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Is the SEC a learning regulator? Lessons from proxy access
Author(s) -
Pichhadze Aviv
Publication year - 2016
Publication title -
regulation and governance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.417
H-Index - 45
eISSN - 1748-5991
pISSN - 1748-5983
DOI - 10.1111/rego.12015
Subject(s) - proxy (statistics) , normative , regulator , adaptation (eye) , relevance (law) , business , knowledge management , public relations , political science , computer science , psychology , law , biology , biochemistry , machine learning , neuroscience , gene
Analysis of the US S ecurities and E xchange C ommission's ( SEC ) treatment of the concept of ownership in the federal proxy rules, between 1934 and 2010, suggests SEC systems and procedures may not employ optimal organizational learning. Addressing this, I develop the L earning R egulator F ramework, a normative model facilitating organizational learning and allowing regulatory agencies to maintain awareness of, and adaptation to, socio‐economic realities in regulated environments, thereby promoting reflective, responsive, relevant, and efficient regulatory frameworks. The relevance of the model to other institutional settings is also considered.