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

и другие.

The International Journal of Human Resource Management, Год журнала: 2024, Номер unknown, С. 1 - 39

Опубликована: Дек. 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.

Язык: 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

и другие.

International Journal of Hospitality Management, Год журнала: 2025, Номер 126, С. 104090 - 104090

Опубликована: Янв. 16, 2025

Язык: Английский

Процитировано

0

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

F. Zhang,

Zihan Zhou, Dongfang Sheng

и другие.

Current Issues in Tourism, Год журнала: 2025, Номер unknown, С. 1 - 21

Опубликована: Апрель 8, 2025

Язык: Английский

Процитировано

0

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

и другие.

The Bottom Line Managing Library Finances, Год журнала: 2025, Номер unknown

Опубликована: Апрель 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.

Язык: Английский

Процитировано

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, Год журнала: 2025, Номер unknown

Опубликована: Апрель 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.

Язык: Английский

Процитировано

0

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

Yiming Qian,

Xiaoang Wan

International Journal of Hospitality Management, Год журнала: 2024, Номер 123, С. 103939 - 103939

Опубликована: Сен. 27, 2024

Язык: Английский

Процитировано

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

и другие.

International Journal of Hospitality Management, Год журнала: 2024, Номер 124, С. 103973 - 103973

Опубликована: Окт. 19, 2024

Язык: Английский

Процитировано

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

и другие.

International Journal of Hospitality Management, Год журнала: 2024, Номер 123, С. 103936 - 103936

Опубликована: Сен. 27, 2024

Язык: Английский

Процитировано

2

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

и другие.

The International Journal of Human Resource Management, Год журнала: 2024, Номер unknown, С. 1 - 39

Опубликована: Дек. 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.

Язык: Английский

Процитировано

0