IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v78y2024ics0160791x24001519.html
   My bibliography  Save this article

Modelling the factors that affect the intention to adopt emerging digital technologies for a sustainable smart world city

Author

Listed:
  • Teng, Qiuling
  • Bai, Xiaoyu
  • Apuke, Oberiri Destiny

Abstract

All over the world, urbanization's problems are forcing governments to look for innovative ways to run contemporary cities and as such, solving urban problems has become a hot topic. The implementation of smart city technology is one of the most sought-after solutions. However, research on the variables that influence individuals' intentions to use smart city services is still in its infancy, particularly in developing countries. This research looked at what influences people's decisions to utilize or embrace smart city services in on Asian country. It extended the Unified Theory of Acceptance and Use of Technology (UTAUT2) model by adding trust in technology, trust in government, perceived security concern and perceived privacy concern. Using a simple random sampling technique, data were collected from 470 participants across three major cities in one Asian country. The biggest predictor of the desire to use smart city services, according to our research, is the facilitating condition. Other elements include social influence, hedonic drive, performance expectancy, effort expectancy, and trust in the government. The inclination to use smart city services was shown to be inversely correlated with privacy and security concerns. Trust in smart city services had nothing to do with its usage intention. Finally, gender and age did not act as moderators of the hypothesized relationships in our model. This outcome established strong theoretical and practical implications as discussed in this article.

