Xiaobo Ke
Biographic Data
| ID | 4412680 |
|---|---|
| NAME | Xiaobo Ke |
| GIVEN NAMES | Xiaobo |
| FAMILY NAME | Ke |
| SIGNATURE | KE X |
| AFFILIATIONS | City University of Hong Kong |
| ORCID | 0000-0003-2741-3983 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
From adoption to continued usage
Purpose Grounded in the decision factors classification framework, this paper examines how decision object factors, decision entity factors, and context factors combine as configurations that explain user adoption and continued usage of AI therapists. Furthermore, comparing the configurations for initial adoption and continued usage reveals three mechanisms—habit, belief updating, and belief revision—that facilitate the transition from adoption t…
What explains the next level of gaming? An experience-anticipation model for amateur esports participation
Social media engagement and family caregivers’ perceived positive aspects of caregiving
Social media enabled individual dynamic capabilities
Individuals perform various activities on social media more easily and frequently than ever before, which indeed enables them to become more adaptable and competent in changing environments. However, there are limited research and empirical evidence regarding the use of social media on the development of individual capabilities. Drawing upon media system dependency, boundary spanning and dynamic capabilities literature, this study proposes the co…
Achieving mobile social media popularity to enhance customer acquisition
Purpose The purpose of this paper is to draw on social exchange theory and heuristic–systematic model to examine how peer-to-peer (P2P) lending firms can enhance their customer acquisition by achieving mobile social media popularity. Design/methodology/approach Content data collected from multiple sources (websites and mobile applications) were employed to validate the research model. Findings The mobile social media popularity of P2P lending fir…
Social media engagement and family caregivers’ perceived positive aspects of caregiving
Achieving mobile social media popularity to enhance customer acquisition
Purpose The purpose of this paper is to draw on social exchange theory and heuristic–systematic model to examine how peer-to-peer (P2P) lending firms can enhance their customer acquisition by achieving mobile social media popularity. Design/methodology/approach Content data collected from multiple sources (websites and mobile applications) were employed to validate the research model. Findings The mobile social media popularity of P2P lending fir…
Achieving mobile social media popularity to enhance customer acquisition
Purpose The purpose of this paper is to draw on social exchange theory and heuristic–systematic model to examine how peer-to-peer (P2P) lending firms can enhance their customer acquisition by achieving mobile social media popularity. Design/methodology/approach Content data collected from multiple sources (websites and mobile applications) were employed to validate the research model. Findings The mobile social media popularity of P2P lending fir…
Social media enabled individual dynamic capabilities
Individuals perform various activities on social media more easily and frequently than ever before, which indeed enables them to become more adaptable and competent in changing environments. However, there are limited research and empirical evidence regarding the use of social media on the development of individual capabilities. Drawing upon media system dependency, boundary spanning and dynamic capabilities literature, this study proposes the co…
What explains the next level of gaming? An experience-anticipation model for amateur esports participation
Social media engagement and family caregivers’ perceived positive aspects of caregiving
From adoption to continued usage
Purpose Grounded in the decision factors classification framework, this paper examines how decision object factors, decision entity factors, and context factors combine as configurations that explain user adoption and continued usage of AI therapists. Furthermore, comparing the configurations for initial adoption and continued usage reveals three mechanisms—habit, belief updating, and belief revision—that facilitate the transition from adoption t…
Computer Science (3 works) · Political science (3 works) · Psychology (3 works) · Social media (3 works) · Digital Marketing and Social Media (2 works) · Impact of Technology on Adolescents (2 works) · Knowledge Management and Sharing (2 works) · Popularity (2 works) · Social Psychology (2 works) · Technology Adoption and User Behaviour (2 works)