A Bibliographic and Visual Exploration of the Historic Impact of Soft Systems Methodology on Academic Research and Theory

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This article produced descriptive narrative outcomes and data visualizations including information about top soft system methodology (SSM) authors, author citation impacts, common dissemination outlets for SSM work, and other relevant metrics commonly used to measure academic impact. The goal of this piece is to depict who, what, why, when, and where SSM had the greatest impact on research, systems thinking, and methodology after nearly 40 years of use, as we look towards its future as a methodological approach used to comprehend complex problem situations.

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15 p.

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Warren, Scott J.; Sauser, Brian & Nowicki, David February 13, 2019.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Information to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 61 times. More information about this article can be viewed below.

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This article produced descriptive narrative outcomes and data visualizations including information about top soft system methodology (SSM) authors, author citation impacts, common
dissemination outlets for SSM work, and other relevant metrics commonly used to measure academic impact. The goal of this piece is to depict who, what, why, when, and where SSM had the greatest impact on research, systems thinking, and methodology after nearly 40 years of use, as we look towards its future as a methodological approach used to comprehend complex problem situations.

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15 p.

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Abstract: Soft systems methodology (SSM), an analytic method commonly employed in engineering and business research, produces models focused on human activities and relevant structures used to explain complex, engineered systems. The original version of SSM involves seven stages; five address real-world aspects and observable data, while two stages leverage a systems thinking viewpoint. This approach allows the development of a simplified depiction of complex systems representative of the multi-perspective lenses used to comprehend the systemic complexity of a problem and provide a clearer picture to analysts and decision makers. This bibliometric meta-analysis of 286 relevant publications in engineering, business, and other social sciences fields explores the historic impacts of SSM on academic research and systems thinking in relevant publications that described or employed SSM for research from 1980–2018. This study produced descriptive narrative outcomes and data visualizations including information about top SSM authors, author citation impacts, common dissemination outlets for SSM work, and other relevant metrics commonly used to measure academic impact. The goal of this piece is to depict who, what, why, when, and where SSM had the greatest impact on research, systems thinking, and methodology after nearly 40 years of use, as we look towards its future as a methodological approach used to comprehend complex problem situations.

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  • Systems, 2019, Basel: Multidisciplinary Digital Publishing Institute, 1-15

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  • Publication Title: Systems
  • Page Start: 1
  • Page End: 15
  • Pages: 15
  • Volume: 7
  • Peer Reviewed: Yes

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  • December 12, 2018

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  • February 7, 2019

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  • February 13, 2019

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  • March 3, 2020, 10:24 p.m.

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Thumbnail image of item number 1 in: 'A Bibliographic and Visual Exploration of the Historic Impact of Soft Systems Methodology on Academic Research and Theory'.
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Warren, Scott J.; Sauser, Brian & Nowicki, David. A Bibliographic and Visual Exploration of the Historic Impact of Soft Systems Methodology on Academic Research and Theory, article, February 13, 2019; Basel, Switzerland. (https://digital.library.unt.edu/ark:/67531/metadc1616609/: accessed May 29, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Information.

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