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Article type: Research Article
Authors: Feng, Xiangqiana; * | Shi, Huia | Wei, Cuipingb
Affiliations: [a] School of Business, Nanjing Normal University, Nanjing, P.R. China | [b] College of Mathematical Sciences, Yangzhou University, Yangzhou, P.R. China
Correspondence: [*] Corresponding author. Xiangqian Feng, Scool of Business, Nanjing Normal University, Nanjing 210023, P.R. China. Tel.: +86 138 519 43499; E-mail: [email protected].
Abstract: As a core resource of the company, employees play a major role to implement green management related behaviors in enterprises. Management department is also working hard to improve the ability of employees to perform these green behaviors for the company’s sustainable development capabilities. This study is the first effort that evaluation of effect factors of employee green behavior ability (EGBA) by intuitionistic fuzzy number-best worst method (IFN-BWM). To reach the study objective, a total of four criteria and twenty-seven sub-criteria for evaluation of EGBA are collected from the existing literatures. Subsequently, the PFN-VIKOR methodology (Pythagorean Fuzzy Number-Visekriterijumska Optimizacija I Kom-promisno Resenje) is proposed to rank EGBA levels. The results of this study show that employee self-efficacy and employee initiative in learning relevant green knowledge are important factors to enhance EGBA. Moreover, findings confirm that extended fuzzy semantic values and novel algorithm can accurately measure the decision makers’ mind and improve the accuracy of evaluation. This study also provides a framework for managers to evaluate their employee’ green behavior ability.
Keywords: Green behavior, Best-worst method, VIKOR, sustainability development
DOI: 10.3233/JIFS-212660
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 1, pp. 1141-1162, 2022
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