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dc.contributor.authorAroge, Olatunde O.
dc.contributor.authorRahmanian, Nejat
dc.contributor.authorMunive-Hernandez, J. Eduardo
dc.contributor.authorAbdi, Reza
dc.date.accessioned2020-07-22T17:00:50Z
dc.date.accessioned2020-08-14T07:11:11Z
dc.date.available2020-07-22T17:00:50Z
dc.date.available2020-08-14T07:11:11Z
dc.date.issued2020
dc.identifier.citationAroge OO, Rahmanian N, Munive-Hernandez JE et al (2020) Decision Making Model for Supply Chain Risk Management in Petroleum Industry. International Journal of Decision Sciences, Risk and Management. Accepted for publication.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17959
dc.descriptionYesen_US
dc.description.abstractThe purpose of this paper is to develop a decision-making model for supporting the management of risks in supply chain. This proposed model is applied to the case of the oil industry in Nigeria. A Partial Least Square Structural Equation Model (PLS-SEM) is developed to measure the significance of the influence of risk management strategy on mitigating disruption risks and their correlations with the performance of activities in the supply chain and relevance of key performance measures in the organisation. The model considered seven aspects: behavioural-based management strategy, buffer based oriented management strategy, exploration and production risks, environmental and regulatory compliance risks, geopolitical risks, supply chain performance, and organisational performance measures. A survey questionnaire was applied to collect data to populate the model, with 187 participants from the oil industry. Based on the PLS-SEM methodology, an optimised risk management decision-making method was developed and accomplished. The results show that behavioural-based mechanism predicts the capacity of the organisation to manage risks successfully in its supply chain. The approach proposed provides a new and practical methodology to manage disruption risks in supply chains. Further, the behavioural-based mechanism can help to formulate risk management strategies in the oil industry.en_US
dc.language.isoenen_US
dc.rights(c) 2020 InderScience Publishers. Full-text reproduced in accordance with the publisher's self-archiving policy.
dc.subjectRisk managementen_US
dc.subjectSupply chain risken_US
dc.subjectOil production industryen_US
dc.subjectDecision makingen_US
dc.subjectPLS-SEMen_US
dc.subjectNigeriaen_US
dc.titleDecision-making model for supply chain risk management in the petroleum industryen_US
dc.status.refereedYesen_US
dc.typeArticleen_US
dc.date.EndofEmbargo2021
dc.type.versionAccepted manuscripten_US
dc.description.publicnotesThe full-text of this article will be released for public view at the end of the publisher embargo, 12 months from first publication date.
dc.identifier.doihttps://doi.org/10.1504/IJDSRM.2020.10034972
dc.date.updated2020-07-22T16:01:00Z
refterms.dateFOA2020-08-14T07:11:55Z


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