The Influence Mechanism of Corporate AI Social Responsibility on Employee Well-being

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Journal of Central University of Finance & Economics ›› 2024, Vol. 0 ›› Issue (11) : 117-128.

SHEN Peng-yi, ZHANG Ru-meng, WAN De-min, ZHANG Shou-gang

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Abstract

Although AI social responsibility has attracted attention in corporate practice, the existing literature lacks research results that explore the mechanism of corporate AI social responsibility affecting employee well-being.Based on the social exchange theory, the author constructed a research model on the mechanism of the impact of corporate AI social responsibility on employee well-being.For 200 enterprise employee questionnaire survey data, empirical research was conducted using hierarchical regression analysis and Bootstrap method.The test results confirm that corporate AI social responsibility positively affects employee well-being through the mediating role of performance expectations and emotional attachment; organizational AI readiness has a positive moderating effect on the relationship between corporate AI social responsibility and emotional attachment, but not on the relationship between corporate AI social responsibility and performance expectations. The conclusions drawn in this study by empirically examining the mechanism by which corporate AI social responsibility affects employee well-being expand the boundaries of CSR theory and its application in AI contexts, enrich the existing literature on academic discussions such as the social exchange theory, and can provide a theoretical basis for the practical activities of promoting the fulfillment of AI social responsibility by corporations and the enhancement of employee well-being.

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Artificial intelligence / Corporate AI social responsibility / Employee well-being / Performance expectations / Emotional attachment / Organizational AI readiness

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SHEN Peng-yi, ZHANG Ru-meng, WAN De-min, ZHANG Shou-gang. The Influence Mechanism of Corporate AI Social Responsibility on Employee Well-being[J]. Journal of Central University of Finance & Economics, 2024, 0(11): 117-128

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