Examines how hotel robotic services can improve experiences with complementary human services, suggesting optimization strategies.
Purpose This study aims to clarify under what scenarios hotel robotic services constitute enhancements rather than mere gimmicks. Constructing an integrated social presence-cognition-evaluation framework reveals the value boundaries and dynamic formation mechanisms of human-robot collaboration. Design/methodology/approach This study employs two scenario-based experimental designs, integrating service-dominant logic, social presence, social cognition, and the S-O-R theories to examine interaction effects among social presence types, service outcomes, and complementary human services, thereby validating human-machine collaboration models. Findings Study 1 shows that hotel robots perform better in service excellence scenarios, while humans remain irreplaceable in service failures. Study 2’s collaborative model of “focal robotic services + complementary human services” effectively compensates for robotic deficiencies, improving service experiences. Originality/value This study breaks through the traditional static human-machine comparison paradigm by constructing a dynamic theoretical framework and proposing a “task stratification—response tiering” system. It provides innovative theoretical and practical pathways for optimizing human-machine collaboration in the hospitality industry.
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Zhang et al. (2026) studied this question.
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