Strategic Capital Allocation Under Operational Complexity: Investment Governance Frameworks in Multi-Plant Organizations
Abstract
Capital allocation in multi-plant organizations presents a governance challenge fundamentally distinct from investment decision-making in single-site firms. Geographic dispersion, heterogeneous asset productivity, asymmetric information flows, and competing local priorities introduce layers of operational complexity that distort traditional capital budgeting logic. While financial theory emphasizes net present value (NPV), internal rate of return (IRR), and return on capital employed (ROCE), these metrics alone prove insufficient in environments where political dynamics, utilization disparities, and coordination friction influence investment outcomes. This paper develops an investment governance framework for multi-plant enterprises, positioning capital allocation as a strategic architecture problem rather than a purely financial evaluation exercise. It argues that sustainable asset productivity depends on disciplined executive control systems integrating cross-plant benchmarking, standardized performance thresholds, post-investment audits, and centralized arbitration mechanisms. By reframing capital allocation as an organizational design discipline embedded within executive governance, the study contributes to strategic management literature and offers a structured model for managing asset intensity under complexity.
Keywords
Capital allocation; Investment governance; Multi-plant organizations; Operational complexity; ROCE; Asset productivity; Executive control systems; Strategic management.
Citations
IRE Journals:
Aydin Ture "Strategic Capital Allocation Under Operational Complexity: Investment Governance Frameworks in Multi-Plant Organizations" Iconic Research And Engineering Journals Volume 9 Issue 7 2026 Page 2893-2901 https://doi.org/10.64388/IREV9I7-1715590
IEEE:
Aydin Ture
"Strategic Capital Allocation Under Operational Complexity: Investment Governance Frameworks in Multi-Plant Organizations" Iconic Research And Engineering Journals, 9(7) https://doi.org/10.64388/IREV9I7-1715590
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