A note on the literature review approach to use based on different time-constraint: for MBA students

A note on the literature review approach to use based on different time-constraint: for MBA students

 

Regarding my MBA research theme of "the marketing communication tactics to attract Hong Kong local residents to visit the shopping malls in Tsim Sha Tsui in response to the exceedingly hot weather" for my pragmatic and exploratory oriented dissertation project, please advise whether my literature review approach will differ if my literature review is done on a 2-month part-time basis as compared with one done on a 3-month full-time basis.

Your literature review approach (i.e., the philosophical stance, search strategy logic, and synthesis method) does not fundamentally change between a 2‑month part‑time and a 3‑month full‑time schedule for a pragmatic, exploratory MBA dissertation. What does change is the scope, depth, iteration cycles, and risk management you can afford within the time available.tandfonline+4

Core approach stays the same under pragmatism and exploratory design

For a pragmatic, exploratory project like yours (marketing communication tactics to draw Hong Kong locals into Tsim Sha Tsui malls during very hot weather), the literature review should:

• Be problem‑centred and action‑oriented, surfacing what is known about thermal comfort, heatwave consumer behaviour, mall marketing/communication, and channel substitution, then linking these to actionable tactics.tandfonline+1
• Use a targeted, thematic synthesis rather than an exhaustive, systematic review, because your goal is to justify a feasible mixed‑methods design and generate practical insights for mall operators.files.eric.ed+2
• Proceed iteratively: initial scan → refine questions → deeper dive on key themes → integrate with your emerging methodology. This aligns with both pragmatism and exploratory research norms.tandfonline+3

These principles hold regardless of whether you have 2 months part‑time or 3 months full‑time.

What realistically differs: scope, depth, and process design

The main differences are about how much you can cover and how many refinement loops you can run.

1. Breadth and depth of coverage

2‑month part‑time (e.g., ~10–15 hrs/week):

• Likely feasible: ~60–90 high‑quality sources, tightly focused on:
• Heat and retail behaviour (thermal comfort, heatwave effects on footfall).
• Mall marketing/communication tactics (promotions, digital channels, in‑mall experience design).
• Hong Kong / similar dense Asian urban contexts where possible.
• You will need to prioritise recency and relevance (last 10–15 years, with emphasis on recent heatwave cases and post‑pandemic retail shifts) and accept that some peripheral areas (e.g., detailed climate adaptation policy, broader tourism marketing) will be treated lightly or omitted.josephho33.blogspot+2

3‑month full‑time (e.g., ~30–35 hrs/week):

• Potentially feasible: ~100–150+ sources, allowing:
• A broader conceptual base (e.g., environmental psychology, servicescape, experience economy).
• More comparative work (e.g., other hot cities, different mall typologies).
• Deeper engagement with methodological debates (e.g., how exploratory studies in management have handled weather/exogenous shocks).journals.sagepub+2
• You can afford to explore more “adjacent” literatures (e.g., climate adaptation in retail, omnichannel responses to weather shocks) and then prune back in the write‑up.

In practice, this means your 2‑month review will be narrower and more sharply focused on directly actionable themes, while the 3‑month version can be broader and more theoretically layered.

2. Number of iteration cycles and refinement

Exploratory, pragmatic work benefits from multiple passes:

• Pass 1: rapid scan to map themes and gaps.
• Pass 2: deeper reading on 3–5 core themes.
• Pass 3: integrate with your research questions and methods, and refine the conceptual framing.journals.sagepub+2

2‑month part‑time:

• Realistically 2 solid passes:
• Month 1: mapping + initial thematic grouping.
• Month 2: deeper reading on priority themes + integration with methodology.
• Less room for major mid‑course redirection if you discover a more promising angle late in the process. You’ll want a clearer initial focus (e.g., “communication tactics for locals during Very Hot Weather Warnings”) from the start.josephho33.blogspot+1

3‑month full‑time:

• Potentially 3–4 passes:
• Month 1: broad mapping and problem framing.
• Month 2: deep dives and conceptual refinement.
• Month 3: integration, gap articulation, and alignment with methods; time to pivot if a more compelling gap emerges.journals.sagepub+1

This extra iteration can yield a more nuanced conceptual framework and a tighter fit between literature, questions, and methods.

