From open data objectives to outcomes: a comprehensive evaluation of policy impacts and regional disparities

Ying Zhang et al.

Aslib Journal of Information Management2026https://doi.org/10.1108/ajim-12-2024-0977article
AJG 1
Weight
0.50

What the paper says

Purpose Although there is much research about Open Government Data (OGD), comprehensive evaluations of OGD policy impacts remain sparse. This study addresses this gap by empirically examining the alignment between OGD policy objectives and real-world outcomes across 337 Chinese municipalities. Design/methodology/approach A typology of OGD policy objectives is developed and used to evaluate OGD policies and their impact in different geographical regions. Findings The analysis revealed a hierarchy of outcomes where “technical support” goals yield higher impacts than “innovative value”, whereas the latter is often the goal of OGD initiatives. Regional disparities also emerge, with Eastern cities outperforming traditional industrial areas. Originality/value These findings underscore that policy design does not guarantee expected outcomes, especially under varying regional contexts. Policy-makers should better address local characteristics and develop targeted policy strategies and effective resource allocation. Highlights

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https://doi.org/https://doi.org/10.1108/ajim-12-2024-0977

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@article{ying2026,
  title        = {{From open data objectives to outcomes: a comprehensive evaluation of policy impacts and regional disparities}},
  author       = {Ying Zhang et al.},
  journal      = {Aslib Journal of Information Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/ajim-12-2024-0977},
}

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From open data objectives to outcomes: a comprehensive evaluation of policy impacts and regional disparities

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.