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Micro-Skills for Learning Soft Systems Methodology? Challenges and Opportunities in an Undergraduate Dissertation Project

Author

Listed:
  • Ryan Armstrong

    (University of Barcelona)

  • Guillermo Jiménez

    (University of Barcelona)

Abstract

Soft Systems Methodology (SSM) holds promise as an effective approach to addressing real-world problem situations. However, new learners of SSM can expect a number of challenges in learning the approach: its ambiguity and complexity, the number of likely unfamiliar concepts, its focus on rational analysis over emotion, and the demanding environment in which it is applied. This paper furthers the discussion of the teaching and learning of SSM in undergraduate education by considering SSM and its components from a skills-based perspective. We suggest that attention to critical, underlying component behaviors that make up SSM and an increased consideration of emotional issues in its application are key to improving learning outcomes for initial learners. We explore challenges and an approach for address these through an illustrative case involving an undergraduate dissertation project. Finally, we offer a number of recommendations and possible future lines of research which could support SSM’s more widespread adoption in education and practice.

Suggested Citation

  • Ryan Armstrong & Guillermo Jiménez, 2022. "Micro-Skills for Learning Soft Systems Methodology? Challenges and Opportunities in an Undergraduate Dissertation Project," Systemic Practice and Action Research, Springer, vol. 35(6), pages 831-853, December.
    • Handle: RePEc:spr:syspar:v:35:y:2022:i:6:d:10.1007_s11213-022-09595-y
    DOI: 10.1007/s11213-022-09595-y
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    References listed on IDEAS

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