Exploring the use of Soft Systems Methodology with realist approaches: A novel way to map programme complexity and develop and refine programme theory
Author(s) -
Sonia Dalkin,
Monique Lhussier,
Lynne Williams,
Christopher R Burton,
Jo RycroftMalone
Publication year - 2018
Publication title -
evaluation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.998
H-Index - 49
eISSN - 1461-7153
pISSN - 1356-3890
DOI - 10.1177/1356389017749036
Subject(s) - soft systems methodology , critical realism (philosophy of perception) , systems thinking , transparency (behavior) , management science , computer science , systems theory , process (computing) , realism , sociology , epistemology , artificial intelligence , information system , engineering , philosophy , management information systems , operating system , computer security , electrical engineering
As the use of realist approaches gains momentum, there is a growing interest in how systems approaches can complement realist thinking. In this article, we discuss how the epistemology of Soft Systems Methodology is compatible with realist approaches. Both Soft Systems Methodology and realist approaches emphasize the necessity to engage stakeholders; through models, the description of contingencies and exploring the intricacies of how complex programmes really work. We outline the key elements of realist approaches and Soft Systems Methodology, and report on two novel case studies. Drawing on our own experiences, we make the case that, used in conjunction with a realist approach, Soft Systems Methodology can provide a useful tool to a) map programme complexity, and b) develop and refine stakeholders programme theories, thus increasing the transparency, reliability, validity and accuracy of the theory building and refining process in realist approaches. We highlight Soft Systems Methodology as a novel companion to realist approaches and detail the first case studies of its use.
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