Optimization Analysis of Corporate Social Responsibility Innovation Paths Based on Bayesian Networks

Yanbin Ni ()
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Yanbin Ni: Yongfu Construction Group

A chapter in Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024), 2024, pp 406-415 from Springer

Abstract: Abstract To optimize corporate social responsibility (CSR) innovation paths, this study utilizes Bayesian networks to construct a dynamic decision-making model, analyzing the long-term effects of different strategies on environmental protection, social impact, and economic performance. The results show that Bayesian networks can effectively address complex uncertainties, enhance the scientific precision of CSR practices, and contribute to the improvement of sustainability and competitiveness.

Keywords: Bayesian networks; corporate social responsibility; path optimization (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-598-0_42

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DOI: 10.2991/978-94-6463-598-0_42

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