Business Dynamics—Systems Thinking and Modeling for a Complex World

By J. Swanson. Journal of the Operational Research Society, 2002

7,506 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/672dd6422b29fa7cbc31187e91009f25c4a7cf63

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In Management Science and Operations Research

Citations in the corpus

The business model ontology a proposition in a design science approach (2004, background): “Though simulation will never be able to predict the future, it is a way of doing risk free experiments, without endangering an organization (Sterman 2000).”
Water security through scarcity pricing and reverse osmosis: A system dynamics approach (2015, positive): “A C For example: Ruth and Pieper (1994) coupled SD and GIS to simulate changes in the physical landscape of coastal zones; Sterman (2000) introduced a range of SD models for the analysis of policy and strategy, with a focus on business and public policy applications; Xu et al. (2002) used an…”
Using system dynamics to improve public participation in environmental decisions (2002, neutral): “Partly because inmigration pressure is high, and partly because federal land surrounding the Las Vegas metropolitan area limits regional expansion, the model does not include the classic transportation feedback loop described by Sterman (2000) and others.”
Means versus Ends in Opaque Institutional Fields: Trading off Compliance and Achievement in Sustainability Standard Adoption (2014, background): “Causal complexity is further enhanced when outcomes feed back into their causes, thus blurring the distinction between causes and consequences (Sterman, 2000; Levy & Lichtenstein, 2012).”
Bathtub dynamics: initial results of a systems thinking inventory (2000, methodology): “The stock management task is a fundamental structure in many systems and at many levels of analysis, from filling a glass of water to regulating your alcohol consumption to inventory control and capital investment (see Sterman 2000, ch. 17 for discussion and examples).”
Selecting among five common modelling approaches for integrated environmental assessment and management (2013, background): “Each parameter needs to have a real world counterpart (Sterman, 2000), and should be tested for the values for which the model remains valid (Coyle, 2000).”
Misperceptions of global climate change: information policies (2009, background): “A careful investigation of these graphs reveal that for any reasonable Brehmer 1992; Paich and Sterman 1993; Diehl and Sterman 1995; Sweeney and Sterman 2000; Kainz and Ossimitz 2002; Ossimitz 2002).”
Capability Traps and Self-Confirming Attribution Errors in the Dynamics of Process Improvement (2002, methodology): “Note: The loop identifiers (e.g., B1) indicate whether a loop is a balancing (or negative) feedback or a self-reinforcing (or positive) feedback (see Sterman, 2000).”
A comprehensive method for comparing mental models of dynamic systems (2011, methodology): “When one employs the current elicitation methods, e.g.,causal loop diagrams (Lane, 2008; Richardson and Pugh, 1981; Sterman , 2000), one changes and therefore severely biases the mental models whenever no pre-intervention data is collected against which the post-intervention data can be compared.”
The application of discrete event simulation and system dynamics in the logistics and supply chain context (2012, background): “This is not surprising given the level of interest in the bullwhip effect in the SD literature, particularly based around the beer distribution game [136].”
Understanding the evolution of e-government: The influence of systems of rules on public sector dynamics (2007, background): “In order to find the said tipping point, public managers may rely on longitudinal studies of relevant characteristics of e-government action–like sources of funding and requirements–and, additionally, in the use of dynamic modeling techniques (Richardson & Pugh, 1981; Sterman, 2000).”
Artificial Intelligence and Management: The Automation–Augmentation Paradox (2020, background): “More encompassing perspectives, such as paradox theory (Schad et al., 2016) or systems theory (Sterman, 2000), offer a vantage point from which researchers can observe the dynamic interplay between automation and augmentation.”
System dynamics modeling for public health: background and opportunities. (2006, background): “Modeling is an iterative process of scope selection, hypothesis generation, causal diagramming, quantification, reliability testing, and policy analysis.(7) The refinement process continues until the model is able to satisfy requirements concerning its realism, robustness, flexibility, clarity, abil”
System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management (2018, background): “, the micro perspective) and help understand the structure behind a complex phenomenon [58].”
Entrepreneurial ecosystem research: present debates and future directions (2018, neutral): “However, it may be more useful to develop smaller systems, focusing on one part of a wider ecosystem (Sterman, 2000; Ghaffarzadegan, 2011).”
Learning by Doing in the Newsvendor Problem: A Laboratory Investigation of the Role of Experience and Feedback (2008, background): “Firms are found to hold the wrong products in wrong locations or to over-react to random demand fluctuations (Lee, Padmanbhan and Whang 1997), to misunderstand inherent system delays (Sterman 2000) or to systematically order too much (Katok, Lethrop, Tarantino and Xu 2001).”