Quality Improvement of Agricultural Products Supply Chain Under Social Preference and CSR by Big Data Analysis

Yanhong Qin, Lin Xiang

Source Title: Journal of Global Information Management (JGIM)30(7)

ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781668435700|DOI: 10.4018/JGIM.291513

MLA

Qin, Yanhong, and Lin Xiang. "Quality Improvement of Agricultural Products Supply Chain Under Social Preference and CSR by Big Data Analysis." JGIM vol.30, no.7 2022: pp.1-26. http://doi.org/10.4018/JGIM.291513

APA

Qin, Y. & Xiang, L. (2022). Quality Improvement of Agricultural Products Supply Chain Under Social Preference and CSR by Big Data Analysis. Journal of Global Information Management (JGIM), 30(7), 1-26. http://doi.org/10.4018/JGIM.291513

Chicago

Qin, Yanhong, and Lin Xiang. "Quality Improvement of Agricultural Products Supply Chain Under Social Preference and CSR by Big Data Analysis," Journal of Global Information Management (JGIM) 30, no.7: 1-26. http://doi.org/10.4018/JGIM.291513

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Abstract

Purpose- The aim of this study is to analyze the effect of corporate social responsibility (CSR) and social preference on quality improvement of the agricultural products supply chain composed of agricultural products producer and processor (A3P) and supermarket by theoretical analysis and empirical evidence. Methodology- This paper sets Stackelberg game model under A3P’s CSR by considering supermarket’s altruistic reciprocity and A3P’s fairness conern, respectively. By comparative analysis, we study the effect of CSR, altruistic reciprocity and fairness conern on the quality improvement of the agricultural products supply chain. Then, we adopt the empirical evidence to analyze the correlation between CSR, altruistic reciprocity (fairness concern) and quality improvement and the mediating effect of altruistic reciprocity (fairness concern) by investigating the agricultural enterprises.