4.5 Article

Construction and empirical research on acceptance model of service robots applied in hotel industry

Journal

INDUSTRIAL MANAGEMENT & DATA SYSTEMS
Volume 121, Issue 6, Pages 1325-1352

Publisher

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/IMDS-11-2019-0603

Keywords

Service robots; Acceptance model; Hotel; China

Funding

  1. National Natural Science Foundation of China [71974010]
  2. Hong Kong Polytechnic University

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The research explores customer acceptance of service robots in hotels, aiming to guide hotel management in promoting personalized robot technology products and services. The study provides valuable insights into understanding customer attitudes and acceptance of emerging technology in the hospitality industry.
Purpose Robots, as the crystallization of new artificial intelligence, are being applied in various fields, especially the hotel industry. They are seizing the opportunities, using technology to improve the overall quality and comprehensive competitiveness. However, they also cause many problems due to practical limitations. The purpose of this paper is to study customers' recognition and acceptance of hotel service robots to guide the successful promotion of this technology. Design/methodology/approach This paper proposed a comprehensive model based on the theory of planned behavior, the technology acceptance model and then the perceived value-based acceptance model. Exploratory factor analysis, confirmatory factor analysis, grouped regression analysis and path analysis was adopted to validate the impacts of each variable to obtain the final reliable model using data collected from hotel guests using a self-designed questionnaire. Findings The empirical research based on the theoretical model shows that the constructed conceptual model can thoroughly explain the influencing factors of hotel robot acceptance, enrich the acceptance theory and provide academic support for the use and popularization of hotel service robots. Among all variables, attitude, usefulness and perceived value are the factors that have the greatest impact on acceptance. They have significant differences in the effects of adjustment variables such as gender, educational level, whether hotel robots have been used, and whether other robot services have been experienced on different paths in the model. Practical implications This paper explored the customer acceptance of service robots in hotels, helped to understand the process of decision-making on service robot selection and contributed to the theoretical extension of the hospitality industry. The work guides hotel management to promote better-personalized products and services of robot technology in the hospitality industries. Originality/value The acceptance study on hotel service robots provides insight into the hotel industry to understand customers' attitudes and acceptance of emerging technology.

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