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How to Write a Dissertation Proposal | A Step-by-Step Guide

Published on 14 February 2020 by Jack Caulfield . Revised on 11 November 2022.

A dissertation proposal describes the research you want to do: what it’s about, how you’ll conduct it, and why it’s worthwhile. You will probably have to write a proposal before starting your dissertation as an undergraduate or postgraduate student.

A dissertation proposal should generally include:

• An introduction to your topic and aims
• A literature review  of the current state of knowledge
• An outline of your proposed methodology
• A discussion of the possible implications of the research
• A bibliography  of relevant sources

Dissertation proposals vary a lot in terms of length and structure, so make sure to follow any guidelines given to you by your institution, and check with your supervisor when you’re unsure.

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Table of contents

Step 1: coming up with an idea, step 2: presenting your idea in the introduction, step 3: exploring related research in the literature review, step 4: describing your methodology, step 5: outlining the potential implications of your research, step 6: creating a reference list or bibliography.

Before writing your proposal, it’s important to come up with a strong idea for your dissertation.

Find an area of your field that interests you and do some preliminary reading in that area. What are the key concerns of other researchers? What do they suggest as areas for further research, and what strikes you personally as an interesting gap in the field?

Once you have an idea, consider how to narrow it down and the best way to frame it. Don’t be too ambitious or too vague – a dissertation topic needs to be specific enough to be feasible. Move from a broad field of interest to a specific niche:

• Russian literature 19th century Russian literature The novels of Tolstoy and Dostoevsky
• Social media Mental health effects of social media Influence of social media on young adults suffering from anxiety

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Like most academic texts, a dissertation proposal begins with an introduction . This is where you introduce the topic of your research, provide some background, and most importantly, present your aim , objectives and research question(s) .

Try to dive straight into your chosen topic: What’s at stake in your research? Why is it interesting? Don’t spend too long on generalisations or grand statements:

• Social media is the most important technological trend of the 21st century. It has changed the world and influences our lives every day.
• Psychologists generally agree that the ubiquity of social media in the lives of young adults today has a profound impact on their mental health. However, the exact nature of this impact needs further investigation.

Once your area of research is clear, you can present more background and context. What does the reader need to know to understand your proposed questions? What’s the current state of research on this topic, and what will your dissertation contribute to the field?

If you’re including a literature review, you don’t need to go into too much detail at this point, but give the reader a general sense of the debates that you’re intervening in.

This leads you into the most important part of the introduction: your aim, objectives and research question(s) . These should be clearly identifiable and stand out from the text – for example, you could present them using bullet points or bold font.

Make sure that your research questions are specific and workable – something you can reasonably answer within the scope of your dissertation. Avoid being too broad or having too many different questions. Remember that your goal in a dissertation proposal is to convince the reader that your research is valuable and feasible:

• Does social media harm mental health?
• What is the impact of daily social media use on 18– to 25–year–olds suffering from general anxiety disorder?

Now that your topic is clear, it’s time to explore existing research covering similar ideas. This is important because it shows you what is missing from other research in the field and ensures that you’re not asking a question someone else has already answered.

You’ve probably already done some preliminary reading, but now that your topic is more clearly defined, you need to thoroughly analyse and evaluate the most relevant sources in your literature review .

Here you should summarise the findings of other researchers and comment on gaps and problems in their studies. There may be a lot of research to cover, so make effective use of paraphrasing to write concisely:

• Smith and Prakash state that ‘our results indicate a 25% decrease in the incidence of mechanical failure after the new formula was applied’.
• Smith and Prakash’s formula reduced mechanical failures by 25%.

The point is to identify findings and theories that will influence your own research, but also to highlight gaps and limitations in previous research which your dissertation can address:

• Subsequent research has failed to replicate this result, however, suggesting a flaw in Smith and Prakash’s methods. It is likely that the failure resulted from…

Next, you’ll describe your proposed methodology : the specific things you hope to do, the structure of your research and the methods that you will use to gather and analyse data.

You should get quite specific in this section – you need to convince your supervisor that you’ve thought through your approach to the research and can realistically carry it out. This section will look quite different, and vary in length, depending on your field of study.

You may be engaged in more empirical research, focusing on data collection and discovering new information, or more theoretical research, attempting to develop a new conceptual model or add nuance to an existing one.

Dissertation research often involves both, but the content of your methodology section will vary according to how important each approach is to your dissertation.

Empirical research

Empirical research involves collecting new data and analysing it in order to answer your research questions. It can be quantitative (focused on numbers), qualitative (focused on words and meanings), or a combination of both.

With empirical research, it’s important to describe in detail how you plan to collect your data:

• Will you use surveys ? A lab experiment ? Interviews?
• What variables will you measure?
• How will you select a representative sample ?
• If other people will participate in your research, what measures will you take to ensure they are treated ethically?
• What tools (conceptual and physical) will you use, and why?

It’s appropriate to cite other research here. When you need to justify your choice of a particular research method or tool, for example, you can cite a text describing the advantages and appropriate usage of that method.

Don’t overdo this, though; you don’t need to reiterate the whole theoretical literature, just what’s relevant to the choices you have made.

Moreover, your research will necessarily involve analysing the data after you have collected it. Though you don’t know yet what the data will look like, it’s important to know what you’re looking for and indicate what methods (e.g. statistical tests , thematic analysis ) you will use.

Theoretical research

You can also do theoretical research that doesn’t involve original data collection. In this case, your methodology section will focus more on the theory you plan to work with in your dissertation: relevant conceptual models and the approach you intend to take.

For example, a literary analysis dissertation rarely involves collecting new data, but it’s still necessary to explain the theoretical approach that will be taken to the text(s) under discussion, as well as which parts of the text(s) you will focus on:

• This dissertation will utilise Foucault’s theory of panopticism to explore the theme of surveillance in Orwell’s 1984 and Kafka’s The Trial…

Here, you may refer to the same theorists you have already discussed in the literature review. In this case, the emphasis is placed on how you plan to use their contributions in your own research.

You’ll usually conclude your dissertation proposal with a section discussing what you expect your research to achieve.

You obviously can’t be too sure: you don’t know yet what your results and conclusions will be. Instead, you should describe the projected implications and contribution to knowledge of your dissertation.

First, consider the potential implications of your research. Will you:

• Develop or test a theory?
• Provide new information to governments or businesses?
• Challenge a commonly held belief?
• Suggest an improvement to a specific process?

Describe the intended result of your research and the theoretical or practical impact it will have:

Finally, it’s sensible to conclude by briefly restating the contribution to knowledge you hope to make: the specific question(s) you hope to answer and the gap the answer(s) will fill in existing knowledge:

Like any academic text, it’s important that your dissertation proposal effectively references all the sources you have used. You need to include a properly formatted reference list or bibliography at the end of your proposal.

Different institutions recommend different styles of referencing – commonly used styles include Harvard , Vancouver , APA , or MHRA . If your department does not have specific requirements, choose a style and apply it consistently.

A reference list includes only the sources that you cited in your proposal. A bibliography is slightly different: it can include every source you consulted in preparing the proposal, even if you didn’t mention it in the text. In the case of a dissertation proposal, a bibliography may also list relevant sources that you haven’t yet read, but that you intend to use during the research itself.

Check with your supervisor what type of bibliography or reference list you should include.

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Caulfield, J. (2022, November 11). How to Write a Dissertation Proposal | A Step-by-Step Guide. Scribbr. Retrieved 18 June 2024, from https://www.scribbr.co.uk/thesis-dissertation/proposal/

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The Dissertation Essentials area houses guides, manuals, and templates to assist you in your doctoral journey.  There is also a section specifically for rubrics for each of the chapters as well as the proposal and manuscript.  Along with these items, there are additional resources provided for the ASC, Library, technology, accessing published dissertations, and even some school specific resources.

• DSE Manual (Previously Handbook) Use this guide throughout the dissertation process to support you in understanding the courses, deliverables, and expectations of students and the dissertation committee.
• Dissertation Proposal/Manuscript Template You will use this templates to write all chapters of the dissertation.
• PhD-DS Dissertation Proposal/Manuscript Template Students in the PhD Data Science program will use this template to write all chapters of the dissertation.
• DSE Dissertation Revision Timeline Use this template to create a timeline for deliverable revisions in the dissertation.
• SOBE Best Practice Guide for Qualitative Research and Design Methods
• SOBE Best Practice Guide in Quantitative Research and Design Methods

If you are working on your CMP course, your course will provide information on how to format your prospectus/portfolio.

• DSE Chapter 1 Rubric Use this rubric to guide you when writing Chapter 1 of your dissertation.
• DSE Chapter 2 Rubric Use this rubric to guide you when writing Chapter 2 of your dissertation.
• DSE Chapter 3 Rubric Use this rubric to guide you when writing Chapter 3 of your dissertation.
• DSE Dissertation Proposal Rubric Use this rubric to guide you when combining Chapters 1-3 into the Dissertation Proposal.
• DSE Chapter 4 Rubric Use this rubric to guide you when writing Chapter 4 of your dissertation.
• DSE Chapter 5 Rubric Use this rubric to guide you when writing Chapter 5 of your dissertation.
• DSE Dissertation Manuscript Rubric Use this rubric to guide you when combing all five of your dissertation chapters to produce your Dissertation Manuscript.

Not yet at the Dissertation phase?  Getting ready for your CMP course?  Check out the CMP Course Frequently Asked Questions document below:

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Library Dissertation Toolbox Workshop Series

The  Library Dissertation Toolbox Workshop Series  consists of engaging, skill-building workshops designed specifically for doctoral students. Students will learn how to effectively locate, evaluate, and use information relating to their dissertation research topics. Each toolbox session features a new research focus- sign up for the entire series, or just those that most appeal to you:

• Research Process Guide by NU Library Outlines important steps in the research process and covers topics such as evaluating information.
• Managing and Writing the Doctoral Thesis or Dissertation Dr. Linda Bloomberg's newest edition Completing Your Qualitative Dissertation: A Road Map From Beginning to End is out now. This resource includes an interview between Methodspace and Dr. Bloomberg.

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The templates below have been built to ensure a consistent look among most theses and dissertations submitted to the Graduate School. These templates should be used as a guide in formatting your thesis or dissertation with the understanding that your department may require modifications of the template to fit your discipline’s style. Please contact your department’s Format Advisor to discuss any necessary changes.

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Please download the following template to begin your thesis/dissertation. Formatting within the template is already set up for your convenience.

You will need to select the appropriate answer for all dropdown boxes on page 1.  Ex. Thesis/Dissertation, Choose Degree, Choose Department, Choose Campus Location, Choose Graduation Term.

You will need to manually input your committee information on page 2. We ask that you only list your committee member's primary department. The name after "Approved by:" should match the name listed on your Form 9 as "Thesis Form Head".

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The dissertation is the final requirement for the PhD degree.

The research required for the dissertation must be of publishable quality and a significant contribution in a scholarly field. The dissertation is evidence of the candidate’s proficiency and future potential in research.

Students work closely with faculty throughout the program, and especially in the final phase of dissertation research. These faculty members share with the student the exploration of the field, first as advisors and teachers, and later as colleagues joined to advance the science of management.

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Business Dissertation Topics

Published by Owen Ingram at January 5th, 2023 , Revised On May 28, 2024

As a business student, you will study various aspects of conducting business. From handling human resources to managing marketing and finances, you will study them all. However, what is essential is to understand how you will put your learning into practice.

That is when the real challenge starts. You might have aced your quizzes and assignments and stood out in your class, but if you cannot implement your learning in your practical life, your academic success means nothing.

Thus, to help you understand the real-life scenario, the dissertation can be a great starting point. Dissertations help you understand the concepts, frameworks, and models of business in great depth.

Choose a topic for your dissertation that will interest you and help you in your professional life. Thus, to help you fulfil your academic condition and choose an appropriate dissertation topic, here is a list of topics that are recent and relevant.

To help you get started with brainstorming for business topic ideas, we have developed a list of the latest topics that can be used for writing your business dissertation.

These topics have been developed by PhD qualified  writers of our team , so you can trust to use these topics for drafting your dissertation.

You can also start your dissertation by requesting  a brief research proposal  from our writers on any of these topics, which includes an  introduction  to the problem,  research question , aim and objectives,  literature review , and the proposed  methodology  of research to be conducted. Let us know if you need any help in getting started.

Check our  example dissertation to get an idea of  how to structure your dissertation .

You can review step by step guide on how to write your dissertation  here.

So, without further ado, here’s a list of business dissertation topics that will help you stand out in your class.

• International Development Dissertation Topics
• Cooperate Governance Dissertation Topics
• Business Intelligence Dissertation Topics
• Business Information Technology Dissertation Topics
• International Business Dissertation Topics
• Business Management Dissertation Topics
• Business Psychology Dissertation Topics
• Business Law Dissertation Topics
• Project Management Dissertation Topics
• HRM Dissertation Topics
• Management Dissertation Topics
• Operations Management Dissertation Topics

2024 Business Dissertation Topics

Topic 1: an evaluation of the impact of business ethics on the moral obligations associated with business deals of corporations.

