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Construction of the Evaluation Model of Open Government Data Platform: From the Perspective of Citizens’ Sustainable Use

Author

Listed:
  • Wenli Zhang

    (School of Economic and Management, Xiamen University of Technology, Xiamen 361005, China)

  • Hongbo Jiang

    (School of Economic and Management, Xiamen University of Technology, Xiamen 361005, China)

  • Qigan Shao

    (School of Economic and Management, Xiamen University of Technology, Xiamen 361005, China)

  • Ting Shao

    (School of Economic and Management, Xiamen University of Technology, Xiamen 361005, China)

Abstract

Under the background of big data, citizens can freely access and use open data to create value through the open government data platform (OGDP). The sustainable use of OGDP can meet the needs of citizens. The value created by citizens can also improve quality of life, which is of great significance to the sustainable development of society. From the citizens’ perspective, we constructed an evaluation model of citizens’ sustainable use of OGDP, including 12 indicators in four dimensions: Data, platform, outcome, and citizen. We have built the complete evaluation system with the DANP (Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process) method. It explores the main influencing factors and mutual influence of citizens’ sustainable use of OGDP. Empirical research is done on four provincial OGDPs in China’s Shanghai, Zhejiang, Guizhou, and Fujian provinces. The TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method was used to rank the OGDPs in four pilot areas in empirical research. The results demonstrate that the improvement priorities of dimensions have the following order: Citizen, outcome, data, and platform, in which data and platform are cause dimensions, and outcome and citizen are result dimensions. The satisfaction indicator has the highest weight among all evaluation indicators, followed by the quality and quantity of outcomes. The one with the lowest weight is non-discrimination. The empirical results show that the OGDP in Zhejiang ranks the highest overall, followed by the OGDPs of Shanghai, Fujian, and Guizhou provinces. In the outcome and citizen dimensions, Zhejiang provincial OGDP does the best. Fujian provincial OGDP does the best in the platform dimension. The citizens’ sustainable use of OGDP can be promoted by timely opening of data that citizens need urgently, perfecting the policy of privacy protection and user guide of OGDP, holding open data innovation competition, providing data visualization function, providing various download formats of data sets, and simplifying the download procedures for citizens.

Suggested Citation

  • Wenli Zhang & Hongbo Jiang & Qigan Shao & Ting Shao, 2022. "Construction of the Evaluation Model of Open Government Data Platform: From the Perspective of Citizens’ Sustainable Use," Sustainability, MDPI, vol. 14(3), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1415-:d:734869
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    Citations

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    Cited by:

    1. Lirong Huang & Wenli Zhang & Hongbo Jiang & Jin-Long Wang, 2023. "The Teaching Quality Evaluation of Chinese-Foreign Cooperation in Running Schools from the Perspective of Education for Sustainable Development," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    2. Sanja Seljan & Marina Viličić & Zvonimir Nevistić & Luka Dedić & Marina Grubišić & Iva Cibilić & Karlo Kević & Bastiaan van Loenen & Frederika Welle Donker & Charalampos Alexopoulos, 2022. "Open Data as a Condition for Smart Application Development: Assessing Access to Hospitals in Croatian Cities," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    3. Yu-Jing Chiu & Yi-Chung Hu & Chia-Yin Yao & Chia-Hung Yeh, 2022. "Identifying Key Risk Factors in Product Development Projects," Mathematics, MDPI, vol. 10(8), pages 1-20, April.

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