|Title||The Dynamic Nature of the Governance Structure of Large Investments: Measurement and Modeling, Organizational Fit, and Earning Potential|
|Publication Type||Working Paper|
|Year of Publication||2014|
This white paper argues that governance of industrial investments should be connected to their actual and predicted states of operation in relation to the larger system where they operate. Our example system is a container ship that functions as part of an international logistics system. We investigate the measurement, analysis, and management of the ship’s performance. We focus on the actual dynamism of the physical system and how it can be predicted in a way that enables system governance to adapt and fit to changing conditions. This enables continuous discovery of sustainable ways to improve the financial performance of the system. We show that sensing and modeling technologies can increase the adaptability and flexibility of network governance and leadership at various phases of the life cycle.