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Determinants of users’ continuance intention toward digital innovations: Are late adopters different?

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  • Jahanmir, Sara F.
  • Silva, Graça Miranda
  • Gomes, Paulo J.
  • Gonçalves, Helena Martins

Abstract

This study examines the users of digital innovations with covariance-based structural equation modeling (CBSEM) and a fuzzy-set qualitative comparative analysis (fsQCA) to understand the factors that drive their continuance intention. We examine the interplay between the perceptual factors related to the user experience with a digital product and personal factors that characterize late adoption. The findings highlight that perceived radicalness is a core condition to achieve the users’ continuance intention in a digital context. The findings contribute to theory by providing a better understanding of how personal factors in adoption interact with other determinants of the continuance intention. The study also presents practical implications. The results show that in the case of late adopters, firms should invest in both the radicalness and high system quality of their digital innovations.

Suggested Citation

  • Jahanmir, Sara F. & Silva, Graça Miranda & Gomes, Paulo J. & Gonçalves, Helena Martins, 2020. "Determinants of users’ continuance intention toward digital innovations: Are late adopters different?," Journal of Business Research, Elsevier, vol. 115(C), pages 225-233.
    • Handle: RePEc:eee:jbrese:v:115:y:2020:i:c:p:225-233
    DOI: 10.1016/j.jbusres.2019.11.010
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    2. Wang, Nan & Xie, Wenxuan & Ali, Ahsan & Brem, Alexander & Wang, Shouyang, 2022. "How do individual characteristics and social capital shape users’ continuance intentions of smart wearable products?," Technology in Society, Elsevier, vol. 68(C).
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    5. Desheng Yu & Lihua Yang & Yuping Xu, 2022. "The Impact of the Digital Economy on High-Quality Development: An Analysis Based on the National Big Data Comprehensive Test Area," Sustainability, MDPI, vol. 14(21), pages 1-20, November.

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