Ioannis Rizomyliotis , Minas N. Kastanakis , Apostolos Giovanis , Kleopatra Konstantoulaki , Ioannis Kostopoulos
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引用次数: 10
Abstract
In a digitally empowered business world, a growing number of family businesses are leveraging the use of chatbots in an attempt to improve customer experience. This research investigates the antecedents of chatbots’ successful use in small family businesses. Subsequently, we determine the effect of two distinctive sets of human–machine communication factors—functional and humanoid—on customer experience. We assess the latter with respect to its effect on customer satisfaction. While a form of intimate attachment can occur between customers and small businesses, affective commitment is prevalent in customers’ attitudes and could be conflicting with the distant and impersonal nature of chatbot services. Therefore, we also test the moderating role of customers’ affective commitment in the relationship between customer experience and customer satisfaction. Data come from 408 respondents, and the results offer an explicit course of action for family businesses to effectively embed chatbot services in their customer communication. The study provides practical and theoretical insights that stipulate the dimensions of chatbots’ effective use in the context of small family businesses.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.