Decision Sciences · Research topic

Open research questions in Complex Systems and Decision Making

286 unresolved questions extracted from the limitations and future-work sections of 1,735 Complex Systems and Decision Making papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • Figure 14 shows that construction vary widely at all levels of GDP per capita. Negative values of ˜U A play a role similar to that of increasing the cost of high project scales in the one-phase model: inhibiting large scales generates projects that are insufficient to deter revisions.

    Organizational Capacity and Project Dynamics, · 2026 · DOI
  • The limited adoption of sustainability principles in HRM practices, with only 20% of organizations in developing countries actively integrating them. The lack of integration of ecological and inclusive perspectives in existing SHRM frameworks. The need for innovative approaches to address sustainability challenges in HRM practices.

    A Conceptual Framework for Sustainable Human Resource Management: Integrating Ecological and Inclusive Perspectives · 2025 · DOI
  • However, models alone are insufficient, as part of the uncertainties involve justice dilemmas.

    How to build a campfire? Participatory modelling with justice · 2026
  • It introduces a novel framework that bridges gaps in the literature by integrating ecological sustainability and social inclusivity dimensions to enhance SHRM practices.

    A Conceptual Framework for Sustainable Human Resource Management: Integrating Ecological and Inclusive Perspectives · 2025 · DOI
  • The strategic issue diagnosis process is a critical and relatively poorly understood element of strategic decision-making (Dutton, Fahey and Narayanan, 1983; Mintzberg, Raisinghani and Theoret, 1976).

    The creation of momentum for change through the process of strategic issue diagnosis · 1987 · DOI
  • We note, however, in passing that even the choice of such words engenders a particular view of science; is scientific knowledge discovered or invented? Is such knowledge justified, validated or corroborated? Although there is no consensus as regards the rationality of theory choice in science, the views of some philosophers may offer useful insights for science educators.

    Beyond Processes · 1987 · DOI
  • The paper identifies a gap in the understanding of the distinction between complex systems and complex adaptive systems. The paper argues that the distinction is often implicit or unstated in the adoption of complexity ideas.

    Complex systems vs. complex adaptive systems: why the difference matters · 2026 · DOI
  • Most explanations of behaviour rely on psychological interpretation or narrative reasoning. These approaches do not explain why behaviour emerges in the first place.

    A Unified Structural Theory of Behaviour Under Constraint: Architecture, Agency, and Non‑Inevitable Futures · 2026 · DOI
  • The paper acknowledges the current evidential limits of SOC - The methodology is still emerging and requires further research and evaluation

    Systemic Organizational Constellations (SOC) as a Soft Methodology for Complexity Reduction and Change: Epistemological and Theoretical Foundations · 2026 · DOI
  • Comparative studies of SOC with other Problem Structuring Methods and Soft Systems Methodology - Process and outcome studies of SOC interventions - Further development of the Minimum Reporting Standards for SOC

    Systemic Organizational Constellations (SOC) as a Soft Methodology for Complexity Reduction and Change: Epistemological and Theoretical Foundations · 2026 · DOI
  • Paradox theory has limitations as a diagnostic lens, not specifying structural functions and information-processing capacities. The paper acknowledges the need for a complementary lens to conceptualise programmes as viable systems.

    “Are we ready to innovate?” Diagnosing organisational conditions for educational innovation: A systems perspective on adaptive capacity in Higher Education · 2026 · DOI
  • There is a diagnostic gap in assessing organisational conditions for innovation. Existing research focuses on designing and managing innovation processes, rather than assessing organisational conditions.

    “Are we ready to innovate?” Diagnosing organisational conditions for educational innovation: A systems perspective on adaptive capacity in Higher Education · 2026 · DOI
  • The gap between the rate of technological change and the ability of systems to adapt and absorb change. The lack of a structural framework for understanding civilizational stability under rapid technological change.

