Sustainable Supply Chain Management in an Uncertain Business Environment: Investigating the Resilience of Upstream oil supply in Libya
Aljaat, Mohamed A.M.
Aljaat, Mohamed A.M.
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End of Embargo
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The University of Bradford theses are licenced under a Creative Commons Licence.
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Accepted for publication
Institution
University of Bradford
Department
School of Management. Faculty of Management, Law and Social Sciences
Awarded
2024
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Abstract
This research investigates the factors influencing the resilience and sustainability of the upstream oil and gas supply chain in an uncertain environment, with a focus on Sustainable Supply Chain Risk Management (SSCRM) through dynamic capabilities. The study is uniquely conducted in the turbulent context of the Libyan oil and gas sector, contrasting with studies in more stable environments. It employs a novel approach, utilising dynamic capabilities as a lens to examine SSCRM. The research aims to identify the dynamic capabilities that contributed to the resilience of the Libyan oil and gas industry amidst economic downturns and conflicts. By analysing this exemplary case, the study seeks to pinpoint the specific dynamic capabilities that positively impacted the industry's resilience and sustainability in chaotic circumstances.
The study employs a quantitative methodology based on a conceptual model integrating key dynamic capabilities (DCs) from existing literature. An online questionnaire was crafted to gauge the perceived impact of these DCs on the resilience and sustainability of the organisation's supply chains. The survey targeted key employees with expertise in supply chain management, and 277 responses were collected. Structured Equation Modelling (SEM) was utilised for data analysis. The results indicate that, except for one sensing DC, namely risk identification, the other capabilities, (risk assessment, mitigation, and control) were found to have significantly influenced the organisation’s resilience and the sustainability of its supply chains. The study provides a tentative explanation for the exceptional case and anticipates that these findings will have positive implications for organisations navigating uncertain economic landscapes.
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Thesis
Qualification name
PhD
