Influences of Smart City Characteristics, Citizens’ Quality of Life and Citizens' Engagement on Intention to Spend for Consumption and Living: Case Study of Bangkok as a Smart City
Keywords:
Smart city characteristics, Citizens’ Quality of Life, Citizens' Engagement, Intention to Spend for Consumption and LivingAbstract
Background and Objectives: Bangkok is a large city with a large population but limited resources. To support future needs and living, efficient transportation and energy systems, good hygiene and good quality of life in a quality environment must be promoted. Therefore, there is a push to develop Bangkok into a smart city. The present research aimed to study the influences of smart city characteristics, citizens’ quality of life and citizens’ engagement on consumption and residence intentions in Bangkok as a smart city.
Methodology: The study was quantitative in nature, collecting data using an on-line questionnaire from people living in Bangkok, whose ages were 18-60 years; a total of 615 samples were collected. Statistical parameters used for data analysis included frequency, percentage and structural equation modeling techniques, which were used to analyze causal relationships among the results.
Main Results: 1. Smart city characteristics have a direct positive influence on the citizens' quality of life; 2. citizens' quality of life has a direct positive influence on the citizen participation; 3. citizens’ engagement has a direct positive influence on the intention to spend for consumption and living; 4. smart city characteristics have a positive indirect influence on the intention to spend for consumption and living through citizens’ quality of life and citizens’ engagement; 5. citizens' quality of life has a positive indirect influence on the intention to spend for consumption and living through citizens’ engagement.
Conclusions: Smart city characteristics, citizens’ quality of life and citizens’ engagement significantly exhibit both direct and indirect influences on the intention to spend for consumption and living in Bangkok as a smart city. The model results agree with the collected empirical data.
Practical Application: The research results can be used as supporting information for planning and policy-making of relevant government and private sectors in Bangkok to improve and develop communities, so that citizens have a better quality of life. This should be done through the creation of participation of local residents to develop various aspects of the environment, economy, travel and transportation, energy use, citizens’ development, people's livelihoods and effective government management.
References
Sumalee, A. and Tanchai, C. 2019. Smart City: Fundamental Concepts and Operating Systems for Cities in the Digital Age. King Prajadhipok’s Institute, Bangkok. (In Thai)
Bangkok Metropolitan Council. 2018. The Study Report of the Extraordinary Committee on the Development of Bangkok into a Smart City [Online]. Available: https://bmc.go.th/wp-content/uploads/2021/02/รายงานผลการศึกษา-Smart-City-สภากทม.pdf. [20 August 2024] (In Thai)
Kanok-Nukulchai, W. 2025. Smart City: Opportunities and Challenges for Engineers. Different Facets [Online]. Available: https://www.teamgroup.co.th/wp-ontent/uploads/2019/11/article-2019-13-1.pdf. [11 July 2024] (In Thai)
Myeong, S., Jung, Y. and Lee, K. 2018. A study on determinant factors in smart city development: An Analytic Hierarchy Process Analysis. Sustainability, 10, 1-17.
Chittmittrapap, P., Kerdwichai, R., Suksod, P. and Chantararatmanee, D. 2022. The driving factors to the success of smart city development in Phuket province. Panyapiwat Journal, 14, 188-202.
Prawanne, C. 2020. The process of transformation into a smart city: A case study of Khon Kaen municipality. Local Administration Journal, 13, 267-284.
Chen, Z. and Chan, I.C.C. 2023. Smart cities and quality of life: a quantitative analysis of citizens' support for smart city development. Information Technology & People, 36, 263-285. https://doi.org/10.1108/ITP-07-2021-0577
Pinochet, L.H.C., Romani, G.F., de Souza, C.A. and Rodríguez-Abitia, G. 2019. Intention to live in a smart city based on its characteristics in the perception by the young public. Revista de Gestão, 26, 73-92. https://doi.org/10.1108/REGE-06-2018-0077
Mahaweero, P. 2017. The way of conceptual idea of citizen engagement in mobilizing the project of five-precept village for peaceful community: A case study of Bannonedum community, Kampaengphet province. Journal of MCU Peace Studies, 5, 1-16.
Zeithaml, V.A., Parasuraman, A. and Berry, L.L. 1990. Delivering Quality Service: Balancing Customer Perceptions and Expectations. New York, The Free Press.
Kotler, P. 2003. Marketing Management. Prentice Hall, New Jersey.
Pannathadh, C. 2022. Influence of technology acceptance and use, satisfaction and engagement on intention to continue use through online application for shopping. Journal of Public Relations and Advertising, 15, 111-129.
Zhu, W., Yan, R. and Song, Y. 2022. Analysing the impact of smart city service quality on citizen engagement in a public emergency. Cities, 120, 1-11. https://doi.org/10.1016/j.cities.2021.103439
El Barachi, M., Abu Salim, T., Nyadzayo, M.W., Mathew, S., Badewi, A. and Amankwah-Amoah, J. 2022. The relationship between citizen readiness and the intention to continuously use smart city services: Mediating effects of satisfaction and discomfort. Technology in Society, 71, 1-19. https://doi.org/10.1016/j.techsoc.2022.102115
Schumacker, R.E. and Lomax, R.G. 1996. A Beginner's Guide to Structural Equation Modeling, Mahwah, Lawrence Erlbaum Associates, New Jersey.
