skip to main content
10.1145/3357419.3357440acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicicmConference Proceedingsconference-collections
research-article

Success of Smart Cities Development with Community's Acceptance of New Technologies: Thailand Perspective

Authors Info & Claims
Published:23 August 2019Publication History

ABSTRACT

Information and Communication Technology (ICT) and the Internet of Things (IOT) had been propagating in numerous aspects of our social and economic interactions and have started to transform our lifestyle with integration into the implementation in Smart Cities projects throughout the world. Smart Cities are part of the Thailand 4.0 initiatives which started in 2016. Adoption of the new Technology by citizens is essential and mandatory for such Smart City projects. We researched the Technology Acceptance Model and further extended the same with additional aspects to study the factors affecting the real adoption of new technology on the mass scale as part of the Smart Cities implementation.

References

  1. Bakıcı, T., Almirall, E., Wareham, J.: A Smart City Initiative: The Case of Barcelona. Journal of Knowledge Economy, DOI: 10.1007/s13132-012-0084-9 (2012)Google ScholarGoogle ScholarCross RefCross Ref
  2. Nam, T., Pardo, T. A.: Conceptualizing Smart City with Dimensions of Technology, People, and Institutions. In: Proceedings of the 12th Annual International Conference on Digital Government Research, pp. 282--291. (2011a)Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Nam, T., Pardo, T. A.: Smart City as Urban Innovation: Focusing on Management, Policy, and Context. In: Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance, pp. 185--194. (2011b)Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Benevolo, C., Dameri, R. P., & D'Auria, B. (2016). Smart mobility in smart city. In Empowering Organizations (pp. 13--28). Springer, Cham.Google ScholarGoogle ScholarCross RefCross Ref
  5. Dawes, S. S., Cresswell, A. M., & Pardo, T. A. (2009). From "need to know" to "need to share": Tangled problems, information boundaries, and the building of public sector knowledge networks. Public Administration Review, 69(3), 392--402.Google ScholarGoogle ScholarCross RefCross Ref
  6. Weber, E. P., & Khademian, A. M. (2008). Wicked problems, knowledge challenges, and collaborative capacity builders in network settings. Public Administration Review, 68(2), 334--349.Google ScholarGoogle ScholarCross RefCross Ref
  7. Rittel, H. W. J., & Webber, M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4(June), 155--169.Google ScholarGoogle ScholarCross RefCross Ref
  8. Thailand 4.0, what you need to know ? (n.d.). Retrieved from https://www.thailand-business-news.com/economics/54286-thailand-4-0-need-know.htmlGoogle ScholarGoogle Scholar
  9. (n.d.). Retrieved from https://thaiembdc.org/thailand-4-0-2/.Google ScholarGoogle Scholar
  10. Thailand. (2017, December 31). ASIAN DEVELOPMENT BANK MEMBER FACT SHEET.Google ScholarGoogle Scholar
  11. (2015). THAILAND Industrialization and Economic Catch-Up. COUNTRY DIAGNOSTIC STUDY.Google ScholarGoogle Scholar
  12. Matthamblen. (n.d.). Economic benefits of a smart city. Retrieved from https://smartcityscout.wordpress.com/2018/01/24/economic-benefits-of-a-smart-city/.Google ScholarGoogle Scholar
  13. https://rcc.harvard.edu/knowledge-technology-and-complexity-economic-growthGoogle ScholarGoogle Scholar
  14. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342--365..Google ScholarGoogle Scholar
  15. Davis, F. D. "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology," MIS Quarterly (13:3), 1989, pp. 319--339.Google ScholarGoogle Scholar
  16. Marangunić, N., & Granić, A. (2015). Technology acceptance model: a literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81--95.Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Abdelghaffar, H., & Magdy, Y. (2012, April). The Adoption of Mobile Government Services in Developing Countries: The Case of Egypt. International Journal of Information and Communication Technology Research, 4.Google ScholarGoogle Scholar
  18. Pan, J. G., Lin, Y. F., Chuang, S. Y., & Kao, Y. C. (2011, May). From governance to service-smart city evaluations in Taiwan. In 2011 International Joint Conference on Service Sciences(pp. 334--337). IEEE.Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Mital, M., Chang, V., Choudhary, P., Papa, A., & Pani, A. K. (2018). Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach. Technological Forecasting and Social Change, 136, 339--346.Google ScholarGoogle ScholarCross RefCross Ref
  20. Mitalaa, M., Changb, V., Choudharyc, P., Panid, A., & Sune, Z. (2016). Adoption of cloud based Internet of Things in India: A multiple theory perspective.Google ScholarGoogle Scholar
