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Abstract
The widely held opinion that firms should undertake corporate social responsibility (CSR) sometimes conflicts with profit maximization, which is a primary motivation for firms. CSR performance-evaluation may resolve this conflict. Taking real estate firm as an example, this study build a CSR performance-evaluation index system that includes economic performance, business ethics, environmental protection and social contribution based on stakeholder theory and symbiosis theory. This study combines the analytic hierarchy process (AHP) with the fuzzy comprehensive evaluation (FCE) method to propose an improved analytic hierarchy process-fuzzy comprehensive evaluation (AHP-FCE) algorithm. Improved by the personality-trait theory, the algorithm is used in the CSR performance-evaluation model. This research may provide a useful opinion based on which the public may choose predictive indexes for assessment of CSR, and conduct accurate supervision at all levels of CSR. The AHP-FCE model proposed in this research applies widely in the evaluation of CSR performance.
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Notes
The data of heng company mainly come from the information announced by the company.
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Acknowledgements
This paper is supported by the National Natural Science Foundation of China under Grant Number 71472088.
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School of Economics and Management, Nanjing University of Science and Technology, Xiaolingwei 200, Nanjing, 210094, Jiangsu, People’s Republic of China
Wenqin Li, Guanghua Xu, Dongdong Zuo & Jiali Zhu
- Wenqin Li
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This paper is the result of cooperation between the authors. GX designed the research and wrote the sections of the manuscript based on the literature review. WL contributed to the research and designed the evaluation system. DZ and JZ wrote other sections of the manuscript. The authors have reviewed the manuscript and approved the final version of the document.
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Correspondence toWenqin Li.
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Li, W., Xu, G., Zuo, D.et al. Corporate Social Responsibility Performance-Evaluation Based on Analytic Hierarchy Process-Fuzzy Comprehensive Evaluation Model.Wireless Pers Commun118, 2897–2919 (2021). https://doi.org/10.1007/s11277-021-08161-4
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