What question did this study set out to answer?

The aim is to formalize systemic organizational constellations (SOC) as a soft methodology for managing complexity and promoting organizational change.

May 9, 2026Open Access

Systemic Organizational Constellations (SOC) as a Soft Methodology for Complexity Reduction and Change: Epistemological and Theoretical Foundations

Puntos clave

The aim is to formalize systemic organizational constellations (SOC) as a soft methodology for managing complexity and promoting organizational change.
Synthesize epistemological strands linked to SOC such as systems thinking and complexity.
Outline a five-phase procedural logic for SOC including framing and systemic exploration.
Introduce Minimum Reporting Standards (MRS) to enhance methodological clarity and future assessments.
Defined procedural logic includes phases from framing to follow-up, aimed at improving organizational outcomes.
Advised Minimum Reporting Standards (MRS) for better comparability and traceability in SOC research.
Positioned SOC among existing methodologies, highlighting its non-therapeutic, action-oriented nature.

Resumen

Abstract Systemic Organizational Constellations (SOC) are a facilitative practice used by consultants to explore problematic situations through spatial representation and embodied sensemaking. Despite growing use, SOC remain under-theorized and unevenly reported, which limits scholarly assessment. SOC are not introduced here as an author-invented technique; rather, this conceptual paper formalizes an existing practice as an emerging soft methodology for complexity reduction and organizational change. We synthesize key epistemological strands associated with SOC - systems thinking and complexity, cybernetics and second-order learning, constructivist sensemaking, phenomenology/embodied cognition, and teleological modeling - and translate them into explicit methodological commitments. The paper contributes (1) a five-phase procedural logic (framing, representational setup, systemic exploration, problem-to-task translation, and follow-up/learning) with typical outputs and boundary conditions, and (2) Minimum Reporting Standards (MRS) to improve traceability, comparability, and future empirical evaluation. We position SOC within Problem Structuring Methods and Soft Systems Methodology, clarifying how SOC can complement existing approaches while remaining non-therapeutic and action-oriented. We conclude by specifying current evidential limits and outlining a research agenda for comparative, process, and outcome studies.

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