The Power of Precision: How Algorithmic Monitoring and Performance Management Enhances Employee Workplace Well‐Being
H Deng, Y Lu, D Fan, W Liu… - New Technology, Work and …, 2025 - Wiley Online Library
Can algorithmic control positively impact employee well‐being in the workplace? This study
examines the potential benefits of algorithmic control, particularly through monitoring work …
examines the potential benefits of algorithmic control, particularly through monitoring work …
Bringing employee learning to AI stress research: A moderated mediation model
Q Zhou, K Chen, S Cheng - Technological Forecasting and Social Change, 2024 - Elsevier
While a substantial portion of the literature characterizes artificial intelligence (AI) stress as a
hindrance, our focus diverges by probing employee learning as an active response to this …
hindrance, our focus diverges by probing employee learning as an active response to this …
[PDF][PDF] Artificial intelligence enabled human resource management: A review and future research avenues
This paper investigates the emergent issues of Artificial intelligence intervention in
redefining the HR processes. Grounded on the Technology, Organization, and Environment …
redefining the HR processes. Grounded on the Technology, Organization, and Environment …
[HTML][HTML] Towards effective adoption of artificial intelligence in talent acquisition: A mixed method study
Artificial intelligence (AI) emerges as a promising technology to address burgeoning
challenges resulting from shifting demographics, coupled with a shortage of qualified …
challenges resulting from shifting demographics, coupled with a shortage of qualified …
Can AI be your teammate or friend? Frequent AI users are more likely to grant humanlike roles to AI
The purpose of this research was to identify the comfort levels of professionals with AI in
various humanlike roles. A survey of 787 full-time working adults showed that more active AI …
various humanlike roles. A survey of 787 full-time working adults showed that more active AI …
The double-edged sword effects of self-objectification on app workers' proactive service behavior in the gig economy
Y Wu, M Chi, Y Xu, Y Chen - Computers in Human Behavior, 2025 - Elsevier
The unique work environment characterized by repetitiveness, fragmentation, and high
reliance on instructions in app-based gig economy platforms makes their workers' self …
reliance on instructions in app-based gig economy platforms makes their workers' self …
[PDF][PDF] Impact of Artificial Intelligence (AI) on Human Resource Management (HRM)
R Gupta - International Journal For Multidisciplinary …, 2024 - pdfs.semanticscholar.org
Abstract Incorporating Artificial Intelligence (AI) into Human Resource Management (HRM)
has become a significant driving force in sha** contemporary workplaces. This paper …
has become a significant driving force in sha** contemporary workplaces. This paper …
Implementation Challenge of Artificial Intelligence in Human Resource Management for Employee Performance Monitoring Indonesia Companies Perspective
The main problem solved is to Improve Employee Performance Monitoring by Integrating
Artificial Intelligence (AI) in Human Resource Management for Indonesian Companies. The …
Artificial Intelligence (AI) in Human Resource Management for Indonesian Companies. The …
AI the Double-edged Sword: Navigating the Career Adaptability through the Parallel Mediation of Fear of Failure and Career Insecurity
AI is a new normal for the business world. It is expected to revolutionize business operations
and improve organizational performance. It can also work as a double-edged sword as it …
and improve organizational performance. It can also work as a double-edged sword as it …
[HTML][HTML] Why Do Swiss HR Departments Dislike Algorithms in Their Recruitment Process? An Empirical Analysis
G Revillod - Administrative Sciences, 2024 - mdpi.com
This study investigates the factors influencing the aversion of Swiss HRM departments to
algorithmic decision-making in the hiring process. Based on a survey provided to 324 …
algorithmic decision-making in the hiring process. Based on a survey provided to 324 …