Research Aim: The research aims to conduct an evaluation of the impact of business ethics on the moral obligations associated with business deals of corporations

Objectives:

• To analyse the importance of ethics for the shareholders of a business.
• To evaluate the link between business ethics and successful business deals.
• To investigate the impact of business ethics on the moral obligations of corporations while executing business deals

Topic 2: The impact of AI-based tools on business decision making and overall organisational profitability.

Research Aim: The research aims to analyse the impact of AI-based tools on business decision making and overall organisational profitability.

• To analyse the impact of AI tools on the strategic management of the business.
• To evaluate the factors impacting business decision making and profitability.
• To investigate the impact of AI tools on business decision making and overall organisational profitability.

Topic 3: How does the HRM function impact the business health of organisations?

Research Aim: The research aims to understand how the HRM function impacts the business health of organisations.

• To analyse the role of the HRL function of organisations.
• To analyse the concept of business health and how it is measured.
• To examine the impact of HRM on the business health and wellbeing of the organisations.

Topic 4: The impact of corporate governance on firm performance and internationalisation.

Research Aim: The research aims to examine the impact of corporate governance on firm performance and internationalisation.

• To critically analyse the impact of corporate governance on brand image and equity.
• To investigate the impact of firm performance on internationalisation decisions.
• To investigate how corporate governance impacts firm performance and internationalisation.

Topic 5: An assessment of the impact of materials management on production efficiency and cost optimisation of business

Research Aim: The research aims to examine the impact of materials management on production efficiency and cost optimisation of business

• To investigate the impact of materials management in the production business
• To analyse the factors impacting production efficiency and cost minimisation of business.
• To evaluate how materials management impacts production efficiency and cost optimisation of business

Latest Business Dissertation Topics

Topic 1: impact of digital business on the economic growth of the country: a case study of xyz country.

Research Aim: This research will focus on the significance of digital business during the pandemic and its impacts, not the country’s economic growth. It is a detailed view of the future that needs to be digitalised.

Topic 2: Brand Marketing through social media

Research Aim: This research aims to focus on the importance of Brand Marketing through social media by addressing various current strategies used in brand marketing.

Topic 3: Impacts of social media on customer behaviour

Research Aim: This research aims to measure social media’s impacts on customer behaviour and address various strategies that are effective in attracting customers through social media.

Topic 4: What factors influence the consumer's buying decisions?

Research Aim: This research aims to identify factors that influence the consumer’s buying decisions

Topic 5: Black Friday sale strategy to drive sales

Research Aim: This research aims to identify how the Black Friday sale strategy effectively drives sales. How can huge discounts benefit sellers?

Topic 6: The role of Influencer Marketing in increasing sale

Research Aim: Influencer Marketers impact the customer’s perception. This research aims to examine the role of influencer marketing in increasing sales.

Topic 7: Impact of E-marketing on consumer purchase decision: the case of the luxury industry in the UK

Research Aim: This research aims to measure E-marketing’s impact on consumer purchase decisions in the UK luxury industry.

Topic 8: Analysis of the customer-centric marketing strategies in attaining competitive advantage for the firm and sustaining business success

Research Aim: This research focuses on attaining customer-centric marketing strategies in a competitive advantage for the firm and sustaining business success.

Topic 9: Traditional vs. digital marketing: a comparative study of the last ten years

Research Aim: This research aims to conduct a comparative study of traditional vs. digital marketing in the last ten years.

Topic 10: The impact of relationship marketing on customer loyalty: an analysis of the Honda motor

Research Aim: This research aims to assess the impact of relationship marketing on customer loyalty. An analysis of the Honda motor will be conducted as the base of the research.

Topic 11: The importance of search Engines in e-commerce

Research Aim: This research aims to identify the importance of search engines in e-commerce.

Topic 12: E-Commerce company's advertising strategy-critical analysis

Research Aim: This research aims to identify the importance of an E-Commerce company’s advertising strategy.

Topic 13: Importance of customer retention in E-commerce

Research Aim: This research aims to measure the importance of customer retention in E-commerce.

Topic 14: Importance of brand loyalty in Internet marketing

Research Aim: This research aims to identify the importance of brand loyalty in Internet marketing.

Top Business Dissertation Topics

Topic 1: assessing how the regional differences between countries influence the business strategies of multinational companies.

Research Aim: Their regional differences and conflicts between countries have directly affected trade activities. Therefore, this research will identify a highly sensitive issue by analysing how regional differences between countries impact the overall business strategies of multinational companies.

Topic 2: How corporate social responsibility (CSR) affects customer loyalty: A case study of the UK petroleum industry

Research Aim: Corporate social responsibility has become an important phenomenon as it directly impacts the brand image of the company. Therefore, the main purpose of the research is to analyse how CSR activities influence customer perception, which in turn impacts customer loyalty. The focus of the research will be the UK petroleum industry.

Topic 3: Assessing the leadership styles of a non-profit organisation and how they impact the overall business operations

Research Aim: Leadership has always been a significant aspect of any organisation as it has a drastic impact on the overall business processes. Many researchers have focused on identifying the best leadership style for MNCs and SMEs; however, few have focused on non-profit organisations. Therefore, the main purpose of the research is to assess the most effective leadership styles that non-profit organisations should practise and how it affect the overall operations.

Topic 4: Examining the impact of global business negotiations on cross border mergers and acquisitions

Research Aim: The main aim of the research is to analyse the effect of international business negotiations on cross border mergers. Due to intense competition, many companies are going for mergers and acquisitions to enhance their market share. Therefore, this research will explore the aspect of global business negotiations in mergers and acquisitions between two different companies in two different countries.

Topic 5: Analysing the impact of forwarding and backward integration on business performance and sustainability

Research Aim: To gain a competitive advantage, firms have devised various supply chain strategies that help them improve their business performance. One such strategy is forward and backward integration. Therefore, this research will be focusing on analysing the impact of both forward and backward integration on business performance and sustainability.

Topic C1: The economic suffering due to the plague of COVID-19

Research Aim: The research must assess the disruption that has been created by the spread of  COVID-19 in the world. This must include the global lockdown of the countries and the shutting of industries, resulting in soaring unemployment rates and a dramatic decline in economic statistics. The research aims to look at the economic consequences generated by the outbreak of COVID-19 in general.

Topic C2: The major sufferings in the economy as a result of the Coronavirus outbreak

Research Aim: The research must assess the reasons behind the rising suffering in specific business sectors and industries. For instance, the supply chain is suffering because China has become the manufacturing hub, which has brought disruption in the supply chain of the whole industry due to a complete lockdown in the country. The research aims to study majorly affected regions such as the entertainment sector, tourism industry, restaurant sector etc.

Topic C3: Expecting changes in the economic statistics by the outbreak of COVID-19

Research Aim: The recent expected changes by the professionals about the impact of COVID-19 on the global economic statistics must be discussed in the research, such as the estimated growth rates of the world and China was predicted to be 0% and 1.6%, respectively, for the year 2020 by the Ethan Harris, head of global economic research in the Bank of America according to his recent interview. Similarly, articles from other professionals must be included in the research to focus on the effects of an outbreak on the economy.

Topic C4: The major regions and business industries affected by the spread of COVID-19

Research Aim: The research would assess the regions (cities and countries) which are being affected by the spread of coronavirus COVID-19 and the major impacted business industries, such as the food industries like restaurants are completely locked down after the outbreak of the virus and the people that were engaged in those industries are unemployed now. The research aims to focus on such industries and the impact of their lowered productivity on the economy.

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Business Strategy and Globalisation Dissertation Topics

Globalisation can be defined as the process that assists organisations and businesses in spreading their operations and influence on an international scale to increase their profit levels.

According to the Financial Times Lexicon, it is  “a process by which national and regional economies, societies, and cultures have become integrated through the global network of trade, communication, immigration and transportation.”

It would not be wrong to say that globalisation is the integration of policymaking, cultures, markets, industries, and economics around the globe.

In recent times, the concept of globalisation has been expanded to include a broader range of activities and areas such as biological, political, social, cultural, technological, climate and media factors, even though initially it primarily focused on the economies, capital flows, foreign direct investment, and trade.

Some recent topics with respect to globalisation and business strategy are listed below:

Topic 6: Why organisations and businesses must change their business strategies in the era of globalisation

Research Aim: Any and every company that does strategies based on globalisation will lose out on huge business opportunities. Thus, this research will focus on the reasons why companies should plan for globalisation-related strategies.

Topic 7: Business management framework and globalisation – An empirical study

Research Aim: This research will talk about a successful business management framework for companies operating in the era of globalisation.

Topic 8: Global business strategy for MNCs and the role of corporate vision, conflicts, and empowerment

Research Aim: This research will talk about the various business strategies available for MNCs and the role their vision, conflict management, and empowerment play in building these strategies.

Topic 9: Exploring the drivers of Chinese business expansion strategy into Africa and other developing countries

Research Aim: This research will explore the various factors that drive Chinese business expansion into Africa and other developing countries.

Topic 10: An investigation into the process of offshore outsourcing of customer services to determine the causes of poor customer satisfaction

Research Aim: This research will assess customer services’ offshoring process, which in turn impacts customer satisfaction.

Topic 11: Cross border management strategy – A research study focusing on foreign business organisations in Malaysia

Research Aim: This research will talk about cross border management strategies and specifically about foreign businesses operating in Malaysia.

Topic 12: An investigation into the impact of globalisation on UK businesses' operations on both a national and international scale.

Research Aim: This research will study the impact of globalisation on UK businesses. The impact on both national and international scales will be assessed.

Topic 13: How banks can implement business strategies in light of globalisation to improve connectivity with clients – A case of Barclays Plc

Research Aim: This research will focus on the globalisation of banks. Barclays PLC will be used as a case study for this research.

Topic 14: A study to examine the factors affecting the MNC’s choice of alliances and entry modes – The case of Sri Lanka

Research Aim: This study will discuss the various factors that impact the MNC’s choice of alliances and entry modes. Sri Lanka will be used as a case study for this research.

Topic 15: Performance, e-business strategies, and globalisation – Examining the factors affecting the social media strategy of business organisations in the UK

Research Aim: This research will discuss the factors that impact the performance, e-business strategies, and globalisation of UK based businesses. The study will also focus on factors impacting the social media strategy of these organisations.

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Strategic Change Management Dissertation Topics

Change management can be defined as the management of “change and development” within a business organisation. Dealing with the impact of change is of critical importance. Strategic change management helps managers deal with change from the perspective of the individual and an organisation.

An important aspect of this concept is the organisational tools that can help achieve successful transitions to adopt change. Furthermore, business organisations can effectively and quickly implement change to meet changing market requirements as part of the strategic change management process.

Topic 16: An investigation into the implementation of strategic change management in the UK retail sector

Research Aim: This research will analyse and investigate how the UK retail sector changes its business processes to stay relevant in the market.

Topic 17: Examining the factors affecting organisational changes from the perspective of employees – The case of HSBC

Research Aim: This research will focus on organisational changes from the perspective of employees. HSBC will be studied as a case in this research.

Topic 18: Use of a proprietary change management system with respect to transformational change and stakeholder communication

Research Aim: This research will discuss a proprietary change management system that helps with transformational change and stakeholder communication.

Topic 19: The role of feedback in organisational culture change: A case study of any multinational company

Research Aim: This research will assess the role of feedback, be it from employees or customers, in bringing and managing organisational cultural change. This study will be based on a company of your choosing.

Topic 20: Strategic management of change in Asian countries – The case of Singapore

Research Aim: This study will talk about strategic change management in Asian countries. Singapore will be the chosen country for the purpose of this study.

Topic 21: To establish the importance of measuring the stress levels of employees to successfully implement change

Research Aim: This research will talk about the importance of employee stress measurement in order to implement change successfully.

Topic 22: The role of senior management of business organisations in developing a framework that connects unexpected results and strategic plans

Research Aim: This study will talk about the role of senior management of businesses in developing a framework that will help the company bring together strategic plans and unexpected positive results.

Topic 23: Differences in working styles of Saudi project managers and foreign project managers

Research Aim: This research will help understand the different working styles of Saudi project managers and foreign project managers.

Topic 24: Intervention, project management, and change management – The banking sector in the UK

Research Aim: This research will talk about the change management and implementation barriers that companies are unable to implement change effectively.

International Human Resource Management Dissertation Topics

International Human Resource Management is a system that is designed to improve employee performance at national and international levels. The IHRM function primarily focuses on the policies developed to ensure efficient personnel management within organisations at an international level.

