Assessing the Accountability of Government-Sponsored Enterprises and Quangos
Government-sponsored enterprises (GSEs) and quasi-autonomous non-governmental organizations (quangos) comprise a powerful organizational sector that has been criticized for its lack of accountability to governments and their citizens. These organizations are established to serve the public as a whol...
Main Author: | |
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Format: | Electronic Article |
Language: | English |
Check availability: | HBZ Gateway |
Journals Online & Print: | |
Fernleihe: | Fernleihe für die Fachinformationsdienste |
Published: |
Springer
2010
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In: |
Journal of business ethics
Year: 2010, Volume: 97, Issue: 2, Pages: 271-289 |
Further subjects: | B
government-sponsored enterprise
B Effectiveness B Corruption B organizational design B Hybrid organization B Fannie Mae B Accountability B Democracy B quango B gray-sector organization |
Online Access: |
Volltext (JSTOR) Volltext (lizenzpflichtig) |
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520 | |a Government-sponsored enterprises (GSEs) and quasi-autonomous non-governmental organizations (quangos) comprise a powerful organizational sector that has been criticized for its lack of accountability to governments and their citizens. These organizations are established to serve the public as a whole by targeting the needs of particular groups or fulfilling specific functions. Often they use practices adopted from the business sector, and sometimes they enter the marketplace as profit-making enterprises. In light of the contribution of GSE Fannie Mae to the 2008 world economic crisis, the impact of this sector on effective democratic government bears further examination. In this article, I present a systems model that suggests how researchers might comprehensively assess the accountability of organizations in this sector, here termed the “gray sector,” with respect to their government missions. I focus on four systems dimensions: mission, organizational design, organizational outcomes, and the information feedback process. Organizational design and the nature of the sector population are cited as emerging issues of particular importance. | ||
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