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dc.contributor.authorYurtyapan, Mustafa Said
dc.contributor.authorAydemir, Erdal
dc.date.accessioned2026-06-08T08:26:11Z
dc.date.available2026-06-08T08:26:11Z
dc.date.issued2026
dc.identifier.citationYurtyapan M.S., Aydemir E. (2026). An intuitionistic fuzzy based grey OPA methodology to ERP software selection under sustainability and Industry 4.0 compatibility". Grey Systems: Theory and Application, 16(2), 426-447.en_US
dc.identifier.issn2043-9385
dc.identifier.urihttp://hdl.handle.net/20.500.12566/2473
dc.description.abstractPurpose The purpose of this paper is to show Industry 4.0 technologies the potential of Industry 4.0 technologies to reduce the environmental impact of manufacturing processes and transform business models towards sustainability. In this study, the ERP selection process is examined with sustainability and Industry 4.0 criteria under fuzzy and grey uncertainty methodologies. Design/methodology/approach A case study employed the intuitionistic fuzzy sets-based grey ordinal priority approach (OPA-G) methodology to evaluate sustainability criteria that are in line with the 17 Sustainable Development Goals (SDGs) by the United Nations and seven generic framework applications of Industry 4.0 compatibility. This approach was particularly chosen to address the uncertainties involved in selecting appropriate and reliable ERP software. Findings In this study, the enterprises often prioritize economic performance over environmental and social criteria. However, there is also recognition of the importance of integrating Industry 4.0 technologies such as cloud and edge computing, artificial intelligence, the Internet of Things, and big data in ERP selection processes to foster sustainable practices. Practical implications Industry 4.0 technologies enhance sustainability by providing real-time data analytics, increasing supply chain transparency, and optimizing resources to minimize waste and environmental impact. These innovations help businesses align with global sustainability standards, balancing economic, environmental, and social goals considering the circular economy (CE) while appealing to conscious consumers and investors. Originality/value This study introduces a novel use of the intuitionistic fuzzy set-based grey OPA methodology to evaluate sustainability criteria in ERP software selection, focusing on incorporating sustainability uncertainties and highlighting the importance of Industry 4.0 technologies for sustainable development under CE.en_US
dc.description.sponsorshipNo sponsoren_US
dc.language.isoengen_US
dc.publisherGrey Systems: Theory and Applicationen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectERP selectionen_US
dc.subjectERP seçimitr_TR
dc.subjectSustainabilityen_US
dc.subjectSürdürülebilirliktr_TR
dc.subjectIndustry 4.0en_US
dc.subjectEndüstri 4.0tr_TR
dc.subjectIntuitionistic fuzzyen_US
dc.subjectSezgisel bulanıktr_TR
dc.subjectGrey OPAen_US
dc.subjectGri OPAtr_TR
dc.subjectCircular economyen_US
dc.subjectDöngüsel ekonomitr_TR
dc.titleAn intuitionistic fuzzy based grey OPA methodology to ERP software selection under sustainability and Industry 4.0 compatibilityen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.wosWOS:001707065100001
dc.identifier.scopus2-s2.0-105035584848
dc.identifier.volume16
dc.identifier.issue2
dc.identifier.startpage426
dc.identifier.endpage447
dc.contributor.orcid0000-0003-3457-3803 [Yurtyapan, Mustafa Said]
dc.contributor.abuauthorYurtyapan, Mustafa Said
dc.contributor.yokid260803 [Yurtyapan, Mustafa Said]
dc.identifier.doi10.1108/GS-09-2024-0112en_US


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