Various activities such as training and development, skills enhancement, employee recruitment, motivational programmes, bonuses and rewards systems, and performance appraisal are implemented to help businesses increase their work output.

Topic 25: Managing employees’ performance in non-profit organisations – A case study of any non-profit organisation

Research Aim: This research will help non-profit organisations understand how they can manage and monitor employee performance even when operating at an international level.

Topic 26: Developing an effective human resource management system in large multinational companies – The recommended practices and strategies

Research Aim: This research will help multinational companies develop an effective human resource management system.

Topic 27: Examining the impact of human resource professionals and human resource management in the new global economy

Research Aim: This study will help understand the impact of human resource professionals and shed light on human resource management in the new globalised economy.

Topic 28: Can human resource development and training help to remedy poor selection processes

Research Aim: This research will aim to understand whether resource development and training will lead to better selection processes or not.

Topic 29: The causes and forms of deviance in business and non-profit organisations

Research Aim: This research will help understand the causes and forms of deviance in business and non-profit organisations.

Topic 30: Investigating the effects of organisational transition on employees’ performance in large diversified companies.

Research Aim: This research will investigate the impact of organisational transition on the performance of employees in multinationals.

Topic 31: Configuration of human resource management system in multinational companies

Research Aim: This research will help understand how the human resource management system in multinationals is configured.

Topic 32: Learning from small businesses in the UK – How firm performance is associated with strategic human resource management.

Research Aim: This research will understand how firm performance in small businesses is linked with strategic human resource management and its benefits and limitations.

Topic 33: Human resource challenges for UK construction industry – Knowledge transfer and retention

Research Aim: This research will help understand human resource challenges for the UK construction industry, particularly knowledge transfer and employee retention.

Topic 34: The role of strategic human resource management in the public sector – The recommended practices and policies

Research Aim: This research will help understand the role of strategic human resource management in the public sector.

Information Technology Management Dissertation Topics

The process of managing all information technology resources of a business organisation is known as “information technology management”. It should be noted that the information technology resources of an organisation are usually managed in accordance with the priorities, policies, and requirements set out by the business.

Physical investments, including the staff, data centre facilities, networks, data storage databases, software, and computer hardware, are examples of information technology resources required to be managed within a company.

This is done using simple management skills such as organising and controlling, change management, and budgeting.

Topic 35: Developing a framework for the strategic management of information technology

Research Aim: This research will help companies build a sustainable framework for the strategic management of the information technology sector.

Topic 36: Role of information technology management in large diversified business organisations.

Research Aim: This research will help in understanding the role of information technology management in large businesses.

Topic 37: Analysing the issues associated with the implementation of Information technology in new technology-based firms.

Research Aim: This study will help in assessing issues associated with the implementation of information technology in technology firms.

Topic 38: Recommended practices to introduce and implement information systems in business organisations.

Research Aim: This study will help companies introduce and implement information systems in organisations.

Topic 39: How business organisations can gain a competitive advantage through social media branding in a fast-paced electronics industry?

Research Aim: This study is extremely relevant for this day and age as it focuses on gaining a competitive advantage through social media for the electronics industry.

Topic 40: The role of strategic alliances, acquisitions and mergers in building eCommerce business giants – A case study of any large scale and established virtual company.

Research Aim: This research will focus on understanding the role of strategic alliances, acquisitions, and mergers for e-commerce business giants. You can choose a large scale company of your choice for this study.

Topic 41: How can an e-HR system help UK energy companies improve their efficiency?

Research Aim: Electronic-human resource management systems are a thing of today. This research will focus on implementing e-HR in UK based energy companies.

Topic 42: Identifying the most influential factors affecting information technology management in the UK construction industry.

Research Aim: This research will identify factors that influence information technology management in the UK construction industry.

Topic 43: Investigating the Benefits and Limitations of Implementing Information Technology in the UK Fashion Industry.

Research Aim: This research will help explore the benefits and limitations of implementing information technology in the UK fashion sector.

Topic 44: To investigate the important elements of information technology management.

Research Aim: This research will focus on the essential factors of information technology management.

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Organisational Leadership Dissertation Topics

Business leaders are the management staff that provide operational oversights, inspiration and other administrative services. It is the duty of business leaders to help prioritise organisational objectives and corporate vision for other team members. Here are some interesting topics related to organisational leadership.

Topic 45: Examining the effects of leadership and clarity of vision on business organisations.

Research Aim: This research will understand the impact of leadership on businesses and how having a clear business vision helps organisations.

Topic 46: The impact of organisational culture and leadership behaviours on practices of knowledge management in small and medium-sized enterprises.

Research Aim: This research will examine the impact of organisational culture and leadership behaviours on knowledge management in SMEs.

Topic 47: Examining the impact of leadership on organisational performance of small enterprises in Saudi Arabia.

Research Aim: This research will study the impact of business leadership on the organisational performance of small businesses in Saudi Arabia.

Topic 48: Evaluating the impact of leadership on organisational performance – A case study of any large and diversified firm.

Research Aim: This research will help evaluate the impact of leadership on organisational performance. You can choose a company of your choice for this research.

Topic 49: Role of organisational leadership in developing countries – A case study of any home-grown company.

Research Aim: This study will evaluate the role of organisational leadership in developing countries.

Topic 50: Traits of prevention-oriented and charismatic leader for the successful operation of medium-sized enterprises.

Research Aim: This research will examine the various traits of leadership that are required for successful business operations.

Topic 51: Organisational leadership in the multicultural environment of Saudi Arabia.

Research Aim: This research will focus on organisational leadership in a multicultural environment in Saudi Arabia.

Topic 52: Distinguishing leadership from management to achieve corporate strategies.

Research Aim: This research will analyse and compare leadership and management which companies achieve corporate strategies.

Topic 53: Investigating the differences between individual charismatic leadership and traditional organisational leadership.

Research Aim: This research will help to investigate the differences between charismatic leadership and traditional leadership.

Topic 54: How leadership decisions to implement new business strategies can be influenced by organisational culture – A case study of Nokia.

Research Aim: This research will assess how leadership decisions help in implementing new business strategies and how they are influenced by organisational culture. This study will be based on Nokia.

International Business Strategy Dissertation Topics

International business can be defined as the transactions that occur across country borders as a result of trade. For example, a UK based company selling its products in another country is involved in international business.

Another definition of international business is the exchange/trade of goods or products among businesses and individuals in multiple countries.

However, it is worth noting that all commercial transactions, including transportation, logistics, investments, sales, governmental and private, that occur as a result of trade between two different regions are the elements of International Business.

Here are some interesting topics based on international business strategy:

Topic 55: Investigating the patterns of foreign direct investment in new global economies

Research Aim: This research will help outline foreign direct investment patterns in new global economies.

Topic 56: The future of the bamboo industry in Europe – Opportunities and challenges

Research Aim: This research will understand the bamboo industry in Europe, its opportunities, and the challenges the industry has to face.

Topic 57: How Telenor internationalised in Asia – The case of Pakistan

Research Aim: This research will focus on Telenor expanding its operations in Asia. International business strategies undertaken by the company will be discussed.

Topic 58: Internationalisation opportunities for Chinese multinational companies – The link between international business development and “knowledge and learning.”

Research Aim: This research will explore the internationalisation opportunities for Chinese multinational companies, i.e. the link between international business development and knowledge will be studied.

Topic 59: Exploring strategic alternatives in Research & Development through the exploitation of opportunities and capabilities

Research Aim: This research will talk about the various strategic alternatives in research and development by exploring various opportunities and capabilities.

Topic 60: The role of new theoretical models with respect to global politics and business

Research Aim: This research will understand the role of new theoretical models by considering global politics and businesses.

Topic 61: The impact of corporate governance on performance and internationalisation of business organisation

Research Aim: This research will focus on the impact of corporate governance on the performance and internationalisation of business organisations.

Topic 62: Examining the factors that could motivate large multinational corporations to adapt an internationalisation strategy

Research Aim: This research will analyse the factors that motivate multinationals to adapt to internationalisation strategies.

Topic 63: The growing importance of social media strategies in the global business environment – Internationalisation, e-business plans and performance of firms

Research Aim: This research will understand the importance of social media strategy in the global business environment, i.e. firm performance, e-business plans, etc.

Topic 64: Investigating “foreign direct investment” strategies of large and diversified companies in developing economies – The case of India

Research Aim: This research will examine foreign direct investment strategies of huge diversified businesses based in India.

Corporate Social Responsibility Dissertation Topics

The concept of corporate social responsibility has gained tremendous importance, thanks to growing social and environmental concerns that need to be integrated into business operations.

CSR allows business organisations to achieve a balance of social, environmental, and economic obligations and addresses stakeholders and shareholders’ needs.

Implementing CSR amongst small and medium-sized enterprises can prove to be an extremely daunting task primarily because it requires strategies to be designed in a manner where the respective capabilities and needs of these businesses are considered, but the profitability of the company is not adversely impacted.

Here are some relevant CSR dissertation topics for you to choose from:

Topic 65: Investigating the role of corporate social responsibilities in brand equity

Research Aim: This research will analyse how brand equity is built with the help of corporate social responsibility.

Topic 66: How values are associated with perceptions of corporate social responsibility

Research Aim: This research will talk about how values and perceptions are associated with corporate social responsibility and how businesses view it.

Topic 67: Effects of CSR on the performance of business organisations in transitional economies

Research Aim: This study will examine how CSR impacts businesses’ performance operating in transitional economies.

Topic 68: Investigating performance and strategic plans of UK firms with respect to corporate social responsibility

Research Aim: This research will investigate the performance and strategic plans of UK firms with regard to their respective corporate social responsibility.

Topic 69: To what extent do international certifiable management regulations influence business practices

This research will aim to understand the extent to which international certifiable management regulations impact business practices.

Topic 70: Corporate social responsibility in developing countries – The case of the Chinese construction industry

Research Aim: This research will talk about corporate social responsibility in developing countries and focus on the Chinese construction industry.

Topic 71: Corporate social responsibility and societal expectations – A case of any multinational corporation

Research Aim: This research will understand the expectations associated with corporate social responsibilities. A multinational will be chosen for this study.

Topic 72: How corporate social responsibility affect business practices of the UK energy sector

Research Aim: This research will help understand how corporate social responsibility impacts business practices in the UK energy sector.

Topic 73: The role of CSR on international corporate governance theories and practices

Research Aim: This research will examine the role of CSR in international corporate governance theories and practices.

Topic 74: Financial performance of selected European corporations in light of corporate social responsibility

Research Aim: This research will understand how the financial performance of European businesses is impacted by corporate social responsibility.

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Organisational Behaviour Dissertation Topics

Organisational behaviour can be defined as how individuals interact with larger groups to create more efficient businesses. The theories of organisational behaviour can help to achieve maximum output from individual members of a team. Here are some interesting topics to help you pick an appropriate dissertation topic on organisational behaviour.

Topic 75: Investigating the impact of values and beliefs on employees’ performance and commitment at the workplace

Research Aim: This research will investigate the impact of beliefs and values on employees’ performance and commitment at the workplace.

Topic 76: Studying the impact of culture on organisational behaviour – The case of the Indian telecommunication industry

Research Aim: This research will help study the impact of culture on organisational behaviour. The Indian telecommunication industry will be the focus of this research.

Topic 77: Examining decision-making process in multinational corporations in light of organisational behaviour and choice

Research Aim: This research will help examine the decision making process in multinationals with respect to organisational behaviour and choice.

Topic 78: Organisational citizenship behaviour and organisational commitment, psychological contract and conflict at Oxford University

Research Aim: This research will help understand organisational citizenship behaviour, organisational commitment, and conflict at Oxford University.

Topic 79: Exploring the relationship between a sense of belongingness and development of trust with managerial behaviour in large and diversified organisations

Research Aim: This research will help in understanding the relationship between trust and a sense of belongingness in huge, multicultural organisations.

Topic 80: Investigating causes of unethical actions of individuals in the workplace – Analysing organisational standards, practices, ethical behaviour

Research Aim: This study will explore causes that lead to unethical actions at workplaces. The research will analyse the organisational standards, practices, and ethical behaviour.

Topic 81: Developing organisational citizenship behaviour and organisational culture in the pre-inauguration stages – The case of the UK hotel industry

Research Aim: This research will help develop organisational citizenship behaviour and organisational culture in the early days of businesses. The UK hotel industry will be the main focus of this research.

Topic 82: Comparing employees’ attitudes and organisational cultural values in the Indian agricultural sector

Research Aim: This research will compare employee attitude and organisational cultural values in the Indian agricultural sector.

Topic 83: This study will explore the relationship between employee performance and corporate objectives.

Research Aim: The research will take into consideration the role of shared values and standards.

Topic 84: Introducing, Implementing, and Managing Change in a Multinational – Assessing the Conflicts associated with it

Research Aim: This research will study global change management as to how multinationals introduce, implement and manage change globally.

