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Risk management in enterprise resource planning implementation: a new risk assessment framework

Author

Listed:
  • Prasanta K. Dey
  • Ben Clegg

    (Operations & Information Management Group (OIM) - Aston University [Birmingham] - Aston Business School)

  • Walid Cheffi

    (College of business administration - University of Dubaï)

Abstract

Enterprise resource planning (ERP) projects are risky. But if they are implemented appropriately, they can provide competitive advantage to organisations. Therefore, ERP implementation has become one of the most critical aspects of today's information management research. The main purpose of this article is to describe a new ERP risk assessment framework (RAF) that can be used to increase the success of ERP implementation. In this article, through a case study based in a leading UK-based energy service provider, we demonstrate the new RAF, which has been shown to help identify and mitigate risks in ERP implementation. In contrast to other research, this RAF identifies risks hierarchically in external engagement, programme management, work stream and work package levels across technical, schedule, operational, business and organisational categories. This not only helped to develop responses to mitigate risks but also facilitates on-going risk control.

Suggested Citation

  • Prasanta K. Dey & Ben Clegg & Walid Cheffi, 2013. "Risk management in enterprise resource planning implementation: a new risk assessment framework," Post-Print hal-00812048, HAL.
    • Handle: RePEc:hal:journl:hal-00812048
    DOI: 10.1080/09537287.2011.597038
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    Citations

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    Cited by:

    1. Natalia Futekova & Vladimir Monov, 2015. "Statistical Study on the Need for a Preliminary Assessment of the Effectiveness of the Implementation Process of ERP-Systems in Bulgarian SMEs," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 46-63, October.
    2. Fernando Acebes & David Poza & Jose M Gonzalez-Varona & Javier Pajares & Adolfo Lopez-Paredes, 2024. "On the project risk baseline: integrating aleatory uncertainty into project scheduling," Papers 2406.00077, arXiv.org.

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