Contagion-Based Chatbot Usage Intention: Synthesizing Technology Adoption And Social Contagion Theory

Meilisa Rumetor, Gabriela Thea Sajow, Daniel William Niode, Evi Rinawati Simanjuntak
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Abstract

Chatbots have become transformative technology in the banking industry. However, there is still a knowledge gap in understanding the influence of social contagion on chatbot user behavior. This research aims to identify and analyze the intention to use chatbots based on the synthesis of technology adoption and social contagion theories. The research method used is quantitative, employing a survey approach and collecting data through online questionnaires from 300 chatbot users in private banks in Manado. Data analysis was conducted using smartPLS. The research results indicate that factors such as Perceived Effectiveness, Perceived Ease of Use, and Coercive Pressure significantly influence users' intention to continue using chatbots. However, normative pressure and mimicry do not have a significant impact. These findings provide an important contribution to theoretical understanding and practical application in the sustainable use of chatbots in the banking industry, which can assist banks in designing more effective marketing strategies and services.
基于传染的聊天机器人使用意向:综合技术采用和社会传染理论
聊天机器人已成为银行业的变革性技术。然而,在理解社会传染对聊天机器人用户行为的影响方面仍存在知识空白。本研究旨在综合技术采用理论和社会传染理论,对聊天机器人的使用意向进行识别和分析。采用的研究方法是定量研究,采用调查方法,通过在线问卷向万鸦老私人银行的 300 名聊天机器人用户收集数据。数据分析使用 smartPLS 进行。研究结果表明,"感知有效性"、"感知易用性 "和 "强制压力 "等因素对用户继续使用聊天机器人的意向有显著影响。然而,规范压力和模仿并没有产生重大影响。这些发现为银行业持续使用聊天机器人的理论理解和实际应用做出了重要贡献,有助于银行设计更有效的营销策略和服务。
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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