Prioritization of Industrial Symbiosis Enablers Using a Hesitant Fuzzy SWARA Approach
Industrial 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...
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Sakarya University
2025-07-01
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| Series: | İşletme Bilimi Dergisi |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/4750188 |
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| author | Sinan Çıkmak |
| author_facet | Sinan Çıkmak |
| author_sort | Sinan Çıkmak |
| collection | DOAJ |
| description | Industrial 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." |
| format | Article |
| id | doaj-art-cae1a609edeb4cb5abde292f6fb13a48 |
| institution | Kabale University |
| issn | 2148-0737 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | İşletme Bilimi Dergisi |
| spelling | doaj-art-cae1a609edeb4cb5abde292f6fb13a482025-08-20T03:56:41ZengSakarya Universityİşletme Bilimi Dergisi2148-07372025-07-0113220022810.22139/jobs.167107028Prioritization of Industrial Symbiosis Enablers Using a Hesitant Fuzzy SWARA ApproachSinan Çıkmak0https://orcid.org/0000-0002-4704-3409DÜZCE ÜNİVERSİTESİIndustrial 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."https://dergipark.org.tr/tr/download/article-file/4750188industrial symbiosisenablershesitant fuzzy setsswara |
| spellingShingle | Sinan Çıkmak Prioritization of Industrial Symbiosis Enablers Using a Hesitant Fuzzy SWARA Approach İşletme Bilimi Dergisi industrial symbiosis enablers hesitant fuzzy sets swara |
| title | Prioritization of Industrial Symbiosis Enablers Using a Hesitant Fuzzy SWARA Approach |
| title_full | Prioritization of Industrial Symbiosis Enablers Using a Hesitant Fuzzy SWARA Approach |
| title_fullStr | Prioritization of Industrial Symbiosis Enablers Using a Hesitant Fuzzy SWARA Approach |
| title_full_unstemmed | Prioritization of Industrial Symbiosis Enablers Using a Hesitant Fuzzy SWARA Approach |
| title_short | Prioritization of Industrial Symbiosis Enablers Using a Hesitant Fuzzy SWARA Approach |
| title_sort | prioritization of industrial symbiosis enablers using a hesitant fuzzy swara approach |
| topic | industrial symbiosis enablers hesitant fuzzy sets swara |
| url | https://dergipark.org.tr/tr/download/article-file/4750188 |
| work_keys_str_mv | AT sinancıkmak prioritizationofindustrialsymbiosisenablersusingahesitantfuzzyswaraapproach |