A Conceptual Framework for Smart Governance Systems Implementation

Salvador Forner Muñoz et al.

International Journal of Electronic Government Research2025https://doi.org/10.4018/ijegr.376170article
ABDC C
Weight
0.41

What the paper says

Knowledge-based decision-making open to citizens holds little significance in governments. One reason is that so far, no reference frameworks are available to implement smart governance systems in the full public policy cycle, resulting in most of the existing tools not being knowledge-based. Thus, there is a risk that decisions are ineffective or misaligned with the different interests of civil society. Moreover, existing proposals do not cover most of the key features needed in smart governance and do not provide sufficient elements to facilitate its implementation. Based on the existing literature and tools, as well as on a survey of local government practitioners, the authors propose a conceptual framework for implementing smart governance systems, which manages both knowledge internal and external to the organization, and the one provided by stakeholders; thus, improving consensus and group decision-making. To this end, the framework considers available data and information technologies, and its components make it easier for institutions and information technology providers to develop solutions with a knowledge-based collaborative governance model.

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https://doi.org/https://doi.org/10.4018/ijegr.376170

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@article{salvador2025,
  title        = {{A Conceptual Framework for Smart Governance Systems Implementation}},
  author       = {Salvador Forner Muñoz et al.},
  journal      = {International Journal of Electronic Government Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.4018/ijegr.376170},
}

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Evidence weight

0.41

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

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
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.