Assessing sustainable production under circular economy context using a novel rough-fuzzy MCDM model: a case of the forestry industry in the Eastern Black Sea region

Stevic Z., KARAMAŞA Ç., DEMİR E., KORUCUK S.

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2021 (SSCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1108/jeim-10-2020-0419
  • Dergi Adı: JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, ABI/INFORM, Aerospace Database, Business Source Elite, Business Source Premier, Communication Abstracts, Educational research abstracts (ERA), INSPEC, Library and Information Science Abstracts, Library, Information Science & Technology Abstracts (LISTA), Metadex, Civil Engineering Abstracts
  • Anahtar Kelimeler: Sustainable production tools, Circular economy, Environmental based strategies, Novel rough PIPRECIA method, Fuzzy MARCOS method, PERFORMANCE, TECHNOLOGY, MANAGEMENT, CRITERIA, SYSTEM
  • Anadolu Üniversitesi Adresli: Evet

Özet

Purpose Forests are negatively affected from rapid world population increase and industrialization that create intense pressures on natural resources and the possibility of an achieving circular economy. Forests can be considered as essential resources for providing sustainable society and meeting the requirements of future generations and circular economy. Therefore sustainable production tools as part of circular economy can be handled as one of the basic indicators for achieving circular economy. Accordingly the main purpose of this study is developing a novel rough - fuzzy multi-criteria decision-making model (MCDM) for evaluation sustainable production for forestry firms in Eastern Black Sea Region. Design/methodology/approach For determining 18 criteria weights a novel Rough PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method is developed. Eight decision-makers (DMs) participated in the research, and to obtain group rough decision matrix, rough Dombi weighted geometric averaging (RNDWGA) operator has been applied. For evaluation forestry firms fuzzy MARCOS (Measurement of alternatives and ranking according to COmpromise solution) method was utilized. Findings After application developed model the fourth alternative was found as the best. Sensitivity analysis and comparison were made to present the applicability of this method. Originality/value Development of novel integrated Rough PIPRECIA-Fuzzy MARCOS model with emphasis on developing new Rough PIPRECIA method.