Human-robot collaboration and customer-directed spillover: A daily diary study of state job apathy
Mujahid Iqbal1, Ancy Gamage2, Aamir Hayat2
1Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, 100875, China.
Abstract:
Human-robot collaboration (HRC) is increasingly prevalent in hospitality and tourism, yet its affective implications for employees remain insufficiently understood. Drawing on Affective Events Theory and the Effort-Recovery Model, this study proposes state job apathy as a novel low-activation affective mechanism linking daily HRC to next-morning customer-directed behaviors, specifically enacted incivility toward customers and customer stewardship behavior. We further examine psychological detachment as a recovery-based moderator of this spillover process. A 10-day consecutive daily diary study was conducted with 206 hospitality and tourism employees in China, yielding 1016 matched within-person observations. Multilevel path analyses revealed that daily HRC frequency was positively associated with end-of-day state job apathy, which in turn predicted greater enacted incivility and reduced customer stewardship behavior the following morning. State job apathy partially mediated these cross-day relationships. Psychological detachment was also found to moderate the carryover of state job apathy to next-morning customer-directed behaviors: the indirect effects of HRC via apathy were significant when psychological detachment was low, but non-significant when psychological detachment was high. These findings advance HRC research by identifying a low-arousal affective pathway that complements existing threat-based accounts, suggesting that the potential behavioral risks associated with robot collaboration extend beyond the workday into subsequent customer interactions. Practically, the results highlight the importance of recovery-supportive workplace practices and job redesign strategies to mitigate the cumulative affective implications of robot-intensive work environments.
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