Knowledge retention in ERP implementations: the context of UK SMEs

Uchitha Jayawickrama*, Shaofeng Liu, Melanie Hudson Smith, Pervaiz Akhtar, Mamoon Al Bashir

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1032-1047
Number of pages16
JournalProduction Planning and Control
Volume30
Issue number10-12
DOIs
Publication statusPublished - 10 Sept 2019

ASJC Scopus subject areas

  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Keywords

  • EKR framework
  • Enterprise resource planning
  • ERP implementation
  • knowledge management
  • knowledge retention
  • UK SMEs

Fingerprint

Dive into the research topics of 'Knowledge retention in ERP implementations: the context of UK SMEs'. Together they form a unique fingerprint.

Cite this