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RIR-3003 · Logged 13 July 2026

Integrating Soft Systems Methodology into Operations Research for Long-Term Strategic Scenario Planning

This paper explores the future of operations research by applying critical uncertainty approaches and soft systems methodology. It suggests that future studies should investigate the integration of these soft tools to address complex, non-linear changes in the field.

Open to researchMBA suitableQuality 85/100Prior-standard auditP4 provenance
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In plain words

Operations research uses models and numbers to help organisations plan. This study asks how softer methods, which focus on people's differing views of a messy problem, could be combined with it to build better long-term scenarios.

Primary research question

How can Soft Systems Methodology be effectively integrated with traditional Operations Research to improve scenario planning outcomes?

Knowledge gap

What remains worth asking

The source suggests that the application of soft operations research tools in future studies is currently lacking sufficient methodological development.

Potential contribution

Why it may matter

This integration could provide more robust frameworks for managing uncertainty in complex operational environments.

Academic placement

Academic fields and topic tags

Futures StudiesOperations ResearchSystems Engineering

Study frame: Academic and professional operations research communities · Method signals: Delphi Method, Soft Systems Methodology, Workshop-based Scenario Mapping

Possible study pathways

One question, different levels

Professional master’s / MBA

Operations strategy and decision support systems

Doctoral

Methodological innovation in operations research

originality
Moderate
methodology
Advanced
Data access
Accessible
ethics
Accessible

Quality and audit

85/100 quality

Safeguard-based audit was not recorded under the prior standard.

  • Addresses the identified lack of methodology in existing operations research futures.
  • Open-access scholarly source and DOI metadata verified
Current safeguards were not recorded

This older record can be checked against the current standard on request. It changes only if every academic gate and independent safeguard passes.

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Provenance

Research Idea curation

  • DOI and bibliographic metadata independently resolved
  • Open-access status verified
  • The research direction is transparently marked as AI-inferred

The public contributor code contains no name or account email.

APA 7 source

Fathi, M. R., Maleki, M. H., Sobhani, S. M., & Koksal, C. D. (2020). Future study of operations research based on scenario planning and soft systems methodology. foresight, 22(2), 223-249. https://doi.org/10.1108/fs-11-2018-0098

Paper abstract and discussion context; AI-inferred direction

This is an AI-inferred direction. The source authors did not state it as a recommendation.

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This registered research direction is a starting point for academic work. It does not claim to be a completed proposal or to establish novelty.

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