IDEAS home Printed from https://ideas.repec.org/a/spr/elmark/v31y2021i4d10.1007_s12525-021-00458-3.html
   My bibliography  Save this article

Understanding continued smartwatch usage: the role of emotional as well as health and fitness factors

Author

Listed:
  • Carolin Siepmann

    (University of Duisburg-Essen)

  • Pascal Kowalczuk

    (University of Duisburg-Essen)

Abstract

Smartwatches are the most popular wearable device and increasingly subject to empirical research. In recent years, the focus has shifted from revealing determinants of smartwatch adoption to understanding factors that cause long-term usage. Despite their importance for personal fitness, health monitoring, and for achieving health and fitness goals, extant research on the continuous use intention of smartwatches mostly disregards health and fitness factors. Grounding on self-determination theory, this study addresses this gap and investigates the impact of health and fitness as well as positive and negative emotional factors encouraging or impeding consumers to continuously use smartwatches. We build upon the expectation-confirmation model (ECM) and extend it with emotional (device annoyance and enjoyment) as well as health and fitness factors (goal pursuit motivation and self-quantification behavior). We use structural equation modeling to validate our model based on 335 responses from actual smartwatch users. Results prove the applicability of the ECM to the smartwatch context and highlight the importance of self-quantification as a focal construct for explaining goal pursuit motivation, perceived usefulness, confirmation and device annoyance. Further, we identify device annoyance as an important barrier to continuous smartwatch use. Based on our results, we finally derive implications for researchers and practitioners alike.

Suggested Citation

  • Carolin Siepmann & Pascal Kowalczuk, 2021. "Understanding continued smartwatch usage: the role of emotional as well as health and fitness factors," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 795-809, December.
  • Handle: RePEc:spr:elmark:v:31:y:2021:i:4:d:10.1007_s12525-021-00458-3
    DOI: 10.1007/s12525-021-00458-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12525-021-00458-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12525-021-00458-3?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Jaeki Song & Junghwan Kim & Kwangmin Cho, 2018. "Understanding users’ continuance intentions to use smart-connected sports products," Sport Management Review, Taylor & Francis Journals, vol. 21(5), pages 477-490, December.
    3. 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.
    4. Henry Kaiser, 1970. "A second generation little jiffy," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 401-415, December.
    5. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    6. Lee, Sang Yup & Lee, Keeheon, 2018. "Factors that influence an individual's intention to adopt a wearable healthcare device: The case of a wearable fitness tracker," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 154-163.
    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. Nila Armelia Windasari & Fu-ren Lin, 2021. "Why Do People Continue Using Fitness Wearables? The Effect of Interactivity and Gamification," SAGE Open, , vol. 11(4), pages 21582440211, November.
    2. Cenamor, Javier, 2022. "Use of health self-management platform features: The case of a specialist ehealth app," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    3. Edith Maier & Ulrich Reimer & Nilmini Wickramasinghe, 2021. "Digital healthcare services," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 743-746, December.
    4. Xin Liao & Dongming Wu & Qianqian Zhang & Ge Han, 2021. "How to Improve Users’ Loyalty to Smart Health Devices? The Perspective of Compatibility," Sustainability, MDPI, vol. 13(19), pages 1-17, September.

