Uchitha Jayawickrama
Knowledge retention in ERP implementations: the context of UK SMEs
Jayawickrama, Uchitha; Liu, Shaofeng; Smith, Mel; Al Bashir, Mamoon; Akhtar, Pervaiz
Authors
Shaofeng Liu
Dr Mel Smith Mel.Smith@uwe.ac.uk
Associate Professor 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 |
---|---|
Acceptance Date | Apr 10, 2018 |
Online Publication Date | Jun 30, 2019 |
Publication Date | Sep 10, 2019 |
Deposit Date | May 14, 2018 |
Publicly Available Date | Jul 1, 2020 |
Journal | Production Planning and Control |
Print ISSN | 0953-7287 |
Electronic ISSN | 1366-5871 |
Publisher | Taylor & Francis |
Peer Reviewed | Peer Reviewed |
Volume | 30 |
Issue | 10-12 |
Pages | 1032-1047 |
DOI | https://doi.org/10.1080/09537287.2019.1582107 |
Public URL | https://uwe-repository.worktribe.com/output/874674 |
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.com/doi/full/10.1080/09537287.2019.1582107. |
Contract Date | May 14, 2018 |
Files
Repository copy - PPC paper 2018.pdf
(2.5 Mb)
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