Construction of a Corporate Social Responsibility Evaluation System for Manufacturing Enterprises Considering Expert Credibility

Fan Yang, Yanshu Song, Jinyi Hu (), Chengjin Min, Chenghao Qiu, Yifei Liu, Meng Lv and Tongtong Huang
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Fan Yang: Nanjing University of Finance and Economics, School of Management Science and Engineering
Yanshu Song: Nanjing University of Finance and Economics, School of Management Science and Engineering
Jinyi Hu: China Overseas (Hong Kong) Limited
Chengjin Min: Nanjing University of Finance and Economics, School of Management Science and Engineering
Chenghao Qiu: Massey Institute, Nanjing University of Finance and Economics
Yifei Liu: Nanjing University of Finance and Economics, School of Management Science and Engineering
Meng Lv: Nanjing University of Finance and Economics, School of Management Science and Engineering
Tongtong Huang: Nanjing University of Finance and Economics, School of Management Science and Engineering

A chapter in Proceedings of the 2025 7th International Conference on Economic Management and Model Engineering (ICEMME 2025), 2026, pp 224-237 from Springer

Abstract: Abstract Based on stakeholder theory and group decision-making theory, this study constructs corporate social responsibility (CSR) evaluation indicators for manufacturing enterprises, comprising 5 first-level indicators and 16 second-level indicators, namely responsibilities to shareholders, customers, employees, the government, and society. The weights of each indicator were determined from the perspective of considering expert credibility, ultimately constructing a CSR evaluation system. Relevant countermeasures and suggestions are proposed, providing direction for the sustainable development of manufacturing enterprises.

Keywords: Manufacturing enterprises; Corporate social responsibility; Expert credibility; Evaluation indicators (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-602-9_22

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DOI: 10.2991/978-94-6239-602-9_22

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