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The Impact Of Ai Technologies On Dynamics And Restructuring Of Companies

Author

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  • Geanina Gabriela Prodan

    (Alexandru Ioan Cuza University of Iasi)

Abstract

Artificial intelligence, as a tool for creating the functionality of the European Union market, has a major impact on the way societies, economies and organizations operate. Accelerated digitalization favors the implementation of artificial intelligence in the operational processes of companies. Through the capacity to process data and automate complex processes, artificial intelligence becomes a strategic tool that contributes to increasing efficiency, reducing costs and increasing the decision-making process at the company level. The purpose of this study is to analyze how the technologies adopted by companies influence their productivity but also the consolidation and strategic repositioning of companies through involvement in mergers and security operations. The study takes into account for the period 2021-2024 companies with at least 250 employees from European Union member countries. The impact of adopting technologies in data analysis, marketing or sales, production and logistics process, spoken language conversion, object identification based on images, ICT security is analyzed. Beyond the influence of these variables, there are reservations in adopting artificial intelligence motivated by too high costs, incompatibility with existing equipment, ethical considerations, data availability, lack of expertise and clarity of legal consequences

Suggested Citation

  • Geanina Gabriela Prodan, 2025. "The Impact Of Ai Technologies On Dynamics And Restructuring Of Companies," EUFIRE Conference Proceedings Series, Alexandru Ioan Cuza University Publisher, vol. 1(1), pages 295-310, October.
    • Handle: RePEc:cxa:eu2025:v:1:y:2025:i:1:p:295-310
    DOI: 10.47743/eufire-2025-1-23
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    References listed on IDEAS

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    1. Elena Cristina Manole & Petru Lucian Curșeu & Nicoleta Iulia Olar & Oana Cătălina Fodor, 2024. "Believing in Change: Predicting Identification, Performance, and Ethical Culture in an Organizational Acquisition Case in Romania," Administrative Sciences, MDPI, vol. 14(10), pages 1-12, September.
    2. Haodong Zhang & Yanli Pu & Shuaiqi Zheng & Lin Li, 2024. "AI-Driven M&A Target Selection and Synergy Prediction: A Machine Learning-Based Approach," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 6(1), pages 359-377.
    3. Verma, Shubham Kumar & Kumar, Satish, 2024. "Fractal dimension analysis of financial performance of resulting companies after mergers and acquisitions," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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