EconPapers    
Economics at your fingertips  
 

Aspiration Performance and Railroads’ Patterns of Learning from Train Wrecks and Crashes

Joel A. C. Baum () and Kristina B. Dahlin ()
Additional contact information
Joel A. C. Baum: Rotman School of Management, University of Toronto, 105 St. George Street, Toronto, Ontario M5S 3E6, Canada
Kristina B. Dahlin: Rotman School of Management, University of Toronto, 105 St. George Street, Toronto, Ontario M5S 3E6, Canada

Organization Science, 2007, vol. 18, issue 3, 368-385

Abstract: We link two influential organizational learning models---performance feedback and experiential learning---to advance hypotheses that help explain how organizations’ learning from their own and others’ experience is conditioned by their aspiration-performance feedback. Our focus is on learning from failure; this kind of learning is essential to organizational learning and adaptation, and a necessary complement to studies of learning from success. Our analysis of U.S. Class 1 freight railroads’ accident costs from 1975 to 2001 shows that when a railroad’s accident rate deviates from aspiration levels, the railroad benefits less from its own operating and accident experience and more from other railroads’ operating and accident experiences. These findings support the idea that performance near aspirations fosters local search and exploitive learning, while performance away from aspirations stimulates nonlocal search and exploration, providing a foundation for constructing more-integrated models of organizational learning and change.

Keywords: organizational learning; aspiration performance; accident reduction (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (123)

Downloads: (external link)
http://dx.doi.org/10.1287/orsc.1060.0239 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ororsc:v:18:y:2007:i:3:p:368-385

Access Statistics for this article

More articles in Organization Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-04-17
Handle: RePEc:inm:ororsc:v:18:y:2007:i:3:p:368-385