How and when generative AI use affects employee incremental and radical creativity: an empirical study in China DOI
Xin Zhang, Peng Yu, Liang Ma

et al.

European Journal of Innovation Management, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 31, 2024

Purpose The potential of generative AI (GenAI) to stimulate employee creativity has received extensive attention from industry and academia. However, there is still limited research on strategically using GenAI leverage its positive effects creativity. This study aims clarify the different use purposes Design/methodology/approach Based self-determination theory, this explores work-related nonwork-related incremental radical through mediator role exploratory exploitative learning boundary perceived ease use. constructs a theoretical model uses structural equation modeling test by analyzing survey data 330 employees. Findings (1) Work-related positively impacts learning; (2) contributes more than learning, while (3) stronger impact creativity, creativity; (4) weakens learning. Originality/value First, enriches revealing relationship between Second, mediating Finally, moderating

Language: Английский

Generative artificial intelligence in tourism management: An integrative review and roadmap for future research DOI
Hengyun Li, Jianpu Xi, Cathy H.C. Hsu

et al.

Tourism Management, Journal Year: 2025, Volume and Issue: 110, P. 105179 - 105179

Published: March 31, 2025

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
Generating creativity through ChatGPT: an empirical investigation in open innovation platforms DOI
Yongjun Li, Xinyue Li, Lizheng Wang

et al.

Information Technology and Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Language: Английский

Citations

0
Transforming Talent Acquisition DOI
Ashish Mohture,

Shamrao Parashram Ghodake,

Nilesh Uttam Bhalerao

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 127 - 154

Published: May 2, 2025

Talent acquisition is experiencing a revolution because to generative AI (Artificial Intelligence), which enhance automates repetitive activities, offers data-driven insights, and personalization. Because of this change improves decision-making, stimulate diversity, streamlines the hiring process. Some major trends in industry are AI-generated job descriptions, resume screening automation, use chatbots. In spite these benefits, Intelligence) acceptance recruitment increases concerns about data privacy, bias, transparency. Fair responsible requires attention ethical issues. Future specify increased virtual recruitment, skills-based hiring, AI-enhanced employee engagement productivity. The equilibrium between efficiency will be vital as still restructure employment practices.

Language: Английский

Citations

0
How AI use in organizations contributes to employee competitive advantage: The moderating role of perceived organization support DOI
Liang Ma, Peng Yu, Xin Zhang

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 209, P. 123801 - 123801

Published: Oct. 4, 2024

Language: Английский

Citations

1
How and when generative AI use affects employee incremental and radical creativity: an empirical study in China DOI
Xin Zhang, Peng Yu, Liang Ma

et al.

European Journal of Innovation Management, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 31, 2024

Purpose The potential of generative AI (GenAI) to stimulate employee creativity has received extensive attention from industry and academia. However, there is still limited research on strategically using GenAI leverage its positive effects creativity. This study aims clarify the different use purposes Design/methodology/approach Based self-determination theory, this explores work-related nonwork-related incremental radical through mediator role exploratory exploitative learning boundary perceived ease use. constructs a theoretical model uses structural equation modeling test by analyzing survey data 330 employees. Findings (1) Work-related positively impacts learning; (2) contributes more than learning, while (3) stronger impact creativity, creativity; (4) weakens learning. Originality/value First, enriches revealing relationship between Second, mediating Finally, moderating

Language: Английский

Citations

0