EconPapers    
Economics at your fingertips  
 

Take Your Time? How Activity Timing Affects Organizational Learning and Performance Outcomes

Vinit Desai () and Peter Madsen ()
Additional contact information
Vinit Desai: Management Department, Denver Business School, University of Colorado Denver, Denver, Colorado 80217
Peter Madsen: Management Department, Marriott School of Business, Brigham Young University, Provo, Utah 84602

Organization Science, 2022, vol. 33, issue 5, 1707-1723

Abstract: Organizational learning theory has long examined how organizations learn to perform better as they accumulate experience. Although experience accumulation is inherently related to the timing of the repeated activities carried out by an organization, the direct relationship between activity timing and organizational learning has not been examined explicitly in the literature and remains an open question. Organizational learning theory contains two competing perspectives on how timing should impact learning—one suggesting that iterating faster is better for learning and one suggesting that taking more time between iterations is more helpful. Here, we reconcile these perspectives and develop a theory about the boundary conditions between them, arguing that, in general, iterating more rapidly enhances learning but that iterations of novel or complex activities, or ones following recent failure, benefit from a slower pace. We conduct tests of this theoretical perspective using data from the entire history of the orbital satellite launch industry from 1957–2017, and we find broad support for our theory and hypotheses.

Keywords: organizational learning; timing; knowledge depreciation; learning from failure; launch vehicles (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/orsc.2021.1490 (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:33:y:2022:i:5:p:1707-1723

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 2025-03-19
Handle: RePEc:inm:ororsc:v:33:y:2022:i:5:p:1707-1723