List of Top Trending Business Dissertation Topics In 2024

• The Role of Artificial Intelligence in Business Decision-Making
• Gig Economy’s Impact on Traditional Employment Structures
• Blockchain Technology in Supply Chain Management for Efficiency
• The Rise of Social Media Influencers and Their Disruption of Marketing Strategies
• Fostering Innovation in a Remote Work Environment
• The Ethical Implications of Big Data Analytics in Modern Business Practices
• The Growing Power of Customer Experience as a Competitive Differentiator
• Mergers and Acquisitions in the Age of Digital Transformation
• Redefining Leadership in a Multigenerational Workforce
• The Impact of Remote Work on Corporate Culture
• How E-commerce is Changing Consumer Behaviour and Shopping Experiences
• The Influence of Fintech on Traditional Financial Institutions
• Exploring the Potential and Challenges of Sharing Economy for Sustainable Business Models
• How Social Impact is Shaping Consumer Choices
• Protecting Businesses in a Digital World
• The Power of Data-Driven Marketing
• The Gig Economy and its Impact on Employee Benefits and Social Security Systems
• The Increasing Importance of Cybersecurity Awareness Training for Employees
• The Rise of Remote Work and its Implications for Urban Planning and Development
• The Growing Influence of Employee Activism on Corporate Social Responsibility Initiatives
• The Impact of Automation on Jobs
• The Ethical Considerations of Artificial Intelligence in Business
• Redefining Work-Life Balance in a Technologically Driven World
• Blockchain Technology and its Potential to Transform Business Processes Across Industries
• The Power of Storytelling in Modern Marketing
• The Growing Popularity of Subscription-Based Business Models
• The Impact of Globalisation on Labour Practices
• The Ethical Challenges of Using Social Media Data for Targeted Advertising
• The Role of Corporate Social Responsibility in Building Brand Reputation and Customer Trust
• The Impact of Remote Work on Employee Mental Health
• The Rise of Remote Collaboration Tools
• The Increasing Importance of Data Privacy Regulations and their Impact on Business Practices
• The Growing Influence of ESG (Environmental, Social, and Governance) Factors on Investor Decisions
• The Rise of the Creator Economy
• The Future of Work in the Age of Automation
• The Ethical Implications of Facial Recognition Technology in Business Applications
• The Impact of Artificial Intelligence on the Future of Customer Service
• The Growing Demand for Sustainable Products and Services
• The Future of Workplace Learning

Important Notes:

As a student of business studies looking to get good grades, it is essential to develop new ideas and experiment with existing business theories – i.e., to add value and interest to your research topic.

The field of business is vast and interrelated to so many other academic disciplines like  civil engineering ,  construction ,  law , and even  healthcare . That is why creating a business dissertation topic that is articular, sound, and actually solves a practical problem that may be rampant in the field is imperative.

We can’t stress how important it is to develop a logical research topic; it is the basis of your entire research. There are several significant downfalls to getting your topic wrong; your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, and there is a possibility that the study is not viable.

This impacts your time and efforts in  writing your dissertation , as you may end up in a cycle of rejection at the very initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

While developing a research topic, keeping our advice in mind will allow you to pick one of the best business dissertation topics that fulfils your requirement of writing a research paper and add to the body of knowledge.

Therefore, it is recommended that when finalising your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and be practically implemented. Take a look at some of our sample business dissertation topics to get an idea for your own dissertation.

How to Structure Your Business Dissertation

A well-structured   dissertation can help students   to achieve a high overall academic grade.

• A Title Page
• Acknowledgements
• Declaration
• Abstract: A summary of the research completed
• Table of Contents
• Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems. An outline of the structure of a dissertation can  also be added to this chapter.
• Literature Review :  This chapter presents relevant theories and frameworks by analysing published and unpublished literature available on the chosen research topic in light of the research questions to be addressed. The purpose is to highlight and discuss the relative weaknesses and strengths of the selected research area while identifying any research gaps. Break down of the topic, and key terms can positively impact your dissertation and your tutor.
• Methodology: The  data collection  and  analysis methods and techniques employed by the researcher are presented in the Methodology chapter, which usually includes  research design, research philosophy, research limitations, code of conduct, ethical consideration, data collection methods, and  data analysis strategy .
• Findings and Analysis: Findings of the research are analysed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include  graphs ,  charts, and  tables in this chapter to identify meaningful trends and relationships.
• Discussion and  Conclusion: The researcher presents his interpretation of results in this chapter and states whether the research hypothesis has been verified or not. An essential aspect of this section is to establish the link between the results and evidence from the literature. Recommendations with regard to the implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
• References:  Make sure to complete this in accordance with your University’s requirements
• Bibliography
• Appendices: Any additional information, diagrams, and graphs used to complete the dissertation  but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

About ResearchProspect Ltd

ResearchProspect is a  UK based academic writing service that provides help with  Dissertation Proposal Writing ,  PhD Proposal Writing ,  Dissertation Writing ,  Dissertation Editing, and Improvement .

Our team of writers is highly qualified and is an expert in their respective fields. They have been working for us for a long time. Thus, they are well aware of the issues and the trends of the subject they specialise in.

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Thesis and dissertation template.

The Graduate College offers a thesis/dissertation template that contains all required content and formatting. You can either write your document from within the template or apply the template’s formatting to your previously created work.

Need help working in the template? Schedule an appointment today.

Before You Begin

The first time you download the template, save the template file to your computer before you begin work on your document. This is important if you are composing your thesis/dissertation within the template or if you are copying and pasting your content into the template. You may need the original template file in the future.

Please note: We offer the Google Doc template for initial drafts of your thesis/dissertation to share easily with your committee chair. We do not accept Google Documents as the final document of your thesis/dissertation. Google Docs does not have the functionality we require for our final theses/dissertations. Please use the Google Doc template while keeping in mind that you will need to convert your document to Microsoft Word later.

Download Thesis and Dissertation Template (Word Doc) Download Thesis and Dissertation Template (LATEX) Download Thesis and Dissertation Template (Google Doc)

Word Template Last Updated: February 2021

Word Document Template Information

Download instructions.

• Download the Boise State Template from the orange callout ribbon above.
• Show the downloaded file in the Downloads folder.
• Right click and select Open
• Enable Content
• Click File > Save As and name the file, for instance, Boise_State_Template.dotm (note the extension is “.dotm”) and  Save as type:  Word Macro-Enabled Template (*.dotm) .  It is recommended locating this file on your desktop – it may come in handy if you need to reattach the template to your document in the future (see below).
• Close this file.

Working Within the Template

To work within the template, styles are applied throughout the document. These styles can be found by clicking the arrow in the lower right hand corner of the Styles section in the Home tab. To apply a style, simply highlight the text that you wish to format and click the appropriate name from the styles list.

When entering your own work into the template, be sure to apply the following styles to the appropriate parts of your document. Failure to do so will mean that your Table of Contents, List of Figures, and List of Tables will be incorrect.

• Format a Heading 1 in all caps, and centered
• Format a Heading 2 in title-caps, bold, and centered
• Format a Heading 3 in title-caps, underlined, and aligned left
• Format a Heading 4 in title-caps, underlined, and indented once
• Format a Heading 5 in title-caps, underlined and indented twice
• Figure Captions are bolded and centered in the template. They may also be justified.
• Table Captions are bolded and aligned left in the template. They may also be justified.
• Appendix Heading 2
• Appendix Heading 3

Formatting Landscape Pages

When setting pages of your document to landscape orientation to accommodate large figures or tables, you must reformat their page numbers so that they will still be visible after binding.

• Open the landscape page’s header by double-clicking within the header.
• Deselect Link to Previous, located in the Navigation section of the Design tab. Repeat this step for the page following the landscape page.
• Delete the landscape page’s current page number.
• Click Insert → Page Number (in the Header & Footer section)→Page Margins.
• Select Landscape Page Numbers.

Note: If your other pages’ pagination disappears after inserting landscape page numbers, you likely did not turn off Link to Previous. Undo your changes to the page numbers and restart the instructions.

Replacing Table of Contents, List of Figures, and List of Tables

After your writing and editing is complete, you will need to replace the Table of Contents, List of Figures, and List of Tables.

• Right click the existing TOC, LOF, or LOT.
• Click Update Field.
• Select Update entire table and click Ok.

Note: All other lists (such as a List of Abbreviations or List of Graphs) are not updated automatically. Instead, the template includes examples of manually-created lists that can be altered to fit your needs.

Attaching the Template to a Preexisting Document. If your document is at or near completion, it may be easier for you to attach the template to your existing file than to paste your document into a new template.

Formatting Styles and Applying Styles

Before attaching the Thesis/Dissertation template to your document, you must first apply the following styles to the appropriate sections of your work. It does not matter how these styles look – when you first apply them they will not look right – only that the names of the styles match those in the following list exactly. After you have applied all the styles and attach the template the document will be formatted correctly.

These styles can be found by clicking the arrow in the lower right hand corner of the Styles section in the Home tab. Leave this menu open while you work through the document. To apply a style, simply highlight the text that you wish to format and click the appropriate name from the styles list.

Attaching Styles

• Access the Styles menu by clicking the lower-right corner of the Styles box on the Home tab in Windows. Keep this menu open on the side of your screen and apply the styles to your document as you work.
• Highlight the text you wish to format (it is often only necessary to “click in” the section you wish to format)
• Click the appropriate style from the Styles menu

Note: If the style you are looking for is not included in the list you may need to create the style (see next).

Creating Styles

Some required styles will not be listed in the premade styles, thus you will need to create them yourself.

• Highlight the text that you wish to format
• Right click the text and select Styles → Save Selection as a New Quick Style.
• Enter the appropriate style name and click OK.

Note: Remember, it does not matter how these styles look at this time, only that the style names match the names listed in the table above.

Attaching the Template

After applying styles to your document, you can attach the template, which will fix most of your document’s formatting issues.

• Download the Boise State Thesis and Dissertation Template and save it to your computer. See instructions above under “Before you Begin.”
• Open the Word document containing your thesis/dissertation, click file, click options, click add-ins, and select templates from the Manage drop down menu at the bottom of the page. Click go.
• In the Document Template section, click Attach.
• Navigate to the folder in which you saved the template and select it.
• Important: Check the box labeled “Automatically update document styles.”

Adjusting Margins

• Click Ctrl+A to select the entire document.
• In the Home ribbon, click layout, click margins and select the mirror margin option that contains inside margin 1.5″, top and bottom margins 1.”

Setting Page Numbers

Be careful that you set section breaks between front matter and body text and also between portrait and landscape-oriented pages (see Manually Formatting Your Document for instructions on setting page breaks). Each has a different way of formatting their pagination.

Front Matter

•  Set a continuous section break immediately before the Heading 1 on the first page that follows your approval pages.
• Set a continuous section break immediately before the title of Chapter 1.
• Open the footer on the first page following your approval page by clicking the Footer button in the Header & Footer section of the Insert tab and selecting Edit Footer.
• Deselect Link to Previous, located in the Navigation section of the Design tab. This step is only necessary for the first numbered page in the front matter.
• Insert page numbers. Front matter page numbers should be in lowercase Roman numerals and should be centered at the bottom of each page.
• Double-click inside the footer of the first page in Chapter 1.
• Deselect Link to Previous, located in the Navigation section of the Design tab. This step is only necessary for the first page in the body text.
• Delete the page numbers from the footer.
• Open the header on the same page by double-clicking inside the header.
• Deselect Link to Previous, located in the Navigation section of the Design tab.
• Insert alpha-numeric page numbers, starting with 1, into the upper right-hand corner of the pages.

Landscape Pages

• Repeat step 3 on the page following the landscape page.
• Click Insert → Page Number (in the Header & Footer section) → Page Margins.

Inserting Table of Contents and Lists of Figures or Tables

Finally, after your document’s content is complete, you will need to create the Table of Contents, List of Figures, and List of Tables.

• In the Home ribbon, select References , then select Table of Contents and choose the first option.
• To build your list of tables or figures do the following: on the Home ribbon, select references, select Insert List of Table of Figures, on the options drop down select either table captions or figure captions depending on which you are creating. You will then have to manually insert the heading.

Note: The template does not include macros for automatically generating other lists such as a List of Abbreviations or List of Graphs. However, it does include example lists that can be copied, pasted, and altered to meet your needs.

Helpful Tips

• Access the Styles menu by clicking the lower-right corner of the styles box on the Home tab in Windows. Keep this menu open on the side of your screen, or on a second screen, and apply the styles to your document as you work. To make the document styles behave, use the styles in the template. For example, for all Heading 1s, use the Heading 1 style, which will automatically insert a break and a 2 inch margin, etc. As long as the styles are used, the document should behave appropriately, and the table of contents will include the headings once updated. To modify the Table of Contents, click once to highlight the table in gray, right-click and select “Update Entire Field.”
• Show formatting marks as you work in your document.  Click on the File tab, then Options, Display, and click on the box “Show all formatting marks” and OK.

