Risks to Energy Efficiency in Supply Chain Resilience: From an Emerging Economy Context

dc.contributor.author Ayranci, Gonul
dc.contributor.author Ozbiltekin-Pala, Melisa
dc.contributor.author Mangla, Sachin Kumar
dc.contributor.author Kazancoglu, Yigit
dc.date.accessioned 2025-11-25T15:25:05Z
dc.date.available 2025-11-25T15:25:05Z
dc.date.issued 2025
dc.description.abstract Supply chains, involving multiple stakeholders and complex operations, are vulnerable to disruptions; therefore, ensuring their resilience is crucial. Recently, the concept of an energy-efficient supply chain has gained attention, because it reduces costs and supports social and environmental development. However, many risks arise while improving energy efficiency in supply chains, and it is important to identify these risks, particularly in emerging economies. This study identifies these risks and their interrelations through literature review and expert opinions. By integrating Bayesian Belief Network and Monte Carlo Simulation, scenario analyses are conducted to explore the possible consequences of these risks, and the study finds that natural events are the most critical risks to energy efficiency in supply chain resilience. It contributes to the small body of literature on risks to energy efficiency in supply chain resilience, and innovatively applies scenario analysis to these risks, providing managers and practitioners with valuable insights. en_US
dc.identifier.doi 10.1080/09537287.2025.2574089
dc.identifier.issn 0953-7287
dc.identifier.issn 1366-5871
dc.identifier.scopus 2-s2.0-105019200816
dc.identifier.uri https://doi.org/10.1080/09537287.2025.2574089
dc.identifier.uri https://hdl.handle.net/20.500.14365/6590
dc.language.iso en en_US
dc.publisher Taylor & Francis Ltd en_US
dc.relation.ispartof Production Planning & Control en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Risk Management en_US
dc.subject Supply Chain Management en_US
dc.subject Energy Efficiency en_US
dc.subject Bayesian Belief Networks en_US
dc.subject Monte Carlo Simulation en_US
dc.title Risks to Energy Efficiency in Supply Chain Resilience: From an Emerging Economy Context en_US
dc.type Article en_US
dspace.entity.type Publication
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gdc.author.wosid Ozbiltekin-Pala, Melisa/Aaa-2580-2019
gdc.author.wosid Ayranci, Gonul/Mzr-6427-2025
gdc.author.wosid Kazancoglu, Yigit/E-7705-2015
gdc.author.wosid Mangla, Sachin/B-7605-2017
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gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp [Ayranci, Gonul] Izmir Univ Econ, Vocat Sch, Izmir, Turkiye; [Ozbiltekin-Pala, Melisa; Kazancoglu, Yigit] Yasar Univ, Dept Logist Management, Izmir, Turkiye; [Mangla, Sachin Kumar] OP Jindal Global Univ, Jindal Global Business Sch, Operat Management, Sonipat, Haryana, India; [Mangla, Sachin Kumar] Univ Plymouth, Plymouth Business Sch Plymouth, Plymouth, England en_US
gdc.description.endpage 20
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 1
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gdc.description.wosquality Q1
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gdc.virtual.author Ayrancı, Gönül
gdc.virtual.author Kazançoğlu, Yiğit
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