3. Search strategy and source types

The logic of your search (keywords, databases, inclusion criteria) remains similar, but the granularity can differ.

Both schedules should:

• Use structured keyword blocks around:
• “shopping mall” AND “heat” OR “thermal comfort” OR “heatwave”.
• “marketing communication” OR “promotion” OR “digital marketing” AND “mall” AND “Hong Kong” / “Asia”.
• “local residents” AND “retail” AND “weather” / “climate”.
• Combine academic databases (e.g., Business Source Complete, Scopus, Web of Science) with practitioner and media sources (mall press releases, news on heatwaves, social media complaints) to capture real‑world tactics.files.eric.ed+2

2‑month part‑time:

• You may rely more on:
• Recent review articles and conceptual papers to quickly grasp key debates.
• Practitioner reports and credible news for concrete tactics and local context, rather than trying to exhaustively mine every academic angle.josephho33.blogspot+2
• You might adopt a rapid structured literature review (RSLR) style: clearly defined stages (conceptualisation → search → structuring/reporting) with strict timeboxing.files.eric.ed

3‑month full‑time:

• You can afford:
• More systematic searching (e.g., explicit inclusion/exclusion criteria, PRISMA‑style flow if your programme expects it).
• Deeper engagement with older foundational theories (e.g., servicescape, environmental psychology) alongside recent empirical work.journals.sagepub+1

4. Risk management and contingency

With less time, you must manage the risk of over‑scoping more aggressively.

2‑month part‑time:

• Define 3–4 core thematic buckets early (e.g., heat & behaviour; mall communication tactics; local vs tourist segmentation; digital/offline channel mix) and stick to them unless a major gap forces a pivot.josephho33.blogspot+1
• Build in a hard stop for searching (e.g., end of Week 5) so you have 2–3 weeks purely for synthesis and writing.josephho33.blogspot+1

3‑month full‑time:

• You can tolerate more exploratory detours (e.g., examining climate adaptation in other sectors, or deeper theoretical debates) before narrowing down.
• You can also run small pilot scans on alternative angles (e.g., “cooling infrastructure as communication”) and decide whether to incorporate them.journals.sagepub+1

Practical implications for your specific theme

Given your topic (“marketing communication tactics to attract Hong Kong local residents to Tsim Sha Tsui malls in very hot weather”) and your pragmatic, exploratory orientation:

• Conceptual focus (same in both schedules):
  Link heat/discomfort → changes in mall visitation patterns → communication/experience tactics that mitigate discomfort or reframe the mall as a “cool refuge” with added value (F&B, events, loyalty perks).josephho33.blogspot
• 2‑month part‑time version:
• Emphasise recent, context‑specific evidence (Hong Kong heatwaves, local mall campaigns, social media discourse).
• Keep the theoretical layer light but sufficient: e.g., servicescape + thermal comfort + basic consumer behaviour under environmental stress.
• Aim for a tight, actionable framework that directly informs your interview/survey design.josephho33.blogspot+2
• 3‑month full‑time version:
• Add more theoretical depth (e.g., environmental psychology, mood‑behaviour links, experience economy).
• Include comparative cases (other hot Asian cities, different mall types) to strengthen external validity.
• Potentially develop a more elaborate conceptual model (e.g., moderating roles of age, income, transport mode, or prior mall loyalty).journals.sagepub+2

Bottom line

• The core literature review approach (pragmatic, exploratory, thematic, iterative) does not need to change between 2‑month part‑time and 3‑month full‑time.tandfonline+4
• What changes is:
• How many sources and themes you can meaningfully cover.
• How many refinement cycles you can run.
• How much theoretical breadth and comparative depth you can incorporate.

How tightly you must scope and time‑box your search to avoid over‑extension.

 A collection of blog notes on using chatgpt for research purpose.

A note on the main issues facing the further development of the management accounting field

A note on the main issues facing the further development of the management accounting field

 

Discuss 4 main issues in the further development of the management accounting field in response to the main trends of the contemporary business environment, notably on the impacts of AI, the increasing concern of business sustainability, among others.

