Drivers and Organizational Trade-Offs of Enterprise-Wide Centralization in Multinational Corporations
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[1]
Dela, M. et al. 2025. Drivers and Organizational Trade-Offs of Enterprise-Wide Centralization in Multinational Corporations. Transactions of the Academy of Science, Technology and Engineering Discovery. 15, 12 (Dec. 2025), 1–17.

Abstract

Enterprise-wide centralization in multinational corporations remains a recurring design choice as firms seek to manage complexity, risk, and scale across geographically dispersed operations. As digital technologies lower coordination costs and regulatory environments evolve, executives revisit the relative merits of concentrating decision rights, data, and infrastructure at the corporate center. Yet the drivers of centralization and the organizational trade-offs it creates are not uniform across contexts and functions. This paper examines enterprise-wide centralization as a socio-technical configuration that links strategic intent, organizational structure, and engineering architectures. It explores how market conditions, regulatory pressures, technological trajectories, and corporate risk appetites interact with legacy structures and cultures to shape centralization choices. Particular attention is given to the role of shared platforms, standardized processes, and integrated data models as enablers of corporate-wide control, as well as to the tensions these solutions generate for local responsiveness and innovation. By framing centralization decisions as continuous design problems rather than one-time structural moves, the discussion highlights the importance of dynamic capabilities in monitoring trade-offs and adjusting governance over time. The analysis is intended to inform practitioners and engineers who must align operating models, system architectures, and control mechanisms in large multinational environments without presuming that a single pattern of centralization is universally desirable. The paper also outlines practical considerations for sequencing centralization initiatives, integrating local feedback into global designs, and assessing impacts on decision quality and organizational learning.

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