Author
Listed:
- Nada Mallah Boustani
(LEFMI - Laboratoire d’Économie, Finance, Management et Innovation - UR UPJV 4286 - UPJV - Université de Picardie Jules Verne)
- Qing Xu
(LITL - Laboratoire Interdisciplinaire des transitions de Lille - UCL FGES - Université Catholique de Lille - Faculté de gestion, économie et sciences - ICL - Institut Catholique de Lille - UCL - Université catholique de Lille - JUNIA - JUNIA - UCL - Université catholique de Lille)
- Yan Xu
(Faculty of Business And Law, Manchester Metropolitan University,)
Abstract
Due to tremendous technological breakthroughs, an increasing number of cities are transforming into "smart cities" utilizing the Internet of Things (IOT), artificial intelligence, or other information technologies. The Chinese government announced that the development of "digital cities smart cities" was a national priority. The goal of this study is to examine the success variables that can influence IOT service adoption aspirations while also serving as a mediator for enhanced security via blockchain technologies. A conceptual model is created with a strong theoretical underpinning and body of literature. The final sample consisted of 1008 participants. This study uses the partial least squares structural equation modelling (PLS-SEM model) to test and analyze the impact of identified variables on the continuous usage intention (CUI) of IOT-based public services. Our findings show that blockchain adoption in smart cities fully mediates the effect of the IOT on CUI and shed the light on the importance of the trust, empowerment, and social influence since the continuous usage intention of the IOT in smart cities is mainly influenced by these factors and enhanced by the application of blockchain.
Suggested Citation
Nada Mallah Boustani & Qing Xu & Yan Xu, 2022.
"Getting Smarter: Blockchain and IOT Mixture in China Smart Public Services,"
Post-Print
hal-04077761, HAL.
Handle:
RePEc:hal:journl:hal-04077761
DOI: 10.3390/smartcities5040090
Note: View the original document on HAL open archive server: https://hal.science/hal-04077761v1
Download full text from publisher
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