Although organisations recognise the strategic importance of managing knowledge, employees often struggle to form healthy knowledge networks finding it difficult to access and use known knowledge. This in turn can limit opportunities to explore unknown knowledge, an important ingredient of problem identification, efficient project execution and learning. This project aims to investigate knowledge sharing and exchange mechanisms within and between business units to explore knowledge dynamics of organisational networks. Mapping of knowledge networks will be performed using Social Network Analysis (SNA) and extensive elaboration on the challenges faced by organisations in implementing such methods is expected to be undertaken. In addition, part of the project will be to map interactions and incorporate concepts that are presently underdeveloped in the literature such as ignorance and/or the illusion of knowledge. A case study can be used to help answer the research questions and test some of the assumptions and validity of the model to be generated.
This study contributes to current theoretical debates in the areas of knowledge management (KM), organisational learning and performance. It has also been designed to help practitioners operationalise KM by making best use of organisational knowledge networks.
- See: https://www.ntu.ac.uk/course/nottingham-business-school/res/this-year/research-degrees-in-business for more information on undertaking a PhD at Nottingham Business School.
- General PhD programme enquiries: NBS PhD Programme Director, Dr. Ishan Jalan (Ishan.firstname.lastname@example.org)
- Topic related enquiry: Dr John Israilidis (email@example.com)
An applicant should normally hold a Master’s degree at distinction or merit level of a UK university or an equivalent qualification. International students will also need to meet the English language requirements - IELTS 6.5 (with minimum sub-scores of 6.0). Applicants who have taken a higher degree at a UK university are normally exempt from the English language requirements.
How to apply
Please visit our how to apply page for a step-by-step guide and make an application.
Application deadline: 15th August for 1st Oct 2022 start date, or 15th Nov for 1st Jan 2023 start date.
Fees and funding
This opportunity is for self-funded PhD students. Applicants are encouraged to apply for external funding and we will support this process if and when required. Find out about fees and funding for PhD projects.
Guidance and support
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