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Modelling and assessing ERP project risks: A Petri Net approach

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  • Aloini, Davide
  • Dulmin, Riccardo
  • Mininno, Valeria

Abstract

Risk management of Enterprise Resource Planning (ERP) projects is largely recognized as a very complex task both by academics and practitioners. Strict interconnections among risk factors often occur so that indirect effects on the overall project performance are very likely. Unfortunately, the implications of interdependency are usually underestimated by project managers and decision makers since they are difficult to include in any risk assessment logic. This work shows how Colored Petri Nets (CPNs) can be used to model risk factors in ERP projects in order to deal with the problem of interdependence in risk assessment. The technique is presented through an application to a real case study. Findings highlight the importance of interdependence and the indirect links for an effective ranking of risks. Furthermore, results emphasize the valuable support of CPNs in risk factor modelling since they allow both a more structured and systematic risk analysis and a more accurate planning for effective risk treatment actions.

Suggested Citation

  • Aloini, Davide & Dulmin, Riccardo & Mininno, Valeria, 2012. "Modelling and assessing ERP project risks: A Petri Net approach," European Journal of Operational Research, Elsevier, vol. 220(2), pages 484-495.
    • Handle: RePEc:eee:ejores:v:220:y:2012:i:2:p:484-495
    DOI: 10.1016/j.ejor.2012.01.062
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    References listed on IDEAS

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    1. Jeanne W. Ross & Michael R. Vitale, 2000. "The ERP Revolution: Surviving vs. Thriving," Information Systems Frontiers, Springer, vol. 2(2), pages 233-241, August.
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    Cited by:

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    2. Qazi, Abroon & Dickson, Alex & Quigley, John & Gaudenzi, Barbara, 2018. "Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 196(C), pages 24-42.
    3. Yianni, Panayioti C. & Neves, Luis C. & Rama, Dovile & Andrews, John D., 2018. "Accelerating Petri-Net simulations using NVIDIA Graphics Processing Units," European Journal of Operational Research, Elsevier, vol. 265(1), pages 361-371.
    4. Zeinalnezhad, Masoomeh & Chofreh, Abdoulmohammad Gholamzadeh & Goni, Feybi Ariani & Hashemi, Leila Sadat & Klemeš, Jiří Jaromír, 2021. "A hybrid risk analysis model for wind farms using Coloured Petri Nets and interpretive structural modelling," Energy, Elsevier, vol. 229(C).
    5. Yeh, Chung-Hsing & Xu, Yan, 2013. "Managing critical success strategies for an enterprise resource planning project," European Journal of Operational Research, Elsevier, vol. 230(3), pages 604-614.
    6. Ennouri Wissem, 2013. "Risks Management: New Literature Review," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 8(1), pages 288-297, December.

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