Information communication technologies for smart cities: an examination of smart city ICTs on economic development with moderation of government policies

被引:0
作者
Liu Y. [1 ,2 ]
机构
[1] School of Marxism, Mianyang Normal University, Sichuan, Mianyang
[2] Guangming School of Journalism and Communication, China University of Political Science and Law, Beijing
关键词
economic development; government policies; ICTs; information communication technologies; smart cities; structure equation modelling;
D O I
10.1504/IJISCM.2023.136683
中图分类号
学科分类号
摘要
Information communication technologies (ICTs) for smart cities enhance the quality of life for residents by incorporating various evolving technologies. It utilises interconnected devices and distinct technologies to optimise energy consumption, improve transportation systems, manage waste efficiently, and enhance public safety. It is claimed that research on smart cities is emerging where experts are trying to uncover the influence of smart cities ICTs from various perspectives and domains, worldwide. This study endeavours to investigate the nexus among smart city ICTs such as IoT, big data analytics, AI, cloud computing, wireless communication, smart grids, intelligent transportation system, e-governance, smart building, smart health, cyber security, and smart education with respect to economic development (ED) from the context of China. This study also attempts to uncover the moderating influence of government policies (GPs) between ICTs for smart city and ED. This study confirmed a positive connection of smart city ICTs on ED. Second, the study revealed a positive moderating connection of GP between smart city ICTs and ED. This study provides insights into smart cities and ICTs that show how shifting paradigm toward smart technologies can help to improve government services. Copyright © 2023 Inderscience Enterprises Ltd.
引用
收藏
页码:380 / 394
页数:14
相关论文
共 60 条
[21]  
Henseler J., Ringle C.M., Sarstedt M., A new criterion for assessing discriminant validity in variance-based structural equation modeling, Journal of the Academy of Marketing Science, 43, pp. 115-135, (2015)
[22]  
Hu L.T., Bentler P.M., Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6, 1, pp. 1-55, (1999)
[23]  
Hussain S., Gul R., Ullah S., Role of financial inclusion and ICT for sustainable economic development in developing countries, Technological Forecasting and Social Change, 194, (2023)
[24]  
Irawan T., ICT and economic development: comparing ASEAN member states, International Economics and Economic Policy, 11, 5, pp. 97-114, (2014)
[25]  
Katoch D., Sharma J. S., Banerjee S., Biswas R., Das B., Goswami D., Mukherjee P.K., Government policies and initiatives for development of Ayurveda, Journal of Ethnopharmacology, 197, pp. 25-31, (2017)
[26]  
Khan I.U., Yu Y., Hameed Z., Khan S.U., Waheed A., Assessing the physicians’ acceptance of e-prescribing in a developing country: an extension of the UTAUT model with moderating effect of perceived organizational support, Journal of Global Information Management (JGIM), 26, 3, pp. 121-142, (2018)
[27]  
Khan S., Haneklaus N., Sustainable economic development across globe: the dynamics between technology, digital trade and economic performance, Technology in Society, 72, (2023)
[28]  
Kline R.B., Principles and Practice of Structural Equation Modeling, (2005)
[29]  
Kozma R.B., Comparative analysis of policies for ICT in education, International Handbook of Information Technology in Primary and Secondary Education, 20, pp. 1083-1096, (2008)
[30]  
Kumar V., Verma P., Mittal A., Tuesta Panduro J. A., Singh S., Paliwal M., Sharma N.K., Adoption of ICTs as an emergent business strategy during and following COVID-19 crisis: evidence from Indian MSMEs, Benchmarking: An International Journal, 30, 6, pp. 1850-1883, (2023)