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Sustainability Calculus in Adopting Smart Speakers—Personalized Services and Privacy Risks

Author

Listed:
  • Hoon S. Cha

    (Department of Information and Decision Sciences, Perdue School of Business, Salisbury University, Salisbury, MD 21804, USA)

  • Jong Hyun Wi

    (College of Business and Economics, Chung-Ang University, Dongjak-gu, Seoul 06974, Korea)

  • Chanhi Park

    (College of Business and Economics, Chung-Ang University, Dongjak-gu, Seoul 06974, Korea)

  • Taeha Kim

    (College of Business and Economics, Chung-Ang University, Dongjak-gu, Seoul 06974, Korea)

Abstract

Despite the benefits of using smart speakers, serious privacy concerns have been raised, particularly due to their constantly listening microphones. Given the mixture of the advantages and risks deciding whether to use them is not an easy matter, casting a doubt about sustainable growth and development of smart speakers. Using a sample of 559 users in South Korea and the U.S., we empirically investigated the dilemma of users seeking to adopt smart speakers. The results revealed users’ perceived usefulness and enjoyment positively influenced the intention to adopt smart speakers. No direct effect of perceived ease of use was found but this effect was completely mediated by perceived usefulness and enjoyment. Perceived enjoyment was found to be twice as strong as perceived usefulness in determining the usage intention, confirming the hedonic aspect of smart speakers. Conversely, perceived privacy risks were shown to be a significant negative factor. This negative impact was significantly stronger in the U.S. than in South Korea. We could infer that the more mature the stage of acceptance of smart speakers, the greater the sensitivity of users to privacy risks. Lastly, in the South Korean sample, we found that the perceived usefulness could reduce the negative impact of perceived risks on the intention. to adopt smart speakers.

Suggested Citation

  • Hoon S. Cha & Jong Hyun Wi & Chanhi Park & Taeha Kim, 2021. "Sustainability Calculus in Adopting Smart Speakers—Personalized Services and Privacy Risks," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:602-:d:477859
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    References listed on IDEAS

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    1. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    4. Hanna Krasnova & Natasha Veltri & Oliver Günther, 2012. "Self-disclosure and Privacy Calculus on Social Networking Sites: The Role of Culture," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(3), pages 127-135, June.
    5. Mary J. Culnan & Pamela K. Armstrong, 1999. "Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation," Organization Science, INFORMS, vol. 10(1), pages 104-115, February.
    6. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    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.
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    Cited by:

    1. Eunji Lee & Jin-young Kim & Junchul Kim & Chulmo Koo, 2023. "Information Privacy Behaviors during the COVID-19 Pandemic: Focusing on the Restaurant Context," Information Systems Frontiers, Springer, vol. 25(5), pages 1829-1845, October.

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