Suggested Citation

  • Teng, Qiuling & Bai, Xiaoyu & Apuke, Oberiri Destiny, 2024. "Modelling the factors that affect the intention to adopt emerging digital technologies for a sustainable smart world city," Technology in Society, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:teinso:v:78:y:2024:i:c:s0160791x24001519
    DOI: 10.1016/j.techsoc.2024.102603
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X24001519
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2024.102603?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    3. Fleiß, Eva & Hatzl, Stefanie & Rauscher, Jürgen, 2024. "Smart energy technology: A survey of adoption by individuals and the enabling potential of the technologies," Technology in Society, Elsevier, vol. 76(C).
    4. Jina Kim & Eunil Park, 2022. "Understanding social resistance to determine the future of Internet of Things (IoT) services," Behaviour and Information Technology, Taylor & Francis Journals, vol. 41(3), pages 547-557, February.
    5. Cudjoe, Dan & Zhang, Huiming & Wang, Hong, 2023. "Predicting residents' adoption intention for smart waste classification and collection system," Technology in Society, Elsevier, vol. 75(C).
    6. Viswanath Venkatesh & James Y. L. Thong & Frank K. Y. Chan & Paul J. H. Hu, 2016. "Managing Citizens’ Uncertainty in E-Government Services: The Mediating and Moderating Roles of Transparency and Trust," Information Systems Research, INFORMS, vol. 27(1), pages 87-111, March.
    7. Seunghwan Myeong & Yuseok Jung & Eunuk Lee, 2018. "A Study on Determinant Factors in Smart City Development: An Analytic Hierarchy Process Analysis," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    8. Elvira Ismagilova & Laurie Hughes & Nripendra P. Rana & Yogesh K. Dwivedi, 2022. "Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework," Information Systems Frontiers, Springer, vol. 24(2), pages 393-414, April.
    9. Tuba Bakıcı & Esteve Almirall & Jonathan Wareham, 2013. "A Smart City Initiative: the Case of Barcelona," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 4(2), pages 135-148, June.
    10. Kusumastuti, Ratih Dyah & Nurmala, N. & Rouli, Juliana & Herdiansyah, Herdis, 2022. "Analyzing the factors that influence the seeking and sharing of information on the smart city digital platform: Empirical evidence from Indonesia," Technology in Society, Elsevier, vol. 68(C).
    11. Hong, Seokho & Jang, Eunha & Cho, Jihyeon & Lee, Junsoo & Rhee, Jee Heon & Lee, Hyeongseok & Lee, Miyoung & Cha, Seung Hyun & Koo, Choongwan & Baik, Ok Mi & Heo, Yeonsook, 2024. "A living lab to develop smart home services for the residential welfare of older adults," Technology in Society, Elsevier, vol. 77(C).
    12. Giacomo Migliore & Ralf Wagner & Felipe Schneider Cechella & Francisco Liébana-Cabanillas, 2022. "Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance Theory," Information Systems Frontiers, Springer, vol. 24(6), pages 2099-2122, December.
    13. Joseph F. Hair & G. Tomas M. Hult & Christian M. Ringle & Marko Sarstedt & Kai Oliver Thiele, 2017. "Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods," Journal of the Academy of Marketing Science, Springer, vol. 45(5), pages 616-632, September.
    14. Dashkevych, Oleg & Portnov, Boris A., 2024. "How can generative AI help in different parts of research? An experiment study on smart cities’ definitions and characteristics," Technology in Society, Elsevier, vol. 77(C).
    15. Rahman, Syed Abidur & Taghizadeh, Seyedeh Khadijeh & Ramayah, T. & Alam, Mirza Mohammad Didarul, 2017. "Technology acceptance among micro-entrepreneurs in marginalized social strata: The case of social innovation in Bangladesh," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 236-245.
    16. Jinghui (Jove) Hou & Laura Arpan & Yijie Wu & Richard Feiock & Eren Ozguven & Reza Arghandeh, 2020. "The Road toward Smart Cities: A Study of Citizens’ Acceptance of Mobile Applications for City Services," Energies, MDPI, vol. 13(10), pages 1-15, May.
    17. Sepasgozar, Samad M.E. & Hawken, Scott & Sargolzaei, Sharifeh & Foroozanfa, Mona, 2019. "Implementing citizen centric technology in developing smart cities: A model for predicting the acceptance of urban technologies," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 105-116.
    18. Abdulrahman Habib & Duha Alsmadi & Victor R. Prybutok, 2020. "Factors that determine residents’ acceptance of smart city technologies," Behaviour and Information Technology, Taylor & Francis Journals, vol. 39(6), pages 610-623, June.
    19. Yang, Zhen & Gao, Weijun & Han, Qing & Qi, Liyan, 2024. "Aggravating or alleviating? Smart city construction and urban inequality in China," Technology in Society, Elsevier, vol. 77(C).
