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"In the rapidly evolving landscape of digital governance, government chatbots have emerged as pivotal tools in reshaping interactions between citizens and public institutions. As governments increasingly adopt AI-driven solutions to streamline services, these chatbots play a crucial role in transitioning from traditional, human-centric consultations to more efficient, automated processes. Understanding how these AI systems impact user satisfaction and effectiveness is essential for optimizing digital government platforms and ensuring they meet the nuanced needs of contemporary societies. Digital Government and Public Interaction: Platforms, Chatbots, and Public Satisfaction delves into the transformative role of AI-driven chatbots in modern government services. It examines the shift from traditional human consultations to digital interactions, focusing on how these changes impact public satisfaction. This publication advances understanding of AI-driven services and integrates theories from public administration, sociology, psychology, and information management. Additionally, the book provides practical insights for government agencies to enhance digital services, improve response quality, and better address public needs. By analyzing both the supply-side efforts of government and the diverse demands of users, this book will prove to be a valuable resource for academic researchers, government practitioners, educators, and professionals."--

"As the digital government field continues to evolve rapidly, scholars and professionals must stay ahead of the curve by developing innovative solutions and gaining comprehensive insights. The global landscape of digital governance is undergoing transformative shifts, necessitating a deep understanding of historical developments, current practices, and emerging trends. This urgent demand for knowledge forms the crux of the problem that the book, Emerging Developments and Technologies in Digital Government, addresses with expert knowledge and insights.The book serves as an indispensable resource for academic scholars grappling with the complexities of digital government. It critically examines historical transitions from technology-centric paradigms to people-centric models, shedding light on the global impact of open data initiatives and the vital role of human-computer interaction in reshaping government websites. For professionals and researchers across disciplines such as library sciences, administrative management, sociology, and information technology, this book becomes a beacon, offering insights and tangible solutions to navigate the multifaceted dimensions of digital government."--

The competition between government-provided apps and business-provided apps for active users in China is becoming increasingly fierce. Apps with higher user activity will win this competition. To maintain active users, finding the user activity influencing factors is crucial. In this study, we selected a government-provided app—"Beijing One Card"- and a business-provided app—"Bus Code" (the Beijing area) -in the field of public transportation as the comparative research objects. Based on multiple regression analysis, we explored the factors influencing user activity. We found user preference plays a critical role in distinguishing the influencing factors of user activity between two kinds of apps. Distinct from the existing research, the service quality does not affect the user activity of public transportation apps. This paper argues that, whether it is a government-provided app or a business-provided app, to enhance the user activity of the app, in the short term, it is necessary to improve the app function according to the user's needs, try to provide services which user like, cater to user's preference, strengthen user experience; In the long run, it is essential to pay attention to mining the user's data accumulated while operating the app to understand user behavior. So as to affect the user's preference, enhance user's trust, and improve user participation through public policy.

The purpose of this study is to examine the influence of empowerment and innovation climates on employees' innovative use of information systems (IS) and the mechanisms through which the climates affect employees' innovative IS use. Drawing on the thriving theory, this study proposes a hierarchical research model that links team-level climates, individual-level thriving, and employees' innovative IS use in an integral model. In total, 174 copies of questionnaires from 38 teams were collected from ERP users of nine firms in China. The empirical results suggest that team innovation climate and team empowerment climate are positively related to innovative IS use. Thriving plays a fully mediating role between team empowerment climate and innovative IS use and a partially mediating role between the team innovation climate and innovative IS use. The findings of this study could provide guidelines for managers on how to promote IS users' innovative use from the perspectives of team climates.

PurposeThis study aims to examine the relative effectiveness of functional and financial remedies in influencing customers' negative coping responses in the event of a data breach. It also uncovers the different mediating roles played by customers' feelings of anger and fear in the process of data breach recovery. This study thus differs from the literature, which has primarily focused on the impact of financial compensation and apologies for service failures in face-to-face environments.Design/methodology/approachTwo scenario-based experiments were conducted to empirically validate the model. The authors received 302 copies of the questionnaire, of which 269 were valid.FindingsThis study finds that functional remedies are more effective than financial remedies when sensitive information has been compromised, but there is no significant difference between the effectiveness of the two remedies when nonsensitive information has been compromised. In addition, functional remedies influence negative coping behaviors directly and indirectly; the indirect effect is achieved through the reduction of fear and anger. Contrary to the authors' expectation, financial remedies do not have a direct effect on negative coping behaviors; they can indirectly affect negative coping behaviors by reducing anger but do not affect negative coping behaviors by reducing fear.Practical implicationsThis study provides key insights into how to manage customer reactions in the event of a data breach, suggesting the use of carefully designed recovery strategies. Companies must attend to customers' specific emotional responses to manage their negative coping behaviors.Originality/valueThis study extends the limited literature on data breach recovery actions by investigating the different effectiveness of functional and financial remedies in the event of a data breach. It also uncovers how functional and financial recovery strategies affect customers' negative coping behaviors by revealing the different mediating effects of fear and anger.

PurposeThis study examines how the different dimensions of a privacy policy separately influence perceived effectiveness of privacy policy, as well as the mediating mechanisms behind these effects (i.e. vulnerability, benevolence). In addition, this study considers privacy concern as a significant moderator in the research model, to examine if the relative influences of privacy policy content are contingent upon levels of users' privacy concern.Design/methodology/approachThe survey experiment was conducted to empirically validate the model. Specifically, three survey experiments and six scenarios were designed to manipulate high and low levels of the three privacy policy dimensions (i.e. transparency, control and protection). The authors totally distributed 450 copies of the questionnaire, of which 407 were valid.FindingsThis paper found that (1) all the three privacy policy dimensions directly influence perceived effectiveness of privacy policy; (2) all the three privacy policy dimensions indirectly influence perceived effectiveness of privacy policy by enhancing perceived corporate benevolence, whereas control also affects perceived effectiveness of privacy policy by reducing perceived vulnerability; and (3) individuals with high-privacy concern are much more impacted by privacy policy contents than individuals with low-privacy concern.Practical implicationsThe findings could provide website managers with guidelines on how to design privacy policy contents by reducing user perceptions of vulnerability and enhancing user perceptions of corporate benevolence. The managers need to focus on customers' perceived vulnerability and corporate benevolence when launching or updating privacy policies. Furthermore, the managers also need to attend to users' privacy concerns, especially for multinational companies or companies with specific consumer groups.Originality/valueThis study extends the current privacy policy literature by articulating the separate influences of the three privacy policy dimensions and their impact mechanisms on perceived effectiveness of privacy policy. It also uncovers privacy concerns as a boundary condition that influence the effects of privacy policy contents on users' privacy perceptions.