Table of contents - Special Issue: Better than Us? Workers, Robots, and the HRM of the Future
Guest Editors: Francesco Schiavone, Yichuan Wang, Ginevra Gravili, Patricia Baudier
Intelligent human resources for the adoption of artificial intelligence: a systematic literature review
Mariana Namen Jatobá, João J. Ferreira, Paula Odete Fernandes, João Paulo TeixeiraThis study is dedicated to critically analysing research addressing human resource management (HRM) and the adoption of artificial intelligence (AI) with the purpose of driving…
Managing workuniverses with workers and robots: the implications of digital-driven spatiotemporal dynamics for HRM
Hongxia PengThe increasing presence of traditional or new forms of robots at work demonstrates how the copresence of workers and robots might reframe work and workplaces and consequently…
Paradox in the making: toward a theory of utility maximization in human-commercial robot interactions
Shih Yung Chou, Katelin Barron, Charles RamserThis article aims to develop a new theory that can better explain and predict how and when humans interact with commercial robots. To this end, utility maximization theory (UMT…
The perceived credibility of human-like social robots: virtual influencers in a luxury and multicultural context
Elodie de Boissieu, Patricia BaudierSocial robots are invading our daily lives. Recently, thanks to artificial intelligence, humanoid social robots have been developed and influence individuals on social media. This…
Digital transformation in HRM of the modern business service sector in Finland and Poland
Roksana Ulatowska, Elina Wainio, Marcin PierzchałaThe purpose of this article is to analyze the digital innovations which are being introduced in the HRM field in organizations in the modern business services sector in Finland…
The impact of robots and robotic systems on businesses in the workplace: systematic review
Şerife Uğuz Arsu, Esra Sipahi DöngülThis study aims to identify articles examining human-robot interaction and the effects of robotic systems on employment.
The dark side of AI-enabled HRM on employees based on AI algorithmic features
Yu Zhou, Lijun Wang, Wansi ChenAI is an emerging tool in HRM practices that has drawn increasing attention from HRM researchers and HRM practitioners. While there is little doubt that AI-enabled HRM exerts…
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ISSN:
0953-4814Online date, start – end:
1988Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Prof Slawomir Magala