    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. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    2. Chenming Peng & Hong Zhao & Sha Zhang, 2021. "Determinants and Cross-National Moderators of Wearable Health Tracker Adoption: A Meta-Analysis," Sustainability, MDPI, vol. 13(23), pages 1-16, December.
    3. Xin Liao & Dongming Wu & Qianqian Zhang & Ge Han, 2021. "How to Improve Users’ Loyalty to Smart Health Devices? The Perspective of Compatibility," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    4. Westmattelmann, Daniel & Grotenhermen, Jan-Gerrit & Sprenger, Marius & Rand, William & Schewe, Gerhard, 2021. "Apart we ride together: The motivations behind users of mixed-reality sports," Journal of Business Research, Elsevier, vol. 134(C), pages 316-328.
    5. Baudier, Patricia & Ammi, Chantal & Hikkerova, Lubica, 2022. "Impact of advertising on users’ perceptions regarding the Internet of things," Journal of Business Research, Elsevier, vol. 141(C), pages 355-366.
    6. Wee-Kheng Tan & Ping-Hsin Liao, 2021. "What triggers usage of gift-giving apps? A comparison between users and non-users," Service Business, Springer;Pan-Pacific Business Association, vol. 15(3), pages 515-538, September.
    7. Tahlyan, Divyakant & Said, Maher & Mahmassani, Hani & Stathopoulos, Amanda & Walker, Joan & Shaheen, Susan, 2022. "For whom did telework not work during the Pandemic? understanding the factors impacting telework satisfaction in the US using a multiple indicator multiple cause (MIMIC) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 387-402.
    8. Sati Bozkurt & Gizem B. Ekitli & Christopher L. Thomas & Jerrell C. Cassady, 2017. "Validation of the Turkish Version of the Cognitive Test Anxiety Scale–Revised," SAGE Open, , vol. 7(1), pages 21582440166, January.
    9. Ronald T. Cenfetelli & Andrew Schwarz, 2011. "Identifying and Testing the Inhibitors of Technology Usage Intentions," Information Systems Research, INFORMS, vol. 22(4), pages 808-823, December.
    10. Lau Lilleholt & Ingo Zettler & Cornelia Betsch & Robert Böhm, 2023. "Development and validation of the pandemic fatigue scale," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    11. Raf Buyle & Mathias Van Compernolle & Eveline Vlassenroot & Ziggy Vanlishout & Peter Mechant & Erik Mannens, 2018. "“Technology Readiness and Acceptance Model” as a Predictor for the Use Intention of Data Standards in Smart Cities," Media and Communication, Cogitatio Press, vol. 6(4), pages 127-139.
    12. Sonia Nawrocka & Hans De Witte & Margherita Pasini & Margherita Brondino, 2023. "A Person-Centered Approach to Job Insecurity: Is There a Reciprocal Relationship between the Quantitative and Qualitative Dimensions of Job Insecurity?," IJERPH, MDPI, vol. 20(7), pages 1-27, March.
    13. Md. Mominur Rahman & Bilkis Akhter, 2021. "The impact of investment in human capital on bank performance: evidence from Bangladesh," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    14. Andrea C Vial & Janine Bosak & Patrick C Flood & John F Dovidio, 2021. "Individual variation in role construal predicts responses to third-party biases in hiring contexts," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-28, February.
    15. Masashi Soga & Kevin J. Gaston & Yuichi Yamaura & Kiyo Kurisu & Keisuke Hanaki, 2016. "Both Direct and Vicarious Experiences of Nature Affect Children’s Willingness to Conserve Biodiversity," IJERPH, MDPI, vol. 13(6), pages 1-12, May.
    16. César Merino-Soto & Gina Chávez-Ventura & Verónica López-Fernández & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    17. Siwarit Pongsakornrungsilp & Pimlapas Pongsakornrungsilp & Theeranuch Pusaksrikit & Pimmada Wichasin & Vikas Kumar, 2021. "Co-Creating a Sustainable Regional Brand from Multiple Sub-Brands: The Andaman Tourism Cluster of Thailand," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    18. Wenzel, Stefan, 2014. "App'ification of Enterprise Software - Evaluating Mobile App Characteristics Enabling Online Purchase And Their Portability To Enterprise Application Software," EconStor Preprints 146785, ZBW - Leibniz Information Centre for Economics.
    19. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    20. Bangyi Yan & Shiguang Ni & Xi Wang & Jin Liu & Qianjing Zhang & Kaiping Peng, 2020. "Using Virtual Reality to Validate the Chinese Version of the Independent Television Commission-Sense of Presence Inventory," SAGE Open, , vol. 10(2), pages 21582440209, May.

    More about this item

    Keywords

    Smartwatches; Continuance intention; Expectation-confirmation model; Self-determination theory; Self-quantification; Device annoyance;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    Statistics

    Access and download statistics

    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:spr:elmark:v:31:y:2021:i:4:d:10.1007_s12525-021-00458-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.