RCH201 Business Research Methods

Business Research MethodsUnit 1010 min read

Research Report Writing: Structure, Style & Presentation

Unit 10 of Business Research Methods covers the art and science of writing a professional research report—from logical structure and APA/MLA formatting to clarity, ethics, and visual aids. Learn how to organize findings, justify methods, and present actionable insights for stakeholders.

TAKEAWAYS:

  • A research report must follow a standard structure (title page, abstract, introduction, methodology, results, discussion, conclusion, references) to ensure clarity and credibility.
  • APA/MLA formatting (citations, references, in-text quotes) prevents plagiarism and strengthens academic rigor.
  • Visual aids (tables, graphs, charts) simplify complex data—80% of readers grasp visuals faster than text.
  • Ethical reporting means avoiding bias, misrepresentation, and conflicts of interest, especially in business research.
  • Executive summaries (1-page overviews) help busy managers (e.g., Daraz’s logistics team) quickly grasp key findings.
  • Real-world reports (e.g., Nabil Bank’s customer satisfaction study) use data-driven storytelling to influence decisions.

1. Why Research Reports Matter

A research report is not just a document—it’s a persuasive tool that:

  • Communicates findings to stakeholders (investors, managers, policymakers).
  • Justifies decisions (e.g., why Pathao expanded in Kathmandu before Pokhara).
  • Ensures reproducibility (so others can verify your work).

2. The Anatomy of a Research Report

Every section serves a purpose. Below is the standard structure with real-world parallels:

graph TD
    A["Title Page"] --> B["Abstract"]
    B --> C["Introduction"]
    C --> D["Literature Review"]
    D --> E["Research Methodology"]
    E --> F["Results"]
    F --> G["Discussion"]
    G --> H["Conclusion & Recommendations"]
    H --> I["References"]
    I --> J["Appendices"]

A. Title Page

  • Must include:
    • Title (clear, concise, e.g., "Consumer Behavior Towards Digital Payments in Nepal: A Case Study of Khalti and eSewa").
    • Author(s), affiliation (e.g., TU, PU), date.
    • Supervisor’s name (if applicable).

Why it matters:

  • A bad title (e.g., "A Study on Stuff") makes your report look unprofessional.
  • Example: NEPSE’s annual reports use titles like "Nepal Stock Exchange: Performance and Challenges (2023)"—specific and data-driven.

B. Abstract (150–300 words)

  • A mini-report summarizing:
    • Problem (e.g., "Why do Nepali SMEs fail to adopt digital banking?").
    • Method (survey, case study, experiment).
    • Key findings (e.g., "60% of respondents cited lack of trust in online transactions").
    • Implications (e.g., "Banks should invest in digital literacy programs").
Abstract Executive Summary
Written after the full report. Written first (for busy executives).
Technical language (e.g., "quantitative analysis via SPSS"). Plain language (e.g., "Our survey of 500 Daraz users found 70% prefer COD over digital payments").
Used in academic papers. Used in business proposals, board meetings.

Real-world example:

  • Nabil Bank’s Annual Report starts with an executive summary for shareholders, followed by a detailed abstract for regulators.

C. Introduction

  • Hook the reader with:
    • A real-world problem (e.g., "Despite Nepal’s digital revolution, 40% of transactions still use cash").
    • Research gap (e.g., "Most studies focus on Kathmandu; Pokhara’s behavior remains unexplored").
    • Research questions (e.g., "What factors influence Khalti adoption in rural Nepal?").
    • Objectives (e.g., "To analyze user preferences and barriers to digital payments").

Worked Example: Daraz’s Order Fulfillment Delay Problem: "Daraz customers in Pokhara frequently complain about delayed deliveries." Research Question: "What are the key bottlenecks in Daraz’s last-mile delivery in Pokhara?" Objective: "Identify inefficiencies in logistics and propose solutions."


D. Literature Review

  • Synthesizes existing research to show:
    • What others have found (e.g., "A 2022 study by Fintech Nepal found trust issues as the top barrier to digital payments").
    • Gaps your research fills (e.g., "No study has compared Khalti vs. eSewa in rural Pokhara").

How to structure it:

mindmap
  root((Literature Review))
    Theories["Theories & Models"]
      Maslow["Maslow’s Hierarchy (Motivation)"]
      SWOT["SWOT Analysis (Business Strategy)"]
    Previous Studies["Empirical Research"]
      Study1["Study A: Digital Payments in Kathmandu (2021)"]
      Study2["Study B: Barriers to Fintech Adoption (2020)"]
    Critical Analysis["Your Contribution"]
      Gap1["Lack of rural Nepal data"]
      Gap2["No comparison between Khalti & eSewa"]

Real-world tie-in:

  • NTC’s Internet Penetration Report reviews past studies on broadband adoption before presenting new data.

E. Research Methodology

  • Transparency is key—readers must trust your methods.
  • Must include:
    • Research design (qualitative, quantitative, mixed).
    • Data collection methods (surveys, interviews, experiments).
    • Sampling technique (random, stratified, convenience).
    • Data analysis tools (SPSS, Excel, NVivo).

