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Theses

Management stratégique et intelligence artificielle : une nouvelle approche pour l'optimisation de la performance à l'heure du digital

Abstract : A key goal for this dissertation has been to create a conceptual and numerical model based on machine learning that allows leaders and scholars to reimagine strategic management, and predict the evolution of organizational performance (e.g., profitability) based on the variation of the considered organizational factors (strategic alignment, strategic capabilities).This dissertation compares and integrates two conceptual (resource-based and contingency-based), and two analytical (linear and nonlinear) approaches.The model developed called MSM (Model of Strategic Management) was validated using the data gathered from 239 senior executives, the results showed that MSM captures the organization nonlinearity (complexity) and offers a good prediction capability of firm performance based on the MSM variables. Also, the results suggest that resource-based and contingency-based should be viewed as complementary instead of competing approaches.
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https://hal-cnam.archives-ouvertes.fr/tel-03549096
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Submitted on : Monday, January 31, 2022 - 11:28:16 AM
Last modification on : Monday, February 21, 2022 - 3:38:17 PM

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  • HAL Id : tel-03549096, version 1

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Samir Medrouk. Management stratégique et intelligence artificielle : une nouvelle approche pour l'optimisation de la performance à l'heure du digital. Gestion et management. Cnam, 2018. Français. ⟨tel-03549096⟩

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