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Factors Influencing the Perceived Readiness of Government Organizations for Implementing Predictive Artificial Intelligence

Emyana Ruth Eritha Sirait et al.

International Journal of Electronic Government Research2025https://doi.org/10.4018/ijegr.391352article
ABDC C
Weight
0.50

What the paper says

Governments are often not ready to implement AI; however, limited research has examined specific factors influencing their readiness, and models often remain at a high level of abstraction. This study aims to identify the factors influencing governments' readiness to implement predictive AI as perceived by the involved stakeholders. Deep insight was gained from a case study in a Dutch government that has been implementing predictive AI for two years. The AI readiness was analyzed based on factors of data, technology, people, organization, environment, and value creation. This study reveals that AI developers and AI users perceive diverse perspectives on the influencing factors to the organization's readiness. The AI developers highlight the importance of a dedicated team, sufficient computing power, and strong support from top management, while the AI users spotlight the importance of perceived value and trust in the AI system. This research also found that factors at the organizational and individual levels shape the organization's AI readiness.

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Cite this paper

https://doi.org/https://doi.org/10.4018/ijegr.391352

Or copy a formatted citation

@article{emyana2025,
  title        = {{Factors Influencing the Perceived Readiness of Government Organizations for Implementing Predictive Artificial Intelligence}},
  author       = {Emyana Ruth Eritha Sirait et al.},
  journal      = {International Journal of Electronic Government Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.4018/ijegr.391352},
}

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Factors Influencing the Perceived Readiness of Government Organizations for Implementing Predictive Artificial Intelligence

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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.