Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/32222
Autoria: | Oliveira, P. S. P. C. Ferreira, F. A. F. Dabić, M. Ferreira, J. J. M. Ferreira, N. C. M. Q. F. |
Data: | 2024 |
Título próprio: | Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling |
Título da revista: | Energy Economics |
Volume: | 138 |
Referência bibliográfica: | Oliveira, P. S. P. C., Ferreira, F. A. F., Dabić, M., Ferreira, J. J. M., & Ferreira, N. C. M. Q. F. (2024). Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling. Energy Economics, 138, Article 107842. https://doi.org/10.1016/j.eneco.2024.107842 |
ISSN: | 0140-9883 |
DOI (Digital Object Identifier): | 10.1016/j.eneco.2024.107842 |
Palavras-chave: | Circular economy Cognitive mapping Interpretive structural modeling (ISM) Small and medium-sized enterprises (SMEs) Sustainability |
Resumo: | The circular economy has emerged as a crucial way for companies to achieve their sustainability goals. Numerous businesses, especially small and medium-sized enterprises (SMEs), are integrating circular-economy projects into their operations. However, this undertaking presents multiple challenges as many managers must grapple with constraints in resources and expertise. This study’s primary objective is to develop a process-oriented decision-making system designed to deal with complex circular-economy scenarios. The proposed analysis system can help SMEs identify the driving forces behind circular-economy principles and evaluate the intricate connections between these determinants, using a unique combination of multiple criteria decision analysis methods (i.e., cognitive mapping, and interpretive structural modeling). Collaborative sessions involving circular-economy experts were instrumental in refining the analysis system, and in-depth discussions with other specialists from the International Labor Organization further enriched this decision-support system. The findings include that circular-economy drivers can be grouped into five clusters: products, processes, policies/regulations, attitudes/behaviors, and communication/awareness. This structured breakdown provides SMEs with the tools to comprehend and address the pivotal factors that shape circular-economy initiatives. This pioneering study thus produced a comprehensive decision-making model attuned to the intricacies of the circular economy while highlighting the benefits of collaborative endeavors involving industry experts and global decision makers. |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Tamanho | Formato | |
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article_105063.pdf | 4,63 MB | Adobe PDF | Ver/Abrir |
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