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Organisations need to adopt AI successfully and responsibly. AI’s technical capabilities make AI powerful. However, the implementation of AI in organisations is not limited to the technical elements and requires a more holistic approach. An AI implementation within an organisation is a sociotechnical system, with the interplay between social and technical components. Considering the sociotechnical nature of AI in organisations, the following research question arises: From a sociotechnical perspective, how can an organisation increase adoption of AI as part of its quest to become more data-driven? In light of the research question, we propose to create a sociotechnical artificial intelligence adoption framework with a target audience of both academics and practitioners. This study follows a design science research approach, constituting various iterative cycles. The study is conducted at an automotive manufacturer’s IT Hub based in South Africa and has the aim to gain concrete, contextual, in-depth knowledge about a specific real-world organisation. To achieve this, focus groups serve as the primary research method. As the organisation at which the study took place is seen as a global leader in industrial digital transformation, the experience can help researchers and other organisations understand how an organisation can increase the adoption of AI.
Smit et al. (Wed,) studied this question.