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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

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Uchitha Jayawickrama

Shaofeng Liu

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Dr Mel Smith
Associate Professor in Strat & Ops Mngt

Mamoon Al Bashir

Pervaiz Akhtar


© 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.


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.

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
Public URL
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:


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