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Sociodemographic impact on smart cities IoT adoption in China

Author

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  • Nada Mallah Boustani

    (USJ - Université Saint-Joseph de Beyrouth, LEFMI - Laboratoire d’Économie, Finance, Management et Innovation - UR UPJV 4286 - UPJV - Université de Picardie Jules Verne)

  • Qing Xu
  • Yang Xu

Abstract

Digital disruption is one of the most important social megatrends that deeply impact recent and future economic activities. IoT has contributed to the development of Chinese smart cities in recent years. Building on the authors' prior study (Boustani, Xu, & Xu, 2022), which established the mediating role of blockchain adoption between IoT and continuous usage intention, this study investigates how sociodemographic variables moderate these relationships. The authors use Partial Least Squares Structural Equation Modeling (PLS-SEM) and Partial Least Squares Multi-Group Analysis (PLS-MGA) with the SmartPLS software, analyzing a dataset comprising over a thousand samples in China. The authors' findings demonstrate that age positively moderates the blockchain adoption-continuous usage intention relationship, IoT knowledge positively moderates the citizen empowerment-IoT relationship, while frequency of IoT use negatively moderates the social influence-IoT relationship. These results extend UTAUT theory by revealing boundary conditions of technology adoption in smart cities.

Suggested Citation

  • Nada Mallah Boustani & Qing Xu & Yang Xu, 2025. "Sociodemographic impact on smart cities IoT adoption in China," Post-Print hal-05157876, HAL.
    • Handle: RePEc:hal:journl:hal-05157876
    DOI: 10.1016/j.digbus.2025.100139
    as

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