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
PreviewUnit 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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