Benchmarking Open GovernmentPrinciples: Quantitative Evlauation and Prediction Analysis of Logistics, Health, Agricuture and Economics

Main Article Content

Thanaporn Tengratanaprasert
Benjamaporn Lurstwut

Abstract

The concept of Open Government is a new idea that the cabinet has recently resolved. Government agencies at different levels, including the central government, regional governments, and local governments, have not been aware of this issue. The result has not been well achieved as it should be. Disclosure is often limited. This research was conducted to study and analyze the current status of Open Government in improving the quality of public services, and analyze the relationship and data opennss that affect the four dimensions of an Open Government: Transparency, Open Data, Accountability, and Governance Network in public health, economy, Transport, and Agriculture. To this end, this research offers Thailand's Open Government policy and the transaction data from the public manual database’s transaction processing and the frequency of data browsing to analyze the gap for Improvement for each dimension in order to improve the quality of operation and public services to support the changes in the future. The key findings illustrated that to promote the Open Government; the government should realize the importance of adopting digital technology in the public administration process by urgently formulating a policy for the development and management of extensive databases which can help analyze and develop public services that respond to the public's needs. Big data is required tosupport proactive and preventive government policies effectively under the drive to integrate public databases and enhance public services quality, as well as monitor and evaluate the data linkages of various agencies periodically.

Article Details

How to Cite
Tengratanaprasert, T., & Lurstwut, B. . (2023). Benchmarking Open GovernmentPrinciples: Quantitative Evlauation and Prediction Analysis of Logistics, Health, Agricuture and Economics. NIDA Case Research Journal, 13(2), 44–75. Retrieved from https://so04.tci-thaijo.org/index.php/NCRJ/article/view/250151
Section
Case Study

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