Designing for Complexity: Using Divisions and Hierarchy to Manage Complex Tasks
Yue Maggie Zhou ()
Additional contact information
Yue Maggie Zhou: Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742
Organization Science, 2013, vol. 24, issue 2, 339-355
Abstract:
This paper studies the impact of task complexity and decomposability on the degree of organizational divisionalization and hierarchy within firms. Drawing upon the team theory and modularity literature, it argues that the degree of divisionalization is predicated not only on the extent of interdependence (complexity) among tasks but also on the extent to which those interdependent relationships are decomposable. As such, the feasibility and benefits of modularization in organizational design may be overstated when the underlying tasks are not decomposable. In addition, this paper argues that organizational hierarchy serves to mitigate the tension between complexity and decomposability by facilitating a higher degree of divisionalization. These arguments are tested using data on the business activities and organization structures of U.S. equipment manufacturers in 1993–2003. Results show that divisionalization increases with task complexity, suggesting that complex task systems encourage more division of managerial responsibilities. However, divisionalization decreases as task systems become less decomposable. Meanwhile, organizational hierarchy increases with task complexity, and it increases as task systems become less decomposable. These findings highlight the constraints firms face in designing modular organization structures and the role of hierarchy in coordinating complex task systems that are not fully decomposable.
Keywords: division; hierarchy; organization structure; complexity; decomposability; modularity (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (34)
Downloads: (external link)
http://dx.doi.org/10.1287/orsc.1120.0744 (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:24:y:2013:i:2:p:339-355
Access Statistics for this article
More articles in Organization Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().