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Elaborating a Critical Realist Approach to Soft Systems Methodology

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Abstract

This paper explores the implications of adopting a critical realist approach to soft systems methodology (SSM) both to address local problematic situations and to develop deeper explanations. However, its potential as a means for developing generalizable knowledge for management science has been limited due at least in part to its adherence to strong interpretivism. After exploring the history of soft systems methodology and basic tenants of critical realism, the paper builds on previous discussions of ways in which SSM is compatible with a critical realist approach. Next, the consequences for such an approach are considered by examining a case in which SSM was integrated into a critical realist approach for discovery as means to guide large-scale reform in a non-profit organization. The case revealed that critical realism served as an effective guide both for incorporating existing knowledge as well as setting the stage for its possible modification. Opportunities and challenges in the approach are presented. Apart from the adoption of a realist ontology, a critical realist approach to SSM requires assuming a dual-role as an insider--outsider, which presents a number of challenges. However, it appears soft systems methodology are highly compatible and could serve to help bridge the practice--research gap.

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Authors and Affiliations

  1. Faculty of Economics and Business, University of Barcelona, Avinguda Diagonal 690, Torre 2,4, 08034, Barcelona, Spain

    Ryan Armstrong

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  1. Ryan Armstrong
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Correspondence to Ryan Armstrong.

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Armstrong, R. Elaborating a Critical Realist Approach to Soft Systems Methodology. Syst Pract Action Res 32, 463–480 (2019). https://doi.org/10.1007/s11213-018-9466-7

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