Management accounting is developing from a primarily internal, historically focused function into a technology-enabled, sustainability-oriented and strategically embedded discipline. Four major issues will determine whether it remains relevant in the contemporary business environment: responsible use of AI, integration of sustainability, management of data and uncertainty, and the transformation of professional skills and organisational influence.

1. Artificial intelligence and automation

AI, machine learning, robotic process automation and generative AI are changing how management accounting information is produced and used. Routine activities—such as transaction processing, variance analysis, reconciliations, forecasting and the preparation of management reports—can increasingly be automated. AI can also identify patterns in large datasets and produce predictive insights more quickly than traditional spreadsheet-based analysis.

The central issue is therefore not simply whether AI will replace management accountants, but how the profession will redefine its value. Management accountants may spend less time preparing information and more time interpreting it, challenging assumptions, advising managers and supporting strategic decisions. Recent professional guidance describes the future accountant as both a strategic adviser and a guardian of data and organisational trust.ifac

However, AI creates several risks:

• Accuracy and explainability: AI-generated forecasts may be difficult to understand or challenge.
• Algorithmic bias: Historical data may reproduce discriminatory or commercially misleading patterns.
• Data privacy and cybersecurity: Financial, employee and customer data may be exposed through poorly governed AI systems.
• Automation bias: Managers may accept machine-generated recommendations without sufficient professional judgement.
• Accountability: Responsibility remains with human decision-makers when an AI-supported decision produces harm.

Consequently, management accounting must develop controls for data quality, model validation, access rights, audit trails, human review and ethical use. Professional education will also need to include data analytics, AI literacy, prompt design, systems thinking and digital governance. A recent CIMA survey reported that 88% of respondents regarded AI as the most transformative technology trend in accounting and finance over the following 12–24 months, while only 8% considered their organisation very well prepared for it.aicpa-cima

The key development issue is thus the balance between automation and professional judgement. AI should augment, rather than eliminate, the critical and ethical role of the management accountant.

2. Sustainability and ESG integration

The second major issue is the incorporation of environmental, social and governance considerations into management accounting. Traditional management accounting tends to prioritise financial costs, revenues and short-term profitability. Contemporary organisations, however, are increasingly assessed through their effects on climate, natural resources, employees, communities, supply chains and corporate governance.

This requires management accountants to expand the meaning of organisational performance. Relevant developments include:

• Environmental management accounting and carbon costing.
• Life-cycle costing and product sustainability analysis.
• Social and environmental performance indicators.
• Climate-related scenario analysis.
• Sustainable budgeting and investment appraisal.
• Supply-chain and circular-economy costing.
• Integration of ESG measures into balanced scorecards and incentive systems.

For example, a conventional investment appraisal might select a production facility because it has the lowest immediate operating cost. A sustainability-oriented analysis would also consider carbon prices, energy consumption, regulatory exposure, water use, waste disposal, employee welfare and the asset’s resilience to climate risks. The management accountant’s role is to make these longer-term consequences visible in planning and decision-making.

The difficulty is that many sustainability effects are not easily measured in monetary terms. Organisations may face:

• Inconsistent definitions and measurement methods.
• Limited access to reliable non-financial data.
• Difficulties attributing emissions across global supply chains.
• Tensions between short-term financial targets and long-term sustainability.
• Risks of greenwashing or selective disclosure.
• A lack of sustainability expertise, particularly in smaller firms.

Sustainability reporting is also becoming more closely connected with corporate decision-making rather than being treated as a separate public-relations exercise. IFAC has emphasised the need for stronger professional capability in sustainability reporting, risk-oriented analysis and assurance. The recent CGMA qualification upgrade likewise includes environmental costing, sustainability reporting and sustainable finance.ifac+1

The future challenge is to develop management accounting systems that connect financial performance with environmental and social value, while maintaining measurement credibility.

3. Data, uncertainty and real-time decision-making

Contemporary businesses operate in conditions of volatility created by geopolitical conflict, supply-chain disruption, inflation, interest-rate changes, technological disruption and changing consumer behaviour. This environment weakens the usefulness of static annual budgets and purely historical cost information.

