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

Artificial intelligence digital employees and sustainable innovation in online retail: The mediating role of ambidextrous green innovation and the moderating role of ethical anxiety DOI
Shaofeng Wang, Hao Zhang

Journal of Retailing and Consumer Services, Год журнала: 2025, Номер 84, С. 104235 - 104235

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

0

Insights from the Job Demands–Resources Model: AI's dual impact on employees’ work and life well-being DOI Creative Commons
Ya-Ting Chuang, Hua-Ling Chiang,

An-Pan Lin

и другие.

International Journal of Information Management, Год журнала: 2025, Номер 83, С. 102887 - 102887

Опубликована: Фев. 22, 2025

Язык: Английский

Процитировано

0

Blind scouting: using artificial intelligence to alleviate bias in selection DOI
Louis-Étienne Dubois, Laurel Walzak

Personnel Review, Год журнала: 2025, Номер unknown

Опубликована: Фев. 26, 2025

Purpose Talent scouting is recognized as a vital activity for professional sports organizations to establish competitive advantage on the field. It remains, however, an imperfect science marred with bias and stereotypes. Technology – such data analytics artificial intelligence (AI) promising avenue deal these issues. Yet, much like in broader HRM literature, little known about its ability effectively alleviate how successfully make it co-exist human recruiters. Design/methodology/approach In collaboration North American soccer (football) team, this experimental study investigates impact of using AI-anonymized game footage scouts’ assessments. addition quantitative ratings, uses “think-aloud” or verbal cognition methodology capture changes Findings The results demonstrate “blind scouting” approach stands leads more robust Namely, findings indicate that de-identified through AI increases focus tactical abilities decreases observations potentially problematic physiological considerations. Originality/value This provides valuable insights moves past prevailing vs Human dichotomy by demonstrating technology can improve processes without removing need experts. also speaks AI’s benefits beyond cost time savings suggests other potential HRM-related applications AI.

Язык: Английский

Процитировано

0

How does artificial intelligence usage affect the safety behavior of bus drivers? A double-edged sword study DOI
Yunshuo Liu, Yanbin Li, Huayan Chen

и другие.

Transportation Research Part F Traffic Psychology and Behaviour, Год журнала: 2025, Номер 111, С. 32 - 44

Опубликована: Фев. 26, 2025

Язык: Английский

Процитировано

0

Human-artificial intelligence collaboration in supply chain outcomes: the mediating role of responsible artificial intelligence DOI Creative Commons
Emilia Vann Yaroson,

Amélie Abadie,

Mélanie Roux

и другие.

Annals of Operations Research, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

How and when AI-driven HRM promotes employee resilience and adaptive performance: A self-determination theory DOI Creative Commons
Hoa Do, Xiaoshuang Lin, Helen Shipton

и другие.

Journal of Business Research, Год журнала: 2025, Номер 192, С. 115279 - 115279

Опубликована: Март 6, 2025

Язык: Английский

Процитировано

0

AI colleagues: how AI influences hotel employees’ service performance? DOI Creative Commons
Tong Wang, Eugene Cheng-Xi Aw, Garry Wei‐Han Tan

и другие.

Current Issues in Tourism, Год журнала: 2025, Номер unknown, С. 1 - 18

Опубликована: Март 20, 2025

Язык: Английский

Процитировано

0

Mediating Effect of Artificial Intelligence Attitude on the Relationship Between Digital Literacy and Career & Talent Development: Aligning with Quality Education-SDG4 DOI Creative Commons
Gülten Şenkul, Erdem Kırkbeşoğlu, Esma Ergüner Özkoç

и другие.

Journal of Lifestyle and SDGs Review, Год журнала: 2025, Номер 5(4), С. 05436 - 05436

Опубликована: Март 27, 2025

Objective: This study focuses on the mediating effect of attitudes toward artificial intelligence (AI) in relationship between digital literacy and career talent development self-efficacy (CTDSE). Theoretical Framework: In age, ability to understand apply new technologies plays an important role employees experiencing job polarization. research is based Social Cognitive Career Theory (SCCT), which emphasizes importance self-efficacy, outcome expectations, social influences shaping employees' development. Method: The employed a quantitative design, utilizing SPSS software for data analysis structural equation modeling (SEM) with IBM AMOS analyze collected from 1,497 students enrolled Planning course at X University, one Turkey’s largest universities. were gathered using validated survey instruments measuring literacy, AI attitudes, CTDSE. Results Discussion: Findings indicate that significantly impacts Furthermore, towards partially mediate this relationship, suggesting positive attitude strengthens self-efficacy. Additionally, was found influence highlighting its students’ perceptions These findings emphasize necessity fostering enhance career-related while also promoting maximize impact. Research Implications: provides insights educators policymakers integrating intelligence-related topics into curricula. Enhancing students' competencies can improve their self-confidence planning adapt evolving labor market. are expected contribute Quality Education-SDG 4 by equipping individuals skills enabling them achieve greater success careers. Originality/Value: contributes literature focusing growing adapting technological advancements Highlighting as facilitator development, valuable educators, policymakers, researchers preparing workforce future.

Язык: Английский

Процитировано

0

Enhancing sustainable employability through developmental HR practices: The mediating role of proactive career behaviors and moderating role of person-vocation fit DOI
Chengchuan Yang, Chunyong Tang, Nan Xu

и другие.

Journal of Vocational Behavior, Год журнала: 2025, Номер unknown, С. 104123 - 104123

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

The dark side of employee-generative AI collaboration in the workplace: An investigation on work alienation and employee expediency DOI Creative Commons
Xiaokai Li, Tianyi Long, Andreawan Honora

и другие.

International Journal of Information Management, Год журнала: 2025, Номер 83, С. 102905 - 102905

Опубликована: Апрель 5, 2025

Язык: Английский

Процитировано

0