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Establishing and Verifying a Risk Ontology for Surfacing ERP Post-Implementation Risks

Establishing and Verifying a Risk Ontology for Surfacing ERP Post-Implementation Risks
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Author(s): Guo Chao Alex Peng (University of Sheffield, UK)and Miguel Baptista Nunes (University of Sheffield, UK)
Copyright: 2013
Pages: 25
Source title: Enterprise Resource Planning: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-4153-2.ch025

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Abstract

This chapter aims to establish and verify a risk ontology for the post-implementation of Enterprise Resource Planning (ERP) systems. The risk ontology was initially constructed through the process of a critical literature review. It consists of 40 ERP exploitation risks related to diverse operational, analytical, organization-wide, and technical aspects. This theoretical risk ontology can be used as the basis for identifying and assessing ERP post-implementation risks within different organizational and national contexts. In order to illustrate the discussion, a previous ERP study in China is presented as an example. The study adopted a mixed-methods design, which involved a questionnaire survey and a follow-up case study. The questionnaire examined the suitability of the established risk ontology in the context of Chinese State-Owned Enterprises (SOEs). The follow-up case study then further explored and validated the questionnaire findings. By integrating the quantitative and qualitative findings, the original ontology was verified, revised, and extended.

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