Xusen Cheng
Biographic Data
| ID | 4157272 |
|---|---|
| NAME | Xusen Cheng |
| GIVEN NAMES | Xusen |
| FAMILY NAME | Cheng |
| SIGNATURE | CHENG X |
| AFFILIATIONS | Renmin University of China |
| ORCID | 0000-0002-5218-4628 |
| VERIFIED | Yes |
| TOTAL WORKS | 23 |
| TOTAL CITATIONS | 52 |
| AUTHOR COUNT | 23 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Collaborating with an Imperfect AI: The Effects of AI Misinformation on Team Situation Models and Individual Contribution
Looking at and feeling the Metaverse: How spatial priming influences trust in collaborative virtual environments through situated cognition
Understanding cyberloafing in video-conferencing-enabled online learning: A resource-based perspective
Inspiration booster or creative fixation? The dual mechanisms of LLMs in shaping individual creativity in tasks of different complexity
The emergence of large language models (LLMs) presents opportunities for stimulating unlimited creative potential. However, how LLMs influence individual creativity remains unclear. Therefore, this paper examines the dual-opposing mechanisms through which LLMs influence individual creativity. In Experiment 1, each participant collaborated with a human partner or a general, unconstrained LLM partner to complete creative tasks. The results showed t…
Achieving Employees’ Agile Response in E-Governance: Exploring the Synergy of Technology and Group Collaboration
The transformation of technology and collaboration methods driven by the e-government system forces government employees to reconsider their daily workflow and collaboration with colleagues. Despite the extensive existing knowledge of technology usage and collaboration, there are limitations in explaining the synergy between technology usage and group collaboration in achieving agile response from the perspective of government employees, particul…
Are you caught in the dilemma of metaverse avatars? The impact of individuals' congruity perceptions on paradoxical emotions and actual behaviors
Investigating the antecedents and consequences of trust in ChatGPT across cultures: A learner-centric perspective
Purpose Due to ChatGPT’s relative novelty, the determinants and consequences of trust in it remain largely unexplored, especially in the field of higher education. This research investigates how perceptions of AI can foster university students’ trust in ChatGPT, which in turn leads to their continuance and sharing intentions. Cross-cultural differences are also analyzed to provide culturally relevant insights. Design/methodology/approach A mixed-…
Understanding streamers’ intention to live stream in the context of rural live streaming commerce: A mixed-methods study
Purpose The emergence of live streaming commerce has injected promising impetus into rural development and attracted many rural streamers. This study aims to explore the influencing factors of rural streamers’ engagement intentions to help promote the sustainable development of rural live streaming commerce. Design/methodology/approach Grounded in the extended valence framework, this research employs a mixed-methods approach encompassing both qua…
Passengers as defenders: Unveiling the role of customer-company identification in the trust-customer citizenship behaviour relationship within ride-hailing context
Ride-hailing platforms such as Didi, Uber, and Lyft have changed the travel industry. Promoting the passengers' trust in platform and customer citizenship behaviour (CCB) is both challenging and important. This study employed a mixed-methods design, consisting of 21 interviews and 351 online surveys, to develop and examine the trust-CCB model in the ride-hailing context. Our findings reveal that platforms can foster passengers' trust by sending s…
How emotions affect the outcomes of information overload: Information Avoidance or Information Consumption
Purpose Information overload has become ubiquitous during a public health emergency. The research purpose is to examine the role of mixed emotions in the influence of perceived information overload on individuals’ information avoidance intention and the state of fear of missing out. Design/methodology/approach A mixed-methods approach was used in this study: a qualitative study of 182 semi-structured interviews and a quantitative study of 309 sur…
Investigating Students’ Satisfaction with Online Collaborative Learning During the Covid-19 Period: An Expectation-Confirmation Model
Hue, brightness, saturation, and caption description: Which attributes impact listing preferences on digital accommodation platforms
Purpose Images and caption descriptions serve as important visual stimuli that influence consumer preferences; therefore, the current study focuses on property images and captions illustrated on the home pages of accommodation-sharing platforms. Specifically, this study investigates the relative importance of hue, brightness and saturation of a property image and caption description styles on potential consumers’ preferences. Design/methodology/a…
