Managing the human–chatbot divide: how service scripts influence service experience

聊天机器人 服务(商务) 服务设计 脚本语言 服务交付框架 游戏娱乐 服务提供商 万维网 计算机科学 心理学 业务 互联网隐私 营销 操作系统 艺术 视觉艺术
作者
Sean Sands,Carla Ferraro,Colin Campbell,Hsiu‐Yuan Tsao
出处
期刊:Journal of Service Management 卷期号:32 (2): 246-264 被引量:106
标识
DOI:10.1108/josm-06-2019-0203
摘要

Purpose Brands are increasingly considering the use of chatbots to supplement, or even replace, humans in service interactions. Like humans, chatbots can follow certain service scripts in their encounters, which can subsequently determine the customer experience. Service scripts are verbal prescriptions that seek to standardize customer service interactions. However, while the role of service scripts is well documented, despite the increasing use of chatbots as a service mechanism, less is known about the effect, on consumers, of different service scripts presented during chatbot service encounters. Design/methodology/approach An experimental scenario was developed to test the research hypotheses. Respondents were randomly allocated to scenarios representing a 2 (service interaction: human, chatbot) × 2 (service script: education, entertainment) design. A total of 262 US consumers constituted the final sample for the study. Findings The findings indicate that when employing an education script, a significant positive effect occurs for human service agents (compared to chatbots) in terms of both satisfaction and purchase intention. These effects are fully mediated by emotion and rapport, showing that the bonds developed through the close proximity to a human service agent elicit emotion and develop rapport, which in turn influence service outcomes. However, this result is present only when an educational script is used. Originality This paper contributes to the emerging service marketing literature on the use of digital services, in particular chatbots, in service interactions. We show that differences occur in key outcomes dependent on the type of service script employed (education or entertainment). For managers, this study indicates that chatbot interactions can be tailored (in script delivered) in order to maximize emotion and rapport and subsequently consumer purchase intention and satisfaction.
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