Wednesday, 8 July 2026

A brief note on the main secondary research methods: for MBA students

 A brief note on the main secondary research methods: for MBA students


Highlight 4 main ideas on each of the following secondary research methods in the context of doing part-time MBA dissertation projects: 1. systematic literature review 2. secondary data analysis 3. document and content analysis 4. narrative reviews 5. scoping reviews And then briefly explain where to locate the research method design and where to locate the research method findings for each of these five secondary research methods: in chapter 2 (Literature Review), chapter 3 (research methodology) or chapter 4 (presentation of research findings) of an MBA dissertation report.

Below are four core ideas for each of the five secondary research methods, framed for a part‑time MBA dissertation, followed by where the method design and method findings typically sit in a standard three‑chapter empirical MBA dissertation (Ch2 = Literature Review, Ch3 = Research Methodology, Ch4 = Presentation of Findings).


1. Systematic Literature Review (SLR)

Four main ideas

  • Explicit, replicable protocol: An SLR follows a pre‑specified search strategy (databases, keywords, time frame, inclusion/exclusion criteria) so another researcher could reproduce it.libguides.hull.ac+1
  • Comprehensive, structured search: It aims to identify all relevant scholarly works on a focused question (e.g., “What drives dividend payout policy in SGX-listed firms?”), not just a convenient sample.libraryguides.waikato.ac+1
  • Critical appraisal and synthesis: Included studies are assessed for quality/relevance and then synthesised (often thematically or via meta‑analysis) to produce an evidence‑based answer to the research question.pdfs.semanticscholar+1
  • Transparency and bias reduction: By documenting every step (search strings, screening flow, reasons for exclusion), an SLR minimises selection bias and strengthens credibility—important for MBA-level rigour.repository.up+1

Where method design and findings appear

  • Method design: In Chapter 3 (Research Methodology) you describe the SLR protocol: databases used, search strings, inclusion/exclusion criteria, screening process, and quality appraisal method.libguides.hull.ac+1
  • Method findings: The synthesised results of the SLR (e.g., key themes, gaps, consolidated models) are presented in Chapter 4 (Presentation of Research Findings) if the SLR is your primary method. If the SLR is only to build your theoretical base, those insights instead sit in Chapter 2 (Literature Review) and Chapter 4 will contain no new empirical findings.library.soton.ac+1

2. Secondary Data Analysis

Four main ideas

  • Use of existing datasets: You analyse data collected by others (e.g., Compustat, World Bank, HKEX/SGX filings, government statistics) rather than generating new data yourself.libguides.tees.ac
  • Cost- and time-efficient for MBA projects: Secondary data analysis is attractive for part‑time students because it avoids fieldwork while still enabling sophisticated quantitative work (regressions, panel data, event studies).libguides.tees.ac
  • Fit between data and research question: You must carefully match available variables to your conceptual model and acknowledge limitations (e.g., missing variables, different time periods, aggregation levels).libguides.tees.ac
  • Ethical and data-quality considerations: Even with public data, you must address data provenance, reliability, consistency, and any licensing/usage conditions; you also assess issues like survivorship bias or reporting changes.libguides.tees.ac

Where method design and findings appear

  • Method design: In Chapter 3, you detail the datasets, variables, sample selection, time period, data cleaning steps, and analytical techniques (e.g., OLS, fixed effects).libguides.tees.ac
  • Method findings: The statistical results (tables, models, hypothesis tests) derived from the secondary data are presented in Chapter 4. Chapter 2 uses prior studies to justify your model but does not present your own results.libguides.tees.ac

3. Document and Content Analysis

Four main ideas

  • Systematic examination of texts and artefacts: You analyse documents such as annual reports, CSR/sustainability reports, strategy documents, regulatory filings, news articles, or internal memos as your primary data.academic.oup
  • Qualitative coding and thematic development: Content is coded (manually or with software) into categories/themes to identify patterns, discourses, or strategic narratives (e.g., how firms frame “digital transformation” in investor communications).academic.oup
  • Contextual and interpretive focus: The method emphasises meaning, framing, and context rather than just frequencies; it is well suited to strategy, marketing, and governance questions in MBA work.academic.oup
  • Rigour through audit trail: You enhance credibility by documenting your sampling of documents, coding scheme, intercoder checks (if applicable), and how themes were derived.academic.oup

Where method design and findings appear

  • Method design: In Chapter 3, you explain which documents were selected, why, over what period, how they were accessed, and your coding/analytical procedure.academic.oup
  • Method findings: The themes, patterns, illustrative excerpts, and interpretive insights from the documents are presented in Chapter 4. Chapter 2 may summarise prior document-based studies but not your own coded results.academic.oup

4. Narrative Reviews

Four main ideas

  • Broad, interpretive overview of a topic: A narrative review summarises and interprets existing literature without a fully formalised search protocol, often to provide context or theoretical framing.scribbr+1
  • Flexible structure and selection: Studies are selected and organised thematically, chronologically, or conceptually, guided by the author’s judgment rather than strict inclusion rules.libraryguides.waikato.ac+1
  • Useful for theory-building and gap-spotting: Narrative reviews help you map key debates, dominant theories, and unresolved issues to motivate your research question and conceptual framework.library.soton.ac+1
  • Risk of bias, mitigated by transparency: Because selection is less systematic, you must be explicit about your scope, databases, and rationale to avoid appearing impressionistic.libguides.hull.ac+1