An investigation on the influencing factors of elderly people's intention to use financial AI customer service
Purpose With the great changes brought by information technology, there is also a challenge for the elderly's acceptance. This study aimed to determine the antecedents of elderly people's usage intention of financial artificial intelligent customer service (FAICS) and to examine the relationships between various factors and thus to help them better adapt to the digital age. Design/methodology/approach A mixed method, including the qualitative and…
Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms
Understanding Users' Group Behavioral Decisions About Sharing Articles in Social Media: An Elaboration Likelihood Model Perspective
The role of transaction cost and trust in e-loyalty: A mixed-methods study of ride-sharing
Purpose The purpose of this paper is to explore the trust antecedents and the effect of trust and transaction cost on passengers' e-loyalty in the context of mobile commerce enabled ride-sharing. Design/methodology/approach A mixed-methods research is adopted to investigate the phenomena of interest. The qualitative study was used to identify the context-specific trust antecedents. The quantitative study investigated the effects of trust and tran…
Using Collaboration Engineering to Mitigate Low Participation, Distraction, and Learning Inefficiency to Support Collaborative Learning in Industry
Trust and Group Efficiency in Multinational Virtual Team Collaboration: A Longitudinal Study
Exploring consumers' response to text-based chatbots in e-commerce: The moderating role of task complexity and chatbot disclosure
Purpose Artificial intelligence (AI)-based chatbots have brought unprecedented business potential. This study aims to explore consumers' trust and response to a text-based chatbot in e-commerce, involving the moderating effects of task complexity and chatbot identity disclosure. Design/methodology/approach A survey method with 299 useable responses was conducted in this research. This study adopted the ordinary least squares regression to test th…
Artificial intelligence and deep learning in educational technology research and practice
Leveraging personality information to improve community recommendation in e‐learning platforms
E‐learning platforms are becoming more and more important and they are gradually changing people’s learning ways. In the e‐learning platforms, users actively create and join their favorite communities to share their questions and ideas. With the increase of users of e‐learning platforms, the number of communities is increasing dramatically. In this context, it has become difficult for users to find learning communities that match their interests …
Staying in a hotel or peer-to-peer accommodation sharing? A discrete choice experiment with online reviews and discount strategies
Purpose This study aims to elicit the preferences of potential travelers for different property listings' attributes (online review number, positive valence rate of reviews and discount strategy) when selecting hotels and peer-to-peer (P2P) accommodation sharing on online booking platforms. Design/methodology/approach A discrete choice experiment (DCE) was conducted with 291 respondents with accommodation needs. They were asked to choose between …
An investigation on online reviews in sharing economy driven hospitality platforms: A viewpoint of trust
An investigation on online reviews in sharing economy driven hospitality platforms: A viewpoint of trust
Exploring consumers' response to text-based chatbots in e-commerce: The moderating role of task complexity and chatbot disclosure
Purpose Artificial intelligence (AI)-based chatbots have brought unprecedented business potential. This study aims to explore consumers' trust and response to a text-based chatbot in e-commerce, involving the moderating effects of task complexity and chatbot identity disclosure. Design/methodology/approach A survey method with 299 useable responses was conducted in this research. This study adopted the ordinary least squares regression to test th…
Staying in a hotel or peer-to-peer accommodation sharing? A discrete choice experiment with online reviews and discount strategies
Purpose This study aims to elicit the preferences of potential travelers for different property listings' attributes (online review number, positive valence rate of reviews and discount strategy) when selecting hotels and peer-to-peer (P2P) accommodation sharing on online booking platforms. Design/methodology/approach A discrete choice experiment (DCE) was conducted with 291 respondents with accommodation needs. They were asked to choose between …
How emotions affect the outcomes of information overload: Information Avoidance or Information Consumption
