Instructions
Answer all sections. Your responses should demonstrate analytical understanding of research methodology and its application to business and management contexts. Use relevant examples where appropriate.
Introduction and Conclusion (10 marks)
1. Knowledge Generation in Qualitative Research (15 marks)
Provide examples of business research questions suited to qualitative investigation. Critically evaluate the strengths and constraints of qualitative approaches in producing actionable business insights.
2. Data, Evidence, and Generalisation in Quantitative Research (15 marks)
Discuss the use of numerical data, statistical analysis, and sampling in achieving generalisable findings. Provide examples of business research questions suited to quantitative investigation. Critically assess the limitations of generalisation in quantitative business research.
3. Translating a Business Problem into a Research Study (15 marks)
Identify a realistic business or organizational problem and explain how this problem can be translated into a research aim and objectives. Justify the choice of research methodology and design that would best address the problem within practical constraints.
4. Structuring and Sequencing (10 marks)
Develop a logical sequence of research activities. Your answer should identify key stages, dependencies between tasks, and review points. Explain how effective sequencing supports timely and high-quality research outcomes.
5. Risk, Bias, and Limitations in Business Research (15 marks)
Critically discuss potential risks and sources of bias in your proposed research study. Consider methodological, contextual, and researcher-related risks. Explain how these risks may affect findings and propose strategies to minimise their impact.
6. Ethical Responsibility and Professional Standards in Research (10 marks)
Discuss the concept of ethical responsibility in business and management research. Identify potential ethical risks associated with your proposed study and explain how adherence to professional and academic standards can mitigate these risks.