Writing Research Reports: Structure, Style & Ethics

TAKEAWAYS:

• A research report follows a standardized structure (title, abstract, introduction, methodology, findings, discussion, conclusion, references) to ensure clarity and reproducibility.
• Ethical compliance (e.g., anonymity, informed consent) is mandatory in business research to protect participants and maintain credibility.
• Referencing styles (APA, MLA, Harvard) must be used consistently to avoid plagiarism and give credit to sources.
• Visual aids (tables, figures, graphs) enhance report readability and support data interpretation.
• Real-world applications (e.g., eSewa’s user feedback reports, NEPSE’s market analysis) rely on well-structured research reports for decision-making.
• Common pitfalls (e.g., vague conclusions, poor citations) can be avoided with careful planning and adherence to academic standards.

1. Definition and Purpose of a Research Report

A research report is a formal document that presents the findings, methodology, and conclusions of a research study. It serves as a communication tool for researchers, stakeholders, and policymakers to understand the research process and its implications.

Key Characteristics:

• Objective: Presents facts without bias.
• Structured: Follows a logical sequence (problem → methodology → findings → discussion).
• Evidence-based: Relies on data, analysis, and literature review.
• Professional: Uses formal language, citations, and visuals.

2. Standard Structure of a Research Report

A well-written research report follows a consistent format. Below is the breakdown with visual guidance:

mindmap
  root((Research Report Structure))
    Abstract
      Summary of key findings (150–250 words)
    Introduction
      Background • Research problem • Objectives • Significance
    Literature Review
      Existing studies (peer-reviewed, books, reports)
    Methodology
      Research design (qual/quant) • Data collection (surveys, interviews) • Analysis (statistical tools)
    Findings
      Results (tables, graphs, quotes) • Key patterns
    Discussion
      Interpretation • Implications • Limitations
    Conclusion
      Summary • Recommendations • Future research
    References
      APA/MLA/Harvard format • In-text citations
    Appendices
      Raw data • Questionnaires • Additional materials

Why This Structure?

• Ensures clarity for readers.
• Follows academic conventions (e.g., TU/PU guidelines).
• Helps auditors or examiners evaluate rigor.

3. Key Sections Explained with Examples

A. Title Page

• Includes:
  • Title of the study
  • Author(s) name
  • Institution
  • Date of submission
• Example:

  "An Analysis of Customer Satisfaction at ABC Bank: A Study of Kathmandu Metropolitan City"

B. Abstract

• A brief summary (150-250 words) of:
  • Research problem
  • Methodology
  • Key findings
  • Conclusion
• Example Abstract:

  "This study examines determinants of customer satisfaction at ABC Bank using a survey of 200 customers in Kathmandu. Data were collected via structured questionnaires and analyzed using SPSS. Findings reveal that service quality and trust significantly impact satisfaction. Recommendations include improving digital banking services."

C. Introduction

• Purpose: Sets the context.
• Includes:
  • Background of the problem
  • Research objectives
  • Significance of the study
• Example (Nepali Context):

  "With the rise of digital banking in Nepal, customer satisfaction has become a critical factor for banks. This study investigates how service quality and trust influence satisfaction at ABC Bank, contributing to evidence-based banking reforms."

D. Literature Review

• Purpose: Demonstrates awareness of prior research.
• Includes:
  • Key theories/models (e.g., SERVQUAL for service quality)
  • Gaps in existing studies
• Example (Global Context):

  "Previous studies (e.g., Parasuraman et al., 1985) highlight that service quality dimensions (tangibles, reliability, responsiveness) predict customer satisfaction. However, few studies have explored this in Nepal’s banking sector."

E. Methodology

• Purpose: Explains how research was conducted.
• Includes:
  • Research design (qualitative/quantitative)
  • Sampling technique (random, stratified)
  • Data collection tools (surveys, interviews)
  • Data analysis methods (SPSS, NVivo)
• Example (Worked Trace):

  "This study used a survey design with a random sample of 200 customers from ABC Bank’s Kathmandu branches. Data were collected via a structured questionnaire (Likert scale) and analyzed using descriptive statistics and regression analysis in SPSS."

F. Findings

• Purpose: Presents raw data in an interpretable format.
• Uses:
  • Tables (for numerical data)
  • Graphs (for trends)
  • Quotes (for qualitative data)
• Example (Table):

  Factor	Mean Score (1-5)	Impact on Satisfaction
  Service Quality	4.2	High
  Trust	3.8	Moderate

G. Discussion

• Purpose: Interprets findings in relation to literature.
• Includes:
  • Explanation of results
  • Comparison with prior studies
  • Limitations (e.g., sample size, bias)
• Example:

  "The high mean score for service quality (4.2) aligns with Parasuraman’s (1985) findings, but the lower trust score (3.8) suggests a gap in customer-bank relationship management. Future research could explore trust-building strategies."

H. Conclusion

• Purpose: Summarizes key takeaways.
• Includes:
  • Brief recap of findings
  • Practical recommendations
  • Future research directions
• Example (Nepali Business Context):

  "ABC Bank should prioritize improving digital service reliability to enhance customer satisfaction. Future studies could investigate the role of AI chatbots in service quality."

