MBA synopsis form information elements - 2026 version 1

[This blog note comprises 3 topics: (1) key synopsis form information elements, (2) key research methods terms, and (3) a briefing on academic, practical and originality values]

MBA synopsis form information elements - 2026 version 1

1. Project title

2. Project background

2.1. A research theme statement

2.2. Academic context: 2 main research issues

2.3. Public and business context: 2 public media-related issues

2.4 The researcher's positionality

3. The research methodology

3.1 Research philosophy and research approach to use.

3.2 2 primary research methods to use

3.3. 1 secondary research method to use

4. Literature review

4.1 2 academic theories to use

5. A reference list.

** the content should be brief, but in essay form [not point-form].

____________

A brief note on the 10 key terms used:

1. Research issues

These are the core business or management problems, gaps, or questions that your dissertation will tackle, usually emerging from practice (e.g., a firm’s challenge) and from gaps in the academic literature. They justify why the study is needed and frame what exactly needs to be investigated.

2. Public media-reported issues

These are business or management problems that appear in newspapers, online news, trade press, TV, or social media, such as corporate scandals, ESG controversies, or labour disputes. They often signal that an issue is socially or commercially important and can be used to motivate and contextualise your research topic in the introduction.

3. Researcher positionality

This refers to how your background, role, values, and experiences (for example, your job, culture, or prior beliefs) may shape the way you choose your topic, interact with participants, interpret data, and present findings. In an MBA dissertation, it is usually discussed to be transparent about potential bias and to show reflexivity, especially in qualitative or mixed-methods work.

4. Research objectives and research aims

Research aim: A broad, overall statement of what the study ultimately wants to achieve (the “big picture”, e.g. “to explore how digital transformation affects HR practices in Hong Kong SMEs”).

Research objectives: Specific, actionable steps that break down the aim into smaller tasks, often starting with verbs like “to examine”, “to identify”, “to evaluate”, and they guide the design, data collection, and analysis.

 

5. Research questions?

Research questions state exactly what you want to find out about your chosen business or management issue.

They give your project a clear focus, guiding your literature review, research design, data collection, and analysis.

Examples:

·        “How do employees in Hong Kong banks perceive the impact of hybrid work on their engagement?”

·        “What organisational practices support higher engagement in hybrid work settings?”

6. Research methodology

This is the overall strategy and logic of how the research will be conducted, linking the research philosophy and approach to the choice of methods. It explains the “how” and “why” of the design (e.g., qualitative case study using semi‑structured interviews, or quantitative survey with statistical analysis) and shows how the chosen design answers the research questions.

7. Research philosophy

Research philosophy is the set of underlying assumptions about reality (ontology) and knowledge (epistemology) that guide how you see the business world and how you believe knowledge about it should be built. In MBA projects this is often framed in terms like positivism, interpretivism, pragmatism, or critical realism, and it links directly to whether you favour quantitative, qualitative, or mixed methods.

8. Research approach

This describes how you link theory and data in your study. Common labels are:

·        Deductive: Start from existing theory or hypotheses and test them with data (common in surveys and quantitative work).

·        Inductive: Start from data and build concepts or theory from observed patterns (common in qualitative work).

·        Abductive: Move back and forth between data and theory, refining ideas iteratively.

9. Primary research method and secondary research method

·        Primary research method: Techniques for collecting original data directly for your study, such as surveys, interviews, focus groups, observations, or company case studies.

·        Secondary research method: Use and analysis of existing data or documents created by others, such as academic articles, company reports, databases, government statistics, or media content (e.g., for a literature review or document analysis).

10. Academic theories

These are structured sets of concepts and causal explanations developed and tested by scholars to explain patterns in organisational, market, or individual behaviour (e.g., agency theory, resource-based view, transformational leadership theory). In an MBA dissertation, theories provide the lens for framing your research questions, building your conceptual framework, and interpreting your findings.

_____

Also pay attention to the MBA program design spirit:

When formulating an MBA dissertation topic, the student should choose a topic that is clearly in line with the MBA program design spirit. For example, choosing a topic on housing policy or software engineering is not appropriate. Could you clarify a bit what is the MBA program design spirit and suggest 3 advices on how to choose an appropriate MBA dissertation topic.

 

An MBA dissertation topic should reflect the “MBA program design spirit”: applied, management‑oriented, and strategically relevant to real business decisions rather than purely technical, policy, or disciplinary fields like housing policy or software engineering. In practice, this means focusing on organizational or managerial problems (strategy, finance, marketing, leadership, operations, HR, innovation, sustainability, etc.) where management theory and analytical tools can be used to inform choices and improve performance.

What “MBA program design spirit” means

·        Applied, not purely academic or technical: The emphasis is on solving or analysing live business issues, not on abstract policy design or deep technical engineering.

·        Management‑level lens: The topic should look at how leaders, managers, or organizations make decisions, allocate resources, manage people, or respond to market forces.

·        Cross‑functional and strategic: Good MBA topics often sit at the intersection of several functions (e.g., strategy and finance, marketing and digital transformation) and address questions that matter to senior management.

A topic on housing policy may be more appropriate for a public‑policy or urban‑planning degree; a narrowly technical software‑engineering topic suits a computer‑science or engineering program. An MBA‑appropriate version would be, for example, how real estate firms use digital platforms to optimize housing investment decisions or how proptech start‑ups manage innovation and growth—which keeps the focus on management, strategy, or entrepreneurship.

Three practical advices on choosing an MBA topic

1.    Anchor the topic in a real business problem or industry trend

·        Pick something that managers in a sector (e.g., banking, real estate, logistics, tech) actually struggle with: growth, profitability, digital transformation, talent retention, ESG, supply‑chain resilience, etc.

·        Example: instead of “housing policy in Singapore,” frame it as “How private real estate developers in Singapore adapt to government housing policy changes: implications for investment strategy and risk management.”

2.    Ensure the topic is clearly at the management—not technical or policy—level

·        Ask: Who will use the findings? If the answer is “ministers,” “urban planners,” or “software engineers,” the topic is likely too policy‑ or engineering‑focused; if it is “CEOs,” “investment managers,” “marketing directors,” or “HR leaders,” it is more aligned with the MBA spirit.

·        Avoid purely technical questions (e.g., designing an algorithm), but do explore how managers adopt, oversee, or make strategic decisions about technology, finance models, or regulatory changes.

3.    Make it feasible and data‑accessible within the MBA timeframe

·        Choose a topic where you can realistically obtain data (company reports, public financials, industry surveys, interviews, or secondary datasets) and where the scope is narrow enough for a 10,000–20,000 word project.

·        Example: rather than “digital transformation in all Asian banks,” narrow it to “Leadership and change‑management challenges in the digital‑transformation initiatives of three Singaporean banks.”

A related reading: A note on clarifying the academic, practical and originality values in dissertation proposal formulation.