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Modelling user behavior towards smartphones and wearable technologies: A bibliometric study and brief literature review

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  • Maral Jamalova

Abstract

The study uses bibliometric as well as content analysis to determine the current situation regarding the application of technology adoption models (i.e., the Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology, and Innovation Diffusion Theory) to the smartphone market that also includes smart wearables. Hereby the author would like to determine the connection between smartphone usage and adoption models and enrich literature by defining state-of-the-art tendencies and approaches. To achieve the goal, the author applied a two-stage approach: in the first stage, 213 articles were analyzed using Citation and Bibliographic coupling tools in VOSviewer (1.6.20). The papers were selected from the Scopus database and the search of the papers was conducted in the fields of Economics, Business, and Computer technologies. In the second stage, the author conducted a brief literature review of the most influential papers. The results illustrate the situation regarding the implementation of different models in the case of smartphone adoption. Content analyses of the most influential papers were applied to explain and enrich the results of bibliometric analyses as well as determine research gaps and future research development.

Suggested Citation

  • Maral Jamalova, 2024. "Modelling user behavior towards smartphones and wearable technologies: A bibliometric study and brief literature review," Papers 2405.01137, arXiv.org.
  • Handle: RePEc:arx:papers:2405.01137
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    References listed on IDEAS

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    1. Carlos Tam & Diogo Santos & Tiago Oliveira, 2020. "Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model," Information Systems Frontiers, Springer, vol. 22(1), pages 243-257, February.
    2. Kevin W. Boyack & Richard Klavans, 2010. "Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    4. Kaur, Puneet & Dhir, Amandeep & Bodhi, Rahul & Singh, Tripti & Almotairi, Mohammad, 2020. "Why do people use and recommend m-wallets?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    5. Kevin W. Boyack & Richard Klavans, 2010. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    6. Daejoong Kim & Heasun Chun & Hyunjoo Lee, 2014. "Determining the factors that influence college students' adoption of smartphones," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(3), pages 578-588, March.
    7. 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.
    8. Pham, Thanh-Thao T. & Ho, Jonathan C., 2015. "The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments," Technology in Society, Elsevier, vol. 43(C), pages 159-172.
    9. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    10. Agrebi, Sinda & Jallais, Joël, 2015. "Explain the intention to use smartphones for mobile shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 16-23.
    11. Shaw, Norman, 2014. "The mediating influence of trust in the adoption of the mobile wallet," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 449-459.
    12. Maral Jamalova & Milán Constantinovits, 2021. "The Influence of Gender on Smartphone Adoption of Young Adults in Hungary: Extending the UTAUT2 With Brand Awareness," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 17(3), pages 47-65, July.
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