Public Private Partnerships (PPP) represent an increasingly frequent investment pattern where composite stakeholders interact in joint initiatives. Alignment of interests and consequent composition of conflicts is driven by the business purpose of the shared corporation, represented by a private Special Purpose Vehicle (SPV) within a Project Financing (PF) investment package. Corporate governance implications go beyond the traditional contra position between ownership and control, showing cooperative patterns where the value is co-created and distributed. Big data-driven networks represent a trendy issue that connects public and private stakeholders through digital platforms where data are shared in real time. Information asymmetries and governance concerns are consequently softened.
Moro Visconti, R., PUBLIC PRIVATE PARTNERSHIPS, BIG DATA NETWORKS AND MITIGATION OF INFORMATION ASYMMETRIES, <<CORPORATE OWNERSHIP & CONTROL>>, 2017; 2017 (4): 205-215 [http://hdl.handle.net/10807/103505]
PUBLIC PRIVATE PARTNERSHIPS, BIG DATA NETWORKS AND MITIGATION OF INFORMATION ASYMMETRIES
Moro Visconti, Roberto
2017
Abstract
Public Private Partnerships (PPP) represent an increasingly frequent investment pattern where composite stakeholders interact in joint initiatives. Alignment of interests and consequent composition of conflicts is driven by the business purpose of the shared corporation, represented by a private Special Purpose Vehicle (SPV) within a Project Financing (PF) investment package. Corporate governance implications go beyond the traditional contra position between ownership and control, showing cooperative patterns where the value is co-created and distributed. Big data-driven networks represent a trendy issue that connects public and private stakeholders through digital platforms where data are shared in real time. Information asymmetries and governance concerns are consequently softened.File | Dimensione | Formato | |
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