Some literature review priority advices for different research types: for MBA students

Some literature review priority advices for different research types: for MBA students

 

In the context of doing a 4-month part-time MBA dissertation project, please offer 3 main literature review effort priority advices on the following research types: descriptive research, exploratory research, causal research and evaluation research. It would be useful to give brief illustrative examples with reference to the research theme of "the consumer marketing tactics to the Hong Kong local residents in response to the hot weather."

For a four-month part-time MBA dissertation, the literature review should not attempt to cover every aspect of hot weather, consumer behaviour and marketing. Prioritise literature according to the research purpose: first establish what is known, then identify the precise gap, and finally support the variables, propositions and methods you can realistically investigate.

A useful overarching theme could be:

How do Hong Kong businesses adapt consumer marketing tactics to local residents’ responses to hot weather?

Hong Kong’s Very Hot Weather Warning provides a potentially useful contextual indicator for defining “hot-weather” periods, while previous Hong Kong research suggests that heat warnings can influence awareness and behaviour, although behavioural responses are not universal.hko.gov+1

1. Descriptive research

Descriptive research asks what is happening, to whom, how often and under what conditions. Its literature review should primarily build a clear picture of consumer responses and existing marketing practices, rather than attempt to explain cause and effect.

Three priority efforts

1.    Define and classify the key phenomena Review literature that operationalises:

o   Hot weather, heatwaves and perceived heat.

o   Consumer discomfort, thermal comfort and heat-related risk perception.

o   Shopping frequency, store choice, dwell time, spending and online substitution.

o   Marketing tactics such as discounts, cold beverages, air-conditioned spaces, delivery, mobile promotions and altered opening hours.

This prevents broad concepts such as “consumer response” or “summer marketing” from remaining vague.

2.    Map established patterns and segments Look for evidence on differences by:

o   Age and health vulnerability.

o   Income and occupation.

o   Outdoor versus indoor workers.

o   District and accessibility.

o   Product category, such as food, fashion, personal care or leisure.

o   Shopping channel, including malls, convenience stores, e-commerce and food delivery.

A descriptive review can also record which methods previous studies use—surveys, transaction data, interviews, weather data or social-media analysis. Systematic descriptive reviews commonly classify studies by publication year, methods, data sources and reported findings.ncbi.nlm.nih

3.    Prioritise local and comparable evidence Rank sources in this order:

o   Hong Kong consumer and retail studies.

o   Studies from comparable subtropical Asian cities.

o   Wider international research on heat and consumer behaviour.

o   General marketing literature used to explain relevant tactics.

Avoid spending too much time reviewing generic marketing theory that does not help describe the Hong Kong context.

Illustrative example

A descriptive research question might be:

What consumer coping behaviours and marketing tactics are reported among Hong Kong local residents during very hot weather?

The literature review might produce a framework showing that residents:

• Avoid outdoor shopping at midday.
• Prefer air-conditioned malls or nearby retail locations.
• Increase purchases of drinks, chilled food, sun-protection products and cooling products.
• Shift some purchases to delivery or online channels.
• Respond to time-limited mobile coupons or “cooling” promotions.

The study could then use a survey to report the prevalence of these behaviours and compare groups. The review should support the categories and questionnaire items, not try to prove that one tactic causes higher sales.

2. Exploratory research

Exploratory research is appropriate when the mechanisms, meanings or locally specific practices are not yet sufficiently understood. Its literature review should be conceptually broad at first but sharply focused by the end.

Three priority efforts

1.    Identify possible mechanisms and competing explanations Review theories that could explain how hot weather affects consumption, for example:

o   Thermal comfort and environmental psychology.

o   Mood and affective responses.

o   Perceived health risk.

o   Convenience and effort-minimisation.

o   Servicescape and customer experience.

o   Technology acceptance and channel substitution.

o   Perceived value and promotional responsiveness.

Do not adopt all of these as formal theories. Use the review to select one main conceptual lens and perhaps one supporting lens.

2.    Search for qualitative and context-sensitive evidence Give priority to studies using:

o   Semi-structured interviews.

o   Focus groups.

o   Observations.

o   Customer reviews and social-media comments.

o   Retailer or marketing-manager interviews.

o   Case studies of malls, supermarkets, restaurants or delivery platforms.

These sources can reveal tactics that a predetermined questionnaire might miss—for example, “cooling zones,” free water stations, indoor event programming or promotions timed to heat alerts.

3.    Convert the gap into focused exploratory questions The gap should not merely be “few studies exist.” A stronger gap might be:

Existing research discusses heat-related discomfort and seasonal consumption, but gives limited attention to how Hong Kong retailers interpret residents’ coping behaviours and translate them into integrated marketing tactics.

Illustrative example

An exploratory research question could be:

How do Hong Kong local residents describe changes in their shopping decisions during very hot weather, and how do retailers respond through marketing tactics?

Possible interview themes include:

• Whether heat changes the decision to leave home.
• Why a resident chooses a mall rather than a street market.
• Whether free cooling facilities affect perceived service quality.
• How residents interpret heat-related discounts.
• Whether marketing messages about comfort are more persuasive than price promotions.
• How businesses use weather alerts, social media or mobile applications.

For a four-month project, exploratory research is often a practical primary design because a small number of interviews can generate contextual insight. However, the literature review must still demonstrate how the interview topics derive from relevant theory and prior findings.

3. Causal research

Causal research asks whether hot weather or a marketing intervention produces a measurable change in consumer behaviour. It requires the most disciplined literature review because the review must support a defensible model of relationships between variables.