Comparison Table: Data Collection Methods

Method When to Use Example in Nepal Limitations
Survey Large-scale data (e.g., customer preferences). "Nepal Rastra Bank’s inflation survey." Low response rate.
Interview Deep insights (e.g., CEO strategies). "Interviewing Daraz’s logistics manager." Time-consuming, biased.
Experiment Cause-effect (e.g., ad effectiveness). "A/B testing WhatsApp vs. SMS for Ncell." Artificial setting.
Case Study Real-world analysis (e.g., a company). "Himalayan Java’s supply chain challenges." Not generalizable.

Worked Example: Ncell’s Customer Satisfaction Study

  • Method: Online survey (5,000 respondents).
  • Sampling: Stratified (urban/rural, age groups).
  • Tool: Google Forms + SPSS for analysis.
  • Why? Ncell needed data-driven reasons to improve service.

F. Results

  • Present data objectively—no interpretation yet.
  • Use visuals (80% of readers prefer graphs over tables).

When to Use What:

flowchart TD
    A["Data Type"] --> B{"Quantitative?"}
    B -->|"Yes"| C["Use: Tables, Bar Charts, Pie Charts"]
    B -->|"No"| D["Use: Thematic Analysis, Word Clouds"]
    C --> E["Example: '60% of Khalti users are under 30'"]
    D --> F["Example: 'Key themes from Nabil Bank interviews: 'Trust,' 'Convenience,' 'Security''"]

Real-world example:

  • eSewa’s Annual Report uses heatmaps to show peak transaction times.

G. Discussion

  • Interpret results in the context of:
    • Theory (e.g., "Our findings align with Maslow’s hierarchy—security is a top concern for digital payments").
    • Practical implications (e.g., "Nepal Rastra Bank should partner with fintech firms to build trust").
    • Limitations (e.g., "Small sample size in rural areas").

Worked Example: Kathmandu Traffic Congestion Study

  • Result: "70% of drivers blame poor road planning."
  • Discussion:
    • "This supports the ‘induced demand’ theory—more roads lead to more traffic if not managed."
    • "Recommendation: Implement smart traffic lights (like in Singapore)."

H. Conclusion & Recommendations

  • Summarize key findings (1 paragraph).

  • Give actionable recommendations (e.g., "Nepal’s fintech firms should invest in digital literacy campaigns").

  • Weak: "The study found some issues." (Vague)

  • Strong: "To reduce Daraz’s delivery delays by 30%, we recommend partnering with local couriers in Pokhara." (Specific, actionable)


I. References & Appendices

  • APA/MLA formatting is non-negotiable in academia.
  • Appendices include:
    • Raw survey questions.
    • Interview transcripts.
    • Full datasets.

Example APA Reference:

Nepal Rastra Bank. (2023). Annual Report on Financial Inclusion. Kathmandu: Author.


## In the Real World

  1. eSewa’s User Behavior Report

    • Idea Used: Data-driven storytelling in the Discussion section.
    • How? eSewa’s annual report uses customer journey maps (visuals) to show where users drop off (e.g., "50% abandon payment at the OTP step").
    • Impact: Helped redesign their app for higher conversion rates.
  2. Nabil Bank’s Customer Satisfaction Survey

    • Idea Used: Mixed-methods research (surveys + interviews).
    • How? Combined quantitative data (70% satisfied with mobile banking) with qualitative insights (interviews revealed "lack of customer support" as a pain point).
    • Impact: Led to 24/7 chatbot implementation.
  3. Daraz’s Logistics Optimization Study

    • Idea Used: Case study + SWOT analysis.
    • How? Analyzed Daraz’s Pokhara warehouse inefficiencies (e.g., "30% delay due to manual sorting") and proposed automated sorting systems.
    • Impact: Reduced delivery time by 25% in 6 months.

## Exam Tip: How to Score Full Marks

  1. Structure is 30% of your grade—follow the standard format religiously.
  2. Visuals = easy marks—always include at least one table/graph per section.
  3. Real-world examples (e.g., "Like NTC’s broadband adoption report") show application, not just theory.
  4. Avoid:
    • Plagiarism (even paraphrasing without citation is risky).
    • Overgeneralizing (e.g., "All Nepalis prefer Khalti"—use data).
    • Ignoring limitations (examiners hate unrealistic claims).
  5. For case studies:
    • Pick a well-known Nepali company (e.g., Himalayan Java, Chaudhary Group).
    • Link findings to their actual strategies (e.g., "Like Daraz’s expansion plan").

Final Checklist Before Submission:


Case Study: How Nabil Bank Used Research Reporting Problem: Declining customer trust in digital banking. Research Approach:

  1. Survey (5,000 users) → Found "40% distrust online transactions."
  2. Interviews (10 branch managers) → Revealed "lack of staff training" as a cause.
  3. SWOT Analysis → Identified "opportunity to partner with fintech firms." Report Structure:
  • Executive Summary: "Trust deficit costs Nabil Bank 15% in digital adoption."
  • Recommendations: "Launch a ‘Digital Banking Ambassador’ program." Outcome: Trust improved by 22% in 1 year.

Key Takeaway for Exams:

"A research report is like a business proposal—it must sell an idea (your findings) to a skeptical audience (examiners, managers)."

Based on the TU BIM syllabus for Business Research Methods (RCH201), unit 10.

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