Where method design and findings appear

  • Method design: In a typical MBA dissertation where the narrative review is part of building the theoretical base, you do not have a separate “method chapter” for it; instead, you briefly describe your approach (databases, keywords, time frame) at the start of Chapter 2 (Literature Review). If your entire dissertation is a narrative review, you may outline the approach in Chapter 3.library.soton.ac+1
  • Method findings: There are usually no separate empirical findings from a narrative review; its “findings” are the synthesised insights, gaps, and conceptual model that appear within Chapter 2. Chapter 4 then presents findings from your primary/secondary empirical work (if any).libguides.hull.ac+1

5. Scoping Reviews

Four main ideas

  • Mapping the breadth of a field: A scoping review aims to chart the extent, range, and nature of research activity on a broad or emerging topic (e.g., “ESG disclosure practices in Asian SMEs”).repository.up+1
  • Systematic but exploratory protocol: Like an SLR, it uses a structured search and transparent criteria, but it is more flexible about study types and quality, focusing on “what exists” rather than “what works”.repository.up+1
  • Identification of concepts, sources, and gaps: It identifies key concepts, theories, data sources, and methodological approaches, and highlights where evidence is thin or fragmented—ideal for setting up further focused research.libraryguides.waikato.ac+1
  • Suitable for nascent or interdisciplinary topics: Scoping reviews are particularly appropriate when the literature is diverse, definitions vary, or the field is still evolving.repository.up+1

Where method design and findings appear

  • Method design: In Chapter 3, you describe the scoping review protocol: research question, databases, search terms, inclusion/exclusion criteria, and how you charted the data (e.g., using a data-extraction matrix).libraryguides.waikato.ac+1
  • Method findings: The maps, tables, and thematic summaries showing the landscape of the literature (e.g., types of studies, geographies, methods used, gaps) are presented in Chapter 4 if the scoping review is your main method. If it is only a preliminary step, the output may sit in Chapter 2 as an advanced literature review.repository.up+1

Quick reference table

Method

Method design described in

Method findings presented in

 

Method

Method design described in

Method findings presented in

Systematic literature review

Chapter 3 (or intro to Ch2 if purely theoretical)

Chapter 4 (if SLR is the main method) or Chapter 2 (if only theoretical grounding)

Secondary data analysis

Chapter 3

Chapter 4

Document & content analysis

Chapter 3

Chapter 4

Narrative review

Start of Chapter 2 (or Chapter 3 if whole dissertation)

Chapter 2 (no separate empirical findings)

Scoping review

Chapter 3

Chapter 4 (if main method) or Chapter 2 (if preliminary mapping)




A brief note on the main secondary research methods: for Housing Studies students

A brief note on the main secondary research methods: for Housing Studies students



Highlight 4 main ideas on each of the following secondary research methods in the context of doing part-time Housing Studies dissertation projects:

1. systematic literature review

2. secondary data analysis

3. document and content analysis

4. narrative reviews

5. scoping reviews



Here are four main ideas for each of the five secondary research methods, tailored to part-time Housing Studies dissertation projects:

1. Systematic Literature Review

  • Transparent, reproducible search protocol: Define clear inclusion/exclusion criteria (e.g., peer-reviewed housing policy studies from 2010–2025, English/Chinese, Hong Kong/Singapore focus) and document databases searched (Scopus, Web of Science, HKU Scholars Hub) so others can replicate your process.guides.library.lincoln.ac
  • Focused research question (PICO/SPIDER style): Frame a precise question such as “What is the impact of inclusionary zoning on affordable housing supply in high-density Asian cities?” to guide screening and synthesis.ncbi.nlm.nih
  • Critical appraisal and quality assessment: Use tools like CASP or MMAT to evaluate study rigour (sampling, validity, bias) before synthesising findings—essential when advising MBA students on evidence strength.arxiv
  • Structured synthesis (narrative or meta-analytic): Present results thematically (e.g., policy instruments, stakeholder responses) or statistically if data permit, highlighting gaps your dissertation could address (e.g., lack of longitudinal Hong Kong data).guides.library.lincoln.ac

2. Secondary Data Analysis

  • Leverage existing large-scale datasets: Use publicly available housing data (e.g., Hong Kong Census, HKSAR Housing Authority statistics, Singapore HDB reports) to test hypotheses without primary data collection costs or ethics delays.ukdataservice.ac
  • Methodological alignment with research questions: Ensure variables match your constructs (e.g., “housing affordability” operationalised as price-to-income ratio) and apply appropriate techniques (regression, time-series) for robust inference.researchprospect
  • Data quality and limitations scrutiny: Assess coverage, missingness, and potential biases (e.g., undercounting of subdivided units) and discuss how these affect validity—key for dissertation defensibility.irep.ntu.ac
  • Ethical and licensing compliance: Confirm data use permissions (e.g., CC-BY, government open data) and cite sources properly; no new ethics approval typically needed, but transparency is required.ukdataservice.ac

