IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i3p21582440231197067.html
   My bibliography  Save this article

Investigating the Determinants of IoT Device Continuance Intentions: An Empirical Study of Smart Speakers Through the Lens of Expectation-Confirmation Theory

Author

Listed:
  • Ming Xing Wang
  • Ki Su Kim
  • Jeoung Kun Kim

Abstract

IoT device market has grown rapidly in recent years, with many researches have been done to investigate the IoT devices’ adoption factors. However, it is crucial to understand how to maintain the users’ continuance intention. This study, based on the post-acceptance model of the Expectation Confirmation Model (ECM), investigates the impact of early-stage users’ personal traits (personal innovativeness), social influence (normative and informational), and familiarity, on the social diffusion of IoT devices (in particular, smart speakers) measured by the continuation intention of smart speakers. We tested the research model and hypotheses using data from 364 smart speaker users, analyzed with partial least square technique using Smart-PLS. The data analysis results revealed that satisfaction has a very strong and positive impact on continuance intention. Perceived usefulness, confirmation, and personal innovativeness are positively associated with continuance intention via satisfaction. Social influence, represented by normative and informational social influence, showed a significant positive impact on continuance intention, a high degree of familiarity weakens the influence of normative social influence on continuance intention; however, familiarity has no impact on the relationship between informational social influence and continuance intention.

Suggested Citation

  • Ming Xing Wang & Ki Su Kim & Jeoung Kun Kim, 2023. "Investigating the Determinants of IoT Device Continuance Intentions: An Empirical Study of Smart Speakers Through the Lens of Expectation-Confirmation Theory," SAGE Open, , vol. 13(3), pages 21582440231, September.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231197067
    DOI: 10.1177/21582440231197067
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231197067
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231197067?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    2. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    3. Koohang, Alex & Sargent, Carol Springer & Nord, Jeretta Horn & Paliszkiewicz, Joanna, 2022. "Internet of Things (IoT): From awareness to continued use," International Journal of Information Management, Elsevier, vol. 62(C).
    4. Bearden, William O & Netemeyer, Richard G & Teel, Jesse E, 1989. "Measurement of Consumer Susceptibility to Interpersonal Influence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(4), pages 473-481, March.
    5. Ling, Hsiao-Chi & Chen, Hong-Ren & Ho, Kevin K.W. & Hsiao, Kuo-Lun, 2021. "Exploring the factors affecting customers’ intention to purchase a smart speaker," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    6. Mitchell, Andrew A & Dacin, Peter A, 1996. "The Assessment of Alternative Measures of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(3), pages 219-239, December.
    7. Nascimento, Bruno & Oliveira, Tiago & Tam, Carlos, 2018. "Wearable technology: What explains continuance intention in smartwatches?," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 157-169.
    8. Bagozzi, Richard P & Yi, Youjae, 1991. "Multitrait-Multimethod Matrices in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 426-439, March.
    9. Bartels, Jos & Reinders, Machiel J., 2011. "Consumer innovativeness and its correlates: A propositional inventory for future research," Journal of Business Research, Elsevier, vol. 64(6), pages 601-609, June.
    10. Se-Joon Hong & Kar Yan Tam, 2006. "Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services," Information Systems Research, INFORMS, vol. 17(2), pages 162-179, June.
    11. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    12. Yu-Sheng Kao & Kazumitsu Nawata & Chi-Yo Huang, 2019. "An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers," IJERPH, MDPI, vol. 16(18), pages 1-31, September.
    13. Fu, Jen-Ruei & Lu, I-Wei & Chen, Jessica H.F. & Farn, Cheng-Kiang, 2020. "Investigating consumers’ online social shopping intention: An information processing perspective," International Journal of Information Management, Elsevier, vol. 54(C).
    14. Burnkrant, Robert E & Cousineau, Alain, 1975. "Informational and Normative Social Influence in Buyer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(3), pages 206-215, December.
    15. Leung, Louis & Chen, Cheng, 2019. "E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities," Telecommunications Policy, Elsevier, vol. 43(6), pages 563-575.
    Full references (including those not matched with items on IDEAS)

