Integrating artificial intelligence and human resource management: a review and future research agenda DOI
Qinyan Gong, Di Fan, Timothy Bartram

et al.

The International Journal of Human Resource Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 39

Published: Dec. 27, 2024

The integration of artificial intelligence (AI) into human resource management (HRM) represents a rapidly evolving area practice and research. This review aims to identify nascent AI research trends within HRM capture the value potential technology. We outline developmental trajectory in discuss implications theories on organizations. Based co-word network analysis, study identifies four pathways published articles related HRM: AI-enhanced collaboration, AI-driven workplace, AI-enabled business models, AI-powered innovation. Finally, we highlight promising avenues for future across intersecting domains advance understanding this era.

Language: Английский

To be right on the button: How and when hotel frontline service employees’ AI awareness influences deviant behavior DOI
Yajun Zhang, Jingjing Wang, Junwei Zhang

et al.

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 126, P. 104090 - 104090

Published: Jan. 16, 2025

Language: Английский

Citations

0
Explore the anthropomorphism of service bots in tourism: A MASEM analysis based on stereotype content model DOI

F. Zhang,

Zihan Zhou, Dongfang Sheng

et al.

Current Issues in Tourism, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21

Published: April 8, 2025

Language: Английский

Citations

0
Understanding the critical antecedents of employee–service robot collaboration: an investigation with the protection motivation theory DOI
Veland Ramadani, Barış Armutçu, Ahmet Tan

et al.

The Bottom Line Managing Library Finances, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

Purpose Today, the widespread use of robotic technologies in service sector has created need for a deeper understanding factors affecting human−robot collaboration. By examining such as robot awareness, change-oriented leadership and employee motivations (approach avoidance) within framework protection motivation theory (PMT), this study aims to provide insights into psychological organizational that influence employee−service (E-SR) This also sheds light on how collaboration influences employees’ intentions robots their actual usage behavior, ultimately contributing developing more effective strategies integrating environments. Design/methodology/approach The 220 valid questionnaires collected from employees were analyzed using partial least squares structural equation modeling. Findings found approach have significant positive effects E-SR In contrast, avoidance did not show effect addition, was shown significantly affect robots, which turn impacted behavior. Practical implications findings offer valuable industrial leaders policymakers, suggesting enhancing could improve sector. fostering environments where awareness are emphasized, organizations can engagement with thereby optimizing automation. Originality/value contributes literature by applying PMT understand It uniquely explores role shaping collaborative interactions provides empirical evidence connection between collaboration, behavior adoption.

Language: Английский

Citations

0
How anthropomorphic features in service robots foster co-creation and wellbeing among Gen Z consumers? DOI
Amy Wong,

Jimmy Wong

Young Consumers Insight and Ideas for Responsible Marketers, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Purpose This study aims to investigate the influence of service robot anthropomorphic factors on trust and emotion, which subsequently affect consumer outcomes such as value co-creation wellbeing. Design/methodology/approach The authors gathered empirical data 282 Gen Z visitors at a library where concierge was actively deployed. Structural equation modelling used examine hypothesised relationships. Findings findings reveal significant positive effects social capability warmth emotion. In addition, mediating roles emotion moderating interest in new technology frequency visit are established. Practical implications suggest that companies should prioritise cultivating emotional connections enhance experiences with robots. Originality/value To best authors’ knowledge, this research is first antecedents both wellbeing an actual fieldwork setting.

Language: Английский

Citations

0
Influence of robot anthropomorphism on consumer attitudes toward restaurants and service providers DOI

Yiming Qian,

Xiaoang Wan

International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 123, P. 103939 - 103939

Published: Sept. 27, 2024

Language: Английский

Citations

3
AI awareness and employee-related outcomes: A systematic review of the hospitality literature and a framework for future research DOI

Selim Bakir,

Tarik Doğru, Anil Bilgihan

et al.

International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 124, P. 103973 - 103973

Published: Oct. 19, 2024

Language: Английский

Citations

3
What happens after the arrival of service robots? Investigating how robotic usage experience facilitates employees’ exploitative and exploratory learning behaviors DOI
Xin Liu, Lu Zhang,

Lishan Xie

et al.

International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 123, P. 103936 - 103936

Published: Sept. 27, 2024

Language: Английский

Citations

2
Integrating artificial intelligence and human resource management: a review and future research agenda DOI
Qinyan Gong, Di Fan, Timothy Bartram

et al.

The International Journal of Human Resource Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 39

Published: Dec. 27, 2024

The integration of artificial intelligence (AI) into human resource management (HRM) represents a rapidly evolving area practice and research. This review aims to identify nascent AI research trends within HRM capture the value potential technology. We outline developmental trajectory in discuss implications theories on organizations. Based co-word network analysis, study identifies four pathways published articles related HRM: AI-enhanced collaboration, AI-driven workplace, AI-enabled business models, AI-powered innovation. Finally, we highlight promising avenues for future across intersecting domains advance understanding this era.

Language: Английский

Citations

0