EconPapers    
Economics at your fingertips  
 

Getting Smarter: Blockchain and IOT Mixture in China Smart Public Services

Nada Mallah Boustani (), Qing Xu and Yan Xu
Additional contact information
Nada Mallah Boustani: LEFMI - Laboratoire d’Économie, Finance, Management et Innovation - UR UPJV 4286 - UPJV - Université de Picardie Jules Verne
Qing Xu: New York University [Abu Dhabi] - NYU - NYU System
Yan Xu: Jiangnan University

Post-Print from HAL

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.

Date: 2022-12
References: Add references at CitEc
Citations:

Published in Smart Cities, 2022, 5 (4), pp.1811-1828. ⟨10.3390/smartcities5040090⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04077761

DOI: 10.3390/smartcities5040090

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-03-19
Handle: RePEc:hal:journl:hal-04077761