Zhao-Yu Sun

Dr. Zhao-Yu Sun


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 April 2024 in Current Psychology
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Journal Article
Closed access
PDF file
ZSZhao-Yu Sun
Zhao-Yu Sun
Jia-Min LiJia-Min Li
Jia-Min Li
BLBo Li
Bo Li
XHXin-Yi He
Xin-Yi He

1 February 2024 in Current Psychology
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Journal Article
Closed access
PDF file
LMLiang Meng
Liang Meng
XZXiao-Fei Zhang
Xiao-Fei Zhang
Jia-Min LiJia-Min Li
Jia-Min Li
ZSZhao-Yu Sun
Zhao-Yu Sun

8 August 2024 in Chinese Management Studies
Verified
Journal Article
Closed access
ZSZhao-Yu Sun
Zhao-Yu Sun
XZXue Zhong
Xue Zhong
LMLiang Meng
Liang Meng
YZYu-Yan Zhao
Yu-Yan Zhao
Purpose: This study aims to provide a nuanced understanding of the relationship between task-technology fit and employee innovative behavior, as well as the role of creative self-expectations. Design/methodology/approach: Hierarchical regression analysis was used to test the proposed multilevel model on a sample of 407 employees working in Chinese companies. Findings: Task-technology fit stimulates employee innovative behavior through the regulation of creative self-expectations and positive emotions. When creative self-expectations is low, the promoting effect of task-technology fit on innovative behavior is enhanced. However, when creative self-expectations is too high, this effect is reversed due to employees’ preference for challenging and complex work. Practical implications: In the process of enterprise digital transformation, managers should not only focus on the alignment between employees' skills and individual task expectations, but also pay attention to employees' emotions and individual trait differences, to enhance the likelihood of innovative behavior occurrence and achieve successful enterprise digital transformation. Originality/value: This study enriches the research on task-technology fit and provides recommendations for organizations to achieve digital transformation.

15 October 2024 in Asia Pacific Journal of Human Resources
Verified
Journal Article
Closed access
XHXin‐Jie Huang
Xin‐Jie Huang
ZSZhao-Yu Sun
Zhao-Yu Sun
Jia-Min LiJia-Min Li
Jia-Min Li
JLJia‐Hua Li
Jia‐Hua Li

26 September 2025 in Information Technology & People
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Journal Article
Closed access
ZPZhao Pu
Zhao Pu
ZSZhao-Yu Sun
Zhao-Yu Sun
Jia-Min LiJia-Min Li
Jia-Min Li
XCXue Chang
Xue Chang
Purpose: This study aims to explore the mechanism of how gig work challenges affect work withdrawal behaviors, specifically examining the chain mediation effects of gig work challenges on perceived time poverty, job satisfaction and work withdrawal behaviors as well as the moderating role of decent work. Design/methodology/approach: A mixed-methods approach was employed. There was a scenario experiment involving 120 gig workers and multiple surveys with 506 employees from different organizations. Findings: Gig work challenges positively impact work withdrawal behaviors. Perceived time poverty mediates between gig work challenges and job satisfaction and job satisfaction mediates between perceived time poverty and work withdrawal behaviors. Besides, there is an inverse relationship between perceived time poverty and job satisfaction, and they play a mediating role in the linkage between gig work challenges and work withdrawal behaviors. Also, decent work has a moderating role. Originality/value: This study delineates the sequential mediating effects of perceived time poverty and job satisfaction on the relationship between gig work challenges and withdrawal behaviors, advancing scholarly understanding in gig economy management. The study adapts the job demands-resources model to the gig context, elucidating psychological and organizational aspects and showcasing the model’s applicability.