Despite the importance of artificial intelligence (AI) proficiency as a determinant for AI adoption, there remains a lack of empirical research studying competencies needed to leverage AI effectively. This paper addresses this research gap with a mixed methods approach. First, we conduct a qualitative content analysis of the practical and scientific literature to derive and structure the existing body of knowledge. We subsequently perform a quantitative content analysis of 9,247 job advertisements. We merge the results using a triangulation approach and a) present a comprehensive overview of key technical and managerial competencies essential for implementing and utilising AI on an individual level, b) highlight the demand for AI-related competencies in the three occupational fields Data Science and Engineering, Software Engineering and Development, and Business Development and Sales, and c) underline the need to adapt workforce competencies to a labour market transformation induced by AI.
Anton, Eduard; Behne, Alina; and Teuteberg, Frank, "THE HUMANS BEHIND ARTIFICIAL INTELLIGENCE – AN OPERATIONALISATION OF AI COMPETENCIES" (2020). ECIS 2020 Research Papers. 141.
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