AI-induced behaviors: bridging proactivity and deviance through motivational insights DOI

Xin-Qian Ding,

Hui Chen, Jie Liu

и другие.

Journal of Managerial Psychology, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

Purpose Drawing on the approach-avoidance framework, this paper examines effects of artificial intelligence (AI) usage employee proactive behavior and deviant by focusing mediating role AI-related approach motivation avoidance motivation. Design/methodology/approach Time-lagged data were collected using a field survey research design. The participants included 587 employees from over dozen Internet companies, technology firms, intelligent medical smart city companies in Beijing Hebei, China. Findings AI is positively related to both In addition, mediates positive relationship between behavior, behavior. Originality/value First, double-edged sword effect usage, reconciling contradictory findings previous providing more comprehensive balanced perspective for understanding impacts employees. Second, identified as two novel outcomes usage. Third, further extends application framework management literature.

Язык: Английский

Does human-AI collaboration promote or hinder employees’ safety performance? A job demands-resources perspective DOI
Yunshuo Liu, Yanbin Li

Safety Science, Год журнала: 2025, Номер 188, С. 106872 - 106872

Опубликована: Апрель 11, 2025

Язык: Английский

Процитировано

0

How Employee Career Sustainability Affects Innovative Work Behavior under Digitalization DOI Open Access
Wei Zhang, Tachia Chin

Sustainability, Год журнала: 2024, Номер 16(9), С. 3541 - 3541

Опубликована: Апрель 24, 2024

The increasing adoption of cutting-edge technologies, such as cloud computing and machine learning by robots that replace human workers, has posed serious challenges to employees’ career sustainability (CS), affecting their innovative work behavior (IWB). As the digitalization workplace continues progress normal, further investigations into relationship between CS IWB are urgently required. In response, we investigate relationships among CS, IWB, capital (HC), user resistance (UR). Using data collected from 537 employees in Chinese high-tech enterprises, structural equation regression analyses were performed. Our results reveal (1) three dimensions (career renewability, flexibility, integrity) positively related while fourth dimension resourcefulness) exerts inverted U-shaped influences on (2) there is a significant dual moderating effect UR HC four with former demonstrating negative latter showing positive effect. These findings offer valuable insights for global managers policymakers more appropriately implement HR practices this highly competitive international market. Adopting conservation resources theory (COR) framework Job Demands–Resources model (JD-R), theoretically elucidate how different serve personal digitalized context, thereby enriching literature development.

Язык: Английский

Процитировано

4

Embracing the AI/automation age: preparing your workforce for humans and machines working together DOI
Emmanuel Senior Tenakwah, Chrystie Watson

Strategy and Leadership, Год журнала: 2024, Номер unknown

Опубликована: Дек. 13, 2024

Purpose This paper aims to highlight the crucial role of strategic human resource management and leadership in preparing workforces for artificial intelligence (AI) automation age. Design/methodology/approach The adopts a conceptual approach, reviewing existing literature, drawing insights from industry experts, real-world examples develop framework sustaining AI era. Findings finds that successfully integrating workforce requires proactive approach HR leaders, emphasising critical importance aligning strategies with overall business goals through planning. Developing an AI-literate adaptable is embracing AI-driven changes, necessitating creation new AI-centric roles career pathways, innovative job models, comprehensive upskilling programs. must act as translator between humans machines, fostering seamless collaboration, addressing cultural ethical implications, leading charge. Research limitations/implications relies primarily on arguments anecdotal evidence experts. Practical implications provides actionable leaders foster sustainable transitions within workforces. Social highlights potential social such displacement concerns need reskilling initiatives. It emphasises proactively these clear communication, security measures, learning development opportunities. Originality/value offers fresh perspective era, positioning enablers human-machine collaboration. synthesises various sources provide preparation, adoption

Язык: Английский

Процитировано

4

Exploring the Role of Team Leisure Sports in Enhancing Occupational Commitment and Sustainability Among Construction Workers: A Focus on Team Cohesion DOI Creative Commons

Xiaorui Wang,

Xiaolong Chen, Hongfeng Zhang

и другие.

Buildings, Год журнала: 2025, Номер 15(4), С. 522 - 522

Опубликована: Фев. 8, 2025

In the context of high turnover rates in construction industry, team leisure sports activities have been increasingly promoted, with growing attention on their potential impact sustainability workers’ occupational commitment. However, there is a lack systematic research mechanism through which promote This study explores how enhance commitment mediating effect cohesion, integrating perspectives from social psychology and organizational behavior. Data were collected 509 Chinese workers using structured questionnaire. The results revealed following: (1) Four dimensions experience—social interaction quality, emotional engagement, culture perception, work pressure relief—positively affected to sustainability. (2) Team cohesion mediated relationship between experience provides insights into career industry highlights importance enhancing professional findings offer practical implications for optimizing team-building human resource management strategies, focus retaining employees industry.

Язык: Английский

Процитировано

0

AI-induced behaviors: bridging proactivity and deviance through motivational insights DOI

Xin-Qian Ding,

Hui Chen, Jie Liu

и другие.

Journal of Managerial Psychology, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

Purpose Drawing on the approach-avoidance framework, this paper examines effects of artificial intelligence (AI) usage employee proactive behavior and deviant by focusing mediating role AI-related approach motivation avoidance motivation. Design/methodology/approach Time-lagged data were collected using a field survey research design. The participants included 587 employees from over dozen Internet companies, technology firms, intelligent medical smart city companies in Beijing Hebei, China. Findings AI is positively related to both In addition, mediates positive relationship between behavior, behavior. Originality/value First, double-edged sword effect usage, reconciling contradictory findings previous providing more comprehensive balanced perspective for understanding impacts employees. Second, identified as two novel outcomes usage. Third, further extends application framework management literature.

Язык: Английский

Процитировано

0