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A Trust-Based Model for the Adoption of Smart City Technologies in Australian Regional Cities

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  • Chiranjivi Neupane

    (School of Engineering & Technology, CQUniversity, Melbourne 3000, Australia)

  • Santoso Wibowo

    (School of Engineering & Technology, CQUniversity, Melbourne 3000, Australia)

  • Srimannarayana Grandhi

    (School of Engineering & Technology, CQUniversity, Melbourne 3000, Australia)

  • Hepu Deng

    (School of Accounting, Info Sys & Supply Chain, RMIT University, Melbourne 3000, Australia)

Abstract

This paper explores the role of stakeholders’ trust in the adoption of smart city technologies, leading to the identification of the critical determinants for adopting smart city technologies in Australian regional cities. A comprehensive review of the related literature has been conducted. Such a review leads to the development of a trust-based research model for investigating the importance of trust in technology and its adoption. This model is then tested and validated with the use of a structural equation modeling technique on the survey data collected from ICT professionals in Australian regional cities. The study results show that perceived usefulness, perceived external pressure and perceived information security influence trust in smart city technologies. Further analysis highlights the significant relationship between stakeholders’ trust and their intention to adopt smart city technologies. This study is unique, as it is one of a few studies that focus on exploring stakeholders’ trust in the adoption of smart city technologies from the perspective of ICT professionals in Australia. The study results can be used by the government agencies to formulate appropriate policies to enhance the use of smart city technologies in the active pursuit of smart city development in Australia.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9316-:d:617578
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    References listed on IDEAS

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    1. Alexandros Nikitas & Kalliopi Michalakopoulou & Eric Tchouamou Njoya & Dimitris Karampatzakis, 2020. "Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    2. Chengming Li & Zhaoxin Dai & Xiaoli Liu & Wei Sun, 2020. "Evaluation System: Evaluation of Smart City Shareable Framework and Its Applications in China," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    3. Vanessa Ratten, 2014. "Behavioral Intentions to Adopt Technological Innovations: The Role of Trust, Innovation and Performance," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 10(3), pages 1-12, July.
    4. Yung Chang Wu & Rui Sun & Yenchun Jim Wu, 2020. "Smart City Development in Taiwan: From the Perspective of the Information Security Policy," Sustainability, MDPI, vol. 12(7), pages 1-18, April.
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    Cited by:

    1. 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.
    2. Maiya M. Suyunchaliyeva & Raghav Nautiyal & Aijaz A. Shaikh & Ravishankar Sharma, 2021. "The Use of Mobile Payment Systems in Post-COVID-19 Economic Recovery: Primary Research on an Emerging Market for Experience Goods," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    3. Yuho Shimizu & Aimi Ishizuna & Shin Osaki & Takaaki Hashimoto & Mitsuharu Tai & Tetsushi Tanibe & Kaori Karasawa, 2022. "The Social Acceptance of Smart Health Services in Japan," IJERPH, MDPI, vol. 19(3), pages 1-11, January.

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