Master of Science in Hotel Administration
William F. Harrah College of Hospitality
First Committee Member
Number of Pages
The market for service robots is expected to expand significantly owing to the increasing relevance of service automation under the outbreak of the COVID-19 pandemic. Despite the growing managerial interest in robotic applications in the hotel industry, current robotic research has been mostly conceptual with limited robot data on hand. In light of this issue, this paper will conduct a comparative analysis of hotel-specific service robot acceptance models between the Service Robot Acceptance Model (sRAM) and the Service Robot Integration Willingness (SRIW) framework. By identifying key elements of each service robot acceptance model, this paper puts an emphasis on investigating the impact of anthropomorphism on the guest acceptance of service robots. The findings of this paper contribute to the existing service robot research and provide valuable insights for hoteliers who are seeking to stay competitive to keep up with technological transitions.
service robots; robotics; human robot interaction; guest acceptance; hotel industry; service robot acceptance model; anthropomorphism; COVID-19
Gaming and Casino Operations Management | Robotics
University of Nevada, Las Vegas
Dong, Ying, "Factors Influencing Service Robot Adoption: A Comparative Analysis of Hotel-Specific Service Robot Acceptance Models" (2021). UNLV Theses, Dissertations, Professional Papers, and Capstones. 4331.
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