Lindeman, R.H., Merenda, P.F. and Gold, R.Z. 1980. Introduction to Bivariate and Multivariate Analysis. Glenview, IL: Scott, Foresman and Company.
Hair, J.F., Black, W.C., Babin, B.J. and Anderson, R.E. 2010. Multivariate Data Analysis. Prentice Hall, New Jersey.
Chatterjee, S. and Kar, A.K. 2018. Effects of successful adoption of information technology enabled services in proposed smart cities of India: From user experience perspective. Journal of Science and Technology Policy Management, 9, 189-209. https://doi.org/10.1108/JSTPM-03-2017-0008
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. and Tatham, R. 2006. Multivariate Data Analysis. Prentice Hall, New Jersey.
Nunnally, J.C. 1978. Psychometric Theory. McGraw-Hill, New York.
Berdie, D.R., Anderson, J.F. and Niebuhr, M.A. 1986. Questionnaires: Design and Use. Scarecrow Press, New Jersey.
Tabachnick, B.G. and Fidell, L.S. 2007. Using Multivariate Statistics. Allyn and Bacon, New York.
Keawsomnuk, P. 2021. A structural equation model of factors relating to smart cities that affect the management of the world heritage site as well as the quality of life of tourists and villagers in Ayutthaya, Thailand. Humanities, Arts and Social Sciences Studies, 21, 35-42. https://doi.org/10.14456/hasss.2021.4
Pannathadh, C., Prayong, M., Tanyamai, C. and Norapol, C. 2019. The influences of passenger satisfaction, passenger engagement and repurchase intention: Low-cost carriers domestic passenger. Journal of Business Administration and Languages, 7, 79-87.
Pannathadh, C. 2020. The effects of passenger engagement and its antecedents on repurchase intention for low-cost carriers of Thailand. Journal of the Association of Researchers, 25, 203-220.
Abu Salim, T., El Barachi, M., Onyia, O.P. and Mathew, S.S. 2021. Effects of smart city service channel- and user-characteristics on user satisfaction and continuance intention. Information Technology & People, 34, 147-177. https://doi.org/10.1108/ITP-06-2019-0300
Pannathadh, C. 2024. The influence of trust and its antecedence on the intention to purchase battery electric vehicles (BEV). Science and Engineering Connect, 46, 369-386. https://doi.org/10.14456/kmuttrd.2023.23
Hati, S.R.H., Wibowo, S.S. and Safira, A. 2021. The antecedents of Muslim customers’ intention to invest in an Islamic bank’s term deposits: evidence from a Muslim majority country. Journal of Islamic Marketing, 12, 1363-1384. https://doi.org/10.1108/JIMA-01-2020-0007
Movarrei, R., Rezaee Vessal, S., Rezaee Vessal, S. and Aspara, J. 2022. The effect of type of company doing home delivery during a pandemic on consumers' quality perceptions and behavior. International Journal of Physical Distribution & Logistics Management, 52, 1-24. https://doi.org/10.1108/IJPDLM-08-2020-0272
Rizwan, S., Al-Malkawi, H.-A., Gadar, K., Sentosa, I. and Abdullah, N. 2021. Impact of brand equity on purchase intentions: empirical evidence from the health takāful industry of the United Arab Emirates. ISRA International Journal of Islamic Finance, 13, 349-365. https://doi.org/10.1108/IJIF-07-2019-0105
Contreras Pinochet, L.H., Souza, C.A.d., Viana, A.B.N. and Rodríguez-Abitia, G. 2024. Smart technologies in supermarket retail and their influence on citizens' quality of life during the COVID-19 pandemic. Revista de Gestão, 31, 80-100. https://doi.org/10.1108/REGE-09-2021-0178
Thailand Smart City Office (Digital Economy Promotion Agency). 2019. Handbook for Smart City Development Planning [Online]. Available: https://www.depa.or.th/storage/app/media/ file/1555477950.pdf. [5 September 2024]
Suedee, N. 2020. Collaborative governance and the implementation of quality of life development policies in local areas: A case study of the district quality of life development committee, Krathum Baen district, Samut Sakhon province. Master of Political Science Thesis, Thammasat University.
Denis, D.J. 2021. Applied Univariate, Bivariate, and Multivariate Statistics Understanding Statistics for Social and Natural Scientists, With Applications in SPSS and R. John Wiley & Sons, New York.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 King Mongkut's University of Technology Thonburi
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Any form of contents contained in an article published in Science and Engineering Connect, including text, equations, formula, tables, figures and other forms of illustrations are copyrights of King Mongkut's University of Technology Thonburi. Reproduction of these contents in any format for commercial purpose requires a prior written consent of the Editor of the Journal.
