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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
ISBN13: 9781466619937|ISBN10: 1466619937|EISBN13: 9781466619944
DOI: 10.4018/978-1-4666-1993-7.ch003
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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." Ontology-Based Applications for Enterprise Systems and Knowledge Management, edited by Mohammad Nazir Ahmad, et al., IGI Global, 2013, pp. 43-67. https://doi.org/10.4018/978-1-4666-1993-7.ch003

APA

Peng, G. C. & Nunes, M. B. (2013). Establishing and Verifying a Risk Ontology for Surfacing ERP Post-Implementation Risks. In M. Nazir Ahmad, R. Colomb, & M. Abdullah (Eds.), Ontology-Based Applications for Enterprise Systems and Knowledge Management (pp. 43-67). IGI Global. https://doi.org/10.4018/978-1-4666-1993-7.ch003

Chicago

Peng, Guo Chao Alex, and Miguel Baptista Nunes. "Establishing and Verifying a Risk Ontology for Surfacing ERP Post-Implementation Risks." In Ontology-Based Applications for Enterprise Systems and Knowledge Management, edited by Mohammad Nazir Ahmad, Robert M. Colomb, and Mohd Syazwan Abdullah, 43-67. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-1993-7.ch003

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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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