Prioritization of Industrial Symbiosis Enablers Using a Hesitant Fuzzy SWARA Approach

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dc.contributor.authorÇıkmak, Sinan
dc.date.accessioned2025-10-11T20:42:33Z
dc.date.available2025-10-11T20:42:33Z
dc.date.issued2025
dc.departmentDüzce Üniversitesien_US
dc.description.abstractIndustrial symbiosis (IS), a crucial tool for reducing industrial waste, preventing pollution, and enhancing resource efficiency, is emerging as one of the sustainable approaches. IS is a network structure in which independent industrial enterprises cooperate and use the waste or by-products of one as raw material for the other. This synergistic network structure can help companies reduce costs, boost efficiency, and lessen negative environmental impacts. However, successful IS implementation relies on key enabling factors facilitating collaboration and ensuring mutual benefits among participants. This study focuses on Türkiye, where the development of IS networks holds significant potential due to its industrial diversity and growing emphasis on sustainability. It aims to rank the critical enabling factors in fostering these networks. To achieve this aim, Stepwise Weight Assessment Ratio Analysis (SWARA), a subjective multi-criteria decision-making (MCDM) technique that systematically evaluates and ranks criteria based on expert judgments, was employed. This approach was integrated with hesitant fuzzy sets to account for uncertainty and hesitation in expert opinions, ensuring a more robust assessment of the enabling factors. In the present study, a comprehensive literature review and expert opinions were employed to identify 23 sub-enablers falling under five main dimensions. The hesitant fuzzy SWARA method was then applied to calculate their importance weights. The results of the study indicate that the five most critical sub-enablers are, in descending order of importance: "reduction of raw material costs," "interest and support from top management," "reduction of waste disposal costs," "geographical proximity," and "openness to new business ideas."en_US
dc.identifier.doi10.22139/jobs.1671070
dc.identifier.endpage228en_US
dc.identifier.issn2148-0737
dc.identifier.issue2en_US
dc.identifier.startpage200en_US
dc.identifier.urihttps://doi.org/10.22139/jobs.1671070
dc.identifier.urihttps://hdl.handle.net/20.500.12684/21119
dc.identifier.volume13en_US
dc.institutionauthorÇıkmak, Sinan
dc.language.isoenen_US
dc.publisherSakarya Universityen_US
dc.relation.ispartofİşletme Bilimi Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_DergiPark_20250911
dc.subjectBusiness Administrationen_US
dc.subjectİşletmeen_US
dc.titlePrioritization of Industrial Symbiosis Enablers Using a Hesitant Fuzzy SWARA Approachen_US
dc.typeArticle

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