Research questions
1. How to critically analyse the procurement life cycle of a product (e.g. Raw Material, Work in Process etc.) in pharmaceutical industry so that we understand the area(s) of improvement such as ensuring timely delivery of products, availability of finished goods etc?
2. How can the procurement cycle be improved for pharmaceutical companies so that these companies can withstand supply disruptions (e.g. Extreme weather, pandemic etc.) while keeping the procurement related KPIs intact?
1. Dissertation Proposal
Identify a question within the specialization area of the MSc Programme.
Link this question to academic readings; use the NEOMA Library resources.
2. Final Dissertation
Collect and analyse data (primary or secondary).
Provide answers to this question as well alternative answers and evaluating their pertinence.
Reach operational conclusions and recommendations for a company, or the related professional field.
Primary data
Original data collected by the student using a scientific method of data collection: survey, in situ observation, focus groups, semi-directive interview(s), model testing, etc.
Secondary data:
Evidence and data already published by scientific or professional sources, see page 7 for more details.
Points to be noted
1. Originality of the topic
Relevance and originality in relation to the specific area.
2. Appropriation of the literature
Mastery of the relevant literature and quality of its critical presentation
3. Quality of methodology/information collected:
Quality and appropriateness of method for data collection (quantitate or qualitative)
4. Quality of analysis and reasoning:
The ability to address the issue at hand
5. Ability to synthesize:
The degree to which the analysis allows for an in-depth understanding of the recommendations
6. Pertinence of recommendations:
Recommendations clearly result from the analysis presented
7. Quality of layout:
Professional level of report writing
8. Ethics:
Application of citation and referencing standards
9. Quality of thought and knowledge of specialization area:
Addressing the objectives set out by the dissertation, demonstrating knowledge of the specific area.
10. Data collection
Aims to find the evidence that will support answers to the research question driving the Dissertation.
11. Data analysis and synthesis
Depending on the method of data collection, original data can be quantitative (e.g. percentages, frequencies, etc.) or qualitative (e.g. text from semi-directive interviews or focus groups, etc.). Data analysis therefore may include statistical testing when the data are quantitative.
Introduction
Presenting the inspiration and importance of a real-world, professional challenge.
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