Research Proposal (3,000 words, 60%) Prepare your Research Proposal this general outline: Approved Topic is - Motivation and Staff Retention in Financial Shared Services. Topic, Research Objectives,...

Research Proposal (3,000 words, 60%)

Prepare your Research Proposal this general outline:

Approved Topic is - Motivation and Staff Retention in Financial Shared Services.

• Topic, Research Objectives, Context, and Rationale
  
  
  • Present your topic, research question, objectives for conducting the research, the context for your research question and your rationale for choosing it, using references to the research literature for support.
  
  
  
  

• Methodology and Methods




• Select and analyse your chosen research paradigm and its impact on your research question.


• Describe your chosen methodology and how it relates to your research question.


• Critically analyse the strengths and weakness of choosing this particular methodology, including why you did not select an alternative methodology.


• Discuss the types of data you intend to collect with your chosen methodology.


• Present a data collection and analysis plan and detail the following:








• How do your strategies for data collection and analysis align with your methodology and research question?


• What other data collection and analysis strategies could you have considered to answer your research question? Why did you choose to exclude these strategies?


• Critically analyse the ethical implications of your research methodology and methods and explain how you will address any ethical challenges.




• Be sure to support all of your decisions about methodology and methods with references to relevant literature.

• Practical Considerations and Plan for Completion




• Describe the potential challenges you might encounter in collecting and interpreting your research data and what you might do to minimize these issues.


• Explain how you would present your data and what presentation format would you use to convey the results to your audience.


• Comment on how you would reduce the chances for misinterpretation of your data.