Purpose Information overload has become ubiquitous during a public health emergency. The research purpose is to examine the role of mixed emotions in the influence of perceived information overload on individuals’ information avoidance intention and the state of fear of missing out. Design/methodology/approach A mixed-methods approach was used in this study: a qualitative study of 182 semi-structured interviews and a quantitative study of 309 sur…
An investigation on the influencing factors of elderly people's intention to use financial AI customer service
Purpose With the great changes brought by information technology, there is also a challenge for the elderly's acceptance. This study aimed to determine the antecedents of elderly people's usage intention of financial artificial intelligent customer service (FAICS) and to examine the relationships between various factors and thus to help them better adapt to the digital age. Design/methodology/approach A mixed method, including the qualitative and…
Passengers as defenders: Unveiling the role of customer-company identification in the trust-customer citizenship behaviour relationship within ride-hailing context
Ride-hailing platforms such as Didi, Uber, and Lyft have changed the travel industry. Promoting the passengers' trust in platform and customer citizenship behaviour (CCB) is both challenging and important. This study employed a mixed-methods design, consisting of 21 interviews and 351 online surveys, to develop and examine the trust-CCB model in the ride-hailing context. Our findings reveal that platforms can foster passengers' trust by sending s…
An investigation on online reviews in sharing economy driven hospitality platforms: A viewpoint of trust
Artificial intelligence and deep learning in educational technology research and practice
Leveraging personality information to improve community recommendation in e‐learning platforms
E‐learning platforms are becoming more and more important and they are gradually changing people’s learning ways. In the e‐learning platforms, users actively create and join their favorite communities to share their questions and ideas. With the increase of users of e‐learning platforms, the number of communities is increasing dramatically. In this context, it has become difficult for users to find learning communities that match their interests …
Staying in a hotel or peer-to-peer accommodation sharing? A discrete choice experiment with online reviews and discount strategies
Purpose This study aims to elicit the preferences of potential travelers for different property listings' attributes (online review number, positive valence rate of reviews and discount strategy) when selecting hotels and peer-to-peer (P2P) accommodation sharing on online booking platforms. Design/methodology/approach A discrete choice experiment (DCE) was conducted with 291 respondents with accommodation needs. They were asked to choose between …
The role of transaction cost and trust in e-loyalty: A mixed-methods study of ride-sharing
Purpose The purpose of this paper is to explore the trust antecedents and the effect of trust and transaction cost on passengers' e-loyalty in the context of mobile commerce enabled ride-sharing. Design/methodology/approach A mixed-methods research is adopted to investigate the phenomena of interest. The qualitative study was used to identify the context-specific trust antecedents. The quantitative study investigated the effects of trust and tran…
Using Collaboration Engineering to Mitigate Low Participation, Distraction, and Learning Inefficiency to Support Collaborative Learning in Industry
Trust and Group Efficiency in Multinational Virtual Team Collaboration: A Longitudinal Study
Exploring consumers' response to text-based chatbots in e-commerce: The moderating role of task complexity and chatbot disclosure
Purpose Artificial intelligence (AI)-based chatbots have brought unprecedented business potential. This study aims to explore consumers' trust and response to a text-based chatbot in e-commerce, involving the moderating effects of task complexity and chatbot identity disclosure. Design/methodology/approach A survey method with 299 useable responses was conducted in this research. This study adopted the ordinary least squares regression to test th…
Human vs. AI: Understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms
Understanding Users' Group Behavioral Decisions About Sharing Articles in Social Media: An Elaboration Likelihood Model Perspective
Investigating Students’ Satisfaction with Online Collaborative Learning During the Covid-19 Period: An Expectation-Confirmation Model
Hue, brightness, saturation, and caption description: Which attributes impact listing preferences on digital accommodation platforms
Purpose Images and caption descriptions serve as important visual stimuli that influence consumer preferences; therefore, the current study focuses on property images and captions illustrated on the home pages of accommodation-sharing platforms. Specifically, this study investigates the relative importance of hue, brightness and saturation of a property image and caption description styles on potential consumers’ preferences. Design/methodology/a…
