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Knowledge retention in ERP implementations: the context of UK SMEs

Jayawickrama, Uchitha; Liu, Shaofeng; Smith, Mel; Al Bashir, Mamoon; Akhtar, Pervaiz

Authors

Uchitha Jayawickrama

Shaofeng Liu

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Dr Mel Smith Mel.Smith@uwe.ac.uk
AHOD Subject Leader in Strat & Ops Mngt

Mamoon Al Bashir

Pervaiz Akhtar



Abstract

© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Knowledge retention (k-retention) is vital for various enterprise resource planning (ERP) implementations in small and medium-sized enterprises (SMEs), though it is a highly demanding and challenging task. The aim of this paper is to investigate different types of approaches to k-retention and factors influencing k-retention in SMEs. Our study adopts a grounded theory approach with cases based on 12 ERP implementations in UK SMEs. We analyze our data using thematic analysis. The findings reveal specific elements that support the k-retention of ERP package knowledge and business process knowledge. These elements are: k-retention tools, documentation, human capital and the understanding of k-retention challenges. In addition to insights from these aspects, our study reveals two additional factors (project management and organizational culture) that influence ERP package k-retention and business process k-retention. Based on these findings, we develop an ERP k-retention (EKR) framework that can be utilized by SMEs which are considering implementing ERP systems, to facilitate knowledge retention during implementation.

Journal Article Type Article
Publication Date Sep 10, 2019
Journal Production Planning and Control
Print ISSN 1366-5871
Electronic ISSN 1366-5871
Publisher Taylor & Francis
Peer Reviewed Peer Reviewed
Volume 30
Issue 10-12
Pages 1032-1047
APA6 Citation Jayawickrama, U., Liu, S., Smith, M., Al Bashir, M., & Akhtar, P. (2019). Knowledge retention in ERP implementations: the context of UK SMEs. Production Planning and Control, 30(10-12), 1032-1047. https://doi.org/10.1080/09537287.2019.1582107
DOI https://doi.org/10.1080/09537287.2019.1582107
Additional Information This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 30 Jun 2019, available online: http://www.tandfonline..../09537287.2019.1582107.
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