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Proposed structure:

1. Introduction (400 words)
What is your research area or problem | issue?
What are the key cognate studies in this space? Who are the key researchers?
Why is it important?
What will you cover in this proposal?

2.  Background to the research (250 words)
What are the drivers (stimulus) for the study?
Why is it so important?

3.  Indicative literature Review (2000 words)
What is the theoretical approach taken in this study?
What relevant previous work has been conducted to date? You will need to cite well known and authoritative material, critically reviewing the findings, implications and conclusions from previous research work. This would should be synthesised, analysed and evaluated rather than explained and described.

4.  Problems identified (150 words)
What are the problems, opportunities, issues arising from other people’s research?

5. Rationale (180 words)
Who will benefit and how?
What key performance metrics are you trying to optimise (reduce lead time, improve quality, environmentally benign production, more efficient/effective processes/systems etc)

6.  Scope of the Study (300 words)
What will your study cover?
What will it not cover?

7.  Research methodology (550 words)
What data collection method did you use? (e.g. survey or case study analysis)
Define your research protocol incorporating sampling technique, best practice data collection methods to ensure reliability and validity etc.
What sample methods will you use?
What is the basis for selecting the sample?
Did you clearly define the subjects?
How homogeneous is the population (Industry: Medical Device industry; Size of organisation: SME, MNC; Type of organisation: Innovative organisation; Function or discipline: R+D department; level in hierarchy: product managers etc.)
What volume (exact numbers) do you need to generalise? How many interviews do you need to do before you reach saturation?
Did | will you conduct a pilot test to reduce technical error?
Did you receive approval from company for your instrument and protocol before you commenced data collection?
What is the time frame for data collection?
What did | will you do to tackle non-response bias?
What did | will you do to increase rigour? ( reflective journal for bias; respondent validation to conform reporting of responses; peer debriefing; multiple data sources for triangulation and plurality; audit of the decision trail etc.)
What best practices did | will you use to capture the data and increase rigour? (e.g. self-administered survey or phone or web or email; interview structured? recorded? template used?
How did | will you code the data (open; axial)?
How did | will you analyse the data? What tests are you going to conduct?
What are your limitations (time; cost; access etc.)

8. Significance of the research (200 words)
Why is this so important?
Who will benefit and how?
What are the implications for academia?
What are the implications for industry?
What are your overall contributions?

9. Conclusions (250 words)
What are your take home points?


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