    Acceleration-Capacity Gap Model (ACGM): A Structural Framework for Civilizational Stability in the AI Era · 2026 · DOI
  • Further development of the Relational Dynamics framework. Application of the framework to various domains, including complexity, organisations, governance, AI, language, culture, education, natural and social sciences, and beyond.

    Relational Dynamics™: Ontology of Relational Dynamics · v0.2 · 2026 · DOI
  • Existing ontologies do not provide a high enough resolution account of system trajectory. There is a need for a framework that can help understand how systems form, stabilise, drift, adapt, and sometimes collapse under constraint over time.

    Relational Dynamics™: Ontology of Relational Dynamics · v0.2 · 2026 · DOI
  • Traditional strategic frameworks are insufficient for addressing contemporary challenges. There is a need for a more adaptive and interconnected approach to corporate strategy.

    The Evolution of Corporate Strategy: Integrating Systems Thinking into Modern Business Leadership · 2026 · DOI
  • Current maturity models for KI-Einführung have limitations, such as not considering governance as a separate dimension. There is a lack of a structured framework for diagnosing and planning agent-based transformation.

    Autonomie braucht Governance: Ein mehrdimensionales Reifegradkonstrukt für die agentische Transformation von Geschäftsmodellen · 2026 · DOI
  • The current design paradigm may be insufficient for complex socio-technical systems. There is a need for a framework that integrates systems science and design theory.

    Toward design for complexity: an integrated framework for iterative co-evolution across complex socio-technical systems · 2026 · DOI
  • The complexity of temporal dynamics in educational systems - The need to balance stability and adaptability in temporal governance - The challenge of measuring and operationalizing temporal governance

    Toward a Theory of Temporal Governance in Education: How Institutional Time Structures Shape Organizational Decision-Making and Educational Outcomes · 2026 · DOI
  • Future empirical research can use the proposed framework to investigate the relationships between institutional time structures, temporal governance, decision-making processes, and educational outcomes - Future studies can explore the application of temporal governance in different educational contexts

    Toward a Theory of Temporal Governance in Education: How Institutional Time Structures Shape Organizational Decision-Making and Educational Outcomes · 2026 · DOI
  • Future research could explore the application of Importance Performance Analysis and system dynamics simulation to other industries or locations. Future research could investigate the impact of improving return guarantees, product design, and promotions on customer satisfaction and loyalty.

    Feasibility of Value Propositions Based on Importance Performance Analysis and Risk Using Simulation: Evidence From SMEs · 2026 · DOI
  • The study identifies a gap in the literature on the feasibility of value propositions in Small and Medium Enterprises. The study highlights the need for a strategic framework to enhance customer satisfaction, reduce operational costs, and attain sustainable growth.

    Feasibility of Value Propositions Based on Importance Performance Analysis and Risk Using Simulation: Evidence From SMEs · 2026 · DOI
  • None of these papers provide a model-agnostic framework or toolkit for measuring when and how an adaptive system should recalibrate its user model in response to detected drift in user state; existing work assumes static or slowly-changing user profiles but does not operationalize detection and response to sudden shifts in needs, knowledge, or preferences.

    Life-inspired interoceptive artificial intelligence for autonomous and adaptive agents · 2026 · DOI
  • No study in this set jointly models how multiple dimensions of user state—simultaneously tracking evolving knowledge level, interaction history, emotional or cognitive load, and explicit preferences—should be integrated into a single adaptive mechanism; existing work treats these as separate variables rather than an interdependent state vector.

    Life-inspired interoceptive artificial intelligence for autonomous and adaptive agents · 2026 · DOI
  • The note forms part of the Governance Capability Evolution Framework (GCEF) research programme developed through PHOENIX Knowledge Hub and provides a bridge toward further research on governance as an evolving capability rather than a static control set.

    Can governance remain effective when its environment changes faster than its controls? · 2026 · DOI

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286 open questions have been extracted from the limitations and future-work passages of 1,735 Complex Systems and Decision Making papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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