Volume 2 Issue 4 | 2025 | View PDF
Paper Id:IJMSM-V2I4P126
doi: 10.71141/30485037/V2I4P126

HR Analytics and Skills Transformation: Towards a Predictive Model for Human Capital Development in the Age of AI

Victor Mignenan, Élie Ndjeder

Citation:
Victor Mignenan, Élie Ndjeder, "HR Analytics and Skills Transformation: Towards a Predictive Model for Human Capital Development in the Age of AI" International Journal of Multidisciplinary on Science and Management, Vol. 2, No. 4, pp. 243-256, 2025.

Abstract:
Although HR analytics and artificial intelligence are now recognised as central levers of organisational transformation, their specific effects on the evolution of skills and the dynamics of human capital remain largely understudied. Mobilising contemporary approaches to human capital and learning capacities, this research adopts a mixed design combining: (1) a qualitative phase based on 25 semi-structured interviews and (2) a quantitative survey conducted among 412 employees and managers engaged in advance digitalisation processes. Our results show significant effects of predictive HR analytics on skills transformation, especially when organisations have a high level of digital maturity. The analysis also reveals that organisational learning capabilities are a key mechanism linking the use of predictive tools to the appropriation and evolution of skills, as one participant testified: AI indicates direction, but it is the organisation that makes progress possible. Our theoretical and empirical analyses contribute to the literature by specifying the conditions under which AI and HR analytics generate a real recomposition of skills. They underline the importance of the digital context and learning environments in understanding contemporary human capital development dynamics.

Keywords: HR Analytics, Artificial Intelligence, Skills Transformation, Human Capital, Digital Maturity.

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