This study investigated the determinants of public sector managers' intentions to adopt artificial intelligence (AI) systems within their organizations. An extended technology acceptance model (TAM)... Show More

This study investigated the determinants of public sector managers' intentions to adopt artificial intelligence (AI) systems within their organizations. An extended technology acceptance model (TAM) was developed, incorporating additional constructs including fairness, humanity, reliability, safety, transparency, accountability, privacy, security, trust, social norms, tolerance, impact, and isomorphic pressure. A survey was conducted among 330 public sector managers, and the data were analyzed using linear regression tests to evaluate the model. The results showed significant positive influences of both perceived usefulness and perceived impact on managers' attitudes and behavioral intentions toward AI adoption. Isomorphic pressure was also a significant determinant of managers' behavioral intentions toward adopting AI systems. Our findings also indicated that perceptions related to AI ethical principles, such as transparency, privacy, and security, influenced managers' trust in AI systems.

Previous research has explored the interactions between public leaders and citizens through social media channels. However, there is a gap in our understanding regarding the communication of limited... Show More

Previous research has explored the interactions between public leaders and citizens through social media channels. However, there is a gap in our understanding regarding the communication of limited information to the public during times of crisis. This study focuses on the initial phase of the COVID-19 pandemic as a crisis scenario and investigates how state governors utilized Twitter to communicate with the public, as well as the subsequent impact on citizens' responses. Employing computational social science techniques, this research analyzes a dataset comprising 47,831 tweets posted by U.S. state governors during the first six months of the COVID-19 pandemic, spanning from March to August 2020. The results affirm the crucial role of social media in crisis communication and offer insights into effective social media strategies for public communication.