Management accounting therefore needs to become more dynamic and forward-looking. Important developments include:

• Rolling forecasts rather than fixed annual budgets.
• Scenario planning and sensitivity analysis.
• Predictive and prescriptive analytics.
• Real-time dashboards.
• Integrated financial and operational data.
• Continuous performance monitoring.
• Risk-based resource allocation.
• Digital twins and simulation in complex operations.

The issue is not merely producing more data. Organisations may suffer from data overload, inconsistent definitions, incompatible systems and a lack of understanding about which measures actually support decisions. A sophisticated dashboard can still create poor decisions if its indicators are badly designed or encourage managers to optimise one department at the expense of the whole organisation.

Management accountants must therefore address the quality and governance of information. They need to determine:

1.    Which data are relevant to the decision.

2.    Whether the data are reliable, timely and comparable.

3.    How financial and non-financial indicators should be combined.

4.    How uncertainty should be represented rather than hidden.

5.    Whether performance measures create desirable behaviour.

This also revives an important conceptual issue in management accounting: the relationship between measurement and managerial behaviour. Targets, budgets and incentive measures do not merely describe performance; they influence what employees prioritise. Poorly designed measures may encourage budget manipulation, short-termism, excessive cost cutting or the neglect of sustainability.

The field must therefore move from simple information provision towards decision architecture—designing information systems that help managers make balanced, resilient and ethically defensible choices.

4. Skills, professional identity and strategic relevance

The fourth issue concerns the changing identity of the management accountant. The traditional image of the accountant as a cost controller, budget administrator or reporting specialist is becoming inadequate. Management accountants increasingly need to act as finance business partners who communicate with operations, marketing, human resources, technology and senior leadership.

This requires a broader competency profile:

• Financial and management accounting expertise.
• Data analytics and visualisation.
• Understanding of AI, ERP, cloud and business-intelligence systems.
• Sustainability and ESG knowledge.
• Strategic planning and commercial awareness.
• Risk management and scenario analysis.
• Communication, negotiation and influencing.
• Critical thinking and professional scepticism.
• Ethical judgement and change-management capability.

The challenge is especially significant because technology skills alone are insufficient. Management accountants must translate complex analysis into practical recommendations and explain uncertainty to non-financial managers. They must also challenge senior executives when proposed decisions create unacceptable ethical, social or long-term risks.

Professional bodies are responding by expanding training in AI, sustainability, leadership and business partnering. AICPA and CIMA, for example, identify ethical AI, sustainability reporting and influential leadership as future-focused areas of professional development. Nevertheless, research on digitalisation and sustainability identifies persistent barriers, including limited digital skills, weak organisational integration and the continuation of traditional practices.aicpa-cima+1

There is also a risk of professional displacement. If management accountants remain focused on routine reporting, their work may be absorbed by automated systems or data specialists. If they develop strategic, technological and ethical capabilities, they can occupy a more influential role in value creation, governance and sustainable transformation.

Implications for the field

These four issues are interconnected. AI can improve sustainability analysis, but only where sustainability data are available and reliable. Real-time data can support better strategic decisions, but only when management accountants possess the skills to interpret uncertainty. New technologies can automate routine work, but this increases—not reduces—the importance of ethics, accountability and professional judgement.

Overall, the further development of management accounting should involve:

• Redesigning curricula around AI, analytics, sustainability and strategic business partnering.
• Developing ethical and governance frameworks for AI-supported accounting.
• Integrating ESG measures into planning, costing, budgeting and performance evaluation.
• Replacing rigid, purely annual control systems with adaptive forecasting and scenario analysis.
• Improving the interoperability and governance of financial and non-financial data.
• Strengthening management accountants’ communication, influence and critical-thinking skills.
• Conducting more empirical research on how these changes affect organisations, employees and decision quality.

Management accounting will remain relevant not by protecting traditional techniques, but by combining its established strengths in measurement, control and accountability with digital capability, sustainability thinking and strategic judgement.

 

 A collection of blog notes on using chatgpt for research purpose.