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How to Write a Dissertation or Thesis Proposal

Published on September 21, 2022 by Tegan George . Revised on July 18, 2023.

When starting your thesis or dissertation process, one of the first requirements is a research proposal or a prospectus. It describes what or who you want to examine, delving into why, when, where, and how you will do so, stemming from your research question and a relevant topic .

The proposal or prospectus stage is crucial for the development of your research. It helps you choose a type of research to pursue, as well as whether to pursue qualitative or quantitative methods and what your research design will look like.

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Table of contents

What should your proposal contain, dissertation question examples, what should your proposal look like, dissertation prospectus examples, other interesting articles, frequently asked questions about proposals.

Prior to jumping into the research for your thesis or dissertation, you first need to develop your research proposal and have it approved by your supervisor. It should outline all of the decisions you have taken about your project, from your dissertation topic to your hypotheses and research objectives .

Depending on your department’s requirements, there may be a defense component involved, where you present your research plan in prospectus format to your committee for their approval.

Your proposal should answer the following questions:

• Why is your research necessary?
• What is already known about your topic?
• Where and when will your research be conducted?
• Who should be studied?
• How can the research best be done?

Ultimately, your proposal should persuade your supervisor or committee that your proposed project is worth pursuing.

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Strong research kicks off with a solid research question , and dissertations are no exception to this.

Dissertation research questions should be:

• Focused on a single problem or issue
• Researchable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to your field of study and/or society more broadly
• What are the main factors enticing people under 30 in suburban areas to engage in the gig economy?
• Which techniques prove most effective for 1st-grade teachers at local elementary schools in engaging students with special needs?
• Which communication streams are the most effective for getting those aged 18-30 to the polls on Election Day?

An easy rule of thumb is that your proposal will usually resemble a (much) shorter version of your thesis or dissertation. While of course it won’t include the results section , discussion section , or conclusion , it serves as a “mini” version or roadmap for what you eventually seek to write.

Be sure to include:

• A succinct introduction to your topic and problem statement
• A brief literature review situating your topic within existing research
• A basic outline of the research methods you think will best answer your research question
• The perceived implications for future research
• A reference list in the citation style of your choice

The length of your proposal varies quite a bit depending on your discipline and type of work you’re conducting. While a thesis proposal is often only 3-7 pages long, a prospectus for your dissertation is usually much longer, with more detailed analysis. Dissertation proposals can be up to 25-30 pages in length.

Writing a proposal or prospectus can be a challenge, but we’ve compiled some examples for you to get your started.

• Example #1: “Geographic Representations of the Planet Mars, 1867-1907” by Maria Lane
• Example #2: “Individuals and the State in Late Bronze Age Greece: Messenian Perspectives on Mycenaean Society” by Dimitri Nakassis
• Example #3: “Manhood Up in the Air: A Study of Male Flight Attendants, Queerness, and Corporate Capitalism during the Cold War Era” by Phil Tiemeyer

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The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
• If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation , such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review , research methods , avenues for future research, etc.)

A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your sampling methods or criteria for selecting subjects
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

A dissertation prospectus or proposal describes what or who you plan to research for your dissertation. It delves into why, when, where, and how you will do your research, as well as helps you choose a type of research to pursue. You should also determine whether you plan to pursue qualitative or quantitative methods and what your research design will look like.

It should outline all of the decisions you have taken about your project, from your dissertation topic to your hypotheses and research objectives , ready to be approved by your supervisor or committee.

Note that some departments require a defense component, where you present your prospectus to your committee orally.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

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Dissertation examples

Listed below are some of the best examples of research projects and dissertations from undergraduate and taught postgraduate students at the University of Leeds We have not been able to gather examples from all schools. The module requirements for research projects may have changed since these examples were written. Refer to your module guidelines to make sure that you address all of the current assessment criteria. Some of the examples below are only available to access on campus.

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Students in the School of Economics at the University of Nottingham consistently produce work of a very high standard in the form of coursework essays, dissertations, research work and policy articles.

Below are some examples of the excellent work produced by some of our students. The authors have agreed for their work to be made available as examples of good practice.

Undergraduate dissertations

• The Causal Impact of Education on Crime Rates: A Recent US Analysis . Emily Taylor, BSc Hons Economics, 2022
• Does a joint income taxation system for married couples disincentivise the female labour supply? Jodie Gollop, BA Hons Economics with German, 2022
• Conditional cooperation between the young and old and the influence of work experience, charitable giving, and social identity . Rachel Moffat, BSc Hons Economics, 2021
• An Extended Literature Review on the Contribution of Economic Institutions to the Great Divergence in the 19th Century . Jessica Richens, BSc Hons Economics, 2021
• Does difference help make a difference? Examining whether young trustees and female trustees affect charities’ financial performance. Chris Hyland, BSc Hons Economics, 2021

Postgraduate dissertations

• The impact of Covid-19 on the public and health expenditure gradient in mortality in England . Alexander Waller, MSc Economic Development & Policy Analysis, 2022
• Impact of the Child Support Grant on Nutritional Outcomes in South Africa: Is there a ‘pregnancy support’ effect? . Claire Lynam, MSc Development Economics, 2022
• An Empirical Analysis of the Volatility Spillovers between Commodity Markets, Exchange Rates, and the Sovereign CDS Spreads of Commodity Exporters . Alfie Fox-Heaton, MSc Financial Economics, 2022
• The 2005 Atlantic Hurricane Season and Labour Market Transitions . Edward Allenby, MSc Economics, 2022
• The scope of international agreements . Sophia Vaaßen, MSc International Economics, 2022

Thank you to all those students who have agreed to have their work showcased in this way.

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Home > Business > Doctoral Dissertations

Doctoral Dissertations

Submissions from 2024 2024.

The Impact of Artificial Intelligence and Machine Learning on Organizations Cybersecurity , Mustafa Abdulhussein

Possible Under Utilization of Agile Management in Curriculum Change Process of Aviation Degree Programs , Samantha Bowyer

Exploration of the Financial Impact of the Pandemic Among Filipino Asian Immigrant Entrepreneurs in Duval County Florida , Thomas N. Cannistra

Crowdsourcing Strategizing: A View From the Top , Priscilla L. Eddings

Marketing Management of Online Negative Reviews of Medical Services , Christopher Edward Feltes

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The Perpetual Challenges of Nonprofit Board Governance and Its' Impact on Operations , Gala U. Harvell

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Submissions from 2023 2023

The Use of Multidisciplinary Care Teams in Diagnosing and Managing Care of Cancer Patients in Eastern Kentucky , Terry Lee Adams

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Assessing the Lack of Project Management Soft Skills Toward Project Completion Rates , Rene Orlando Aleman

Effective Strategies for Midsized Nonprofit Human Service Organizations in the Washington D.C. Metropolitan Area to Maintain Financial Sustainability , Ivy Ann Beckham

Financial Capability – Examining the Impact of Financial Education on U.S. Military Members , Philip Mason Chapman

High Health Care Cost in the U.S. and Its Impact on an African American Church Community in East Orange, New Jersey , William Charles

Exploring Target Marketing at Private Universities Directed to the Nontraditional Student Population , Connie Chester Christian

Current Management Issues in Health Information Technology , Gladys Dadson

Strategic Leadership for Managing Diversity , Amdy Diene

Cultivating Employee Relationships , Kimberly Lynn England

Leadership Support as an Influence on Frontline Healthcare Employee Retention in the Washington Metropolitan Area (DMV) , Tamika Fair

Exploring the Impacts of Funding Models on Business as Mission Organizations in Asia: A Multiple-case Study , Jeremiah Joel Finch

Organizational Cultures Effect on Productivity in Manufacturing , Jonathan Karl Foley

Air Force Support for the Joint Military Environment: A NATO Allied Command Operations Headquarters Case Study , James R. Hamilton

Biblical Leadership: Combatting Authoritarianism , Katherine M. Inman

A Quantitative Examination of the Relationships Between Work-Life Balance, Burnout, and Turnover Intentions Among Texas Public Accounting Professionals , Vicky Ruth Johnson

Unlocking the Talent Puzzle: Examining the Impact of Job Satisfaction, Organizational Commitment, and Career Development on Talent Attraction and Retention , Angela Denise Lamar

Weak Organizational Culture in Higher Education Leads to Unmet Organizational Goals , Jennifer Willard Matthews

Impact of Audit Time Pressure on Audit Quality , Janae Monet McClam

Organizational Preparedness Required for System Implementation , Kaitlyn Marie McCollum

An Assessment of Hospice Patients’ Experience from Cancer Care Services in the United States Hospitals: A Mixed-Method Study , Femi Obasun

A Qualitative Analysis of Corporate Responsibility for the Education of U.S. Citizens , Heidi Leslie O'Donnell

The Impact and Inability of Leaders to Address Employee Grievances , Esther Ayomide Osayi

Redesigning an Effective Pathway to Consumer Loyalty for Sustainable Competitive Advantage , Stephen P. Panczak

A Multiple Case Study: Male Correctional Officers’ Experiences and Attitudes Regarding “Gender Quota” Human Resource Management Strategies in Corrections , Rebecca Jo Patterson

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The Middle Management Leader and the Matrixed Organization , Donald Keith Stephens

Improving Strategic Management Planning in Non-Profit Organizations: Federally Qualified Health Centers , Esther Taylor

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Submissions from 2022 2022

An Empirical Study of the Relationship Between Organizational Commitment, Employee Voice Behavior, and Psychological Well-Being Among Employees Within Mid-Size Service , Katelin Barron

Government Contract Re-compete Impacts on Employees , John James Bergmann

Fraud Risk Management to Detect and Prevent Employee Fraud in Small Rural Businesses , Daphne Yuying Bishop

Exploring the COVID-19 Pandemic Impact on Hawai'ian Small Businesses , Farrel Anthony Blake

The Effects of Leadership Organizational Culture on Employee Performance Resulting in High Turnover, Low Morale, and Decreased Productivity , Damon Brown-Crawford

Pandemics and United States Pharmaceutical Stocks’ Rates of Return , Ronald Franklin Burnette Jr

Effect of Supervisor Bias on Performance Motivation During Incentive-Based Performance Reviews , Jessica Lace Burrell

Just-In-Time/Just-In-Case Inventory Management as an Influence on Supply Chain Disruption in Medical Systems Based in the Southeastern United States During the COVID-19 Pandemic , Brooke Gibson Coslett

Internal Controls in Small City Government , M. Wade Cothran

Empowering Healthcare Workers through Transformational Leadership , Angela Nicole Craig

Big Bath Earnings Management in Accounting , Shannon Danysh-Hashemi

Distribution Center ERP Utilization , Andrew B. Davidson

Exploring Succession Planning for Executive Leadership Positions within Ohio's Faith-based Organizations: A Multiple-Case Study , Gilda Drammeh

Exploring Financial Literacy and Overconfident Investor Behavior , Ryan J. Drews

Communicating the Value Contributions of Pathology and Laboratory Medicine (PaLM) to Healthcare Administrators, Evidence of Value from a Multiple Cases Study , Susan K. Edralin

The EMS Deficit: A Study on the Excessive Staffing Shortages of Paramedics and its Impact on EMS Performance in the States of South Carolina and North Carolina and Interventions for Organizational Improvements. , James Boyd Eubanks

Mental Health Experiences in the Workplace , Laura L. Goff

Certified Nursing Assistant Turnover in the Long-Term Care Facility Industry , Michael Leroy Gregory

Employment Branding for University Graduates in Jamaica , Caroline Harvey

The Lack of Communication in Leadership , Wendy Webb Hicks

Project Management Skills for Highly Successful Virtual Project Teams , Andrea Hogge

Substance Abuse's Impact on Public Accounting , William Dennis Holmes

The Impact of Strategic Planning in Small Business: Empirical Evidence From East Tennessee , Sara Howe

Corporate Social Responsibility Engagement Levels and Employee Performance , Omotola Idowu

Enhancing Success Through Leadership , Wendy T. Jewell

Going Virtual: Addressing the Challenges Faced by Organizational Leaders When Employees Transition to Virtual Environments in Times of Crisis , Mary Susan Johnson

Telework in Times of Crisis , Samantha Jones

Distributed Leadership in West Virginia Higher Education , Jennie Lee Khun

Mitigating Supply Chain Disruptions, Risks, and Vulnerabilities , John Jeong Kim

Human Resource Strategy in Times of Disruption , April R. Kinchen

Decision Usefulness of Goodwill in Financial Statement Reporting , B. Mechelle Lafon

Overcoming Barriers to Social Enterprise Expansion, Growth, and Financial Sustainability: The Leadership Challenges , Elizabeth A. Lee

Evaluating the Impact of Diversity Training in the Workplace. , Vilmarie Lopez

Stronger: Can Financial Adversity Faced by Small Business Enterprises Lead to Small Business Success & Resilience , Jeffery R. McDurmont

Adapting North American Selling Methods to Cross-Cultural Technology Sales Engagements in the Borderless Global Economy , Zachary Paul McKinley

Organizational Change in the Workplace during the COVID-19 Pandemic , Takeisha Shante Miles

Strategies and Internal Control Procedures for Decreasing Fraud in Faith-Based Nonprofit Organizations , Shawn Thomas Miller

Local Food in Caribbean Small Island Developing States (SIDS) Destination Marketing – The Case of Trinidad & Tobago , Winston Mohammed

Leadership Adaptability Within the Higher Education Industry , Rebecca Niemeyer Rens

The Impact of Network Engineer Configuration on Campus Network Performance , Ralph Chimaren Odima

Evaluating the Effectiveness of Leadership Development Programs in the Public Sector and Its Impact on Organizational Performance , Chijioke Henry Osuagwu

The Effects of Big Data and Blockchain on the Audit Profession , Tereesha Marquette Patterson

Ergonomic Safety in Supply Chains , Andrew Thompson Prior

Operational Structures Forming Complex Feedback Loops in Health System / Accountable Care Partnerships – A Multiple-Case Study Investigation to Enable System Dynamics Simulation , Richard J. Pro

Diversity as an Influence on Talent Management and Competitive Advantage: The Absence of Female African American Executive Leadership in the Insurance Industry , Lateisha Tamarra Rainey

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Home > Business > Business Administration ETDs

Theses and Dissertations in Business Administration

Theses and dissertations published by graduate students in the Business Administration program, College of Business, Old Dominion University, since Fall 2016 are available in this collection. Backfiles of all dissertations (and some theses) have also been added.

