Table 6 Sum of cause \(d_{i}\) and effect \(s_{i}\) influence among dimensions and criteria

AI application strategy (A)

 AI competencies (\(a_{1}\))

 AI outcomes and expected level (\(a_{2}\))

 Ability of the AI provider (\(a_{3}\))

 AI cognition of senior executives (\(a_{4}\))

AI governance (B)

 Techniques of AI governance (\(b_{1}\))

 AI activities and decisions (\(b_{2}\))

 AI accountability and oversight (\(b_{3}\))

 The necessary skills and expertise of AI responsibilities (\(b_{4}\))

Data infrastructure and data quality (C)

 Data accessibility (\(c_{1}\))

 Information privacy and security (\(c_{2}\))

 Completeness, accuracy, and reliability of the data (\(c_{3}\))

Human factor (D)

 AI test (\(d_{1}\))

 Human error and biases (\(d_{2}\))

 Black box (\(d_{3}\))