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Culturally Informed Technology: Assessing Its Importance in the Transition to Smart Sustainable Cities

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  • Ibrahim Mutambik

    (Department of Information Science, College of Humanities and Social Sciences, King Saud University, Riyadh P.O. Box 11451, Saudi Arabia)

Abstract

Since the idea of the smart city was first introduced, over two decades ago, there has been an increasing focus on sustainability as a core strategic priority. However, as the relevance, importance and even definition of sustainability is a function of cultural context, planners must take account of local and regional cultural factors in the selection and adaption of digital infrastructures, as well as in the management and encouragement of public acceptance. Achieving this is not a sequential process, but a concurrent one, as these factors are interdependent. This raises the question of what factors affect and mediate the technology, choice, and public acceptance of smart sustainable cities. This paper attempts to address this question by proposing a new model which advances our current, and considerable, understanding of Technology Acceptance Modelling—using an analysis based on Structural Equation Modelling. This new model, called the Culturally Informed Technology Acceptance Model, was validated using data from a survey of residents of a variety of Saudi Arabian cities. The proposed model is designed around important factors that can be influenced by cultural context, such as digital literacy, process improvements, cost savings and privacy, and is a useful tool for understanding the role of culture in the public acceptance of smart sustainable technology. This design focus is for a number of reasons, such as helping development bodies ensure that the technologies used align with the socio-cultural context. It will also help in the management of at-scale technology roll out in a way that is resource-efficient. Although the Culturally Informed Technology Acceptance Model has been developed and validated using data from Saudi Arabia, the authors believe that it could be adapted to meet the needs of countries/cities that are looking to implement smart city strategies matched to their own distinct socio-cultural identity.

Suggested Citation

  • Ibrahim Mutambik, 2024. "Culturally Informed Technology: Assessing Its Importance in the Transition to Smart Sustainable Cities," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4075-:d:1393651
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    References listed on IDEAS

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    1. Ibrahim Mutambik & John Lee & Abdullah Almuqrin & Justin Zuopeng Zhang, 2023. "Transitioning to Smart Cities in Gulf Cooperation Council Countries: The Role of Leadership and Organisational Culture," Sustainability, MDPI, vol. 15(13), pages 1-22, July.
    2. Tan Yigitcanlar & Kevin C. Desouza & Luke Butler & Farnoosh Roozkhosh, 2020. "Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature," Energies, MDPI, vol. 13(6), pages 1-38, March.
    3. Ibrahim Mutambik, 2023. "The Global Whitewashing of Smart Cities: Citizens’ Perspectives," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    4. Hair, Joe F. & Howard, Matt C. & Nitzl, Christian, 2020. "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 101-110.
    5. Ioannis Vardopoulos & Maria Papoui-Evangelou & Bogdana Nosova & Luca Salvati, 2023. "Smart ‘Tourist Cities’ Revisited: Culture-Led Urban Sustainability and the Global Real Estate Market," Sustainability, MDPI, vol. 15(5), pages 1-26, February.
    6. Grzegorz Mentel & Anna Lewandowska & Justyna Berniak-Woźny & Waldemar Tarczyński, 2023. "Green and Renewable Energy Innovations: A Comprehensive Bibliometric Analysis," Energies, MDPI, vol. 16(3), pages 1-21, February.
    7. Ibrahim Mutambik & Abdullah Almuqrin & Fawaz Alharbi & Majed Abusharhah, 2023. "How to Encourage Public Engagement in Smart City Development—Learning from Saudi Arabia," Land, MDPI, vol. 12(10), pages 1-16, September.
    8. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    9. Shaikh, Aijaz A. & Glavee-Geo, Richard & Karjaluoto, Heikki & Hinson, Robert Ebo, 2023. "Mobile money as a driver of digital financial inclusion," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    10. Samuel Chng & Lynette Cheah, 2020. "Understanding Autonomous Road Public Transport Acceptance: A Study of Singapore," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    11. Marikyan, Davit & Papagiannidis, Savvas & Alamanos, Eleftherios, 2019. "A systematic review of the smart home literature: A user perspective," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 139-154.
    12. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Strategic principles for smart city development: A multiple case study analysis of European best practices," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 70-97.
    13. Ibrahim Mutambik & John Lee & Abdullah Almuqrin & Justin Zuopeng Zhang & Mohammed Baihan & Abdulrhman Alkhanifer, 2023. "Privacy Concerns in Social Commerce: The Impact of Gender," Sustainability, MDPI, vol. 15(17), pages 1-22, August.
    14. Élodie Attié & Lars Meyer-Waarden, 2023. "How Do You Sleep ? The Impact of Sleep Apps on Generation Z's Well-Being," Post-Print hal-04251816, HAL.
    15. Malodia, Suresh & Dhir, Amandeep & Mishra, Mahima & Bhatti, Zeeshan Ahmed, 2021. "Future of e-Government: An integrated conceptual framework," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    16. Abood Khaled Alamoudi & Rotimi Boluwatife Abidoye & Terence Y. M. Lam, 2023. "Implementing Smart Sustainable Cities in Saudi Arabia: A Framework for Citizens’ Participation towards SAUDI VISION 2030," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    17. Abdullah Almuqrin & Ibrahim Mutambik & Abdulaziz Alomran & Justin Zuopeng Zhang, 2023. "Information System Success for Organizational Sustainability: Exploring the Public Institutions in Saudi Arabia," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    18. Danquah, Michael & Amankwah-Amoah, Joseph, 2017. "Assessing the relationships between human capital, innovation and technology adoption: Evidence from sub-Saharan Africa," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 24-33.
    19. Lew, Susan & Tan, Garry Wei-Han & Loh, Xiu-Ming & Hew, Jun-Jie & Ooi, Keng-Boon, 2020. "The disruptive mobile wallet in the hospitality industry: An extended mobile technology acceptance model," Technology in Society, Elsevier, vol. 63(C).
    20. Ibrahim Mutambik & John Lee & Abdullah Almuqrin & Abdulrhman Alkhanifer & Mohammed Baihan, 2023. "Gulf Cooperation Council Countries and Urbanisation: Are Open Government Data Portals Helping?," Sustainability, MDPI, vol. 15(17), pages 1-22, August.
    21. Kumar, Harish & Singh, Manoj Kumar & Gupta, M.P. & Madaan, Jitendra, 2020. "Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    22. Guo, Qingbin & Zhong, Jinrong, 2022. "The effect of urban innovation performance of smart city construction policies: Evaluate by using a multiple period difference-in-differences model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    23. DeLonge, Marcia S. & Miles, Albie & Carlisle, Liz, 2016. "Investing in the transition to sustainable agriculture," Environmental Science & Policy, Elsevier, vol. 55(P1), pages 266-273.
    24. Linde, Lina & Sjödin, David & Parida, Vinit & Wincent, Joakim, 2021. "Dynamic capabilities for ecosystem orchestrationA capability-based framework for smart city innovation initiatives," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    25. Kamal, Syeda Ayesha & Shafiq, Muhammad & Kakria, Priyanka, 2020. "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technology in Society, Elsevier, vol. 60(C).
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