Not yet human-reviewed
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AI adoption and organizational change: insights from international and local perspectives
Citation. Dumitrache, V.-G. (2025). AI adoption and organizational change: insights from international and local perspectives. International Conference of Management and Industrial Engineering (ICMIE 2025): Agility and Readiness for Sustainable Business Continuity, 391–396. https://doi.org/10.56177/12icmie2025.155
Summary. This qualitative document study combines a literature review with a comparison of public AI-related policy materials from Endava, UiPath, and Accenture in Romania. It frames AI-related organizational change around workforce development, organizational culture and structure, and ethical governance. The analysis argues that effective AI transition depends on context-sensitive policies, but its corporate-policy evidence is declarative and cannot establish actual practice.
Key claims
- The reviewed literature and company-policy comparison identify workforce development, organizational culture and structural conditions, and ethical governance as central dimensions of AI-related organizational change.
- AI literacy, reskilling, and upskilling are presented as supports for employee adaptation, including through lower uncertainty and technostress and greater ability to handle technological challenges.
- Rigid structures, conservative culture, weak infrastructure, limited transparency, and limited managerial support are identified as barriers to AI transition and employee acceptance.
- The three companies’ public materials describe AI use concentrated in repetitive or administrative work alongside training, monitoring, transparency, human involvement in decisions, and employee-protection commitments.
- Because the analysis relies on public policy and sustainability materials from three large IT/technology companies, policy statements may be declarative and the findings are not readily generalizable across industries or organizational sizes.
Evidence & limitations
- Qualitative, document-based multiple-case study of publicly available company reports, sustainability documents, and official web pages for Endava, UiPath, and Accenture, interpreted alongside a literature review.
- The source does not collect employee or organizational outcome data; its comparison indicates stated policies and cannot determine whether they were implemented or effective.
- Published conference proceedings article; the limited, purposive Romania-focused sample constrains generalization.