A fuzzy cognitive mapping-system dynamics approach to energy-change impacts on the sustainability of small and medium-sized enterprises

JOURNAL OF CLEANER PRODUCTION

卷:256

Article

Pereira, Ines P. C.¹  Ferreira, Fernando A. F.^2,3  Pereira, Leandro F.¹  Govindan, Kannan^4,5  Meidute-Kavaliauskien, Ieva^6,7  Correia, Ricardo J. C.⁸ 

[1] Univ Inst Lisbon, ISCTE Business Sch, Ave Forcas Armadas, P-1649026 Lisbon, Portugal

[2] Univ Inst Lisbon, ISCTE Business Sch, BRU IUL, Ave Forcas Armadas, P-1649026 Lisbon, Portugal

[3] Univ Memphis, Fogelman Coll Business & Econ, Memphis, TN 38152 USA

[4] Shanghai Maritime Univ, China Inst FTZ Supply Chain, Shanghai 201306, Peoples R China

[5] Univ Southern Denmark, Dept Technol & Innovat, Campusvej 55, DK-5230 Odense M, Denmark

[6] Vilnius Gediminas Tech Univ, Fac Business Management, Sauletekio Al 11, LT-10223 Vilnius, Lithuania

[7] Univ Inst Lisbon, Business Res Unit, Ave Forcas Armadas, P-1649026 Lisbon, Portugal

[8] Univ Madeira, Fac Social Sci, Campus Univ Penteada, P-9020105 Funchal, Portugal

关键词: Decision-support system;    Energy change;    Fuzzy cognitive mapping;    Small and medium-sized enterprises;    Sustainability;    System dynamics;   

DOI  :  10.1016/j.jclepro.2020.120154

来源: Elsevier

【 摘 要 】

Although large firms have already begun addressing energy efficiency issues and adopting cleaner types of energy, companies with fewer resources, such as small and medium-sized enterprises, are more reluctant to implement these measures. Given that strategies leading to energy sustainability have become a key aspect of business competitiveness, decision makers in small and medium-sized enterprises could clearly benefit from a new approach that provides a better understanding of energy-change impacts on their business activities. The present study combined fuzzy cognitive mapping and the system dynamics approach to develop an informed, transparent model for use in analyses of energy-change effects on the sustainability of small and medium-sized enterprises. This dual methodology facilitated an examination of cause-and-effect relationships between decision criteria and the clarification of dynamic interactions between variables from a holistic, real-world perspective, thereby enriching the extant literature. The results of the proposed decision-support system were validated by two senior staff members of the Directorate for Energy Sustainability Services of Portugal's Directorate General for Energy and Geology. The advantages, limitations, and implications of our constructivist, process-oriented framework for research and practice are also discussed. (C) 2020 Elsevier Ltd. All rights reserved.

【 授权许可】

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