Effects of interaction between brand positioning and chatbot conversational style on perceived fit and brand attitudes

Li-Keng Cheng, Chung-Lin Toung
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Abstract

Although an underdog brand positioning can elicit positive consumer responses, maintaining a brand's positioning requires maintaining consistent brand associations. If the associations created by the company's service providers do not align with the brand's positioning, this discrepancy can lead to consumer confusion or to a decline in brand attitudes. Chatbots, as customer-facing representatives, play a crucial role in how consumers perceive and evaluate a brand. However, the role of chatbots in shaping brand attitude has not been extensively studied. Therefore, this study investigates the effects of chatbot conversational styles on consumers' perceptions of the fit between a brand's positioning and its messaging, focusing on both “top-dog” and “underdog” brands. This study demonstrates that underdog brands using chatbots with warm conversational styles and top-dog brands using chatbots with competent (i.e., professional) conversational styles foster positive brand evaluations by consumers through perceived fit. Additionally, this study introduces the concept of power state—an individual's degree of perceived control over their surroundings—as a moderator in human–chatbot interactions, demonstrating that high-power-state consumers of top-dog brands favor a competent conversational style, whereas low-power-state consumers favor a warm conversational style regardless of the brand's positioning.
品牌定位与聊天机器人对话风格之间的相互作用对感知契合度和品牌态度的影响
虽然弱势品牌定位可以引起消费者的积极反应,但要维持品牌定位,就必须保持一致的品牌联想。如果公司的服务提供商创建的联想与品牌定位不一致,这种差异可能会导致消费者的困惑或品牌态度的下降。聊天机器人作为面向客户的代表,在消费者如何感知和评价品牌方面发挥着至关重要的作用。然而,聊天机器人在塑造品牌态度方面的作用尚未得到广泛研究。因此,本研究调查了聊天机器人的对话风格对消费者感知品牌定位与其信息之间契合度的影响,重点关注 "强势品牌 "和 "弱势品牌"。本研究表明,使用热情对话风格聊天机器人的弱势品牌和使用干练(即专业)对话风格聊天机器人的强势品牌通过感知契合度促进了消费者对品牌的积极评价。此外,本研究还引入了 "权力状态 "的概念--即个人对周围环境的感知控制程度--作为人类与聊天机器人互动的调节因素,表明高权力状态的顶级品牌消费者偏爱干练的对话风格,而低权力状态的消费者则偏爱温暖的对话风格,无论品牌定位如何。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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