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Surfacing ERP exploitation risks through a risk ontology

Peng, Guo Chao and Nunes, J.M.B. (2009) Surfacing ERP exploitation risks through a risk ontology. Industrial Management and Data Systems, 109 (7). pp. 926-942. ISSN 0263-5577

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Abstract

Purpose – The purpose of this paper is to develop a risk identification checklist for facilitating user companies to surface, organise and manage potential risks associated with the post-adoption of Enterprise Resource Planning (ERP) systems.

Design/methodology/approach – A desktop study, based on the process of a critical literature review, was conducted by the researchers. The critical review focused on IS and business research papers, books, case studies and theoretical articles, etc.

Findings – By systematically and critically analysing and synthesising the literature reviewed, the researchers identified and proposed a total of 40 ERP post-implementation risks related to diverse operational, analytical, organisation-wide and technical aspects. A risk ontology was subsequently established to highlight these ERP risks, as well as to present their potential causal relationships.

Research limitations/implications – For researchers, the established ERP risk ontology represents a starting point for further research, and provides early insights into a research field that will become increasingly important as more and more companies progress from implementation to exploitation of ERPs.

Practical implications – For practitioners, the risk ontology is an important tool and checklist to support risk identification, prevention, management and control, as well as to facilitate strategic planning and decision making.

Originality/value – There is a scarcity of studies focusing on ERP post-implementation in contrast with an over abundance of studies focusing on system implementation and project management aspects. This paper aims to fill this significant research gap by presenting a risk ontology of ERP post-adoption. It represents a first attempt in producing a comprehensive model in its area. No other such models could be found from the literature reviewed.

Item Type: Article
Keywords: Enterprise Resource Planning, ERP, Information System, Post-implementation, Exploitation, Risk
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Dr Guo Chao Peng
Date Deposited: 09 Oct 2009 15:08
Last Modified: 07 Jun 2014 12:03
Published Version: http://dx.doi.org/10.1108/02635570910982283
Status: Published
Publisher: Emerald
Refereed: Yes
Identification Number: 10.1108/02635570910982283
Related URLs:
URI: http://eprints.whiterose.ac.uk/id/eprint/9830

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