Chen Mengxi, Wang Xiaoyu, Law Rob, Zhang Mu
Department of Tourism Management, South China University of Technology, Guangzhou 511442, China.
Department of Tourism Management, School of Management, Jinan University, Guangzhou 510632, China.
Behav Sci (Basel). 2023 Jul 5;13(7):560. doi: 10.3390/bs13070560.
This paper used the mixed research method of bibliometric and content analysis to study 284 studies on service robots in the tourism and hospitality industry collected from the Web of Science database. Results show that research in this field started late, and that the COVID-19 pandemic has promoted the rapid growth of the number of research papers. The has so far published the most number of papers. Numerous scholars from universities in different regions of the world have made significant contributions to the research of service robots, and academic collaborations are relatively common, but there are only very few high-yield authors. Empirical research has been widely favored by researchers, wherein online questionnaire and experimental methods have been frequently used. Multidisciplinary theories have also been cited in related articles, especially on the applications of psychological theories. The research fronts cover four branches focusing on service robots, consumers, human employees, and service environment, with all four parts largely overlapping in content. Finally, the paper discusses prospects for the future research agenda of service robots in the tourism and hospitality industry.
本文采用文献计量学和内容分析相结合的研究方法,对从科学网数据库收集的284篇关于旅游和酒店业服务机器人的研究进行了分析。结果表明,该领域的研究起步较晚,且新冠疫情推动了研究论文数量的快速增长。 发表的论文数量最多。来自世界不同地区大学的众多学者对服务机器人的研究做出了重要贡献,学术合作相对普遍,但高产作者很少。实证研究受到了研究人员的广泛青睐,其中在线问卷和实验方法被频繁使用。相关文章中也引用了多学科理论,尤其是心理学理论的应用。研究前沿涵盖四个分支,分别聚焦于服务机器人、消费者、人类员工和服务环境,这四个部分在内容上有很大重叠。最后,本文讨论了旅游和酒店业服务机器人未来研究议程的前景。