Integration of warrior artificial intelligence and leadership reflexivity to enhance decision-making DOI Creative Commons
Walter Matli

Applied Artificial Intelligence, Journal Year: 2024, Volume and Issue: 38(1)

Published: Oct. 13, 2024

In the emerging literature on artificial intelligence (AI) and leadership, there is increasing recognition of importance played by advanced technologies in decision-making. AI viewed as next frontier to improve decision-making processes a result enhance human general. However, existing lacks studies how AI, operating "warrior" or innovator business, can turn leadership reflexivity, thereby outcomes. This study aimed at addressing this gap drawing reflexivity perspective research examine integration concepts warrior with The used systematic review identify map articles using specified inclusion exclusion criteria achieve this. Selected were included for in-depth analysis address issue under investigation. explored potential benefits blending reflective strategies, offering insights into organizations optimize their through innovative approach. A comprehensive was thus foundation our investigation may especially high-stress conditions providing real-time data capabilities, pattern skills, predictive simulations. Our work emphasizes plays critical role assessing AI-driven recommendations ensure ethical soundness contextual appropriateness decisions being taken. Based findings, we suggest that integrating capabilities practices lead more effective adaptable frameworks, particularly when swift yet well-informed action necessary. adds body knowledge illustrating that, aid flow diagram, process potentially amplify data-driven leaders reflect upon, reinforcing rigorous, ethical, nuanced approach alignment organizational objectives societal values. It recommended actively engage discussions regarding use, ensuring values ethics. Ultimately, contributes valuable around underscoring significance maintaining balanced relationship between machine efficiency wisdom.

Language: Английский

Service robots in my workplace: effects of employee-service robot co-work experiences on psychological empowerment DOI
Xin Liu, Lu Zhang,

Tengteng Zhu

et al.

Journal of Hospitality Marketing & Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 29

Published: Sept. 17, 2024

Language: Английский

Citations

8
Examining the influence of AI event strength on employee performance outcomes: Roles of AI rumination, AI-supported autonomy, and felt obligation for constructive change DOI
Jing Bai,

Tzung Cheng TC Huan,

Wai Yie Leong

et al.

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 126, P. 104111 - 104111

Published: Jan. 16, 2025

Language: Английский

Citations

1
Shedding light on new technology: How ambient luminance influences acceptance of AI technologies DOI
Heng Li

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 127, P. 104119 - 104119

Published: Jan. 28, 2025

Language: Английский

Citations

0
When Hiding Hurts: How Stealth Use of Generative AI Resources Impairs Task Performance DOI
Peikai Li, Lin Ma, Niannian Dong

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Master or Escape: Digitization-Oriented Job Demands and Crafting and Withdrawal of Chinese Public Sector Employees DOI Creative Commons
Huan Huang,

Jiangyu Li

Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 378 - 378

Published: March 17, 2025

Public sector employees face the profound impact of digital work demands, especially with advancement China’s government construction. This study explores dual-edged consequence job demands on behaviors public in China by constructing a dual-path model. Structural equation modeling (SEM) was used to validate data 873 employees. found that increase civil servants’ thriving at work, facilitating their job-crafting and increasing workplace anxiety, leading withdrawal behavior. Furthermore, this validates moderating effects promotion preventive focus. provides managers valuable insights develop managing strategies for servants adapt perceptions context.

Language: Английский

Citations

0
The Impact of AI Usage on Innovation Behavior at Work: The Moderating Role of Openness and Job Complexity DOI Creative Commons
Qichao Zhang, Ganli Liao,

Xueying Ran

et al.

Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 491 - 491

Published: April 8, 2025

In the context of digital transformation era, extensive application artificial intelligence (AI) is profoundly altering workplace environment, thereby underscoring critical need to elucidate its impact on employee innovation behavior. Such insights are essential for optimizing human resource management and enhancing organizational competitiveness. Grounded in cognitive evaluation theory, this study explores underlying mechanisms through which AI usage influences behavior develops an integrated theoretical model that incorporates both personality traits job characteristics. A two-wave questionnaire survey was conducted, hierarchical regression analysis employed test hypotheses using a sample 339 employees from 13 manufacturing enterprises China. The findings reveal positively associated with behavior, self-efficacy serving as significant mediator. Furthermore, openness complexity moderate relationship between self-efficacy, facilitating innovative Additionally, moderated mediation mechanism identified. conclusions not only enrich understanding how impacts but also offer practical guidance organizations leveraging foster during transformation.

Language: Английский

Citations

0
Closing the Gap: Advancing service management in the hospitality and tourism industry amidst the AI revolution DOI
Anna S. Mattila, Laurie Wu, Peihao Wang

et al.

Journal of Hospitality and Tourism Management, Journal Year: 2025, Volume and Issue: 62, P. 237 - 245

Published: Feb. 4, 2025

Language: Английский

Citations

0
Facing or avoiding? How dependence on artificial intelligence influences hotel employees’ job crafting DOI
Hongdan Zhao, Yunshuo Ma, Yuanhua Chen

et al.

International Journal of Contemporary Hospitality Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

Purpose As more hotels adopt artificial intelligence (AI), it becomes inevitable for employees to rely on abilities enhanced by the use of AI complete tasks. However, our understanding how adapt this shift in work design remains limited. Therefore, purpose study is explore hotel employees’ approach and avoidance behavioral reactions dependence AI. Design/methodology/approach A three-wave field was conducted, collecting data from 303 analyzed using Mplus 8.3. Findings Dependence can be construed as a positive stimulus, augmenting harmonious passion subsequently promoting job crafting. The promotion focus positively moderates process. On other hand, also perceived negative heightening feelings threat and, consequently, fostering In case, prevention Practical implications This provides theoretical foundations decision-making references management practice. Managers should implement measures guide developing proper provide them with emotional support institutional safeguards. Originality/value unveils consequences employees, offering new perspectives research industry. By differentiating crafting, theorizes tests dual-path model may influence thereby enriching AI–job crafting literature.

Language: Английский

Citations

0
AI-induced behaviors: bridging proactivity and deviance through motivational insights DOI

Xin-Qian Ding,

Hui Chen, Jie Liu

et al.

Journal of Managerial Psychology, Journal Year: 2025, Volume and Issue: unknown

Published: March 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.

Language: Английский

Citations

0
Fostering proactivity in the age of AI: exploring the interplay of job reflection and coaching leadership DOI
Jeeyoon Jeong, Insik Jeong

Baltic Journal of Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Purpose This study examines the impact of artificial intelligence (AI) adoption on employee proactive behavior in South Korean organizations. Drawing social cognitive theory, we investigate mediating role job reflection and moderating effect coaching leadership this relationship. Our research aims to address critical gap understanding how AI influences proactivity, a crucial dynamic, technology-driven environments. By exploring processes factors involved, seek provide insights into organizations can leverage foster while emphasizing importance reflective practices supportive leadership. Design/methodology/approach We employed time-lagged survey with 405 employees across three waves. adoption, control variables were measured at Time 1, 2 3. Hierarchical regression bootstrapping analyses test hypotheses. Findings results reveal that positively relates behavior, While moderates relationship between reflection, hypothesized moderated mediation was not supported, suggesting reflection’s remains consistent regardless level. finding highlights robustness as mechanism context. Originality/value advances mechanisms linking by identifying key process. It provides enhance proactivity during implementation revealing complexity leadership’s

Language: Английский

Citations

0