Boost Your Human Resource Efficiency: AI-Powered Solutions Await!
سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 53
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شناسه ملی سند علمی:
CSIEM04_182
تاریخ نمایه سازی: 17 خرداد 1405
چکیده مقاله:
The advent of artificial intelligence (AI) technology is catalyzing significant transformations in employee work dynamics. However, there tend to be inconsistent findings regarding how and why organizational AI adoption in human resource management (HRM) practices can affect employees' commitment to their organizations. Drawing on the stereotype content model, this research furthers the comprehension of the interactions between servant leadership and AI adoption in HRM practices, which shape employees' organizational commitment through competence and warmth perceptions of their companies. The proposed model is tested using two independent studies: Study ۱ - an experiment with the US tourism employees, and Study ۲ - a cross-lagged three-wave field survey (multi-level and multi-source designs) and Study ۳ - a time-lagged two-wave field survey with the Chinese leisure and hospitality employees. Results reveal that AI adoption in HRM practices will increase (decrease) employees' competence (warmth) perceptions of their companies, promoting (inhibiting) their organizational commitment, respectively. Meanwhile, servant leadership strengthens the competence pathway and buffers the warmth pathway. The research provides theoretical implications for AI management in the tourism and hospitality workplace and practical implications for enhancing tourism employees' organizational commitment.
کلیدواژه ها:
Artificial intelligence ، adoption ، Human resource management ، Employee competence and warmth perceptions ، Organizational commitment ، Servant leadership
نویسندگان
Farshid Vazifehdoost
Faculty of Computer Engineering, Artificial Intelligence & Robotics Department, Payam e Noor University, Tehran, Iran
Maedeh Rahmani
Faculty of Computer Engineering, Software Department, Payam e Noor University, Tehran, Iran
Hossein Vazifehdoost
Department of Business Management, Islamic Azad University, Science and Research Branch, Tehran, Iran
Behnaz Shakib
Department of Business Management & Marketing, Payam e Noor University, Tehran, Iran