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Organizational Learning Activities in High‐hazard Industries: The Logics Underlying Self‐Analysis[Note 1. Address for reprints: John S. Carroll, MIT Sloan School, ...]
Author(s) -
Carroll John S.
Publication year - 1998
Publication title -
journal of management studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.398
H-Index - 184
eISSN - 1467-6486
pISSN - 0022-2380
DOI - 10.1111/1467-6486.00116
Subject(s) - anticipation (artificial intelligence) , resilience (materials science) , process (computing) , root cause analysis , psychological resilience , work (physics) , plan (archaeology) , hazard , organizational learning , business , computer science , knowledge management , psychology , social psychology , artificial intelligence , engineering , chemistry , physics , forensic engineering , archaeology , organic chemistry , thermodynamics , operating system , mechanical engineering , history
Organizational learning takes place through activities performed by individuals, groups, and organizations as they gather and digest information, imagine and plan new actions, and implement change. I examine the learning practices of companies in two industries – nuclear power plants and chemical process plants – that must manage safety as a major component of operations, and therefore must learn from precursors and near‐misses rather than exclusively by trial‐and‐error. Specifically, I analyse the linked assumptions or logics underlying incident reviews, root cause analysis teams, and self‐analysis programmes. These logics arise from occupational and hierarchical groups that work on different problems in different ways – for example, anticipation and resilience, fixing and learning, concrete and abstract. In organizations with fragmentary, myopic and disparate understandings of how the work is accomplished, there are likely to be more failures to learn from operating experience, recurrent problems, and cyclical crises. Enhanced learning requires ways to broaden and bring together disparate logics.