Organization Science
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


ORGANIZATION SCIENCE
Vol. 16, No. 2, March-April 2005, pp. 101-122
DOI: 10.1287/orsc.1050.0116
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Siggelkow, N.
Right arrow Articles by Rivkin, J. W.
Right arrow Search for Related Content

Speed and Search: Designing Organizations for Turbulence and Complexity

Nicolaj Siggelkow, Jan W. Rivkin

Wharton School, University of Pennsylvania, 2211 Steinberg Hall-Dietrich Hall, Philadelphia, Pennsylvania 19104
Harvard Business School, 239 Morgan Hall, Boston, Massachusetts 02163

siggelkow{at}wharton.upenn.edu
jrivkin{at}hbs.edu

We use an innovative technique to examine an enduring but recently neglected question: How do environmental turbulence and complexity affect the appropriate formal design of organizations? We construct an agent-based simulation in which multidepartment firms with different designs face environments whose turbulence and complexity we control. The model’s results produce two sets of testable hypotheses. One set pinpoints formal designs that cope well with three different environments: turbulent settings, in which firms must improve their performance speedily; complex environments, in which firms must search broadly; and settings with both turbulence and complexity, in which firms must balance speed and search. The results shed new light on longstanding notions such as equifinality. The other set of hypotheses argues that the impact of individual design elements on speed and search often depends delicately on specific powers granted to department heads, creating effects that run contrary to conventional wisdom and intuition. Ample processing power at the bottom of a firm, for instance, can slow down the improvement and narrow the search of the firm as a whole. Differences arise between our results and conventional wisdom when conventional thinking fails to account for the powers of department heads—powers to withhold information about departmental options, to control decision-making agendas, to veto firmwide alternatives, and to take unilateral action. Our results suggest how future empirical studies of organizational design might be fruitfully coupled with rigorous agent-based modeling efforts.

Key Words: organizational design; turbulence; complexity; interactions; simulation model



This article has been cited by other articles:


Home page
Management ScienceHome page
D. Lee and E. Van den Steen
Managing Know-How
Management Science, February 1, 2010; 56(2): 270 - 285.
[Abstract] [PDF]


Home page
Journal of ManagementHome page
E. Ennen and A. Richter
The Whole Is More Than the Sum of Its Parts-- Or Is It? A Review of the Empirical Literature on Complementarities in Organizations
Journal of Management, January 1, 2010; 36(1): 207 - 233.
[Abstract] [PDF]


Home page
Journal of Management InquiryHome page
R. M. Grant
Why Strategy Teaching Should be Theory Based
Journal of Management Inquiry, December 1, 2008; 17(4): 276 - 281.
[Abstract] [PDF]


Home page
J ECON GEOGRHome page
K. Press
Divide to conquer? Limits to the adaptability of disintegrated, flexible specialization clusters
J. Econ. Geogr., July 1, 2008; 8(4): 565 - 580.
[Abstract] [Full Text] [PDF]


Home page
Management ScienceHome page
H. Rahmandad
Effect of Delays on Complexity of Organizational Learning
Management Science, July 1, 2008; 54(7): 1297 - 1312.
[Abstract] [PDF]


Home page
Management ScienceHome page
R. O. Chao and S. Kavadias
A Theoretical Framework for Managing the New Product Development Portfolio: When and How to Use Strategic Buckets
Management Science, May 1, 2008; 54(5): 907 - 921.
[Abstract] [PDF]


Home page
Organization ScienceHome page
G. C. Kane and M. Alavi
Information Technology and Organizational Learning: An Investigation of Exploration and Exploitation Processes
Organization Science, September 1, 2007; 18(5): 796 - 812.
[Abstract] [PDF]


Home page
Organization ScienceHome page
M.-H. Chang and J. E. Harrington Jr.
Innovators, Imitators, and the Evolving Architecture of Problem-Solving Networks
Organization Science, July 1, 2007; 18(4): 648 - 666.
[Abstract] [PDF]


Home page
Management ScienceHome page
J. W. Rivkin and N. Siggelkow
Patterned Interactions in Complex Systems: Implications for Exploration
Management Science, July 1, 2007; 53(7): 1068 - 1085.
[Abstract] [PDF]


Home page
Organization ScienceHome page
L. Argote and H. R. Greve
A Behavioral Theory of the Firm--40 Years and Counting: Introduction and Impact
Organization Science, May 1, 2007; 18(3): 337 - 349.
[Abstract] [PDF]


Home page
Organization ScienceHome page
M. G. Jacobides
The Inherent Limits of Organizational Structure and the Unfulfilled Role of Hierarchy: Lessons from a Near-War
Organization Science, May 1, 2007; 18(3): 455 - 477.
[Abstract] [PDF]


Home page
OrganizationHome page
N. J. Foss
The Emerging Knowledge Governance Approach: Challenges and Characteristics
Organization, January 1, 2007; 14(1): 29 - 52.
[Abstract] [PDF]


Home page
Organization ScienceHome page
T. Knudsen and D. A. Levinthal
Two Faces of Search: Alternative Generation and Alternative Evaluation
Organization Science, January 1, 2007; 18(1): 39 - 54.
[Abstract] [PDF]


Home page
Organization ScienceHome page
Z. Lin, X. Zhao, K. M. Ismail, and K. M. Carley
Organizational Design and Restructuring in Response to Crises: Lessons from Computational Modeling and Real-World Cases
Organization Science, September 1, 2006; 17(5): 598 - 618.
[Abstract] [PDF]


Home page
Organization ScienceHome page
R. L. M. Dunbar and W. H. Starbuck
Learning to Design Organizations and Learning from Designing Them
Organization Science, March 1, 2006; 17(2): 171 - 178.
[Abstract] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2005 by INFORMS.