Figure 1.
Diagram illustrating drivers and barriers for public organizations in A I adoption, featuring management practices and challenges across three categories.The diagram presents various drivers and barriers that encourage or resist public organizations in adopting artificial intelligence. In the center, the title highlights two sections: drivers and barriers. The drivers are divided into three categories: technological management practices, which include identifying different requirements for planning; organizational management practices, emphasizing A I project design and management practices such as defining use cases and planning effective change management; and environmental management practices focused on networking collaboration outside the organization. The barriers section includes technological challenges like the competence gap, insufficient AI capabilities, and management challenges, along with organizational and environmental obstacles. Arrows connect the categories, indicating a relationship between practices and challenges, while bullet points note key concepts. The layout features a balanced arrangement, positioning the drivers on either side of the barriers, and using rectangular boxes to enclose relevant practices and challenges.

The conceptual framework for promoting artificial intelligence adoption in public sector organizations

Source: Created by the author; main TOE categories adapted from DePietro et al. (1990) 

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