Does CSR Reduce Idiosyncratic Risk? Roles of Operational Efficiency and AI Innovation

企业社会责任 内生性 业务 背景(考古学) 生产力 产业组织 系统性风险 情感(语言学) 营销 经济 计量经济学 财务 生态学 语言学 生物 哲学 宏观经济学 古生物学
作者
Guo Li,Na Li,Suresh Sethi
出处
期刊:Production and Operations Management [Wiley]
卷期号:30 (7): 2027-2045 被引量:176
标识
DOI:10.1111/poms.13483
摘要

In the context of Industry 4.0, corporate social responsibility (CSR) plays an increasingly important role in firm risk management. To mitigate risk and improve operational productivity, artificial intelligence (AI), a key disruptive technology, has been increasingly employed in many industries. In this study, we examine the relationship between CSR and idiosyncratic risk (IR) as moderated by AI innovation and operational efficiency based on data from 1614 firms in China during the period from 2010 to 2017. The empirical results show that CSR can negatively affect IR, while beyond a certain level, it acts in the opposite direction, exhibiting a U‐shaped relationship. In particular, operational efficiency shifts the turning point of the U‐shaped curve to the right, implying that firms with high operational efficiency can obtain a higher optimal benefit by improving their CSR. Furthermore, AI innovation flattens the U‐shaped curve, thereby weakening CSR's positive impact on IR. This result indicates that AI innovation is not always beneficial. As AI innovation can have some substitution effect on CSR, enterprises should focus on either CSR or AI innovation as their main differentiation strategy to maximize the utilization of resources. We further instrument CSR using the social expenditure ratio of the province where the firm is headquartered to address a potential endogeneity concern. Finally, we provide several prominent managerial implications for enterprises, governments, and investors.
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