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Ai Adoption in Management Decision-making and Firm Performance: Evidence From a Romanian Automotive Company

Year: 2026

Type: article

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.

Source: EcoForum

Authors: BOIȚĂ, Marius, PĂIUȘAN, Luminița, ȘOIM, Horațiu, PRIBEANU, Gheorghe, MILUTIN, Ionela-Mihaela

Institutions: Vasile Goldis Western University of Arad, West University of Timişoara

Language: English

Topic: Impact of AI and Big Data on Business and Society

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Decent work and economic growth

Open Access status: bronze

OpenAlex ID: W7217916531

FWCI:

Cites: 10

Cited by:

Related to: 10