Modeling enterprise risk management in operations and supply chain : a pharmaceutical firm context

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dc.contributor.authorEnyinda, Chris I.
dc.date.accessioned2020-02-03T09:48:29Z
dc.date.available2020-02-03T09:48:29Z
dc.date.copyright2018en_US
dc.date.issued2018
dc.descriptionThis article is not available at CUD collection. The version of scholarly record of this Article is published in Operations and Supply Chain Management (2018), available online at: http://doi.org/10.31387/oscm0300195en_US
dc.description.abstractThe growing prevalence of disruptive influences in modern operations and supply chains has called for a systematic approach to identify risk sources and to develop predictive enterprise risk management. This imperative has become a top priority for many organizations such as the pharmaceutical industry. This paper leverages a multi-criteria decision making methodology to model enterprise risk management in a focal pharmaceutical firm operations and supply chain. Six types of risks and five strategies are considered and analyzed. Results suggest that supply chain executives attach great importance to regulation/legislation, followed by operational, and reputation risks, while financial, market, and relationship risks ranked low in importance. With respect to enterprise risk management strategies, risk reduction/mitigation was considered the best option followed by risk avoidance option. From the results, it appears that multi-criteria decision making methodology can be used to assist supply chain executives in developing a priority hierarchy for risk management strategies. It can also help the management with a step-by-step approach to identify, assess, and manage portfolio of risks that can be detrimental to their pharmaceutical supply chain performance, brand equity, profit growth, and shareholder value. © Operations and Supply Chain Management. All rights reserved.en_US
dc.identifier.citationEnyinda, C. I. (2018). Modeling enterprise risk management in operations and supply chain: A pharmaceutical firm context. Operations and Supply Chain Management, 11(1), 1–12. http://doi.org/10.31387/oscm0300195en_US
dc.identifier.issn19793561
dc.identifier.urihttp://dx.doi.org/10.31387/oscm0300195
dc.identifier.urihttp://hdl.handle.net/20.500.12519/105
dc.language.isoenen_US
dc.relationAuthor Affiliation: Enyinda, C.I., School of Business Administration, Canadian University Dubai, Dubai, United Arab Emirates
dc.relation.ispartofseriesOperations and Supply Chain Management;Vol. 11, no. 1
dc.rightsPermission to reuse abstract has been secured from Operations and Supply Chain Management Forum.
dc.rights.holderCopyright : 2018 Operations and Supply Chain Management. All rights reserved.
dc.subjectMulti-criteria decisionen_US
dc.subjectPharmaceutical supply chain risken_US
dc.subjectRisk management strategiesen_US
dc.titleModeling enterprise risk management in operations and supply chain : a pharmaceutical firm contexten_US
dc.typeArticleen_US

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