    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. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    2. Bangwool Han & Minho Kim, 2019. "Hofstede’s Collectivistic Values and Sustainable Growth of Online Group Buying," Sustainability, MDPI, vol. 11(4), pages 1-15, February.
    3. 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.
    4. Kee-Young Kwahk & Byoungsoo Kim, 2017. "Effects of social media on consumers’ purchase decisions: evidence from Taobao," Service Business, Springer;Pan-Pacific Business Association, vol. 11(4), pages 803-829, December.
    5. Ajao Qasim & Emad Abu-Shanab, 2016. "Drivers of mobile payment acceptance: The impact of network externalities," Information Systems Frontiers, Springer, vol. 18(5), pages 1021-1034, October.
    6. Yousaf, Anish & Mishra, Abhishek & Gupta, Anil, 2021. "‘From technology adoption to consumption’: Effect of pre-adoption expectations from fitness applications on usage satisfaction, continual usage, and health satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    7. Fong, Cher-Min & Chang, Hsing-Hua Stella & Lin, Mong-Ching & Chen, I-Hung, 2022. "Reexamining emerging market animosity toward western developed countries: A social dilemma in physical retailing consumption under normative influence," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    8. Lascu, Dana-Nicoleta & Bearden, William O. & Rose, Randall L., 1995. "Norm extremity and interpersonal influences on consumer conformity," Journal of Business Research, Elsevier, vol. 32(3), pages 201-212, March.
    9. Anbumathi, Rajendiran & Dorai, Sriram & Palaniappan, Umayal, 2023. "Evaluating the role of technology and non-technology factors influencing brand love in Online Food Delivery services," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    10. Wang, Shih-Ching & Lang, Mark, 2015. "The effects of special displays on shopping behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 23(C), pages 125-132.
    11. Liu, Chuang-Chun, 2016. "Understanding player behavior in online games: The role of gender," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 265-274.
    12. Arif Hasan & S. K. Gupta, 2020. "Exploring Tourists’ Behavioural Intentions Towards Use of Select Mobile Wallets for Digital Payments," Paradigm, , vol. 24(2), pages 177-194, December.
    13. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    14. Lorenz Graf-Vlachy & Katharina Buhtz & Andreas König, 2018. "Social influence in technology adoption: taking stock and moving forward," Management Review Quarterly, Springer, vol. 68(1), pages 37-76, February.
    15. Fernandes, Semila & Venkatesh, V.G. & Panda, Rajesh & Shi, Yangyan, 2021. "Measurement of factors influencing online shopper buying decisions: A scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    16. Jing Wang & Anocha Aribarg & Yves F. Atchadé, 2013. "Modeling Choice Interdependence in a Social Network," Marketing Science, INFORMS, vol. 32(6), pages 977-997, November.
    17. Hutzinger, Clemens & Weitzl, Wolfgang J., 2021. "Co-creation of online service recoveries and its effects on complaint bystanders," Journal of Business Research, Elsevier, vol. 130(C), pages 525-538.
    18. Semila Fernandes & V.G. Venkatesh & Rajesh Panda & Yangyan Shi, 2021. "Measurement of factors influencing online shopper buying decisions: A scale development and validation," Post-Print hal-04455597, HAL.
    19. Jiarong Shi & Zihao Jiang, 2023. "Willingness to pay a premium price for green products: does a reference group matter?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8699-8727, August.
    20. Zhang, Honghong & Fam, Kim-Shyan & Goh, Tiong-Thye & Dai, Xin, 2018. "When are influentials equally influenceable? The strength of strong ties in new product adoption," Journal of Business Research, Elsevier, vol. 82(C), pages 160-170.

    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:sae:sagope:v:13:y:2023:i:3:p:21582440231197067. 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: SAGE Publications (email available below). General contact details of provider: .

    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.