A decision framework for incorporating the coordination and behavioural issues in sustainable supply chains in digital economy

dc.contributor.author Patanjal Kumar
dc.contributor.author Sachin Kumar Mangla
dc.contributor.author Yigit Kazancoglu
dc.contributor.author Ali Emrouznejad
dc.date JUL
dc.date.accessioned 2025-10-06T16:23:21Z
dc.date.issued 2023
dc.description.abstract Global warming climate change and social problems are the worst human-induced sustainability issues that economies across the globe have witnessed. Water pollution greenhouse effect poor working conditions child labour and lack of coordination among channel partners have caused the considerable interruptions in the supply chain network. The purpose of the paper is to identify critical factors affecting behavioural and sustainable supply chain coordination and evaluate strategies for risk reduction in the supply chain coordination in the context of digitization. This study purposes a novel supply chain coordination framework which consists of four themes such as system actor objective and action on which the success or the failure of supply chain can be contingent. Our study integrates multi-criteria decision approach using Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) and Fuzzy Decision-Making Trial and Evaluation Laboratory (Fuzzy-DEMATEL) to investigate factors that affected the behavioural and sustainable supply chain coordination in the context of digitization. The Fuzzy-AHP method qualified to hierarchically rank the factors based on the relative fuzzy weightage while Fuzzy-DEMATEL established the inter-relationships among the factors and classified them into cause and effect groups. The findings of our study identified the Environmental performance and decarbonization as the most significant factor and the speed to market as the least important factor in developing behavioural and sustainable supply chain coordination in the context of digitization. Our analysis from Fuzzy AHP-DEMATEL approach reveal that the social preferences (power balance reciprocity fairness) is a significant causal factor which can effectively abolish the issues plaguing behavioural and sustainable supply chain coordination in the context of digitization. The results from our study aim to facilitate decision makers in cultivating a sustainable supply chain framework that can boost trust among the channel partners environmental performance social performance and channel efficiency of the supply chain thereby ensuring sustainability and socio welfare of all the supply chain.
dc.identifier.doi 10.1007/s10479-022-04814-0
dc.identifier.issn 0254-5330
dc.identifier.issn 1572-9338
dc.identifier.uri http://dx.doi.org/10.1007/s10479-022-04814-0
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7818
dc.language.iso English
dc.publisher SPRINGER
dc.relation.ispartof Annals of Operations Research
dc.source ANNALS OF OPERATIONS RESEARCH
dc.subject Fuzzy analytic hierarchy process, Decision-making trial and evaluation laboratory, Supply chain coordination, Sustainability, Digitization
dc.subject CORPORATE SOCIAL-RESPONSIBILITY, PEER-INDUCED FAIRNESS, SPEED-TO-MARKET, CHANNEL COORDINATION, PRODUCT PERFORMANCE, RELIABILITY, TRUST, SYNCHRONIZATION, ALLOCATION, LOGISTICS
dc.title A decision framework for incorporating the coordination and behavioural issues in sustainable supply chains in digital economy
dc.type Article
dspace.entity.type Publication
gdc.bip.impulseclass C3
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.endpage 749
gdc.description.startpage 721
gdc.description.volume 326
gdc.identifier.openalex W4283789448
gdc.index.type WoS
gdc.oaire.diamondjournal false
gdc.oaire.impulse 32.0
gdc.oaire.influence 3.3041982E-9
gdc.oaire.isgreen false
gdc.oaire.keywords supply chain coordination
gdc.oaire.keywords Transportation, logistics and supply chain management
gdc.oaire.keywords Management decision making, including multiple objectives
gdc.oaire.keywords Inventory, storage, reservoirs
gdc.oaire.keywords sustainability
gdc.oaire.keywords decision-making trial and evaluation laboratory
gdc.oaire.keywords Reliability, availability, maintenance, inspection in operations research
gdc.oaire.keywords fuzzy analytic hierarchy process
gdc.oaire.keywords digitization
gdc.oaire.keywords Production models
gdc.oaire.popularity 2.82024E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0502 economics and business
gdc.openalex.collaboration International
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gdc.opencitations.count 28
gdc.plumx.crossrefcites 3
gdc.plumx.mendeley 117
gdc.plumx.scopuscites 39
oaire.citation.endPage 749
oaire.citation.startPage 721
person.identifier.orcid KUMAR MANGLA- SACHIN/0000-0001-7166-5315, Emrouznejad- Ali/0000-0001-8094-4244, Kazancoglu- Yigit/0000-0001-9199-671X
publicationissue.issueNumber 2
publicationvolume.volumeNumber 326
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