    20. Chiranjivi Neupane & Santoso Wibowo & Srimannarayana Grandhi & Hepu Deng, 2021. "A Trust-Based Model for the Adoption of Smart City Technologies in Australian Regional Cities," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    21. Fakhoury, Rania & Aubert, Benoit, 2015. "Citizenship, trust, and behavioural intentions to use public e-services: The case of Lebanon," International Journal of Information Management, Elsevier, vol. 35(3), pages 346-351.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yucen Zhou & Zhong Wang & Lifeng Liu & Yanran Peng & Beatrice Ihimbazwe, 2025. "The Impact of Digitization on Urban Social–Ecological Resilience: Evidence from Big Data Policy Pilots in China," Sustainability, MDPI, vol. 17(2), pages 1-27, January.
    2. Lu, Hang, 2024. "Exploring the predictors of public acceptance of artificial intelligence-based resurrection technologies," Technology in Society, Elsevier, vol. 78(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marimuthu, Malliga & D'Souza, Clare & Shukla, Yupal, 2022. "Integrating community value into the adoption framework: A systematic review of conceptual research on participatory smart city applications," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    2. Ashraf, Mohammad Ali & Alam, Mirza Mohammad Didarul & Alexa, Lidia, 2021. "Making decision with an alternative mind-set: Predicting entrepreneurial intention toward f-commerce in a cross-country context," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    3. Giovanni Baldi & Antonietta Megaro & Luca Carrubbo, 2022. "Small-Town Citizens’ Technology Acceptance of Smart and Sustainable City Development," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    4. Hajiheydari, Nastaran & Delgosha, Mohammad Soltani & Olya, Hossein, 2021. "Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    5. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    6. Kapser, Sebastian & Abdelrahman, Mahmoud & Bernecker, Tobias, 2021. "Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 183-198.
    7. El Barachi, May & Salim, Taghreed Abu & Nyadzayo, Munyaradzi W. & Mathew, Sujith & Badewi, Amgad & Amankwah-Amoah, Joseph, 2022. "The relationship between citizen readiness and the intention to continuously use smart city services: Mediating effects of satisfaction and discomfort," Technology in Society, Elsevier, vol. 71(C).
    8. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    9. Hailiang Wang & Jiaxin Zhang & Yan Luximon & Mingfu Qin & Ping Geng & Da Tao, 2022. "The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    10. Kareem M. Selem & Muhammad Haroon Shoukat & Syed Asim Shah & Marianny Jessica Brito Silva, 2023. "The dual effect of digital communication reinforcement drivers on purchase intention in the social commerce environment," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    11. Fatemeh Mohammad Ebrahimzadeh Sepasgozar & Usef Ramzani & Sabbar Ebrahimzadeh & Sharifeh Sargolzae & Samad Sepasgozar, 2020. "Technology Acceptance in e-Governance: A Case of a Finance Organization," JRFM, MDPI, vol. 13(7), pages 1-17, June.
    12. Francis Osei & Gertrude Agyemang & Collins Kankam-Kwarteng & Ofosu Amofah, 2021. "Customer use of online order for food delivery service: the application of UTAUT2 Model," Technium Social Sciences Journal, Technium Science, vol. 25(1), pages 496-514, November.
    13. Shanmugavel, Nagarajan & Balakrishnan, Janarthanan, 2023. "Influence of pro-environmental behaviour towards behavioural intention of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    14. Yueping Zheng & Liang Ma, 2022. "How Citizen Demand Affects the Process of M-Government Adoption: An Empirical Study in China," Electronic Commerce Research, Springer, vol. 22(4), pages 1407-1433, December.
    15. Oussama Tounekti & Antonio Ruiz-Martínez & Antonio F. Skarmeta-Gómez, 2021. "Users’ Evaluation of a New Web Browser Payment Interface for Facilitating the Use of Multiple Payment Systems," Sustainability, MDPI, vol. 13(9), pages 1-24, April.
    16. Olawole Fawehinmi & M. Y. Yusliza & Wan Zulkifli Wan Kasim & Zaleha Mohamad & Muhammad Abi Sofian Abdul Halim, 2020. "Exploring the Interplay of Green Human Resource Management, Employee Green Behavior, and Personal Moral Norms," SAGE Open, , vol. 10(4), pages 21582440209, December.
    17. Cai, Lanhui & Yuen, Kum Fai & Xie, Diancen & Fang, Mingjie & Wang, Xueqin, 2021. "Consumer's usage of logistics technologies: Integration of habit into the unified theory of acceptance and use of technology," Technology in Society, Elsevier, vol. 67(C).
    18. Shailesh Pandita & Surabhi Koul & Hari Govind Mishra, 2021. "Acceptance of Ride-sharing in India:Empirical Evidence from the UTAUT Model," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(2), pages 93-117, September.
    19. Ahmad, Wasim & Kim, Woo Gon & Choi, Hyung-Min & Haq, Junaid Ul, 2021. "Modeling behavioral intention to use travel reservation apps: A cross-cultural examination between US and China," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    20. Imran Hossain & Md. Nekmahmud & Maria Fekete-Farkas, 2022. "How Do Environmental Knowledge, Eco-Label Knowledge, and Green Trust Impact Consumers’ Pro-Environmental Behaviour for Energy-Efficient Household Appliances?," Sustainability, MDPI, vol. 14(11), pages 1-16, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:78:y:2024:i:c:s0160791x24001519. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.