In late Fall 2023 or Spring 2024, all theses will be digitized and available here. In the meantime, consult the Library Catalog to find older items in print.

Theses/Dissertations from 2023 2023

Dissertation: Two Essays on Industry Tournament Incentives , Sarah Almisher

Dissertation: Two Essays on Investor Sentiment , Amin Amoulashkarian

Dissertation: Two Essays on Retail Trading , Qiqi Liang

Dissertation: Two Essays in Real Estate Dynamics , Navid Safari

Dissertation: Firm Capabilities, Great Power Competition, and the Structural Reshaping of Globalization , Samuel Wilson

Theses/Dissertations from 2022 2022

Dissertation: Three Essays on Stock Price Informativeness, Stock Price Momentum, and Firm Investment Efficiency , Chen Chen

Dissertation: Exploring Blockchain-Based Digital Transformation In Organizations , Weiru Chen

Dissertation: Two Essays on Antecedents and Effects of Award-Winning CEOS , Veronika Ciarleglio

Dissertation: Two’s a Crowd? Implications of Economic Geography for Corporate Governance , Matthew Farrell

Dissertation: Two Essays on the Effects of CEO Social Activism , Habib Islam

Dissertation: Two Essays on the Role of Empathy in Consumer Response to User-Generated Content , Mohammadali Koorank Beheshti

Dissertation: Three Essays on the Effects of Other Customer Brand Tie and Employee Behavior on Consumer Behavior , Saeed Zal

Dissertation: Three Essays on CEO Traits, Corporate Investment Decisions, and Firm Value , Rongyao Zhang

Theses/Dissertations from 2021 2021

Dissertation: Two Essays on Antecedents and Effects of Board Female Representation Non-Conformity , Fatemeh Askarzadeh

Dissertation: Application of Optimization Techniques in Corporate Cash Management , Venkateswara Reddy Dondeti

Dissertation: Two Essays on Corruption, FDI, and Digitalization , Mahdi Forghani Bajestani

Dissertation: Two Essays on the Information Embedded in Flow of Exchange-Traded Funds (ETFs) , Hamed Yousefi

Theses/Dissertations from 2020 2020

Dissertation: The Influence of Mating Motives on Reliance on Form Versus Function in Product Choice , Seyed Hamid Abbassi Hosseini

Dissertation: Three Essays on CEO Characteristics and Corporate Bankruptcy , Rajib Chowdhury

Dissertation: The Effects of CEO Dismissal Risk and Skills on Risky Corporate Decisions and CEO Compensation , Son T. Dang

Dissertation: Essay 1: How We Feel: The Role of Macro-Economic Sentiment in Advertising Spending-Sales Relationship; Essay 2: It Was the Best of Times; It Was the Worst of Times: The Effect of Emotional Uncertainty and Arousal on Healthy Food Choices , Leila Khoshghadam

Dissertation: The Accumulation of IT Capability And Its Long-Term Effect on Financial Performance , Jin Ho Kim

Dissertation: Three Essays on the Roles of Review Valence and Conflict in Online Relationships , Ran Liu

Dissertation: Two Essays on the Microstructure of the Housing Market: Agents' Diffused Effort and Sellers' Behavior Bias , Zhaohui Li

Dissertation: Two Essays on CEO Overconfidence in Relation to Speed of Adjustment of Firm Financial Policy and CEO Inside Debt , Xiang Long

Dissertation: Pricing the Cloud: An Auction Approach , Yang Lu

Dissertation: Two Essays on Consumer Envy , Murong Miao

Dissertation: Two Essays on Negotiations Between Entrepreneurs and Angel Investors , Aydin Selim Oksoy

Theses/Dissertations from 2019 2019

Dissertation: Two Essays on Bitcoin Price and Volume , Mohammad Bayani Khaknejad

Dissertation: Two Essays on Investor Attention, Investor Sentiment, and Earnings Pricing , Qiuye Cai

Dissertation: Success Factors Impacting Artificial Intelligence Adoption --- Perspective From the Telecom Industry in China , Hong Chen

Dissertation: Early Information Access to Alleviate Emergency Department Congestion , Anjee Gorkhali

Dissertation: Two Essays on the Consumer Acculturation Process – A Need for and Development of a Consumer Acculturation Measure , Kristina Marie Harrison

Dissertation: Three Essays on CEO Characteristics and Corporate Decisions , Trung Nguyen

Dissertation: Two Essays on the Effects of Organization Capital on Firm Behavior , Andrew Root

Dissertation: Underlying Factors Behind Generation of Different Types of User-Generated Content - Impact of Individual and Brand/Product Level Factors in Generation of Brand-Oriented Content and Community-Oriented Content , Kemal Cem Soylemez

Dissertation: Customers’ Goal-Related Behavior in Loyalty Programs , Junzhou Zhang

Theses/Dissertations from 2018 2018

Dissertation: Security Risk Tolerance in Mobile Payment: A Trade-off Framework , Yong Chen

Dissertation: Numerical Framing and Emotional Arousal as Moderators of Review Valence and Consumer Choices , Anh Dang

Dissertation: Three Essays on CEO Risk Preferences, and Ability, Corporate Hedging Decisions, and Investor Sentiment , Sonik Mandal

Dissertation: Two Essays on the Creation and Success of New Ventures , Amirmahmood Amini Sedeh

Dissertation: Effectiveness of Social Media Analytics on Detecting Service Quality Metrics in the U.S. Airline Industry , Xin Tian

Dissertation: Two Essays on Value Co-Creation , Hangjun Xu

Theses/Dissertations from 2017 2017

Dissertation: Two Essays on Forced CEO Turnover During Envy Merger Waves, and Dividends , Bader Almuhtadi

Dissertation: The Role of Consumer Ethnocentrism on the Effects of Domestic vs Foreign Product Failure on Post Consumption Emotions and Complaint Behaviors , Kittinand Bandhumasuta

Dissertation: The Impact of Help-Self and Help-Others Appeals Upon Participation in Clinical Research Trials , Susan Lewis Casey

Dissertation: Is Every Tweet Created Equal? A Framework to Identify Relevant Tweets for Business Research , Thad Chee

Dissertation: Three Essays on Mutual Funds, Fund Management Skills, and Investor Sentiment , Feng Dong

Dissertation: Two Essays on the Impact of Institutional Structures on Entrepreneurship: Country Level Analysis , Mehdi Sharifi Khobdeh

Dissertation: Two Essays on the Antecedents and Effects of Internationalizing Out of Emerging and Developed Economies , Mark Robert Mallon

Dissertation: From Placebo to Panacea: Exploring the Influence of Price, Suspicion, and Persuasion Knowledge on Consumers’ Perception of Quality , Vahid Rahmani

Dissertation: Essays on the El Niño Anomaly and Stock Return Predictability , Zhijun Yang

Theses/Dissertations from 2016 2016

Dissertation: The Effect of XBRL and Social Media on Information Asymmetry: Evidence from Bank Loan Contracts , Dazhi Chong

Dissertation: Two Essays on CEO Inside Debt Holding in Relation to Firm Payout Policy and Financial Reporting , Asligul Erkan

Dissertation: Two Essays on The Internationalization Speed of New Ventures , Orhun Guldiken

Dissertation: Two Essays on Shareholder Base, Firm Behavior, and Firm Value , Yi Jian

Dissertation: Valence or Volume? Maximizing Online Review Influence Across Consumers, Products, and Marketing , Elika Kordrostami

Dissertation: Essays on the Equity Risk Premium , Mohamed Mehdi Rahoui

Dissertation: A Study of the Impact of Information Blackouts on the Bullwhip Effect of a Supply Chain Using Discrete-Event Simulations , Elizabeth Rasnick

Dissertation: Two Essays on Investor Emotions and Their Effects in Financial Markets , Jiancheng Shen

Dissertation: Two Studies on The Use of Information Technology in Collaborative Planning, Forecasting & Replenishment (CPFR) , David McCaw Simmonds

Dissertation: Founder CEOs and Initial Public Offerings: The Role of Narratives, Institutions and Cultural Context , Christina Helen Tupper

Dissertation: Ambidexterity: The Interplay of Supply Chain Management Competencies and Enterprise Resource Planning Systems on Organizational Performance , Serdar Turedi

Dissertation: Two Essays on Short Selling , Zhaobo Zhu

Dissertation: Buying Love Through Social Media: How Different Types Of Incentives Impact Consumers’ Online Sharing Behavior , Yueming Zou

Theses/Dissertations from 2015 2015

Dissertation: Three Essays on Dividend Policy , Mehmet Deren Caliskan

Dissertation: "The Magic Formula: Scent and Brand"- The Influence of Olfactory Sensory Co-Branding on Consumer Evaluations and Experiences , Ceren Ekebas

Dissertation: The Value of Integrated Information Systems for U.S. General Hospitals , Liuliu Fu

Dissertation: Two Essays on Managerial Horizon, Cash Holdings and Earnings Management , Sanjib Guha

Dissertation: Three Essays on Opportunistic Claiming Behavior in a Services Setting: Customers and Front Line Employees Perspectives , Denis Khantimirov

Dissertation: Spillover Effects of Brand Alliance and Service Experience on Host Brands in Loyalty Program Partnerships , Gulfem Cigdem Kutlu

Dissertation: Measuring Consumer Expectations of Salesperson Unethicality: A Scale Development , Amiee Mellon

Dissertation: Essays on International Risk-Return Trade-Off Relations , Liang Meng

Dissertation: Two Essays on Investor Attention and Asset Pricing , Nadia Asmaa Nafar

Dissertation: International Venture Capital Firms Syndication and Performance: A Social Network Perspective , Amir Pezeshkan

Dissertation: Three Essays on Institutions, Entrepreneurship, and Development , Adam Smith

Theses/Dissertations from 2014 2014

Dissertation: An Empirical Examination of the Antecedents and Consequences of Earnings Management in Emerging Markets , Shuji Rosey Bao

Dissertation: Dynamic Capabilities and Resilient Organizations Amid Environmental Jolts , Stav Fainshmidt

Dissertation: An Empirical Examination of the Moderators of Direct Versus Indirect Comparative Advertising , Chun-Kai Hsu

Dissertation: Two Essays on Attracting Foreign Direct Investment: From Both a National and Firm Level Perspective , Ryan Lawrence Mason

Dissertation: The Effect of Online Reviews on Attitude and Purchase Intention: How Consumers Respond to Mixed Reviews , Chatdanai Pongpatipat

Dissertation: Three Essays on the Enterprise Strategy for Multinational Firms , Veselina Plamenova Vracheva

Dissertation: The Antecedents and Effects of Strategic Caring: A Cross-National Empirical Study , Thomas Weber

Theses/Dissertations from 2013 2013

Dissertation: International Banking sector Linkages: Did the Global Financial Crisis Strengthen or Weaken the Linkages? , James Edward Benton

Dissertation: Three Essays on Corporate Liquidity, Financial Crisis, and Real Estate , Kimberly Fowler Luchtenberg

Dissertation: Three Essays on Immigrant Entrepreneurship , Kaveh Moghaddam

Dissertation: The Response of Commercial Banks to Credit Stimuli , Denise Williams Streeter

Theses/Dissertations from 2012 2012

Dissertation: An Examination of Middle Manager Innovation Behaviors and Institutional Factors Impact on Organizational Innovation in the USA and Mexico , J. Lee Brown III

Dissertation: Essays on Foreign Reverse Mergers and Bond ETF Mispricing , Charles William Duval

Dissertation: Three Essays on Strategic Risk Taking , Krista Burrill Lewellyn

Dissertation: Two Essays on Executive Pay and Firm Performance , Thuong Quang Nguyen

Dissertation: A Study of Risk-Taking Behavior in Investment Banking , Elzotbek Rustambekov

Dissertation: A Study of Failures in the US Banking Industry , Joseph Trendowski

Dissertation: Two Essays on Behavioral Finance , Quang Viet Vu

Theses/Dissertations from 2011 2011

Dissertation: Three Essays on Individual Currency Traders , Boris Sebastian Abbey

Dissertation: Cross-listing Premium or Market Timing , Moustafa M. Abu El Fadl

Dissertation: Warranty and Price as Quality Signals: The effect of Signal Consistency and Unexpectedness on Product Perception , Sultan Alaswad Alenazi

Dissertation: The Behavior and Choices of Serial Bidders in M&A Transactions: A Prospect Theory Approach , Ahmed Essam El-Din El-Bakry

Dissertation: Two Essays on the Effect of Macroeconomic News on the Stock Market , Ajay Kongera

Dissertation: Intercultural Accommodation of Ethnic Minority Consumers: An Empirical Examination of the Moderating Effects in Service Encounters , Sarah Mady

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Free Business Plan Template for Small Businesses (2024)

Use this free business plan template to write your business plan quickly and efficiently.

