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Organizational and population level learning as engines for career transitions
Author(s) -
Miner Anne S.,
Robinson David F.
Publication year - 1994
Publication title -
journal of organizational behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.938
H-Index - 177
eISSN - 1099-1379
pISSN - 0894-3796
DOI - 10.1002/job.4030150405
Subject(s) - variation (astronomy) , organizational learning , affect (linguistics) , population , psychology , selection (genetic algorithm) , social psychology , knowledge management , sociology , computer science , artificial intelligence , demography , physics , communication , astrophysics
Building inductively on twenty‐four in depth interviews, the authors argue that boundaryless organizations will alter both career theories and actual career mobility patterns. The paper illustrates how both organizational and population level learning can affect individual job transitions within and cross organizations. The three evolutionary learning steps of variation, selection and retention all remain important, but the impact of variation processes may increase. Boundaryless organizations will thus generate career patterns reflecting an underlying logic of organizational learning rather than producing simple atomistic exchange between unfettered actors.