Research on Learning in Industrial Settings:  Persistence   Turnover, and Transfer
{'Code': '04050100', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}
{'SignBlockName': 'William Bainbridge', 'PO_EMAI': 'wbainbri@nsf.gov', 'PO_PHON': '7032927470'}
Little is known about how and why learning occurs in organizations,             whether it persists, and how to transfer it.  The proposed research             empirically investigates the persistence of learning within                     organizations and the transfer of learning across organizations.  The           role of turnover in learning and its persistence are also examined.             The analyses are based on data collected from one firm in the aerospace         industry producing an advanced jet and from three plants of the same            firm in the automotive industry producing a light truck.  The research          estimates production functions with variables included to assess the            importance of persistence, transfer and labor turnover in affecting the         efficiency of the production process.  In addition to testing whether           learning persists, whether it transfers, and whether turnover is                related to the rate of learning, the research aims to develop a                 theoretical model of learning in organizations that integrates and              explains the empirical findings.  The research will advance scientific          knowledge about why learning occurs in organizations and whether it             persists and transfers.  It should have implications for organizations          to improve their productivity and hence, compete more effectively.
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{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'ZipCode': '152133815', 'PhoneNumber': '4122688746', 'StreetAddress': '5000 FORBES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_ORG': 'PA18', 'ORG_UEI_NUM': 'U3NKNFLNQ613', 'ORG_LGL_BUS_NAME': 'CARNEGIE MELLON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NKNFLNQ613'}
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{'Code': '1321', 'Text': 'Decision, Risk & Mgmt Sci'}
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