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A readiness assessment framework for the adoption of 5G based smart-living services

Author

Listed:
  • Mirjana Stojanović

    (University of Belgrade Faculty of Organizational Sciences)

  • Miloš Radenković

    (Union University)

  • Snežana Popović

    (Union University)

  • Svetlana Mitrović

    (Educons University)

  • Zorica Bogdanović

    (University of Belgrade Faculty of Organizational Sciences)

Abstract

The subject of this article is to analyze the users’ attitude towards new, 5G-enabled smart living services before their commercial launch. The goal is to offer a framework for the analysis and evaluation of influential factors in the early adoption of 5G residential services. Additionally, the paper examines how mobile operators can leverage their existing infrastructure and services to boost the acceptance of both 5G as a technology and the provided smart-living services. To ascertain the potential impact that mobile operators can have on the adoption of such services, loyalty programs were taken into account as a separate factor in the acceptance study. The study was conducted in Serbia in the form of a survey. The analysis of the results yielded some notable conclusions such as trust in technology playing the leading role in influencing the behavior intention, while loyalty programs showed that they can influence attitudes towards individual smart living services. The presented results can be used to shape any future implementation of 5G-based services in Serbia, or any other country whose 5G infrastructure and services for the residential customer segment are yet to be established.

Suggested Citation

  • Mirjana Stojanović & Miloš Radenković & Snežana Popović & Svetlana Mitrović & Zorica Bogdanović, 2023. "A readiness assessment framework for the adoption of 5G based smart-living services," Information Systems and e-Business Management, Springer, vol. 21(2), pages 389-413, June.
    • Handle: RePEc:spr:infsem:v:21:y:2023:i:2:d:10.1007_s10257-023-00625-3
    DOI: 10.1007/s10257-023-00625-3
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    References listed on IDEAS

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    1. Tamilmani, Kuttimani & Rana, Nripendra P. & Wamba, Samuel Fosso & Dwivedi, Rohita, 2021. "The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation," International Journal of Information Management, Elsevier, vol. 57(C).
    2. Alalwan, Ali Abdallah & Dwivedi, Yogesh K. & Rana, Nripendra P., 2017. "Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust," International Journal of Information Management, Elsevier, vol. 37(3), pages 99-110.
    3. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    4. Paraskevi Giourka & Mark W. J. L. Sanders & Komninos Angelakoglou & Dionysis Pramangioulis & Nikos Nikolopoulos & Dimitrios Rakopoulos & Athanasios Tryferidis & Dimitrios Tzovaras, 2019. "The Smart City Business Model Canvas—A Smart City Business Modeling Framework and Practical Tool," Energies, MDPI, vol. 12(24), pages 1-17, December.
    5. Pal, Debajyoti & Zhang, Xiangmin & Siyal, Saeed, 2021. "Prohibitive factors to the acceptance of Internet of Things (IoT) technology in society: A smart-home context using a resistive modelling approach," Technology in Society, Elsevier, vol. 66(C).
    6. Dhwani Agrawal & Natalia Jureczek & Gajane Gopalakrishnan & Margaret Natalie Guzman & Michael McDonald & Henry Kim, 2018. "Loyalty Points on the Blockchain," Business and Management Studies, Redfame publishing, vol. 4(3), pages 80-92, September.
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