Introduction to Research Methods in Commerce - Research Methods In Commerce | Lecture Notes - YNetStudyHub
Research Methods In Commerce

Introduction to Research Methods in Commerce

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An overview of the importance of research methods in commerce, different types of research, the research process, and the role of research in decision-making.

Introduction to Research Methods in Commerce
Key concepts, steps, and tools for conducting reliable commercial research


1. Why Research Matters in Commerce

Purpose Example
Decision‑making Choosing a market entry strategy
Problem solving Identifying causes of declining sales
Opportunity identification Spotting unmet consumer needs
Performance evaluation Measuring the impact of a promotional campaign
Risk reduction Assessing creditworthiness of a new supplier

2. Types of Commercial Research

Category Description Typical Use
Exploratory Preliminary, open‑ended investigation to clarify problems or generate hypotheses. New product concept testing, market trend scouting.
Descriptive Systematic description of phenomena (who, what, where, when). Customer profiling, sales volume reporting.
Causal (Explanatory) Tests cause‑and‑effect relationships through manipulation or statistical control. Pricing elasticity studies, impact of advertising on purchase intent.
Qualitative Non‑numerical data (words, images) gathered via interviews, focus groups, observations. Understanding consumer motivations, brand perception.
Quantitative Numerical data collected through surveys, experiments, secondary datasets. Market size estimation, demand forecasting.

3. The Research Process – Step‑by‑Step

  1. Define the Problem & Objectives

    • Write a clear research question (e.g., “What factors drive repeat purchases of brand X?”).
    • Set SMART objectives (Specific, Measurable, Achievable, Relevant, Time‑bound).
  2. Review Existing Knowledge

    • Conduct a literature review (academic journals, industry reports, competitor analysis).
    • Identify gaps that your study will fill.
  3. Develop a Conceptual Framework

    • Map variables and hypothesized relationships (e.g., Price → Perceived Value → Purchase Intent).
    • Choose a theoretical model (e.g., Theory of Planned Behavior, Diffusion of Innovations).
  4. Select Research Design

    • Exploratory: focus groups, depth interviews.
    • Descriptive: cross‑sectional survey, observational study.
    • Causal: laboratory experiment, field A/B test, quasi‑experiment.
  5. Choose Data Collection Methods

    Method Strengths Limitations
    Surveys (online, face‑to‑face, telephone) Large samples, standardized data Response bias, limited depth
    Interviews Rich insights, flexibility Time‑consuming, smaller samples
    Observation Real‑world behavior May miss internal motivations
    Secondary data (financial statements, market databases) Cost‑effective, longitudinal May be outdated or not perfectly aligned with research need
  6. Determine Sampling Strategy

    • Probability sampling (simple random, stratified, cluster) → generalizable results.
    • Non‑probability sampling (convenience, purposive, snowball) → useful for exploratory work.
    • Calculate sample size using formulas (e.g., Cochran’s) or power analysis for experiments.
  7. Design the Instrument

    • Draft questionnaire or interview guide.
    • Use validated scales where possible (e.g., Likert‑type items for attitude).
    • Pilot test → refine wording, order, and length.
  8. Collect Data

    • Follow ethical guidelines (informed consent, confidentiality).
    • Monitor response
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Unit Syllabus 10 Topics
Introduction to Research Methods in Commerce
Quantitative Research Methods
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Qualitative Research Methods
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Mixed Methods Research
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Sampling Techniques in Commerce Research
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Data Collection and Analysis in Commerce Research
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Ethical Considerations in Commerce Research
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Writing Research Proposals in Commerce
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Presenting Research Findings in Commerce
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Case Studies in Commerce Research
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