An investigation on the influencing factors of elderly people's intention to use financial AI customer service
Purpose With the great changes brought by information technology, there is also a challenge for the elderly's acceptance. This study aimed to determine the antecedents of elderly people's usage intention of financial artificial intelligent customer service (FAICS) and to examine the relationships between various factors and thus to help them better adapt to the digital age. Design/methodology/approach A mixed method, including the qualitative and…
How emotions affect the outcomes of information overload: Information Avoidance or Information Consumption
Purpose Information overload has become ubiquitous during a public health emergency. The research purpose is to examine the role of mixed emotions in the influence of perceived information overload on individuals’ information avoidance intention and the state of fear of missing out. Design/methodology/approach A mixed-methods approach was used in this study: a qualitative study of 182 semi-structured interviews and a quantitative study of 309 sur…
Inspiration booster or creative fixation? The dual mechanisms of LLMs in shaping individual creativity in tasks of different complexity
The emergence of large language models (LLMs) presents opportunities for stimulating unlimited creative potential. However, how LLMs influence individual creativity remains unclear. Therefore, this paper examines the dual-opposing mechanisms through which LLMs influence individual creativity. In Experiment 1, each participant collaborated with a human partner or a general, unconstrained LLM partner to complete creative tasks. The results showed t…
Achieving Employees’ Agile Response in E-Governance: Exploring the Synergy of Technology and Group Collaboration
The transformation of technology and collaboration methods driven by the e-government system forces government employees to reconsider their daily workflow and collaboration with colleagues. Despite the extensive existing knowledge of technology usage and collaboration, there are limitations in explaining the synergy between technology usage and group collaboration in achieving agile response from the perspective of government employees, particul…
Are you caught in the dilemma of metaverse avatars? The impact of individuals' congruity perceptions on paradoxical emotions and actual behaviors
Investigating the antecedents and consequences of trust in ChatGPT across cultures: A learner-centric perspective
Purpose Due to ChatGPT’s relative novelty, the determinants and consequences of trust in it remain largely unexplored, especially in the field of higher education. This research investigates how perceptions of AI can foster university students’ trust in ChatGPT, which in turn leads to their continuance and sharing intentions. Cross-cultural differences are also analyzed to provide culturally relevant insights. Design/methodology/approach A mixed-…
Understanding streamers’ intention to live stream in the context of rural live streaming commerce: A mixed-methods study
Purpose The emergence of live streaming commerce has injected promising impetus into rural development and attracted many rural streamers. This study aims to explore the influencing factors of rural streamers’ engagement intentions to help promote the sustainable development of rural live streaming commerce. Design/methodology/approach Grounded in the extended valence framework, this research employs a mixed-methods approach encompassing both qua…
Passengers as defenders: Unveiling the role of customer-company identification in the trust-customer citizenship behaviour relationship within ride-hailing context
Ride-hailing platforms such as Didi, Uber, and Lyft have changed the travel industry. Promoting the passengers' trust in platform and customer citizenship behaviour (CCB) is both challenging and important. This study employed a mixed-methods design, consisting of 21 interviews and 351 online surveys, to develop and examine the trust-CCB model in the ride-hailing context. Our findings reveal that platforms can foster passengers' trust by sending s…
Collaborating with an Imperfect AI: The Effects of AI Misinformation on Team Situation Models and Individual Contribution
Looking at and feeling the Metaverse: How spatial priming influences trust in collaborative virtual environments through situated cognition
Understanding cyberloafing in video-conferencing-enabled online learning: A resource-based perspective
Computer Science (17 works) · Psychology (14 works) · Digital Marketing and Social Media (9 works) · Social Psychology (9 works) · Business (8 works) · World Wide Web (7 works) · Sharing Economy and Platforms (6 works) · Knowledge management (5 works) · Social Psychology (5 works) · Advertising (4 works)