A conceptual framework for managing the adoption of artificial intelligence. The science of change framework

This research established a conceptual framework for managing organizational change for the adoption of artificial intelligence. The authors have worked through research and found 85 success factors for the adoption of AI. These 85 factors have been mapped onto a tentative framework consisting of the following items: Incentives (Success, Emotions, Ease), Organization (Culture, Process, Technology), and People (Behavior, Understanding, Mindset). This tentative framework has been developed based on almost 40 years of story fragments.

The conceptual framework has been established through different steps. First, success factors for the adoption of artificial intelligence have been distilled from a literature research. The literature research focuses on the adoption of new technology, the adoption of artificial intelligence as well as change management for the introduction of artificial intelligence in organizations. Secondly, the success factors are mapped onto the tentative framework. Lastly, the conceptual framework is established through showing that all success factors could be mapped and all items on the tentative framework are covered by success factors found in literature research. The conceptual framework for managing change together with the success factors allow for organizations to follow an approach for the adoption of artificial intelligence.

Overall, the conclusion is that the tentative framework on managing organizational change can be “proven” by the mapping of the success factors and can therefore be called a conceptual framework for “the science of change” with a focus on the adoption of artificial intelligence.