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

技术接受模型 机器人 验证性因素分析 服务(商务) 概念模型 实证研究 晋升(国际象棋) 知识管理 营销 计算机科学 人工智能 过程管理 工程类 业务 数学 人机交互 数据库 可用性 统计 政治 法学 政治学
作者
Lina Zhong,Xiaoya Zhang,Rong Jia,Hing Kai Chan,Jinyu Xiao,Haoyu Kong
出处
期刊:Industrial Management and Data Systems [Emerald Publishing Limited]
卷期号:121 (6): 1325-1352 被引量:80
标识
DOI:10.1108/imds-11-2019-0603
摘要

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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