2022
DOI: 10.1016/j.ijhm.2022.103220
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Dancing with service robots: The impacts of employee-robot collaboration on hotel employees’ job crafting

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Cited by 46 publications
(18 citation statements)
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References 48 publications
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“…The factor analysis with an unrotated factor solution showed that the first factor explains 45.328% of the total variance, less than the threshold of 50% (Podsakoff and Organ, 1986). Second, we conducted a common factor test (Podsakoff et al , 2003; Song et al , 2022). After adding a latent common method factor in the five-factor measurement model, the model fit has a slight change.…”
Section: Analysis and Resultsmentioning
confidence: 99%
“…The factor analysis with an unrotated factor solution showed that the first factor explains 45.328% of the total variance, less than the threshold of 50% (Podsakoff and Organ, 1986). Second, we conducted a common factor test (Podsakoff et al , 2003; Song et al , 2022). After adding a latent common method factor in the five-factor measurement model, the model fit has a slight change.…”
Section: Analysis and Resultsmentioning
confidence: 99%
“…In an era where AI technology will increasingly work alongside humans, employees' proactive involvement in adjusting how they perform their work and generally adapting to changes in work is critical (Jerman et al. , 2020; Song et al. , 2022).…”
Section: Discussionmentioning
confidence: 99%
“…Job crafting is one of the most important factors that determines important work outcomes for employees, including performance, creativity and job satisfaction (Bakker and Oerlemans, 2019;Chen et al, 2021;Demerouti et al, 2015;Zhang and Parker, 2019). In an era where AI technology will increasingly work alongside humans, employees' proactive involvement in adjusting how they perform their work and generally adapting to changes in work is critical (Jerman et al, 2020;Song et al, 2022). Indeed, the introduction of AI in many industries has created a new organizational context that requires novel research that address implications particularly related to the antecedents of job crafting.…”
Section: Theoretical Implicationsmentioning
confidence: 99%
“…x Employees' seniority, awareness of service robots, perception of service robots' social skills and prior experience in using service robots influenced their perception of robot-induced unemployment Song et al (2022) Employees' perceptions of service robots (perceived risk, playfulness, performance expectancy and effort expectancy) influence their job crafting (continued ) Service robot affecting human co-workers Across two scenario-based experimental studies, we show that anthropomorphic service robots affect human employees in terms of their morals and their resistance to robot deployment through perceived job-security threat (Study 1). Study 2 further shows that the type of AI intelligence (mechanical AI vs analytical AI) acts as the boundary condition of the mediating effects anthropomorphic service robots (low vs. high) on employees' resistance and morale through perceived job-security threat.…”
Section: Introductionmentioning
confidence: 99%