I. References

• Purpose: Gives credit to sources.
• Follows a consistent style (APA, MLA, Harvard).
• Example (APA Format):

  Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50.

J. Appendices

• Purpose: Provides supplementary material.
• Includes:
  • Raw survey data
  • Interview transcripts
  • Questionnaires

4. Ethical Considerations in Research Reporting

Ethics ensure integrity and fairness in research. Common ethical issues in business research include:

mindmap
  root((Ethical Issues in Research))
    Plagiarism
      Uncredited use of others' work
    Fabrication/Falsification
      Invented or altered data
    Informed Consent
      Lack of participant disclosure
    Confidentiality
      Breach of anonymized data
    Conflict of Interest
      Personal bias affecting results
    Animal/Human Rights
      Unethical treatment in experiments
    Data Misuse
      Misleading presentation of findings

Real-World Example (Nepali Context):

• eSewa’s User Feedback Study:
  • Ensures anonymity when collecting payment transaction data.
  • Uses informed consent for survey participants.
  • Avoids conflict of interest by disclosing funding sources (e.g., government grants).

How to Avoid Ethical Violations?

• Get approval from ethics committees (e.g., TU’s Research Ethics Board).
• Anonymize data (e.g., replace names with codes).
• Disclose limitations (e.g., "This study was funded by Nabil Bank").

5. Referencing and Documentation

Proper referencing prevents plagiarism and gives credit to sources. Common styles:

Example (APA In-Text Citation):

"Previous research (Parasuraman et al., 1985) suggests that service quality is a key driver of customer satisfaction."

Example (Reference List):

Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50.

6. Common Mistakes to Avoid

1. Vague Conclusions: Avoid statements like "The results were interesting." Instead, say:

   "The data shows a 20% increase in satisfaction when service quality improved by 1 SD."

2. Poor Citations: Mixing APA and Harvard styles in one report.
3. Overloading Text: Using too many words; visuals (tables/graphs) help.
4. Ignoring Ethics: Not getting consent or anonymizing data.
5. Plagiarism: Copying without quotes/paraphrasing.

7. Real-World Applications

A. eSewa’s Customer Satisfaction Report

• Idea Used: Structured research report to analyze payment transaction feedback.
• How?
  • eSewa conducts annual surveys (quantitative + qualitative).
  • Reports use tables for transaction success rates and graphs for user demographics.
  • Ethical: Participants’ data is anonymized.

B. NEPSE’s Market Analysis Report

• Idea Used: Literature review + methodology to track stock market trends.
• How?
  • NEPSE’s reports include:
    • Historical data (tables).
    • Trend analysis (line graphs).
    • Recommendations for investors.
  • Ethical: Uses publicly available data without bias.

C. Daraz’s Supply Chain Efficiency Study

• Idea Used: Case study + findings section to optimize delivery routes.
• How?
  • Daraz uses survey data from sellers and customers.
  • Reports highlight bottlenecks (e.g., last-mile delivery delays).
  • Recommendations: Partner with Pathao for faster deliveries.

8. Worked Example: Writing a Research Report for a Bank Loan Study

Scenario: A student researches "Factors Affecting Loan Default Rates at Nabil Bank."

Steps to Write the Report:

1. Title Page:

   "Determinants of Loan Default Rates: A Study of Nabil Bank’s Kathmandu Branch"

2. Abstract:

   "This study examines loan default rates at Nabil Bank using a survey of 150 borrowers. Findings reveal that income level and collateral significantly reduce default risk. Recommendations include stricter credit scoring."

3. Methodology:
   • Design: Survey + secondary data (bank records).
   • Sample: 150 active loan borrowers (stratified sampling).
   • Analysis: Logistic regression in SPSS.
4. Findings (Table):

   Factor	Odds Ratio (Default Risk)	Significance
   Income Level	0.45	p < 0.01
   Collateral	0.30	p < 0.05

5. Discussion:

   "The low odds ratio for income (0.45) suggests higher income reduces default risk, aligning with prior studies (Altman, 1968). However, collateral’s weaker significance (p < 0.05) may indicate enforcement gaps."

6. Conclusion:

   "Nabil Bank should implement dynamic credit scoring models to prioritize low-income borrowers with collateral."

9. Exam Tips for Unit 13

1. Follow the Syllabus Format:

   • Examiners expect clear sections (abstract → methodology → findings).
   • Avoid skipping any major part (e.g., literature review).

2. Use Visuals:

   • Tables/graphs for data (e.g., survey results).
   • Flowcharts for methodology (e.g., sampling process).

3. Cite Properly:

   • Mixing citation styles deducts marks.
   • Always include page numbers for direct quotes.

4. Address Ethics:

   • If asked about ethical issues, list and explain (e.g., informed consent, confidentiality).

5. Practice with Past Papers:

   • TU/PU often ask to analyze case studies (e.g., ABC Bank’s satisfaction report).
   • Structure your answer like a real report.

6. Time Management:

   • Spend 20% of time on planning (outline sections).
   • 30% on methodology, 30% on findings, 20% on discussion.

10. Summary Mindmap