Instilling warmth in artificial intelligence? Examining publics’ responses to AI-applied corporate ability and corporate social responsibility practices
Linwan Wu, Zifei Fay Chen, Weiting Tao
- Year
- 2024
- Citations
- 29
Abstract
Through one pilot test and two main studies using experimental design, this research examines publics’ responses to the application of artificial intelligence (AI) in corporate ability (CA) and corporate social responsibility (CSR) practices. Results from Study 1 (N = 113) revealed that the application of AI in CSR practices generated greater word-of-mouth intention and purchase intention than that in CA practices, and perceived warmth of the company mediated this effect. Results from Study 2 (N = 122) replicated the results from Study 1, and further revealed the boundary conditions created by publics’ varying levels of uneasiness with robots. The more positive outcomes generated by the application of AI in CSR (vs. CA) practices were more pronounced among those with high levels of uneasiness with robots, but such an effect was not significant among those with low levels of uneasiness with robots. Findings were discussed based on interdisciplinary theoretical insights from the CA-CSR typology, HAII-TIME model, and Stereotype Content Model. Implications for public relations scholarship and practices were discussed.
Keywords
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