提高消费者对聊天机器人的持续使用:多重参考效应的视角

Qiao Qiao, Weili Wu, Yang Li
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引用次数: 0

摘要

聊天机器人已广泛应用于电子商务活动,并正在取代人工客服,显示出强大的市场潜力。然而,与其快速发展相比,消费者对聊天机器人的使用率仍有增长空间。因此,本研究旨在阐明决定消费者持续使用聊天机器人的因素。本研究以多重参照效应模型为基础,考察了焦点客体参照物、其他客体参照物和自我参照物在判断过程中的作用,并以情绪为调节变量。焦点对象指涉是消费者对聊天机器人服务性能的评价结果,是消费者对聊天机器人服务性能的期望。其他对象指的是可由消费者与焦点对象进行比较的备选方案的性能。基于自我的指涉物表示消费者的自我形象与焦点对象的形象的比较。进一步讨论了本研究的潜在意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Consumers Continuous Usage of Chatbots: The Perspective of Multiple Reference Effects
Chatbots have been widely employed in e-commerce activities, and are replacing manual customer service, which shows strong market potential. However, compared with its rapid development, consumers' usage rate of chatbots still has room for growth. Therefore, this study aims to elucidate the factors that determine consumers' continuous usage of chatbots. Grounded on the multiple reference effects model, this study examines the role of the focal-object referents, other-object referents, and self-based referents in the judgment process, and uses mood as a moderating variable. Focal-object referents stand for consumers' evaluation results of the chatbot service performance with their expectations. Other-object referents are the performance of the alternative options that can be assessed by consumers compared with the focal object. Self-based referents indicate the self-image of consumers compared with the image of the focal object. The potential implications of this study were further discussed.
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