Phuket Smart City Innovation Model for Sustainable Development

Authors

  • Virote Siriratanaruk College of Innovation and Management, Suan Sunandha Rajabhat University, Thailand
  • Tanapol Kortana College of Innovation and Management, Suan Sunandha Rajabhat University, Thailand
  • Bundit Pungnirund College of Innovation and Management, Suan Sunandha Rajabhat University, Thailand

Keywords:

Innovation, Smart City, Phuket, Sustainable Development

Abstract

The objectives of this research are 1) to study the level of smart city innovation in Phuket Province for sustainable development; Government policy Infrastructure public participation and acceptance of technology 2) to study the causal factors of Government policy Infrastructure public participation and acceptance of technology that affect smart city innovation in Phuket Province for sustainable development and 3) to create a model for smart city innovation in Phuket Province for sustainable development This research is a combination of quantitative and qualitative research. Quantitative research has a sample group: Representative households in Phuket Province, totaling 380 people. The sample size was determined using the criterion of 20 times the observed variable. Stratified random sampling Use questionnaires to collect data. Data were analyzed using structural equation modeling. Qualitative data were collected through in-depth interviews, consisting of officials involved in smart city development policy from the Ministry of Energy. Officials involved in smart city development policy from the Ministry of Transport Officials involved with smart city development policy from the Ministry of Digital Economy and Society Officials regarding smart city development policy from Phuket Province and representatives of the public sector, a total of 17 people, and analyzed the data by content analysis.

The results found that 1) smart city innovation in Phuket Province It is important at the highest level. As for technology acceptance public participation Government policy and infrastructure It is important at a high level. 2) Government policy has the greatest overall causal influence on smart city innovation in Phuket Province, followed by infrastructure. Technology acceptance and public participation, respectively, and 3) model was developed the "GIT2P Model" as a model for agencies that support and promote smart city innovation in Phuket Province for sustainable development that focuses on environmental development. Public administration, economy, travel, and transportation.

References

กระทรวงดิจิทัลเพื่อเศรษฐกิจและสังคม. (2560). การส่งเสริมเมืองอัจฉริยะ. ค้นเมื่อ 19 มิถุนายน 2566, จาก https://www.depa.or.th/th/smart-city-plan/smart-city-office

สุชาติ ประสิทธิ์รัฐสินธุ์ และคณะ. (2551). แบบจำลองสมการโครงสร้าง. กรุงเทพฯ: สามลดา.

สำนักงานส่งเสริมเศรษฐกิจดิจิทัล. (2562). เมืองอัจฉริยะชายแดนใต้ พร้อมรองรับฐานวิถีชีวิตใหม่" / “เมืองอัจฉริยะชายแดนใต้ ตอบโจทย์ฐานวิถีชีวิตใหม่” “เมืองอัจฉริยะชายแดนใต้ ภาพสะท้อนฐานวิถีชีวิตใหม่. กรุงเทพฯ: กระทรวงดิจิทัลเพื่อเศรษฐกิจและสังคม.

เอกชัย สุมาลี และชัยวุฒิ ตันไชย. (2562). Smart City เมืองอัจฉริยะ: แนวคิดพื้นฐานและระบบปฏิบัติการสำหรับเมืองในยุคดิจิทัล. ค้นเมื่อ 21 มิถุนายน 2566, จาก https://kpilib.com/library/en/books/ kpibook-25587/

อารยะ ปรีชาเมตตา. (2560). เมืองอัจฉริยะกับความสามารถในการครอบครองที่อยู่อาศัย. ค้นเมื่อ 21 มิถุนายน 2566, จาก https://www.bangkokbiznews.com/blogs/columnist/117301

Engineering Today. (2020). หนุนทางสร้างเมืองอัจฉริยะ. ค้นเมื่อ 19 มิถุนายน 2566, จาก https://www.engineeringtoday.net/engineering-today-magazine-issue-2020/

Grace, J. B. (2008). Structural Equation Model. For observational studies. Journal of Wild life Management, 72(1), 14-22.

Kanoknukulchai, W. (2019). Smart city: Opportunities and challenges for engineers. Prachachat, (July, 11-14), 17.

Lazaroiu, G., & Harrison, A. (2021). Internet of things sensing infrastructures and data-driven planning technologies in smart sustainable city governance and management. Geopolitics, History & International Relations, 13(2), 23-36.

Lebrument, N., Zumbo-Lebrument, C., Rochette, C., & Roulet, T. J. (2021). Triggering participation in smart cities: Political efficacy, public administration satisfaction and sense of belonging as drivers of citizens’ intention. Technological Forecasting and Social Change, 171, 120938.

Liu, M., Wu, J., Zhu, C., & Hu, K. (2022). Factors Influencing the Acceptance of Robo-Taxi Services in China: An Extended Technology Acceptance Model Analysis. Journal of Advanced Transportation, 2022, 1-11.

Naidoo, C., & Ramphal, R. R. (2018). The factors that affect public participation for effective municipal service delivery: A case of ward committees. South African Journal of Industrial Engineering, 29(4), 82-93.

Yunus, M. (2021). The Policy of Public-Private Partnerships on Development of Tourism Infrastructure Destination and Tourism Service Innovation as Mediating Variable in Sinjai Regency, Indonesia. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(11), 1470-1479.

Waqar, A., Othman, I., Almujibah, H., Khan, M. B., Alotaibi, S., & Elhassan, A. A. (2023). Factors influencing adoption of digital twin advanced technologies for smart city development: Evidence from Malaysia. Buildings, 13(3), 775.

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Published

2024-03-31

How to Cite

Siriratanaruk, V., Kortana , T., & Pungnirund, B. (2024). Phuket Smart City Innovation Model for Sustainable Development. The Journal of Development Administration Research, 14(1), 236–247. retrieved from https://so01.tci-thaijo.org/index.php/JDAR/article/view/273087

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Section

Research Articles