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Success Comes to Those Who Are Successful: The Influence of Past Product Expectation Confirmation on Smartwatch Usage

In: The Drivers of Wearable Device Usage

Author

Listed:
  • Alexander W. Ernst

    (Justus-Liebig-Universität Gießen)

  • Claus-Peter H. Ernst

    (Frankfurt University of Applied Sciences)

Abstract

Due to smartwatches’ usual strong functional dependence on other devices from the same manufacturer, we believe that Past Product Expectation Confirmation—which we describe as the extent to which a person believes that his/her expectations were satisfied by a specific manufacturer’s product portfolio in the past—influence people’s usage of smartwatches. After collecting 229 completed online questionnaires about the Apple Watch, and applying a structural equation modeling approach, our findings indicate that smartwatch usage is positively influenced by Perceived Usefulness. Past Product Expectation Confirmation was found to have a direct positive influence on the Behavioral Intention to Use smartwatches as well as an indirect positive influence on the Behavioral Intention to use smartwatches through Perceived Usefulness. These findings emphasize the importance of having strong product portfolios so that manufacturers can launch equally successful products in the future.

Suggested Citation

  • Alexander W. Ernst & Claus-Peter H. Ernst, 2016. "Success Comes to Those Who Are Successful: The Influence of Past Product Expectation Confirmation on Smartwatch Usage," Progress in IS, in: Claus-Peter H. Ernst (ed.), The Drivers of Wearable Device Usage, edition 1, pages 49-58, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-30376-5_5
    DOI: 10.1007/978-3-319-30376-5_5
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    Cited by:

    1. Zhigang Wang & Dan Fang & Xintao Liu & Lei Zhang & Hongyan Duan & Chao Wang & Kai Guo, 2023. "Consumer Acceptance of Sports Wearables: The Role of Products Attributes," SAGE Open, , vol. 13(3), pages 21582440231, July.
    2. Mazen El-Masri & Karim Al-Yafi & Muhammad Mustafa Kamal, 2023. "A Task-Technology-Identity Fit Model of Smartwatch Utilisation and User Satisfaction: A Hybrid SEM-Neural Network Approach," Information Systems Frontiers, Springer, vol. 25(2), pages 835-852, April.

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