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Siri, Do I like You? Digital Voice Assistants and Their Acceptance by Consumers

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  • Ewers, Karolina
  • Baier, Daniel
  • Höhn, Nadine

Abstract

Nowadays, digital voice assistants (DVAs) such as Amazon’s Alexa, Google’s Assistant, or Apple’s Siri provide speech-oriented human-computer interfaces that have the potential to make consumers’ interaction with other consumers, firms, or devices more convenient, enjoyable, and productive. However, at least currently, DVA acceptance is limited, even among digital natives and corresponding explanations are missing. This paper seeks to close this gap by investigating which factors have an impact on DVA acceptance. Therefore, we develop a new approach that combines elements of the Technology Acceptance Model (TAM) as well as the Uses and Gratifications Approach (UGA). A sample of 283 digital natives participated in a Siri field experiment. The results demonstrate that especially enjoyment, but also social status and social influence are main DVA acceptance drivers. Nevertheless, Millennials have some privacy concerns about companies getting too much personal information while using DVAs. This study provides valuable insights into main drivers of DVA acceptance. Theoretical and practical implications are discussed.

Suggested Citation

  • Ewers, Karolina & Baier, Daniel & Höhn, Nadine, 2020. "Siri, Do I like You? Digital Voice Assistants and Their Acceptance by Consumers," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 4(1), pages 52-68.
    • Handle: RePEc:nms:nomsmr:10.15358/2511-8676-2020-1-52
    DOI: 10.15358/2511-8676-2020-1-52
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    1. Lee, Lorraine & Petter, Stacie & Fayard, Dutch & Robinson, Shani, 2011. "On the use of partial least squares path modeling in accounting research," International Journal of Accounting Information Systems, Elsevier, vol. 12(4), pages 305-328.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Rauschnabel, Philipp A. & He, Jun & Ro, Young K., 2018. "Antecedents to the adoption of augmented reality smart glasses: A closer look at privacy risks," Journal of Business Research, Elsevier, vol. 92(C), pages 374-384.
    4. Abide Coskun-Setirek & Sona Mardikyan, 2017. "Understanding the Adoption of Voice Activated Personal Assistants," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 9(3), pages 1-21, July.
    5. Iris A Junglas & Norman A Johnson & Christiane Spitzmüller, 2008. "Personality traits and concern for privacy: an empirical study in the context of location-based services," European Journal of Information Systems, Taylor & Francis Journals, vol. 17(4), pages 387-402, August.
    6. Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    7. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    8. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    9. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
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    1. Böhm, Eva & Eggert, Andreas & Garnefeld, Ina & Holzmüller, Hartmut H. & Schaefers, Tobias & Steinhoff, Lena & Woisetschläger, David M., 2022. "Exploring the Customer Journey of Voice Commerce: A Research Agenda," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 6(4), pages 216-231.

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