Empirical evidence of an integrative knowledge competence framework for ERP systems implementation in UK industries

Jayawickrama, Uchitha; Liu, Shaofeng; Hudson Smith, Melanie

Abstract

© 2016 Elsevier B.V. Enterprise Resource Planning (ERP) systems can greatly improve business productivity and better serve customers by creating values through integrating business processes and sharing current information. Knowledge Management (KM) is crucial for ERP systems implementation, but is particularly demanding task. This paper discusses ERP systems implementation in UK manufacturing and service sector organisations, focusing on empirical evidence of an innovative KM approach for improving knowledge competence for ERP success. Qualitative research was conducted, using semi-structured interviews with ERP experts. Data analysis used a combination of thematic and comparative analysis. The findings suggest that the integrative knowledge competence framework can provide ERP practitioners with useful guidance on what the key knowledge determinants are and how the relationships between knowledge components should be best managed to achieve ERP systems implementation success in real life business situations.

Citation

Jayawickrama, U., Liu, S., & Hudson Smith, M. (2016). Empirical evidence of an integrative knowledge competence framework for ERP systems implementation in UK industries. Computers in Industry, 82, 205-223. https://doi.org/10.1016/j.compind.2016.07.005

• Journal Article Type: Article
• Acceptance Date: Jul 20, 2016
• Online Publication Date: Aug 3, 2016
• Publication Date: Oct 1, 2016
• Deposit Date: May 9, 2017
• Journal: Computers in Industry
• Print ISSN: 0166-3615
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 82
• Pages: 205-223
• DOI: https://doi.org/10.1016/j.compind.2016.07.005
• Keywords: innovative KM approach, knowledge competence wheel, knowledge network model, ERP implementation success
• Public URL: https://uwe-repository.worktribe.com/output/906894
• Publisher URL: http://dx.doi.org/10.1016/j.compind.2016.07.005
• Related Public URLs: https://pearl.plymouth.ac.uk/handle/10026.1/5381