Award Date

12-1-2021

Degree Type

Professional Paper

Degree Name

Master of Science in Hotel Administration

Department

William F. Harrah College of Hospitality

First Committee Member

Kweisi Ausar

Number of Pages

45

Abstract

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.

Keywords

service robots; robotics; human robot interaction; guest acceptance; hotel industry; service robot acceptance model; anthropomorphism; COVID-19

Disciplines

Gaming and Casino Operations Management | Robotics

File Format

pdf

File Size

1000 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

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