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RICHARD M. BURTON
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Name
Affiliation
Papers
RICHARD M. BURTON
Fuqua School of Business, Duke University, 2138 Campus Drive, Durham, NC 27708-6245, USA. <rfc822>rmb2@duke.edu</rfc822>
16
Collaborators
Citations
PageRank
22
195
56.61
Referers
Referees
References
335
111
97
Search Limit
100
335
Publications (16 rows)
Collaborators (22 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
How Firm Boundaries And Relatedness Jointly Affect Diversification Value: Trade-Offs Between Governance And Flexibility
0
0.34
2021
How controls influence organizational information processing: insights from a computational modeling investigation
1
0.35
2015
Justification shift and uncertainty: why are low-probability near misses underrated against organizational routines?
1
0.34
2013
Organizing for Product Development Across Technological Environments: Performance Trade-offs and Priorities
7
0.54
2011
Computational Modeling for What-Is, What-Might-Be, and What-Should-Be Studies---And Triangulation
18
0.75
2011
The effect of virtuality on the functioning of centralized versus decentralized structures—an information processing perspective
0
0.34
2010
Special Issue: Organizational Design: Designing a New Organization at NASA: An Organization Design Process Using Simulation.
0
0.34
2006
Computational Laboratories for Organization Science: Questions, Validity and Docking
20
1.45
2003
Erratum: Return on Assets Loss from Situational and Contingency Misfits
4
0.98
2003
Return on Assets Loss from Situational and Contingency Misfits.
14
3.26
2002
Three Controls are Better than One: A Computational Model of Complex Control Systems
5
1.65
2002
The Effect of Task Uncertainty and Decentralization on Project Team Performance
7
0.60
2002
Exploring Depth Versus Breadth in Knowledge Management Strategies
12
0.78
2002
Organizations and Complexity: Searching for the Edge of Chaos
16
1.17
2000
Virtual Teams: What are their Characteristics, and Impact on Team Performance?
28
1.94
2000
The validity of computational models in organization science: from model realism to purpose of the model
62
41.79
1995
1