Australian National University · FACULTY OF MARKETING

MKTG3001 Chap.3 Secondary Data, Literature Reviews and Research Gaps

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Secondary Data, Literature Reviews and Research Gaps

Good marketing research begins by asking what is already known. This chapter follows the research decision framework: a manager checks existing secondary data first and commissions primary research only when that evidence is insufficient or unreliable.

You will learn to separate internal sources (sales, customer, digital analytics and operational records) from external ones (popular empirical, scholarly, government and commercial), and to weigh the five benefits that make existing data an efficient starting point. The second half turns to the literature review, the stage that comes straight after problematisation.

It covers the systematic versus non-systematic split, the domain, theory and method focuses, the six steps from keywords to a written review, and the dialectical style of synthesis. Finally it shows how a review exposes a research gap (context, population, theoretical, methodological or empirical) and how a sharpened question can be phrased as a testable hypothesis.

In this chapter

What this chapter covers

  • 01

    Research decision framework: secondary before primary data

  • 02

    Internal and external secondary data categories

  • 03

    Benefits of secondary data and screening sources

  • 04

    Literature review purpose and its two classifications

  • 05

    Six steps to conducting a literature review

  • 06

    Five types of research gap and why they matter

  • 07

    From research gap to testable hypothesis

Worked example · free

Choosing internal or external secondary data first for a bike-share decline

Q [6 marks]. A Canberra bike-share operator recorded 12,000 weekday trips per week in March but only 9,600 per week in August. Managers want to know whether the fall comes from their own riders' behaviour or from wider commuting trends across the city. Which type of secondary data should they examine first? Identify the type, justify the choice, and give one suitable source. The marks shown are AskSia practice weighting, not a published university scheme.
Secondary data splits into internal data held inside the firm and external data produced outside it; notice the four internal categories on the left and the fouSecondary data splits into internal data held inside the firm and external data produced outside it; notice the four internal categories on the left and the four external ones on the right.Secondary dataInternal (within firm)External (outside firm)Sales dataCustomer dataDigital analyticsOperational dataPopular empiricalScholarlyGovernmentCommercial
Secondary data splits into internal data held inside the firm and external data produced outside it; notice the four internal categories on the left and the four external ones on the right.
  • 2Quantify the problem: weekday trips fell by 12,000 minus 9,600 = 2,400 per week, and 2,400 divided by 12,000 = 20%. Internal secondary data should be examined first, because the operator already holds it and it is the fastest, cheapest evidence on whether its own riders changed.
  • 2Justify: trip logs, membership renewals and app analytics show which rider groups, stations and time slots account for the 2,400 lost trips. If the decline is spread evenly across every segment, the cause probably lies outside the firm, which internal records alone cannot explain.
  • 2Name a source and the next move: the operator's own trip and membership database is the first source; if it points outward, external government data such as census travel-to-work figures or transport department reports on commuting would test the wider trend.
Start with internal secondary data, since the 20% drop (2,400 of 12,000 weekly trips) can be traced quickly and cheaply through the operator's own trip, membership and app records. Only if that analysis shows a uniform decline across all riders should managers move to external government sources on commuting patterns.
Sia tip — Before choosing a data type, rewrite the managers' question as either 'our customers' or 'the market', because that single word decides internal versus external.
Glossary

Key terms

Secondary data
Information gathered earlier by another party for a different purpose that a researcher reuses to understand a new problem.
Internal secondary data
Records an organisation generates through its own operations, such as sales, customer, digital analytics and operational data.
External secondary data
Information produced outside the business by governments, industry bodies, research firms, universities, media or online databases.
Literature review
A stage of research in which existing knowledge from external sources is evaluated, synthesised and linked to the research problem.
Research gap
An aspect of a research problem that existing literature leaves missing or underexplored.
Dialectical approach
A style of synthesis that sets studies against each other to expose agreements, contradictions and the reasons they differ.
FAQ

Secondary Data, Literature Reviews and Research Gaps FAQ

What is the difference between primary and secondary data in marketing research?

Primary data is collected by the researcher specifically for the current question, through surveys, interviews or observation. Secondary data already exists, having been compiled for another purpose by the firm itself or by outside bodies. Researchers normally exhaust secondary sources first because they are cheaper and faster, and turn to primary collection only when those sources cannot answer the question reliably.

What are the five types of research gap?

A context gap means a setting has not been studied; a population gap means a group of people has been overlooked; a theoretical gap means a useful theory has not been applied; a methodological gap means only one research method has been used; and an empirical gap means findings conflict. One scenario can contain more than one gap at the same time.

Is a systematic literature review better than a narrative review?

Neither is better in general; each suits a different purpose. Systematic reviews use a documented protocol so others can replicate the search and selection, which matters for policy or clinical evidence. Narrative reviews are flexible and quicker, making them suitable for scoping a topic early in a project. The planning burden of a systematic review is the main reason student projects usually choose the narrative route.

How do I synthesise sources instead of summarising them in a literature review?

Organise paragraphs by idea, not by author. Group studies that agree, then set them against studies that disagree, and offer a reason for the difference, such as a different setting, sample or method. Each paragraph should end by saying what the combined evidence means for your research question, which naturally leads the reader toward the gap.

Study strategy

Exam move

Revise this chapter as two linked chains you can write from memory. The first chain is the decision logic: problem, check secondary data, ask whether it is sufficient and reliable, then either use it or collect primary data. Practise attaching one internal and one external source to any scenario you invent.

The second chain is the review workflow: keywords, search, screen for relevance, credibility and currency, synthesise dialectically, name the gap, write. Make a flashcard for each of the five gap types with a one-line example of your own, and drill spotting two gaps in a single paragraph, since scenarios often hide more than one.

For the closed-book essay format, time yourself writing a 200-word justification of a review type, opening with the recommendation and closing with why the alternatives fit less well.

Working through Secondary Data, Literature Reviews and Research Gaps in MKTG3001? Sia is AskSia’s AI Marketing tutor — ask any MKTG3001 Secondary Data, Literature Reviews and Research Gaps question and get a clear, step-by-step explanation grounded in how MKTG3001 is taught and assessed. Read this chapter free, then take your hardest questions to Sia.

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