Research Methods in Commerce | Study Unit
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Research Methods In Commerce

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Topics 10

Introduction to Research Methods in Commerce
An overview of the importance of research methods in commerce, different types of research...
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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Unit Outline 40h

Learning Objectives

5 objectives
  • Understand the fundamental principles and importance of research methods in commerce.
  • Apply quantitative, qualitative, and mixed research methods appropriately in commerce research contexts.
  • Develop skills in data collection, sampling techniques, data analysis, and ethical research practices.
  • Create comprehensive research proposals and effectively present research findings to stakeholders.
  • Analyze real-world commerce research case studies to evaluate research methods and outcomes.

Content Outline

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Unit 1172: Research Methods in Commerce

1. Introduction to Research Methods in Commerce

  • Importance of research methods in commerce
  • Types of research: exploratory, descriptive, causal
  • The research process: problem identification, literature review, methodology, data collection, analysis, conclusion
  • Role of research in business decision-making

2. Quantitative Research Methods

  • Principles of quantitative research
  • Survey design: question types, scaling, reliability, and validity
  • Data collection methods: questionnaires, online surveys, structured observations
  • Statistical analysis basics: descriptive statistics, inferential statistics
  • Interpretation and reporting of quantitative results

3. Qualitative Research Methods

  • Fundamentals of qualitative research
  • Data collection techniques:
    • Interviews: structured, semi-structured, unstructured
    • Focus groups: facilitation and dynamics
    • Observation: participant and non-participant
    • Content analysis and thematic analysis
  • Coding and analyzing qualitative data

4. Mixed Methods Research

  • Concept and rationale for mixed methods
  • Integration of quantitative and qualitative data
  • Advantages and challenges of mixed methods
  • Designing mixed methods research in commerce

5. Sampling Techniques in Commerce Research

  • Importance of sampling in research
  • Probability sampling methods:
    • Random sampling
    • Stratified sampling
  • Non-probability sampling methods:
    • Convenience sampling
    • Purposive sampling
  • Implications for validity, reliability, and generalizability

6. Data Collection and Analysis in Commerce Research

  • Overview of data collection techniques: surveys, interviews, observations
  • Selecting appropriate data collection methods
  • Introduction to data analysis software tools:
    • SPSS for quantitative data
    • Excel for data organization and basic analysis
    • NVivo for qualitative data analysis
  • Practical exercises on data entry and analysis

7. Ethical Considerations in Commerce Research

  • Principles of research ethics
  • Confidentiality and anonymity
  • Informed consent procedures
  • Avoiding data manipulation and plagiarism
  • Responsible conduct of research

8. Writing Research Proposals in Commerce

  • Identifying and defining the research problem
  • Conducting a literature review
  • Formulating research objectives and questions
  • Choosing appropriate methodology
  • Planning timeline and budget
  • Structuring a research proposal document

9. Presenting Research Findings in Commerce

  • Writing clear and concise research reports
  • Designing effective presentations
  • Using infographics and data visualizations
  • Tailoring communication to different stakeholders
  • Best practices for oral and written dissemination

10. Case Studies in Commerce Research

  • Analysis of real-world commerce research case studies
  • Application of research methods learned
  • Evaluating research outcomes and impact
  • Discussion on lessons learned and best practices
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