Drivers of 5G technology acceptance: a Bayesian approach

5G, or the internet of the 5th generation, is the newest technology that will play a more significant role in our lives than previous generations. The internet of the 5th generation not only connects humans but also connects machines and objects to each other and controls them. This level of efficiency enhances the user's experience and helps understand a new level of technology. Nevertheless, the successful application of 5G technologies is fundamentally influenced by the extent to which users are encouraged to accept it. Therefore, this research intends to explore drivers of 5G technology adoption. A total of 518 students from Iran and the USA were surveyed via a multistage stratified random sampling. The Bayesian approach and structural equation modelling were used for data analyses. Results indicated that self-efficacy, subjective norms, compatibility, trust, and relative advantages significantly influenced the intention to accept 5G technology.

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Publication Details

Journal
European J of International Management
Published
2025-12-13
DOI
https://doi.org/10.1504/ejim.2026.150363
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
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article

Drivers of 5G technology acceptance: a Bayesian approach

European J of International Management
Technology Adoption and User Behaviour
article

Drivers of 5G technology acceptance: a Bayesian approach

article en

Abstract

5G, or the internet of the 5th generation, is the newest technology that will play a more significant role in our lives than previous generations. The internet of the 5th generation not only connects humans but also connects machines and objects to each other and controls them. This level of efficiency enhances the user's experience and helps understand a new level of technology. Nevertheless, the successful application of 5G technologies is fundamentally influenced by the extent to which users are encouraged to accept it. Therefore, this research intends to explore drivers of 5G technology adoption. A total of 518 students from Iran and the USA were surveyed via a multistage stratified random sampling. The Bayesian approach and structural equation modelling were used for data analyses. Results indicated that self-efficacy, subjective norms, compatibility, trust, and relative advantages significantly influenced the intention to accept 5G technology.

European J of International ManagementVol. 28(1)
Tarbiat Modares University (IR), The University of Queensland (AU), University of Tehran (IR), Georgia Southern University (US), Payame Noor University (IR)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Technology Adoption and User Behaviour
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