IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i2p602-d477859.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/2/602/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/2/602/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karim Darban & Smail Kabbaj & Mostafa El Jay, 2023. "The Transformative Potential of AI in Green Marketing Strategies," Post-Print hal-04523586, HAL.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jaspers, Esther D.T. & Pearson, Erika, 2022. "Consumers’ acceptance of domestic Internet-of-Things: The role of trust and privacy concerns," Journal of Business Research, Elsevier, vol. 142(C), pages 255-265.
    2. Brusch, Ines & Rappel, Nina, 2020. "Exploring the acceptance of instant shopping – An empirical analysis of the determinants of user intention," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    3. Kathrin Dudenhöffer, 2013. "Why electric vehicles failed," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 95-124, July.
    4. John A. Aloysius & Hartmut Hoehle & Soheil Goodarzi & Viswanath Venkatesh, 2018. "Big data initiatives in retail environments: Linking service process perceptions to shopping outcomes," Annals of Operations Research, Springer, vol. 270(1), pages 25-51, November.
    5. Hsiao, Chun Hua & Yang, Chyan, 2011. "The intellectual development of the technology acceptance model: A co-citation analysis," International Journal of Information Management, Elsevier, vol. 31(2), pages 128-136.
    6. Wen-Lung Shiau & Yogesh K. Dwivedi, 2013. "Citation and co-citation analysis to identify core and emerging knowledge in electronic commerce research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1317-1337, March.
    7. Ofir Turel & Catherine E. Connelly, 2012. "Team Spirit: The Influence of Psychological Collectivism on the Usage of E-Collaboration Tools," Group Decision and Negotiation, Springer, vol. 21(5), pages 703-725, September.
    8. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    9. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    10. Gabriel JIPA, 2018. "Mobile Applications Buying Opinions Exploration using Topic Modeling," Expert Journal of Economics, Sprint Investify, vol. 6(2), pages 44-55.
    11. Morgan-Thomas, Anna & Veloutsou, Cleopatra, 2013. "Beyond technology acceptance: Brand relationships and online brand experience," Journal of Business Research, Elsevier, vol. 66(1), pages 21-27.
    12. Grace Fox & Lisa van der Werff & Pierangelo Rosati & Patricia Takako Endo & Theo Lynn, 2022. "Examining the determinants of acceptance and use of mobile contact tracing applications in Brazil: An extended privacy calculus perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(7), pages 944-967, July.
    13. Shafiqul Islam & Mohammad Fakhrul Islam & Noor-E- Zannat, 2023. "Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    14. Yang, Byunghwa & Kim, Youngchan & Yoo, Changjo, 2013. "The integrated mobile advertising model: The effects of technology- and emotion-based evaluations," Journal of Business Research, Elsevier, vol. 66(9), pages 1345-1352.
    15. Minseok Choi & Kyeongseok Han & Jeongil Choi, 2015. "The effects of product attributes and service quality of transportation card solutions on service user’s continuance and word-of-mouth intention," Service Business, Springer;Pan-Pacific Business Association, vol. 9(3), pages 463-490, September.
    16. Shaik, Aqueeb Sohail & Nazrul, Asif & Alshibani, Safiya Mukhtar & Agarwal, Vaishali & Papa, Armando, 2024. "Environmental and economical sustainability and stakeholder satisfaction in SMEs. Critical technological success factors of big data analytics," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    17. Yang-Chieh Chin, 2016. "Consumer Acceptance of Online Complaint Forms: An Integration of TPB, TAM and Values Perspective," Business and Economic Research, Macrothink Institute, vol. 6(2), pages 265-279, December.
    18. Cao, XinYu & Mokhtarian, Patricia L, 2005. "The Intended and Actual Adoption of Online Purchasing: A Brief Review of Recent Literature," Institute of Transportation Studies, Working Paper Series qt095934s0, Institute of Transportation Studies, UC Davis.
    19. Donglin Han & Huiying (Cynthia) Hou & Hao Wu & Joseph H. K. Lai, 2021. "Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:602-:d:477859. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.