Three priority efforts

1.    Build a small, explicit causal model Focus on literature that supports relationships such as:

Hot weather→thermal discomfort→shopping intention

Marketing tactics could act as moderators or interventions:

Hot weather × cooling tactic→ satisfaction or purchase intention

Possible variables include:

o   Independent variable: temperature, heat-warning exposure or perceived heat.

o   Mediator: discomfort, mood, perceived risk or convenience.

o   Moderator: age, shopping purpose, income or access to air conditioning.

o   Dependent variable: visit intention, dwell time, purchase intention, spending or channel choice.

2.    Prioritise empirical evidence over conceptual commentary Search for experiments, quasi-experiments, longitudinal studies, field studies and statistical models. Record:

o   How heat was measured.

o   How consumer outcomes were measured.

o   Which confounding variables were controlled.

o   Whether the findings were statistically and practically significant.

o   Whether the research establishes correlation or stronger causal evidence.

A cross-sectional survey can identify associations, but it should not be described as proving that hot weather caused a behaviour.

3.    Match causal ambition to the four-month timetable A genuine causal study may require:

o   Multiple time periods.

o   Reliable sales or footfall data.

o   Weather observations.

o   A control group or comparison period.

o   Sufficient sample size.

o   More advanced statistical analysis.

Therefore, unless you already have access to suitable data, restrict the review to a modest causal proposition or use a scenario-based experiment. Do not allow an ambitious causal literature review to force an unmanageable research design.

Illustrative example

A causal question might be:

Does a cooling-related marketing tactic increase local residents’ intention to visit a shopping mall during very hot weather?

A feasible online experiment could randomly show participants one of two advertisements:

• Price-focused message: “Enjoy 20% off this weekend.”
• Heat-responsive message: “Escape the heat—shop, relax and enjoy complimentary refreshments in a cool environment.”

The literature review would justify:

• Why perceived heat may reduce willingness to travel.
• Why servicescape or comfort can influence satisfaction.
• Why message framing may affect intention.
• Why random assignment is needed to compare the two messages.

The dependent variable could be visit intention, while perceived comfort, perceived value and message credibility could be measured as explanatory variables.

4. Evaluation research

Evaluation research asks whether a specific marketing tactic works, for whom, under what conditions and at what cost. Its literature review should be tightly connected to the intervention and its outcome measures.

Three priority efforts

1.    Define the intervention and its theory of change Specify exactly what is being evaluated:

o   A mall’s “cool escape” campaign.

o   Free water or cooling stations.

o   Weather-triggered mobile coupons.

o   Extended evening opening hours.

o   Heat-alert social-media promotions.

o   Delivery discounts during very hot afternoons.

Then explain the expected pathway:

Heat-responsive tactic→ greater comfort/ value→ higher satisfaction → visit or purchase

 

Review outcome and process measures Distinguish between:

o   Process outcomes: reach, advertisement awareness, coupon redemption and use of cooling facilities.

o   Immediate outcomes: perceived comfort, satisfaction, engagement and purchase intention.

o   Behavioural outcomes: footfall, dwell time, spending, repeat visits and channel choice.

o   Business outcomes: sales, conversion rate, cost per acquisition and return on marketing expenditure.

This distinction prevents a campaign from being judged successful merely because consumers noticed it.

2.    Prioritise realistic comparison designs Review evaluation designs that you can actually implement, such as:

o   Before-and-after comparison.

o   Comparison between participating and non-participating stores.

o   Comparison between heat-warning and non-warning days.

o   Customer survey combined with manager interviews.

o   A pilot intervention followed by short-term outcome measurement.

For a four-month dissertation, a small mixed-methods evaluation may be more achievable than a full long-term return-on-investment study.

Illustrative example

An evaluation research question could be:

How effective is a weather-triggered mobile coupon in encouraging Hong Kong local residents to visit a shopping mall during very hot weather?

The review should establish:

• Why mobile promotions may be suitable for time-sensitive weather conditions.
• How promotion attractiveness, convenience and perceived urgency affect redemption.
• Which outcomes are appropriate.
• What alternative explanations must be considered, such as weekends, public holidays, transport disruptions or competing promotions.

A feasible design could compare:

Evidence	Possible measure
Customer survey	Awareness, perceived relevance, comfort and visit intention
Campaign data	Coupon views, clicks and redemptions
Retail data	Footfall or sales during campaign periods
Interviews	Retailer views on implementation and customer response

Recommended allocation for four months

Because this is a part-time project, the literature review should be unevenly distributed according to the selected research design.

Research type	Literature-review priority	Suggested emphasis
Descriptive	Moderate	Definitions, patterns, segments and measurement categories
Exploratory	High	Concepts, mechanisms, local context and qualitative gaps
Causal	Very high but narrow	Variables, hypotheses, causal evidence and confounding
Evaluation	High but intervention-specific	Theory of change, outcomes, indicators and comparison design

If the dissertation combines several types, a pragmatic sequence would be:

1.    Descriptive: establish how residents’ consumption and shopping behaviour changes in hot weather.

2.    Exploratory: investigate how residents and marketers interpret those changes.

3.    Evaluation or limited causal analysis: assess one specific tactic rather than “consumer marketing tactics” in general.

A realistic final scope might therefore be:

An exploratory mixed-methods study of how very hot weather influences Hong Kong residents’ shopping behaviour and how selected retailers adapt their marketing tactics, with a focused evaluation of one weather-responsive promotion.

This scope preserves descriptive, exploratory and evaluative value without requiring the dissertation to prove broad causal effects. It also aligns the literature review with what a four-month, part-time project can credibly complete. A rigorous review should formulate the question, search and screen studies transparently, assess their quality, extract relevant evidence and synthesise the findings into a research framework.

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