对数字语音助手的信任:公司和客户参与语音商务的基本决定因素

Carsten D. Schultz, Friederike Paetz
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引用次数: 0

摘要

语音购物,即通过与数字语音助手的对话互动进行购物,目前正在兴起,但在德国仍处于起步阶段。在语音商务的背景下,公司可以利用数字语音助手作为额外的沟通和分销渠道。然而,用户进入语音购物的关键是他们是否采用数字语音助手。在这种背景下,隐私问题是数字语音助手传播和接受的主要挑战,阻碍了语音购物的发展。与过去电子商务的出现类似,信任似乎是人们愿意使用数字语音助手并参与基于语音的交互和交易的最终和决定性因素。我们将信任类型学与已建立的技术接受模型结合起来,建立了一个模型,应用于数字语音助手的背景下。在一项实证研究中,我们测试了我们的模型,发现信任降低了感知到的隐私风险,并积极影响用户对数字语音助手的态度和意图以及随后的使用。我们发现使用数字语音助手的各种信任途径是用户采用的必要条件。我们的研究结果为数字语音助手的传播以及随后将语音商务引入公司的商业模式提供了重要的先例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust in Digital Voice Assistants: A Fundamental Determinant for Companies’ and Customers’ Engagement in Voice Commerce
Voice shopping, i.e., shopping via conversational interactions with digital voice assistants, is currently on the rise but still in its infancy in Germany. In the context of voice commerce, companies may utilize digital voice assistants as an additional communication and distribution channel. However, users’ entry into voice shopping is crucially determined by their adoption of digital voice assistants. In this context, privacy concerns are the primary challenge for the dissemination and acceptance of digital voice assistants impeding the advancement of voice shopping. Similar to the past emergence of electronic commerce, trust seems to be the ultimate and decisive factor for the willingness to use digital voice assistants and engage in voice-based interactions and transactions. We set up a model by combining the typology of trust with the established technology acceptance model applied to the context of digital voice assistants. In an empirical study, we test our model and found that, e.g., trust reduces perceived privacy risks and positively influences users’ attitudes and intentions towards and subsequently use of digital voice assistants. We found various routes of trust in the use of digital voice assistants as a necessary condition for users’ adoption. Our results provide insights into important antecedents for the dissemination of digital voice assistants and subsequently for the adoption of voice commerce into companies’ business models.
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