A good business plan is essential to successfully starting your business —  and the easiest way to simplify the work of writing a business plan is to start with a business plan template.

You’re already investing time and energy in refining your business model and planning your launch—there’s no need to reinvent the wheel when it comes to writing a business plan. Instead, to help build a complete and effective plan, lean on time-tested structures created by other  entrepreneurs and startups. 

Ahead, learn what it takes to create a solid business plan and download Shopify's free business plan template to get started on your dream today. 

What this free business plan template includes

• Executive summary
• Company overview
• Products or services offered
• Market analysis
• Marketing plan
• Logistics and operations plan
• Financial plan

This business plan outline is designed to ensure you’re thinking through all of the important facets of starting a new business. It’s intended to help new business owners and entrepreneurs consider the full scope of running a business and identify functional areas they may not have considered or where they may need to level up their skills as they grow.

That said, it may not include the specific details or structure preferred by a potential investor or lender. If your goal with a business plan is to secure funding , check with your target organizations—typically banks or investors—to see if they have business plan templates you can follow to maximize your chances of success.

Our free business plan template includes seven key elements typically found in the traditional business plan format:

1. Executive summary

This is a one-page summary of your whole plan, typically written after the rest of the plan is completed. The description section of your executive summary will also cover your management team, business objectives and strategy, and other background information about the brand. 

2. Company overview

This section of your business plan will answer two fundamental questions: “Who are you?” and “What do you plan to do?” Answering these questions clarifies why your company exists, what sets it apart from others, and why it’s a good investment opportunity. This section will detail the reasons for your business’s existence, its goals, and its guiding principles.

3. Products or services offered

What you sell and the most important features of your products or services. It also includes any plans for intellectual property, like patent filings or copyright. If you do market research for new product lines, it will show up in this section of your business plan.

4. Market analysis

This section includes everything from estimated market size to your target markets and competitive advantage. It’ll include a competitive analysis of your industry to address competitors’ strengths and weaknesses. Market research is an important part of ensuring you have a viable idea.

5. Marketing plan

How you intend to get the word out about your business, and what strategic decisions you’ve made about things like your pricing strategy. It also covers potential customers’ demographics, your sales plan, and your metrics and milestones for success.

6. Logistics and operations plan

Everything that needs to happen to turn your raw materials into products and get them into the hands of your customers.

7. Financial plan

It’s important to include a look at your financial projections, including both revenue and expense projections. This section includes templates for three key financial statements: an income statement, a balance sheet, and a cash-flow statement . You can also include whether or not you need a business loan and how much you’ll need.

Business plan examples

What do financial projections look like on paper? How do you write an executive summary? What should your company description include?  Business plan examples  can help answer some of these questions and transform your business idea into an actionable plan.

Professional business plan example

Inside our template, we’ve filled out a sample business plan featuring a fictional ecommerce business . 

The sample is set up to help you get a sense of each section and understand how they apply to the planning and evaluation stages of a business plan. If you’re looking for funding, this example won’t be a complete or formal look at business plans, but it will give you a great place to start and notes about where to expand.

Lean business plan example

A lean business plan format is a shortened version of your more detailed business plan. It’s helpful when modifying your plan for a specific audience, like investors or new hires. 

Also known as a one-page business plan, it includes only the most important, need-to-know information, such as:

• Company description
• Key members of your team
• Customer segments

💡 Tip: For a step-by-step guide to creating a lean business plan (including a sample business plan), read our guide on how to create a lean business plan .

Benefits of writing a solid business plan

It’s tempting to dive right into execution when you’re excited about a new business or side project, but taking the time to write a thorough business plan and get your thoughts on paper allows you to do a number of beneficial things:

• Test the viability of your business idea. Whether you’ve got one business idea or many, business plans can make an idea more tangible, helping you see if it’s truly viable and ensure you’ve found a target market. 
• Plan for your next phase. Whether your goal is to start a new business or scale an existing business to the next level, a business plan can help you understand what needs to happen and identify gaps to address.
• Clarify marketing strategy, goals, and tactics. Writing a business plan can show you the actionable next steps to take on a big, abstract idea. It can also help you narrow your strategy and identify clear-cut tactics that will support it.
• Scope the necessary work. Without a concrete plan, cost overruns and delays are all but certain. A business plan can help you see the full scope of work to be done and adjust your investment of time and money accordingly.
• Hire and build partnerships. When you need buy-in from potential employees and business partners, especially in the early stages of your business, a clearly written business plan is one of the best tools at your disposal. A business plan provides a refined look at your goals for the business, letting partners judge for themselves whether or not they agree with your vision.
• Secure funds. Seeking financing for your business—whether from venture capital, financial institutions, or Shopify Capital —is one of the most common reasons to create a business plan.

Why you should you use a template for a business plan

A business plan can be as informal or formal as your situation calls for, but even if you’re a fan of the back-of-the-napkin approach to planning, there are some key benefits to starting your plan from an existing outline or simple business plan template.

No blank-page paralysis

A blank page can be intimidating to even the most seasoned writers. Using an established business planning process and template can help you get past the inertia of starting your business plan, and it allows you to skip the work of building an outline from scratch. You can always adjust a template to suit your needs.

Guidance on what to include in each section

If you’ve never sat through a business class, you might never have created a SWOT analysis or financial projections. Templates that offer guidance—in plain language—about how to fill in each section can help you navigate sometimes-daunting business jargon and create a complete and effective plan.

Knowing you’ve considered every section

In some cases, you may not need to complete every section of a startup business plan template, but its initial structure shows you you’re choosing to omit a section as opposed to forgetting to include it in the first place.

Tips for creating a successful business plan

There are some high-level strategic guidelines beyond the advice included in this free business plan template that can help you write an effective, complete plan while minimizing busywork.

Understand the audience for your plan

If you’re writing a business plan for yourself in order to get clarity on your ideas and your industry as a whole, you may not need to include the same level of detail or polish you would with a business plan you want to send to potential investors. Knowing who will read your plan will help you decide how much time to spend on it.

Know your goals

Understanding the goals of your plan can help you set the right scope. If your goal is to use the plan as a roadmap for growth, you may invest more time in it than if your goal is to understand the competitive landscape of a new industry.

Take it step by step

Writing a 10- to 15-page document can feel daunting, so try to tackle one section at a time. Select a couple of sections you feel most confident writing and start there—you can start on the next few sections once those are complete. Jot down bullet-point notes in each section before you start writing to organize your thoughts and streamline the writing process.

Maximize your business planning efforts

Planning is key to the financial success of any type of business , whether you’re a startup, non-profit, or corporation.

To make sure your efforts are focused on the highest-value parts of your own business planning, like clarifying your goals, setting a strategy, and understanding the target market and competitive landscape, lean on a business plan outline to handle the structure and format for you. Even if you eventually omit sections, you’ll save yourself time and energy by starting with a framework already in place.

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Business plan template FAQ

What is the purpose of a business plan.

The purpose of your business plan is to describe a new business opportunity or an existing one. It clarifies the business strategy, marketing plan, financial forecasts, potential providers, and more information about the company.

How do I write a simple business plan?

• Choose a business plan format, such as a traditional or a one-page business plan. 
• Find a business plan template.
• Read through a business plan sample.
• Fill in the sections of your business plan.

What is the best business plan template?

If you need help writing a business plan, Shopify’s template is one of the most beginner-friendly options you’ll find. It’s comprehensive, well-written, and helps you fill out every section.

What are the 5 essential parts of a business plan?

The five essential parts of a traditional business plan include:

• Executive summary: This is a brief overview of the business plan, summarizing the key points and highlighting the main points of the plan.
• Business description: This section outlines the business concept and how it will be executed.
• Market analysis: This section provides an in-depth look at the target market and how the business will compete in the marketplace.
• Financial plan: This section details the financial projections for the business, including sales forecasts, capital requirements, and a break-even analysis.
• Management and organization: This section describes the management team and the organizational structure of the business.

Are there any free business plan templates?

There are several free templates for business plans for small business owners available online, including Shopify’s own version. Download a copy for your business.

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A generative AI reset: Rewiring to turn potential into value in 2024

It’s time for a generative AI (gen AI) reset. The initial enthusiasm and flurry of activity in 2023 is giving way to second thoughts and recalibrations as companies realize that capturing gen AI’s enormous potential value is harder than expected .

With 2024 shaping up to be the year for gen AI to prove its value, companies should keep in mind the hard lessons learned with digital and AI transformations: competitive advantage comes from building organizational and technological capabilities to broadly innovate, deploy, and improve solutions at scale—in effect, rewiring the business  for distributed digital and AI innovation.

About QuantumBlack, AI by McKinsey

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Companies looking to score early wins with gen AI should move quickly. But those hoping that gen AI offers a shortcut past the tough—and necessary—organizational surgery are likely to meet with disappointing results. Launching pilots is (relatively) easy; getting pilots to scale and create meaningful value is hard because they require a broad set of changes to the way work actually gets done.

Let’s briefly look at what this has meant for one Pacific region telecommunications company. The company hired a chief data and AI officer with a mandate to “enable the organization to create value with data and AI.” The chief data and AI officer worked with the business to develop the strategic vision and implement the road map for the use cases. After a scan of domains (that is, customer journeys or functions) and use case opportunities across the enterprise, leadership prioritized the home-servicing/maintenance domain to pilot and then scale as part of a larger sequencing of initiatives. They targeted, in particular, the development of a gen AI tool to help dispatchers and service operators better predict the types of calls and parts needed when servicing homes.

Leadership put in place cross-functional product teams with shared objectives and incentives to build the gen AI tool. As part of an effort to upskill the entire enterprise to better work with data and gen AI tools, they also set up a data and AI academy, which the dispatchers and service operators enrolled in as part of their training. To provide the technology and data underpinnings for gen AI, the chief data and AI officer also selected a large language model (LLM) and cloud provider that could meet the needs of the domain as well as serve other parts of the enterprise. The chief data and AI officer also oversaw the implementation of a data architecture so that the clean and reliable data (including service histories and inventory databases) needed to build the gen AI tool could be delivered quickly and responsibly.

Creating value beyond the hype

Let’s deliver on the promise of technology from strategy to scale.

Our book Rewired: The McKinsey Guide to Outcompeting in the Age of Digital and AI (Wiley, June 2023) provides a detailed manual on the six capabilities needed to deliver the kind of broad change that harnesses digital and AI technology. In this article, we will explore how to extend each of those capabilities to implement a successful gen AI program at scale. While recognizing that these are still early days and that there is much more to learn, our experience has shown that breaking open the gen AI opportunity requires companies to rewire how they work in the following ways.

Figure out where gen AI copilots can give you a real competitive advantage

The broad excitement around gen AI and its relative ease of use has led to a burst of experimentation across organizations. Most of these initiatives, however, won’t generate a competitive advantage. One bank, for example, bought tens of thousands of GitHub Copilot licenses, but since it didn’t have a clear sense of how to work with the technology, progress was slow. Another unfocused effort we often see is when companies move to incorporate gen AI into their customer service capabilities. Customer service is a commodity capability, not part of the core business, for most companies. While gen AI might help with productivity in such cases, it won’t create a competitive advantage.

