Cited by 1,216Complex Systems and Decision MakingSystems Engineering Methodologies and ApplicationsInnovation Diffusion and Forecasting

System Dynamics Modeling: Tools for Learning in a Complex World

Sterman, John D.·2001·California Management Review

Abstract

Today's problems often arise as unintended consequences of yesterday's solutions. Business and public policy settings suffer from policy resistance, the tendency for well-intentioned interventions to be defeated by the response of the system to the intervention itself. Just as an airline uses flight simulators to help pilots learn, system dynamics enables us to create management flight simulators to avoid policy resistance and design more effective policies. System dynamics is also a process for working with high-level teams designed to improve the chances for implemented results. This article discusses how system dynamics can be used effectively to design high-leverage policies for sustainable improvement and introduces the next three articles in this issue discussing the application of system dynamics to a variety of critical issues facing business leaders today.

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Authors
Sterman, J. D.
Corresponding author
Sterman, John D.
Venue
California Management Review
Published
2001-07
Volume
43
Issue
4
Pages
8-25
ISSN
  • 0008-1256 (ISSN-L)
  • 2162-8564
OpenAlex
W2134805717
Cited by
1,216
References
0
Citations by year
2026: 60 · 2025: 58 · 2024: 72 · 2023: 80 · 2022: 93 · 2021: 110 · 2020: 89 · 2019: 81 · 2018: 75 · 2017: 75 · 2016: 63 · 2015: 53 · 2014: 64 · 2013: 36 · 2012: 52
FWCI
9.67
Type
journal article
Language
en
Open access
closed
Locations
California Management Review (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Complex Systems and Decision Making
  • Physical Sciences › Engineering › Control and Systems Engineering › Systems Engineering Methodologies and Applications
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
Keywords
system dynamics modeling, policy resistance, unintended consequences, policy design, sustainable improvement, complex systems

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