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Exploring the determinants of users’ continuance intention in smartwatches

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  • Bölen, Mehmet Cem

Abstract

The purpose of this study is to examine possible factors that influence continuance intention to use a smartwatch. The proposed research model is based on the expectation confirmation model adapted to include individual mobility, perceived aesthetics, and habit. The sample consisted of 348 actual users of smartwatches and structural equation modeling (SEM) was employed to test the research model. The results indicate that perceived aesthetics, satisfaction, individual mobility, and habit are associated with individuals’ continuance intention to use smartwatches. Surprisingly, perceived usefulness does not directly influence continuance intention of smartwatches. The implications for both theory and practice are provided based on the findings.

Suggested Citation

  • Bölen, Mehmet Cem, 2020. "Exploring the determinants of users’ continuance intention in smartwatches," Technology in Society, Elsevier, vol. 60(C).
  • Handle: RePEc:eee:teinso:v:60:y:2020:i:c:s0160791x19300910
    DOI: 10.1016/j.techsoc.2019.101209
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    References listed on IDEAS

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    1. Iviane Ramos-de-Luna & Francisco Montoro-Ríos & Francisco Liébana-Cabanillas, 2016. "Determinants of the intention to use NFC technology as a payment system: an acceptance model approach," Information Systems and e-Business Management, Springer, vol. 14(2), pages 293-314, May.
    2. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    3. Oghuma, Apollos Patricks & Chang, Younghoon & Libaque-Saenz, Christian Fernando & Park, Myeong-Cheol & Rho, Jae Jeung, 2015. "Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea," Telecommunications Policy, Elsevier, vol. 39(8), pages 658-677.
    4. Inès Chouk & Zied Mani, 2017. "Drivers of consumers’ resistance to smart products," Post-Print hal-02980400, HAL.
    5. 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.
    6. Premkumar, G. & Bhattacherjee, Anol, 2008. "Explaining information technology usage: A test of competing models," Omega, Elsevier, vol. 36(1), pages 64-75, February.
    7. Fleischmann, Marvin & Amirpur, Miglena & Grupp, Tillmann & Benlian, Alexander & Hess, Thomas, 2016. "The role of software updates in Information Systems continuance - An experimental study from a user perspective," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77128, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Nieroda, Marzena E. & Mrad, Mona & Solomon, Michael R., 2018. "How do consumers think about hybrid products? Computer wearables have an identity problem," Journal of Business Research, Elsevier, vol. 89(C), pages 159-170.
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