To create competitive advantage, companies should first understand the difference between being a “taker” (a user of available tools, often via APIs and subscription services), a “shaper” (an integrator of available models with proprietary data), and a “maker” (a builder of LLMs). For now, the maker approach is too expensive for most companies, so the sweet spot for businesses is implementing a taker model for productivity improvements while building shaper applications for competitive advantage.

Much of gen AI’s near-term value is closely tied to its ability to help people do their current jobs better. In this way, gen AI tools act as copilots that work side by side with an employee, creating an initial block of code that a developer can adapt, for example, or drafting a requisition order for a new part that a maintenance worker in the field can review and submit (see sidebar “Copilot examples across three generative AI archetypes”). This means companies should be focusing on where copilot technology can have the biggest impact on their priority programs.

Copilot examples across three generative AI archetypes

• “Taker” copilots help real estate customers sift through property options and find the most promising one, write code for a developer, and summarize investor transcripts.
• “Shaper” copilots provide recommendations to sales reps for upselling customers by connecting generative AI tools to customer relationship management systems, financial systems, and customer behavior histories; create virtual assistants to personalize treatments for patients; and recommend solutions for maintenance workers based on historical data.
• “Maker” copilots are foundation models that lab scientists at pharmaceutical companies can use to find and test new and better drugs more quickly.

Some industrial companies, for example, have identified maintenance as a critical domain for their business. Reviewing maintenance reports and spending time with workers on the front lines can help determine where a gen AI copilot could make a big difference, such as in identifying issues with equipment failures quickly and early on. A gen AI copilot can also help identify root causes of truck breakdowns and recommend resolutions much more quickly than usual, as well as act as an ongoing source for best practices or standard operating procedures.

The challenge with copilots is figuring out how to generate revenue from increased productivity. In the case of customer service centers, for example, companies can stop recruiting new agents and use attrition to potentially achieve real financial gains. Defining the plans for how to generate revenue from the increased productivity up front, therefore, is crucial to capturing the value.

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Upskill the talent you have but be clear about the gen-AI-specific skills you need

By now, most companies have a decent understanding of the technical gen AI skills they need, such as model fine-tuning, vector database administration, prompt engineering, and context engineering. In many cases, these are skills that you can train your existing workforce to develop. Those with existing AI and machine learning (ML) capabilities have a strong head start. Data engineers, for example, can learn multimodal processing and vector database management, MLOps (ML operations) engineers can extend their skills to LLMOps (LLM operations), and data scientists can develop prompt engineering, bias detection, and fine-tuning skills.

A sample of new generative AI skills needed

The following are examples of new skills needed for the successful deployment of generative AI tools:

• data scientist:
• prompt engineering
• in-context learning
• bias detection
• pattern identification
• reinforcement learning from human feedback
• hyperparameter/large language model fine-tuning; transfer learning
• data engineer:
• data wrangling and data warehousing
• data pipeline construction
• multimodal processing
• vector database management

The learning process can take two to three months to get to a decent level of competence because of the complexities in learning what various LLMs can and can’t do and how best to use them. The coders need to gain experience building software, testing, and validating answers, for example. It took one financial-services company three months to train its best data scientists to a high level of competence. While courses and documentation are available—many LLM providers have boot camps for developers—we have found that the most effective way to build capabilities at scale is through apprenticeship, training people to then train others, and building communities of practitioners. Rotating experts through teams to train others, scheduling regular sessions for people to share learnings, and hosting biweekly documentation review sessions are practices that have proven successful in building communities of practitioners (see sidebar “A sample of new generative AI skills needed”).

It’s important to bear in mind that successful gen AI skills are about more than coding proficiency. Our experience in developing our own gen AI platform, Lilli , showed us that the best gen AI technical talent has design skills to uncover where to focus solutions, contextual understanding to ensure the most relevant and high-quality answers are generated, collaboration skills to work well with knowledge experts (to test and validate answers and develop an appropriate curation approach), strong forensic skills to figure out causes of breakdowns (is the issue the data, the interpretation of the user’s intent, the quality of metadata on embeddings, or something else?), and anticipation skills to conceive of and plan for possible outcomes and to put the right kind of tracking into their code. A pure coder who doesn’t intrinsically have these skills may not be as useful a team member.

While current upskilling is largely based on a “learn on the job” approach, we see a rapid market emerging for people who have learned these skills over the past year. That skill growth is moving quickly. GitHub reported that developers were working on gen AI projects “in big numbers,” and that 65,000 public gen AI projects were created on its platform in 2023—a jump of almost 250 percent over the previous year. If your company is just starting its gen AI journey, you could consider hiring two or three senior engineers who have built a gen AI shaper product for their companies. This could greatly accelerate your efforts.

Form a centralized team to establish standards that enable responsible scaling

To ensure that all parts of the business can scale gen AI capabilities, centralizing competencies is a natural first move. The critical focus for this central team will be to develop and put in place protocols and standards to support scale, ensuring that teams can access models while also minimizing risk and containing costs. The team’s work could include, for example, procuring models and prescribing ways to access them, developing standards for data readiness, setting up approved prompt libraries, and allocating resources.

While developing Lilli, our team had its mind on scale when it created an open plug-in architecture and setting standards for how APIs should function and be built.  They developed standardized tooling and infrastructure where teams could securely experiment and access a GPT LLM , a gateway with preapproved APIs that teams could access, and a self-serve developer portal. Our goal is that this approach, over time, can help shift “Lilli as a product” (that a handful of teams use to build specific solutions) to “Lilli as a platform” (that teams across the enterprise can access to build other products).

For teams developing gen AI solutions, squad composition will be similar to AI teams but with data engineers and data scientists with gen AI experience and more contributors from risk management, compliance, and legal functions. The general idea of staffing squads with resources that are federated from the different expertise areas will not change, but the skill composition of a gen-AI-intensive squad will.

Set up the technology architecture to scale

Building a gen AI model is often relatively straightforward, but making it fully operational at scale is a different matter entirely. We’ve seen engineers build a basic chatbot in a week, but releasing a stable, accurate, and compliant version that scales can take four months. That’s why, our experience shows, the actual model costs may be less than 10 to 15 percent of the total costs of the solution.

Building for scale doesn’t mean building a new technology architecture. But it does mean focusing on a few core decisions that simplify and speed up processes without breaking the bank. Three such decisions stand out:

• Focus on reusing your technology. Reusing code can increase the development speed of gen AI use cases by 30 to 50 percent. One good approach is simply creating a source for approved tools, code, and components. A financial-services company, for example, created a library of production-grade tools, which had been approved by both the security and legal teams, and made them available in a library for teams to use. More important is taking the time to identify and build those capabilities that are common across the most priority use cases. The same financial-services company, for example, identified three components that could be reused for more than 100 identified use cases. By building those first, they were able to generate a significant portion of the code base for all the identified use cases—essentially giving every application a big head start.
• Focus the architecture on enabling efficient connections between gen AI models and internal systems. For gen AI models to work effectively in the shaper archetype, they need access to a business’s data and applications. Advances in integration and orchestration frameworks have significantly reduced the effort required to make those connections. But laying out what those integrations are and how to enable them is critical to ensure these models work efficiently and to avoid the complexity that creates technical debt  (the “tax” a company pays in terms of time and resources needed to redress existing technology issues). Chief information officers and chief technology officers can define reference architectures and integration standards for their organizations. Key elements should include a model hub, which contains trained and approved models that can be provisioned on demand; standard APIs that act as bridges connecting gen AI models to applications or data; and context management and caching, which speed up processing by providing models with relevant information from enterprise data sources.
• Build up your testing and quality assurance capabilities. Our own experience building Lilli taught us to prioritize testing over development. Our team invested in not only developing testing protocols for each stage of development but also aligning the entire team so that, for example, it was clear who specifically needed to sign off on each stage of the process. This slowed down initial development but sped up the overall delivery pace and quality by cutting back on errors and the time needed to fix mistakes.

Ensure data quality and focus on unstructured data to fuel your models

The ability of a business to generate and scale value from gen AI models will depend on how well it takes advantage of its own data. As with technology, targeted upgrades to existing data architecture  are needed to maximize the future strategic benefits of gen AI:

• Be targeted in ramping up your data quality and data augmentation efforts. While data quality has always been an important issue, the scale and scope of data that gen AI models can use—especially unstructured data—has made this issue much more consequential. For this reason, it’s critical to get the data foundations right, from clarifying decision rights to defining clear data processes to establishing taxonomies so models can access the data they need. The companies that do this well tie their data quality and augmentation efforts to the specific AI/gen AI application and use case—you don’t need this data foundation to extend to every corner of the enterprise. This could mean, for example, developing a new data repository for all equipment specifications and reported issues to better support maintenance copilot applications.
• Understand what value is locked into your unstructured data. Most organizations have traditionally focused their data efforts on structured data (values that can be organized in tables, such as prices and features). But the real value from LLMs comes from their ability to work with unstructured data (for example, PowerPoint slides, videos, and text). Companies can map out which unstructured data sources are most valuable and establish metadata tagging standards so models can process the data and teams can find what they need (tagging is particularly important to help companies remove data from models as well, if necessary). Be creative in thinking about data opportunities. Some companies, for example, are interviewing senior employees as they retire and feeding that captured institutional knowledge into an LLM to help improve their copilot performance.
• Optimize to lower costs at scale. There is often as much as a tenfold difference between what companies pay for data and what they could be paying if they optimized their data infrastructure and underlying costs. This issue often stems from companies scaling their proofs of concept without optimizing their data approach. Two costs generally stand out. One is storage costs arising from companies uploading terabytes of data into the cloud and wanting that data available 24/7. In practice, companies rarely need more than 10 percent of their data to have that level of availability, and accessing the rest over a 24- or 48-hour period is a much cheaper option. The other costs relate to computation with models that require on-call access to thousands of processors to run. This is especially the case when companies are building their own models (the maker archetype) but also when they are using pretrained models and running them with their own data and use cases (the shaper archetype). Companies could take a close look at how they can optimize computation costs on cloud platforms—for instance, putting some models in a queue to run when processors aren’t being used (such as when Americans go to bed and consumption of computing services like Netflix decreases) is a much cheaper option.

Build trust and reusability to drive adoption and scale

Because many people have concerns about gen AI, the bar on explaining how these tools work is much higher than for most solutions. People who use the tools want to know how they work, not just what they do. So it’s important to invest extra time and money to build trust by ensuring model accuracy and making it easy to check answers.

One insurance company, for example, created a gen AI tool to help manage claims. As part of the tool, it listed all the guardrails that had been put in place, and for each answer provided a link to the sentence or page of the relevant policy documents. The company also used an LLM to generate many variations of the same question to ensure answer consistency. These steps, among others, were critical to helping end users build trust in the tool.

Part of the training for maintenance teams using a gen AI tool should be to help them understand the limitations of models and how best to get the right answers. That includes teaching workers strategies to get to the best answer as fast as possible by starting with broad questions then narrowing them down. This provides the model with more context, and it also helps remove any bias of the people who might think they know the answer already. Having model interfaces that look and feel the same as existing tools also helps users feel less pressured to learn something new each time a new application is introduced.

Getting to scale means that businesses will need to stop building one-off solutions that are hard to use for other similar use cases. One global energy and materials company, for example, has established ease of reuse as a key requirement for all gen AI models, and has found in early iterations that 50 to 60 percent of its components can be reused. This means setting standards for developing gen AI assets (for example, prompts and context) that can be easily reused for other cases.

While many of the risk issues relating to gen AI are evolutions of discussions that were already brewing—for instance, data privacy, security, bias risk, job displacement, and intellectual property protection—gen AI has greatly expanded that risk landscape. Just 21 percent of companies reporting AI adoption say they have established policies governing employees’ use of gen AI technologies.

Similarly, a set of tests for AI/gen AI solutions should be established to demonstrate that data privacy, debiasing, and intellectual property protection are respected. Some organizations, in fact, are proposing to release models accompanied with documentation that details their performance characteristics. Documenting your decisions and rationales can be particularly helpful in conversations with regulators.

In some ways, this article is premature—so much is changing that we’ll likely have a profoundly different understanding of gen AI and its capabilities in a year’s time. But the core truths of finding value and driving change will still apply. How well companies have learned those lessons may largely determine how successful they’ll be in capturing that value.

The authors wish to thank Michael Chui, Juan Couto, Ben Ellencweig, Josh Gartner, Bryce Hall, Holger Harreis, Phil Hudelson, Suzana Iacob, Sid Kamath, Neerav Kingsland, Kitti Lakner, Robert Levin, Matej Macak, Lapo Mori, Alex Peluffo, Aldo Rosales, Erik Roth, Abdul Wahab Shaikh, and Stephen Xu for their contributions to this article.

This article was edited by Barr Seitz, an editorial director in the New York office.

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