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Models and Tools for Advanced Knowledge Sharing Performance in Decision Support Systems (REF: SF18/BAM/OYEMOMI)


Project Description

Facing global challenges in the knowledge economy, the competitiveness of business organisations has transformed dramatically in recent years. With the increase in the significance of knowledge sharing to organisational growth, a lot of resources have been invested to the management of knowledge via technological applications. In the same line of argument, a wide range of literature has argued for the contribution of employees in the sharing of knowledge. However, very few literatures discussed the impact of organisational factors on the integration of business processes and knowledge sharing. Given the amount of research on the importance of knowledge management to improve business processes and organisational knowledge, it becomes imperative to develop a clear understanding of the impact of organisational factors on knowledge sharing performance.

Various manufacturing and service organisations will potentially benefit from applying the results of this study to their knowledge sharing practices when seeking greater integration of multi business processes with accrued knowledge. The theoretical contribution of this research project will include an integrated framework and model for knowledge transformation processes, knowledge sharing processes and knowledge sharing decision making for performance.

This project will investigate existing models and tools in knowledge management and explore concepts in decision support systems that are relevant to improving how knowledge management systems can improve organisations’ performance. Based on this investigation, a robust conceptual framework will emerge that will identify a contribution to existing knowledge management models and tools. Therefore, leading to the development of a new knowledge management model for improved decision support systems.

The successful applicant will work within the NBS Digital Business research signature area, and will demonstrate an understanding of at least one of the key areas, i.e. Knowledge management, decision support systems and performance management with a strong background in IT or computer science to tackle cloud based, digital and agile concepts; and a willingness to investigate across those areas. An ability to conduct research that analyses the linkages between different actors and institutions operating at multiple scales will also be critical to the successful completion of the project.

Eligibility and How to Apply:
Please note eligibility requirement:
• Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-UK universities [preference for 1st class honours]); or a Masters (preference for Merit or above); or APEL evidence of substantial practitioner achievement.
• Appropriate IELTS score, if required.

For further details of how to apply, entry requirements and the application form, see
https://www.northumbria.ac.uk/research/postgraduate-research-degrees/how-to-apply/

Please note: Applications that do not include a research proposal of approximately 1,000 words (not a copy of the advert), or that do not include the advert reference (e.g. SF18/…) will not be considered.

Northumbria University takes pride in, and values, the quality and diversity of our staff. We welcome applications from all members of the community. The University holds an Athena SWAN Bronze award in recognition of our commitment to improving employment practices for the advancement of gender equality and is a member of the Euraxess network, which delivers information and support to professional researchers.

Funding Notes

Please note this is a self funded project and does not include fees.

References

O Oyemomi, S Liu, I Neaga and A Alkhuraiji, 2016. How knowledge sharing and business process contribute to organizational performance: using the fsQCA approach. Journal of Business Research (Doi:10.1016/j.jbusres.2016.04.116). (ABS 3*)
O Oyemomi, S Liu and I Neaga 2015. The Contribution of Knowledge Sharing to Organizational Performance and Decision Making: A Literature Review. Lecture Notes in Business Information Processing (LNBIP), Springer. ISBN 978-3-319-21536-5
O Oyemomi, S Liu and I Neaga 2015. Organisational Knowledge Framework for Performance Decision Making: ICDSST 2015 Proceedings – The 1st Int. Conference on Decision Support Systems Technologies – A EWG-DSS Conference, Belgrade, Serbia. ISBN: 978-86-7680-313-2.

CONFERENCE PAPERS/POSTERS
International Conference on Decision Support Systems Technology (ICDSST 2016). Paper title: Measuring knowledge sharing performance with DEA efficiency scores: Efficiency model 23-25 May 2016.
Global Innovation and Knowledge Academy (GIKA) Conference 2016. Paper title: How knowledge sharing and business process contribute to organizational performance: using fsQCA approach, Valencia, Spain, 20-23 March.
Plymouth International Postgraduate Symposium 2015. Paper title: Measuring knowledge sharing performance with DEA efficiency scores: Efficiency model.
International Conference on Decision Support Systems Technology (ICDSST 2015). Paper title: Organisational Knowledge Framework for Performance Decision Making Belgrade, 27-31 May 2015.
The 20th Conference of the International Federation of Operational Research Societies (IFORS 2014). Paper title: The Contribution of Knowledge Sharing to Organizational Performance and Decision Making: A Literature Review Barcelona, 13-18 July 2014.

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