Research Lab

A research gap is a specific, verifiable absence in the scholarly literature. It is not a vague sense that "more research is needed." Five types of gap are academically defensible:

A one-sentence problem statement is the single most useful writing exercise before starting Chapter One. It forces precision and prevents the vagueness that weakens most early thesis drafts.

Formula: "Despite [positive trend or established knowledge], [specific problem or gap] remains unaddressed among [population] in [context], and the present study will investigate [specific angle]."

Your theoretical framework is not decoration. It is the analytical lens through which your research problem makes sense. Each theory you choose should address a distinct aspect of your problem that the other theories cannot.

• Search your research problem combined with the term "theoretical framework" in Google Scholar to see which frameworks are most commonly applied
• Read the theoretical sections of the most cited papers in your area - they will tell you which frameworks dominate the field
• Ask whether each framework you select covers individual behaviour, social dynamics, or performance outcomes - these are three different analytical levels, and most strong theses cover at least two
• Be prepared to justify each framework: what does it explain that no other framework in your study explains?

Every research question implies a set of variables. Your job is to make those variables explicit, name them precisely, and specify how each will be measured.

Your design choice must follow from your research questions and your epistemological position, not from convenience or familiarity.

• Quantitative: Use when you are testing theoretically derived hypotheses across a defined population and need generalisable findings
• Qualitative: Use when you are exploring meanings, processes, or experiences in specific contexts where depth matters more than breadth
• Mixed: Use when neither alone is sufficient - for example, a survey that identifies patterns followed by interviews that explain them

A systematic search strategy uses structured keyword combinations to retrieve papers comprehensively across multiple databases. Use AI tools to generate keyword categories, then build Boolean formulas from those categories.

• Databases: Scopus, Web of Science, and EBSCO for peer-reviewed content; Google Scholar via Publish or Perish for breadth
• Boolean logic: Use AND to combine categories, OR to group synonyms within a category, and quotation marks to force exact phrase searches
• Run multiple formulas: No single formula captures everything. Run five to eight variations and combine results in Zotero
• Date restrictions: Restrict fast-moving fields like AI to 2020-2025; leave foundational theoretical works unrestricted

After retrieving papers, apply a three-pass filter: title scan, abstract review, full-text read. Import all results into Zotero, deduplicate, and organise into thematic collections before writing.

When writing the review, organise paragraphs by theme rather than by author. A paragraph that says "Smith found X. Jones found Y. Brown found Z." is a list, not a review. A paragraph that says "Studies consistently find that skills gaps moderate the adoption-to-efficiency relationship (Smith, 2023; Jones, 2024), though Brown (2022) challenges this finding by showing that..." is a synthesis.

Chapter One introduces your frameworks briefly - one paragraph per theory, covering who developed it, what its core constructs are, and specifically why it is appropriate for your research problem. The full depth analysis belongs in Chapter Two.

The most important sentence in each framework paragraph explains what this theory provides that the others cannot. For example: UTAUT explains individual adoption decisions, DOI explains how adoption spreads through networks, and AAEEM explains why adoption does or does not produce efficiency and ROI.

The strong paragraph is specific, evidence-based, progresses from global to local, cites real sources with real figures, and ends by signalling the gap.

Each theory gets its own section. A rigorous framework section contains five elements in order:

• Origins: Who developed it, when, and on what empirical basis?
• Core constructs: What are the key variables and how do they relate? Use a summary table where appropriate.
• Empirical applications: How has the theory been applied to studies similar to yours?
• Critical evaluation: What does the theory not explain well in your specific context?
• Justification: Despite those limitations, why is this theory included? What does it explain that no other framework in your study can?

The gap section should appear near the end of Chapter Two. Present gaps in a four-column table: gap number and type, description, evidence that it exists, and how your study addresses it. Then give each gap its own analytical paragraph.

A gap paragraph has three moves: state the gap precisely, cite two or three papers that demonstrate it exists, and explain why this gap matters for scholarship or practice.

Your research philosophy answers three fundamental questions: What is the nature of reality? (Ontology.) What counts as valid knowledge? (Epistemology.) What is the role of values in research? (Axiology.) These are not abstract - they determine every methodological decision that follows.

• Post-positivism: Appropriate for quantitative, hypothesis-testing studies that aim to generalise across a population
• Interpretivism: Appropriate for qualitative studies exploring individual meanings and experiences in specific contexts
• Pragmatism: Appropriate for mixed-methods studies driven by the practical research question rather than a fixed philosophical commitment

Stating "I chose 200 because it seemed reasonable" is not academically defensible. Use one of these recognised methods and cite it:

• Hair et al. (2019) for SEM: Minimum 10 observations per estimated parameter. Count your model's parameters and multiply by 10.
• G*Power (Faul et al., 2009): Specify effect size (f-squared = 0.15 for medium), alpha (0.05), and number of predictors. Download free from gpower.hhu.de.
• Rule of 10 per item: For simple survey studies without SEM, multiply the number of survey items by 10 for a conservative minimum.

In Australia, any research involving human participants requires ethics approval from your institution's Human Research Ethics Committee (HREC) before data collection begins. This applies to anonymous online surveys. Apply early - allow two to four weeks for processing.

Your ethics section in Chapter Three must address five things: informed consent, anonymity versus confidentiality, data storage (minimum five years under the Australian Code), data security (encrypted platform, ISO 27001 certification), and participant withdrawal rights.

The discussion is not a restatement of results. It is an interpretation of what those results mean, why they matter, and how they relate to prior work.

• Start each discussion paragraph with a result, then immediately interpret it: "The finding that X is consistent with / challenges / extends..."
• When results agree with prior literature, explain why the agreement matters and what it confirms
• When results diverge from prior literature, propose an explanation and identify what future research could test
• Connect every finding back to a specific research question or hypothesis