  21. Padashetty, S., & Kishore, K. S. (2013). An empirical study on consumer adoption of mobile payments in Bangalore city-A case study. Researchers World, 4(1), 83.Google ScholarGoogle Scholar
  22. Chang, H. S., & Yang, H. M. (2010). Public acceptance of the Cyber Taipei initiative and cyber-government services. Habitat International, 34(2), 210--218.Google ScholarGoogle ScholarCross RefCross Ref
  23. ITU-T Focus Group on Smart Sustainable Cities, "Smart sustainable cities: An analysis of definitions," Focus Group Technical Report, Geneva, Switzerland, Tech. Rep. FG-SSC-10/2014, 2014Google ScholarGoogle Scholar
  24. Chuttur, M. Y. (2009). Overview of the technology acceptance model: Origins, developments and future directions. Working Papers on Information Systems, 9(37), 9--37.Google ScholarGoogle Scholar
  25. Foon, Y. S., & Fah, B. C. Y. (2011). Internet banking adoption in Kuala Lumpur: an application of UTAUT model. International Journal of Business and Management, 6(4), 161.Google ScholarGoogle Scholar
  26. Indrawati, K. S. (2015, August). Haryoto, The Use of Modified Theory of Acceptance and Use of Technology 2 to Predict Prospective Users' Intention in Adopting TV Streaming. In Proceedings of the International Conference on Computing and Informatics (ICOCI) (Vol. 11, p. 13).Google ScholarGoogle Scholar
  27. Xu, X. (2014). Understanding users' continued use of online games: An application of UTAUT2 in social network games. MMEDIA 2014.Google ScholarGoogle Scholar
  28. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425--478.Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Jeong, B. K., & Yoon, T. E. (2013). An empirical investigation on consumer acceptance of mobile banking services. Business and Management Research, 2(1), 31.Google ScholarGoogle ScholarCross RefCross Ref
  30. City of San Diego General Plan. (2008, March). Economic Prosperity Element.Google ScholarGoogle Scholar
  31. Li, G., & Lv, T. (2007). Study on influencing factor analysis and application of consumer mobile commerce acceptance. In Integration and Innovation Orient to E-Society Volume 2 (pp. 132--141). Springer, Boston, MA.Google ScholarGoogle Scholar
  32. Adnan, Y. M., Hamzah, H., Dali, M. M., Daud, M. N., & Alias, A. (2016). AN INITIATIVES-BASED FRAMEWORK FOR ASSESSING SMART CITY. PLANNING MALAYSIA JOURNAL, 14(5).Google ScholarGoogle Scholar
  33. Kaye Nijaki, L., & Worrel, G. (2012). Procurement for sustainable local economic development. International Journal of Public Sector Management, 25(2), 133--153.Google ScholarGoogle ScholarCross RefCross Ref
  34. IoT in Smart Cities and Buildings. (n.d.). Retrieved from http://www.fujitsu.com/global/themes/internet-of-things/hyperconnected-business/smart-cities-and-buildings/Google ScholarGoogle Scholar
  35. Carter, L., & Bélanger, F. (2005). The utilization of e-government services: citizen trust, innovation and acceptance factors. Information systems journal, 15(1), 5--25.Google ScholarGoogle Scholar
  36. McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information systems research, 13(3), 334--359.Google ScholarGoogle Scholar
  37. Chellappa, R. K., & Pavlou, P. A. (2002). Perceived information security, financial liability and consumer trust in electronic commerce transactions. Logistics Information Management, 15(5/6), 358--368.Google ScholarGoogle ScholarCross RefCross Ref
  38. Khan, Z., Pervez, Z., & Ghafoor, A. (2014, December). Towards cloud based smart cities data security and privacy management. In Utility and cloud computing (UCC), 2014 IEEE/ACM 7th international conference on (pp. 806--811). IEEE.Google ScholarGoogle Scholar
  39. Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & management, 42(5), 719--729.Google ScholarGoogle ScholarCross RefCross Ref
  40. Urbieta, A., González-Beltrán, A., Mokhtar, S. B., Hossain, M. A., & Capra, L. (2017). Adaptive and context-aware service composition for IoT-based smart cities. Future Generation Computer Systems, 76, 262--274.Google ScholarGoogle ScholarCross RefCross Ref
  41. Almuraqab, N. A., & Jasimuddin, S. M. (2017). Factors that Influence End-Users' Adoption of Smart Government Services in the UAE: A Conceptual Framework. The Electronic Journal Information Systems Evaluation,20(1), 11--23.Google ScholarGoogle Scholar

Index Terms

  1. Success of Smart Cities Development with Community's Acceptance of New Technologies: Thailand Perspective

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ICICM '19: Proceedings of the 9th International Conference on Information Communication and Management
      August 2019
      210 pages
      ISBN:9781450371889
      DOI:10.1145/3357419

      Copyright © 2019 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 23 August 2019

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader