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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

Guo Chao Alex Peng, Miguel Baptista Nunes
Copyright: © 2013 |Pages: 25
ISBN13: 9781466641532|ISBN10: 1466641533|EISBN13: 9781466641549
DOI: 10.4018/978-1-4666-4153-2.ch025
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MLA

Peng, Guo Chao Alex, and Miguel Baptista Nunes. "Establishing and Verifying a Risk Ontology for Surfacing ERP Post-Implementation Risks." Enterprise Resource Planning: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 450-474. https://doi.org/10.4018/978-1-4666-4153-2.ch025

APA

Peng, G. C. & Nunes, M. B. (2013). Establishing and Verifying a Risk Ontology for Surfacing ERP Post-Implementation Risks. In I. Management Association (Ed.), Enterprise Resource Planning: Concepts, Methodologies, Tools, and Applications (pp. 450-474). IGI Global. https://doi.org/10.4018/978-1-4666-4153-2.ch025

Chicago

Peng, Guo Chao Alex, and Miguel Baptista Nunes. "Establishing and Verifying a Risk Ontology for Surfacing ERP Post-Implementation Risks." In Enterprise Resource Planning: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 450-474. Hershey, PA: IGI Global, 2013. https://doi.org/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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