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Weimo Li

Biographic Data

ID6628286
NAMEWeimo Li
GIVEN NAMESWeimo
FAMILY NAMELi
SIGNATURELI W
AFFILIATIONSHuazhong University of Science and Technology
ORCID0000-0001-8195-7733
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS1
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Human-centric sustainability in organizations

    Open Access•Jing Zhou, Yaobin Lu et al.•ARTICLE•Telecommunications Policy•2026

  • Ambidextrous use of intelligent personal assistants

    Mengyuan Wang, Yaobin Lu et al.•ARTICLE•Internet Research•2025•References: 9

    Purpose The ambidextrous use of intelligent personal assistants (IPAs) plays a vital role in realizing their benefits. After adopting IPAs, users need to unlearn traditional mindsets and habits to adapt to them. This study aims to examine the effects of users’ unlearning on ambidextrous IPA use and the moderating effects of IT self-efficacy. Design/methodology/approach Based on the coping model of user adaptation, we conducted a survey and employ…

  • Work engagement of online car-hailing drivers

    Open Access•Weimo Li, Yaobin Lu et al.•ARTICLE•Information Technology and People•2024

    Purpose Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to exam…

  • How transparency affects algorithmic advice utilization

    Open Access•Xianzhang Ning, Yaobin Lu et al.•ARTICLE•Decision Support Systems•2024

  • Users' subsequent innovation after organizational adoption

    Open Access•Weimo Li, Yaobin Lu et al.•ARTICLE•Internet Research•2022•Cited by: 1•References: 1

    Purpose In online user innovation communities (UICs), firms adopt external innovations beyond their internal resources and capabilities. However, little is known about the influences of organizational adoption or detailed adoption patterns on subsequent user innovation. This study aims to examine the influence of organizational adoption, including its level and timing, on users' subsequent innovation behavior and performance. Design/methodology/a…

  • Users' subsequent innovation after organizational adoption

    Open Access•Weimo Li, Yaobin Lu et al.•ARTICLE•Internet Research•2022•Cited by: 1•References: 1

    Purpose In online user innovation communities (UICs), firms adopt external innovations beyond their internal resources and capabilities. However, little is known about the influences of organizational adoption or detailed adoption patterns on subsequent user innovation. This study aims to examine the influence of organizational adoption, including its level and timing, on users' subsequent innovation behavior and performance. Design/methodology/a…

  • Users' subsequent innovation after organizational adoption

    Open Access•Weimo Li, Yaobin Lu et al.•ARTICLE•Internet Research•2022•Cited by: 1•References: 1

    Purpose In online user innovation communities (UICs), firms adopt external innovations beyond their internal resources and capabilities. However, little is known about the influences of organizational adoption or detailed adoption patterns on subsequent user innovation. This study aims to examine the influence of organizational adoption, including its level and timing, on users' subsequent innovation behavior and performance. Design/methodology/a…

  • Work engagement of online car-hailing drivers

    Open Access•Weimo Li, Yaobin Lu et al.•ARTICLE•Information Technology and People•2024

    Purpose Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to exam…

  • How transparency affects algorithmic advice utilization

    Open Access•Xianzhang Ning, Yaobin Lu et al.•ARTICLE•Decision Support Systems•2024

  • Ambidextrous use of intelligent personal assistants

    Mengyuan Wang, Yaobin Lu et al.•ARTICLE•Internet Research•2025•References: 9

    Purpose The ambidextrous use of intelligent personal assistants (IPAs) plays a vital role in realizing their benefits. After adopting IPAs, users need to unlearn traditional mindsets and habits to adapt to them. This study aims to examine the effects of users’ unlearning on ambidextrous IPA use and the moderating effects of IT self-efficacy. Design/methodology/approach Based on the coping model of user adaptation, we conducted a survey and employ…

  • Human-centric sustainability in organizations

    Open Access•Jing Zhou, Yaobin Lu et al.•ARTICLE•Telecommunications Policy•2026

Computer Science (3 works) · Psychology (3 works) · AI in Service Interactions (2 works) · Originality (2 works) · Sharing Economy and Platforms (2 works) · Social Psychology (2 works) · Technology Adoption and User Behaviour (2 works) · Business (1 work) · Computer security (1 work) · Creativity (1 work)

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