Dewi Tojib, Rahul Sujan, Junzhao Ma, Yelena Tsarenko
{"title":"服务机器人拟人化如何影响人类同事?","authors":"Dewi Tojib, Rahul Sujan, Junzhao Ma, Yelena Tsarenko","doi":"10.1108/josm-03-2022-0090","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>Service robots are gradually becoming more anthropomorphic and intelligent. This research aims to investigate how anthropomorphic service robots with different levels of intelligence affect their human counterparts.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>Two between-subject experimental studies were used to test whether different levels of service robot anthropomorphism with different levels of intelligence influence employees' morale and resistance to service robots.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>Study 1 shows that the effect of service robot anthropomorphism (low vs. high) on employees' resistance and morale is mediated by perceived job-security threat. Study 2 validates this mediating effect and shows that it is moderated by the type of AI (mechanical vs. analytical). Specifically, when exposed to mechanical AI-powered service robots, employees exhibit a higher perceived job-security threat toward robots with a high (vs. low) degree of anthropomorphism. This moderating effect is not observed when employees are exposed to analytical AI-powered service robots. This moderated mediation effect is also found for the signing of a petition as the behavioral outcome.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>Service firms considering the adoption of mechanical AI-powered service robots should choose a low (vs. high) anthropomorphic robot to reduce the sense of job-security threat felt by human employees, which subsequently increases their acceptance. However, if analytical AI-powered service robots with are to replace their human employees, the degree of anthropomorphism becomes irrelevant.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This is the first empirical study to explore how anthropomorphic service robots can influence human employees' evaluations and behaviors.</p><!--/ Abstract__block -->","PeriodicalId":48089,"journal":{"name":"Journal of Service Management","volume":"108 10","pages":""},"PeriodicalIF":7.8000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How does service robot anthropomorphism affect human co-workers?\",\"authors\":\"Dewi Tojib, Rahul Sujan, Junzhao Ma, Yelena Tsarenko\",\"doi\":\"10.1108/josm-03-2022-0090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>Service robots are gradually becoming more anthropomorphic and intelligent. This research aims to investigate how anthropomorphic service robots with different levels of intelligence affect their human counterparts.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>Two between-subject experimental studies were used to test whether different levels of service robot anthropomorphism with different levels of intelligence influence employees' morale and resistance to service robots.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>Study 1 shows that the effect of service robot anthropomorphism (low vs. high) on employees' resistance and morale is mediated by perceived job-security threat. Study 2 validates this mediating effect and shows that it is moderated by the type of AI (mechanical vs. analytical). Specifically, when exposed to mechanical AI-powered service robots, employees exhibit a higher perceived job-security threat toward robots with a high (vs. low) degree of anthropomorphism. This moderating effect is not observed when employees are exposed to analytical AI-powered service robots. This moderated mediation effect is also found for the signing of a petition as the behavioral outcome.</p><!--/ Abstract__block -->\\n<h3>Practical implications</h3>\\n<p>Service firms considering the adoption of mechanical AI-powered service robots should choose a low (vs. high) anthropomorphic robot to reduce the sense of job-security threat felt by human employees, which subsequently increases their acceptance. 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How does service robot anthropomorphism affect human co-workers?
Purpose
Service robots are gradually becoming more anthropomorphic and intelligent. This research aims to investigate how anthropomorphic service robots with different levels of intelligence affect their human counterparts.
Design/methodology/approach
Two between-subject experimental studies were used to test whether different levels of service robot anthropomorphism with different levels of intelligence influence employees' morale and resistance to service robots.
Findings
Study 1 shows that the effect of service robot anthropomorphism (low vs. high) on employees' resistance and morale is mediated by perceived job-security threat. Study 2 validates this mediating effect and shows that it is moderated by the type of AI (mechanical vs. analytical). Specifically, when exposed to mechanical AI-powered service robots, employees exhibit a higher perceived job-security threat toward robots with a high (vs. low) degree of anthropomorphism. This moderating effect is not observed when employees are exposed to analytical AI-powered service robots. This moderated mediation effect is also found for the signing of a petition as the behavioral outcome.
Practical implications
Service firms considering the adoption of mechanical AI-powered service robots should choose a low (vs. high) anthropomorphic robot to reduce the sense of job-security threat felt by human employees, which subsequently increases their acceptance. However, if analytical AI-powered service robots with are to replace their human employees, the degree of anthropomorphism becomes irrelevant.
Originality/value
This is the first empirical study to explore how anthropomorphic service robots can influence human employees' evaluations and behaviors.
期刊介绍:
The Journal of Service Management (JOSM) centers its scope on research in service management. It disseminates papers showcasing distinctive and noteworthy contributions to service literature, serving as a communication platform for individuals in the service management field, transcending disciplines, functional areas, sectors, and nationalities. The journal publishes double-blind reviewed papers emphasizing service literature/theory and its practical applications.