Publication:
Neutrosophic bipolar fuzzy decision-based approach for developing sustainable circular business model innovation tools

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dc.citedby8
dc.contributor.authorZaidan A.A.en_US
dc.contributor.authorDeveci M.en_US
dc.contributor.authorAlsattar H.A.en_US
dc.contributor.authorQahtan S.en_US
dc.contributor.authorShang W.-L.en_US
dc.contributor.authorDelen D.en_US
dc.contributor.authorMourad N.en_US
dc.contributor.authorMohammed Z.K.en_US
dc.contributor.authorid58789685700en_US
dc.contributor.authorid55734383000en_US
dc.contributor.authorid57196317038en_US
dc.contributor.authorid57223984929en_US
dc.contributor.authorid56921466400en_US
dc.contributor.authorid55887961100en_US
dc.contributor.authorid57212672587en_US
dc.contributor.authorid58314479500en_US
dc.date.accessioned2025-03-03T07:43:56Z
dc.date.available2025-03-03T07:43:56Z
dc.date.issued2024
dc.description.abstractThe circular economy (CE) has been identified as a possible catalyst for sustainable development by business, academics, and policymakers. To aid company developers in creating and improving business models that incorporate circularity, a variety of tools for circular business model innovation (CBMI) have been proposed. Nevertheless, the existing tools failed to consider sustainability or CE in their advancements. Currently, there is no research that has presented a complete dataset including all potential tools that may be created based on the CE? sustainability performance attributes. Moreover, there has been a dearth of research conducted to assess and model these tools in order to determine the most efficient ones, which has resulted in a research gap. This paper constructs a decision matrix of CBMI tools by intersecting 100 CBMI tools with 10 CE? sustainability performance attributes. The modeling of CBMI tools falls under Multiple Attribute Decision Making (MADM) due to the presence of many attributes, varying importance levels of these attributes, and the and variation in data. Thus, the fuzzy weighted with zero inconsistency (FWZIC) method is reformulated under neutrosophic bipolar fuzzy sets (NBFS) to determine the weight of CE's sustainability performance attributes. The matrix that has been constructed and the resulting weight values are fed into the CODAS method in order to model CBMI tools and identify the most sustainable tool. The results indicate that the NBFS-FWZIC method gave a weight value of 0.1031 to A7, which is the greatest weight value. On the other hand, A3 had the lowest weight value of 0.0944. The CODAS method modeled the 100 CBMI tools, with Tool39 being identified as the most sustainable tool and Tool26 as the least sustainable tool. The robustness and durability of the proposed method are evaluated using a sensitivity analysis, Spearman's rank correlation test, and comparison analysis. ? 2024 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo109966
dc.identifier.doi10.1016/j.cie.2024.109966
dc.identifier.scopus2-s2.0-85188638736
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85188638736&doi=10.1016%2fj.cie.2024.109966&partnerID=40&md5=3b76ea4877d7706eb4b046830803966d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36690
dc.identifier.volume189
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleComputers and Industrial Engineering
dc.subjectDurability
dc.subjectFuzzy sets
dc.subjectSensitivity analysis
dc.subjectSustainable development
dc.subjectBipolar fuzzy sets
dc.subjectBusiness model innovation
dc.subjectCircular business model innovation
dc.subjectCircular economy
dc.subjectCODAS
dc.subjectFuzzy weighted with zero inconsistency
dc.subjectMultiple attribute decision making
dc.subjectNeutrosophic bipolar fuzzy set
dc.subjectSustainability performance
dc.subjectWeight values
dc.subjectDecision making
dc.titleNeutrosophic bipolar fuzzy decision-based approach for developing sustainable circular business model innovation toolsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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