3. Document and Content Analysis

  • Purposeful document selection: Identify policy texts, planning reports, media articles, or developer disclosures relevant to your housing topic (e.g., Hong Kong’s “Long-Term Housing Strategy” white papers).irep.ntu.ac
  • Systematic coding framework: Develop categories (e.g., “affordability measures”, “stakeholder voices”) and apply them consistently across documents, using software (NVivo, MAXQDA) or manual matrices for auditability.libguides.tees.ac
  • Contextual and discourse sensitivity: Interpret not just what is said but how (tone, framing, omissions)—crucial for understanding political economy of housing reforms in Asian contexts.irep.ntu.ac
  • Triangulation with other evidence: Cross-check document claims against statistics or interview data (if available) to strengthen credibility and uncover contradictions (e.g., policy rhetoric vs. implementation gaps).researchprospect

4. Narrative Reviews

  • Broad, explanatory overview: Provide a scholarly “story” of housing research evolution (e.g., from welfare-state models to market-led approaches in Asia) to orient readers and justify your study’s niche.sujith-eag
  • Author-guided synthesis: Select seminal and recent works based on relevance and insight (not exhaustive search), allowing critical commentary and theoretical integration (e.g., linking gentrification theories to Hong Kong case studies).guides.library.lincoln.ac
  • Identify themes and debates: Highlight recurring topics (e.g., rent control efficacy) and unresolved tensions (e.g., supply-side vs. demand-side solutions) to position your research contribution.ncbi.nlm.nih
  • Limitations acknowledged: Explicitly note potential selection bias and lack of reproducibility versus systematic reviews—important for MBA-level methodological rigour.guides.library.lincoln.ac

5. Scoping Reviews

  • Map the landscape, not answer a narrow question: Aim to chart the breadth of housing studies literature (e.g., “What types of interventions address informal housing in Southeast Asia?”) to reveal gaps and future research directions.sujith-eag
  • Iterative, inclusive search strategy: Cast a wide net across disciplines (urban planning, public policy, sociology) and document types (grey literature, theses) without strict quality filters initially.arxiv
  • Descriptive synthesis and visual mapping: Use tables, charts, or concept maps to display study characteristics (methods, geographies, populations)—helpful for dissertation proposals needing to justify scope.guides.library.lincoln.ac
  • Stakeholder engagement optional but valuable: Consult practitioners or policymakers (e.g., Hong Kong Housing Society) to refine focus areas, ensuring practical relevance for part-time students balancing work and study.arxiv

These approaches can be mixed (e.g., scoping review → systematic review on a sub-topic) depending on your dissertation timeline and resources. For MBA/Housing Studies students in Hong Kong, emphasising local policy relevance and data accessibility will strengthen both academic and practical impact.

 

Briefly explain where to locate the research method design and where to locate the research method findings for each of these five secondary research methods: in chapter 2 (Literature Review), chapter 3 (research methodology) or chapter 4 (presentation of research findings) of a a Housing studies dissertation report.

In a standard three-chapter empirical dissertation structure (Ch 2 = Literature Review, Ch 3 = Methodology, Ch 4 = Findings), the placement of method design and method findings for each secondary research method is as follows:

1. Systematic Literature Review

·        Method design: Chapter 3 (Research Methodology) – describe search strategy, databases, inclusion/exclusion criteria, quality appraisal tools, and synthesis plan.research-methodology+1

·        Method findings: Chapter 4 (Presentation of Research Findings) – present the PRISMA flow diagram, characteristics table of included studies, and thematic/statistical synthesis results.research-methodology

2. Secondary Data Analysis

·        Method design: Chapter 3 – specify datasets used (e.g., HKSAR Census, HDB stats), variable operationalisation, sampling frame (if any), and analytical techniques (e.g., regression).scribd+1

·        Method findings: Chapter 4 – report descriptive statistics, model outputs, tables/figures, and diagnostic tests derived from the secondary dataset.research-methodology

3. Document and Content Analysis

·        Method design: Chapter 3 – outline document selection rationale, coding framework development, software (e.g., NVivo), and inter-coder reliability procedures.scribd+1

·        Method findings: Chapter 4 – present coded themes, illustrative excerpts, frequency tables, and discourse patterns identified across the analysed documents.research-methodology

4. Narrative Reviews

·        Method design: Chapter 2 (Literature Review) – since narrative reviews are the literature review, the “method” (search approach, selection logic) is briefly stated in the introduction to Chapter 2, not in Chapter 3.scribd+1

·        Method findings: Chapter 2 – the synthesis, thematic discussion, and gap identification are the findings; they do not reappear in Chapter 4.research-methodology

5. Scoping Reviews

·        Method design: Chapter 3 – detail the broad search strategy, iterative screening process, and mapping framework (e.g., Arksey & O’Malley stages).scribbr.co+1

·        Method findings: Chapter 4 – display the evidence map (tables/charts of study types, geographies, populations) and descriptive summary of the literature landscape.