The impact of instrumental attribution in AI-enabled monitoring on counterproductive work behavior
AI-enabled monitoring tools are theoretically expected to suppress unethical employee behavior. However, in practice, employees may perceive such monitoring as being driven by leaders' instrumental motives, primarily focused on personal performance evaluation and self-interest. This perception...
Saved in:
Main Author: | ZHANG, Qiang |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/etd_coll/655 https://ink.library.smu.edu.sg/context/etd_coll/article/1653/viewcontent/博_学位论__GPBF_AY2024_PhD_ZhangQiang.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Strategies for reducing employee turnover and increasing retention rates of quantity surveyors
by: Hee, C.H.S., et al.
Published: (2013) -
Improving employee morale in the new normal through sustainable employee engagement in institutional banking
by: Arcega, Winia Angelica
Published: (2021) -
Utilizing mentoring program in addressing low level morale among the career consultants
by: Cruz, Jakielyn Anne O.
Published: (2018) -
Strategies for performance improvement used by aircon manufacturers
by: Almogino, Meidana G., et al.
Published: (1991) -
Employee turnover likelihood and earnings management : evidence from the inevitable disclosure doctrine
by: Gao, Huasheng, et al.
Published: (2019)