Acceleration and Transformation: A Comparative Analysis of AI-Driven Operational Strategies in Growing SMEs and Established Firms

(2026)

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CARBONNELLE_59932000_2026.pdf
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CARBONNELLE_59932000_2026_Annexe.pdf
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Abstract
This thesis examines how AI-driven operational strategies address two contrasting growth challenges: operational scaling under resource constraints, associated with growing SMEs, and organizational renewal in established companies. Through five cases, it compares acceleration and transformation strategies, the functions they prioritize, the depth at which AI is integrated, and the conditions under which operational value emerges. It also considers what each organizational context can learn from the other.