AI ADOPTION IN MANAGEMENT DECISION-MAKING AND FIRM PERFORMANCE: EVIDENCE FROM A ROMANIAN AUTOMOTIVE COMPANY

Authors

  • Marius BOIȚĂ
  • Luminița PĂIUȘAN
  • Horațiu ȘOIM
  • Gheorghe PRIBEANU
  • Ionela-Mihaela MILUTIN

Abstract

This study examines the relationship between artificial intelligence (AI) adoption, managerial decision-making, and firm performance, focusing on a large Romanian automotive company. The main objective is to assess how data-driven decision-support mechanisms can address inefficiencies in organizational performance. The research employs a longitudinal case study based on financial data extracted from the Romanian Ministry of Finance for the period 2020–2024, using key performance indicators such as turnover, profit margin, and labor productivity. The empirical results reveal a significant divergence between revenue growth and declining profitability, indicating structural inefficiencies in cost management and decision-making processes. These findings suggest that traditional managerial approaches may be insufficient in complex industrial environments characterized by operational volatility and increasing cost pressures. 

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Published

24.08.2026

How to Cite

BOIȚĂ, M., PĂIUȘAN, L., ȘOIM, H., PRIBEANU, G., & MILUTIN, I.-M. (2026). AI ADOPTION IN MANAGEMENT DECISION-MAKING AND FIRM PERFORMANCE: EVIDENCE FROM A ROMANIAN AUTOMOTIVE COMPANY. Ecoforum Journal, 15(3). Retrieved from https://ecoforumjournal.ro/index.php/eco/article/view/3132

Issue

Vol. 15 No. 3 (2026)

Section

Management, Marketing and Business Administration

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