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Understanding the attitude and intention to use smartphone chatbots for shopping

机译:了解使用Smartphone Chatbots购物的态度和意图

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摘要

Using the technology acceptance model and diffusion of innovations theory, this study evaluated the intention of consumers to use chatbots on smartphones for shopping. Chatbot is a relatively new technology and is expected to dominate mobile commerce and shopping applications in future. Hence, this study aimed to determine the association of perceived usefulness, perceived ease of use, perceived enjoyment, price consciousness, perceived risk, trust, and personal innovativeness with attitude and intention to use chatbots for shopping. Respondents were asked to fill a questionnaire after using a Facebook e-commerce chatbot that was specifically created for this study. In total, 350 responses were analyzed using partial least squares structural equation modeling. Results indicated that attitude toward chatbots was considerably influenced by the variables perceived usefulness, perceived ease of use, perceived enjoyment, price consciousness, perceived risk, and personal innovativeness. However, intention to use was directly influenced only by trust, personal innovativeness, and attitude. Mediation analysis indicated that full mediation occurs through the attitude variable for most direct relationships. Moderation analysis by using age, gender, and prior experience with mobile shopping applications indicated considerable differences between the groups in terms of the strength of certain relationships and the mean responses between the variables.
机译:使用技术验收模型和创新理论的扩散,这项研究评估了消费者在智能手机上使用聊天的意图。 Chatbot是一种相对较新的技术,预计将来主导移动商务和购物应用。因此,本研究旨在确定感知的有用性,感知易用性,感知享受,价格意识,感知,信任和个人创新,与使用聊天的意图进行购物。要求受访者在使用专门为本研究创建的Facebook电子商务聊天之后填写调查问卷。总共使用部分最小二乘结构方程建模分析350个响应。结果表明,对聊天态度的态度受到令人欣然的有用性,感知易用,感知享受,价格意识,感知风险和个人创新的影响。但是,使用的意图只能通过信任,个人创新和态度直接影响。调解分析表明,通过最直接关系的态度变量发生完整的调解。使用年龄,性别和移动购物应用的年龄,性别和现有经验的适度分析表明,在某些关系的强度和变量之间的平均反应方面,群体之间的差异相当差异。

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