The Leadership Execution Institute publishes research reports on leadership inconsistency, Drift patterns, FONE Factors, reinforcement gaps, decision quality, and Leadership Execution Systems that stabilize behavior over time. These reports integrate field observations, practitioner data, behavioral diagnostics, and applied research frameworks validated through the Institute’s Zenodo research archive.
Reports are updated as new findings emerge. Each publication follows the Institute’s structured approach to Drift, FONE, culture calibration, and real-time reinforcement.
Executive Reports
The Momentum Metric: Selecting and Executing for Volatility in the AI Era
research report · Momentum Metric series
Organizations acquire AI capability faster than they can absorb, decide, reinforce, and sustain it.
The Momentum Metric documents the execution operating-system mismatch behind stalled pilots, manager-layer strain, and the Drift Tax. For chief financial officers and chief operating officers who share the design decision, not only the deployment budget.
Why AI pilot spend does not reach the P&L
Details and Access Download the full reportThe Momentum Metric: Selecting and Executing for Volatility in the AI Era
Current Research Reports
The Talent Recalibration: Selecting for Biological Adaptability and Execution Readiness During the Triple Transition
DOI: https://doi.org/10.5281/zenodo.19897431
This published research paper examines why traditional talent acquisition models relying on static psychometric assessments structurally fail in volatile environments driven by the “Triple Transition” (AI acceleration, energy restructuring, and geopolitical realignment). It introduces the “Cortisol Trap” to explain how chronic organizational pressure degrades prefrontal executive function, and defines the “Drift Tax” as the compounding financial liability that occurs when organizations are forced to repeatedly pay for decaying leadership performance. The report argues for a definitive shift toward “Biological Adaptability”—selecting leaders physiologically equipped to maintain momentum, regulate stress, and sustain the Kinetic Chain of Execution.
Included in the report:
- The collapse of predictive validity in traditional personality assessments (MBTI, DISC) under VUCA conditions
- The neurological mechanics of the “Cortisol Trap” and the HPA axis in chronic organizational stress
- The definition of the “Drift Tax” as a compounding financial liability caused by systemic execution drift
- Stratified selection criteria outlining the distinct biological and cognitive requirements for Senior, Mid-Level, and Frontline leaders
- Integration of the A.X.I.S. Engine and the Science of Momentum for structural execution alignment
The FONE Report: Behavioral Forces Behind Leadership Drift
Zenodo DOI: https://doi.org/10.5281/zenodo.17394116
This foundational report introduces the four behavioral forces that reliably drive leadership inconsistency under pressure: Fear, Overconfidence, Negative Impressions, and Execution Blindness. The framework provides a behavioral map that helps researchers and practitioners identify, measure, and explain why leaders deviate from expected standards even when they know the right behavior.
Included in the report:
- Behavioral maps for each FONE Factor
- Links between FONE activation, Drift progression, and decision quality
- Field observation patterns for early detection
- Implications for culture calibration and reinforcement design
Referenced In:
- Leadership Execution Drift in Contact Centers: The FONE Framework for Culture-Calibrated AI Integration
- Decision Agility and Behavioral Consistency in High-Pressure Environments
Decision Agility in the Race to Leverage AI: Why Decision Speed Is Now the Ultimate Competitive Advantage
Published Zenodo DOI: https://doi.org/10.5281/zenodo.17425566
This published research brief defines Decision Agility as the capability that converts pressure into clarity, speed, and aligned execution in VUCA environments. It introduces the C.A.L.M. Model (Clarify, Assess, Limit the Noise, Move with Confidence) and shows why leadership indecision—not technology—is driving the failure rate of AI initiatives. The report links Decision Agility to the FONE Framework and the Leadership Execution System (LES) to explain how leaders can make faster, more confident decisions in the flow of work.
Included in the report:
- Definition of Decision Agility and why the capability gap is widening in AI-driven environments
- Introduction to the C.A.L.M.™ Model for structured, confident decision-making
- How FONE Factors distort executive judgment under pressure
- Why leadership indecision—not technology—is the primary cause of AI project failures
- How Decision Agility integrates with the Leadership Execution System (LES) to reinforce fast, aligned choices
Execution System Research Briefs
Zenodo DOI Series: To be published as a set of Execution System research briefs on Zenodo. Individual DOIs will be listed here as each brief is released.
These briefs outline the structure, architecture, and operational patterns of Leadership Execution Systems — models that replace traditional leadership training with systems that calibrate behavior in daily workflows.
Topics covered:
- Architecture of Execution Systems
- Real-time reinforcement loops and prompts
- Culture-calibration layers for AI guidance
- Behavioral consistency across teams and sites
- Diagnostic tools for system alignment
About the Leadership Execution Institute (LEI) Community on Zenodo
Location: https://zenodo.org/communities/leadership-execution-institute/
The Leadership Execution Institute (LEI) curates, synthesizes, and publishes applied research focused on organizational momentum, leadership inconsistency, and execution stability. To ensure this research is openly accessible, we maintain a dedicated Zenodo Community Archive.
This hosted repository houses our reports, conceptual syntheses, and behavioral diagnostics exploring the biological and structural realities of Execution Drift, the FONE Factors (Fear, Overconfidence, Negative Impressions, Execution Blindness), and the design of Leadership Execution Systems (LES) that calibrate behavior in real-time.
By bridging behavioral neuroscience, dynamic systems theory, and operational mechanics, our Zenodo community provides practitioners, organizational architects, and researchers with evidence-informed frameworks to manage biological resistance, govern decision quality, and sustain the Kinetic Chain of Execution in highly volatile, AI-accelerated environments.
Upcoming Research Publications
Upcoming reports are in development and will be published through Zenodo with formal DOIs.
Planned releases include:
- The Execution Drift Progression Model – How Small Deviations Become Systemic Leadership Failure
- Decision Quality Indicators Under Execution Drift Conditions
- Observation Patterns for Detecting FONE Activation
- Culture Calibration Frameworks for Behavioral Consistency
- Reinforcement Gap Impact Study
- Multi-Site Variance Mapping and Drift Classification Models
Accessing Institute Reports
Researchers, analysts, and organizations may request extended editions, datasets, or collaboration opportunities related to the Institute’s Zenodo-published reports and archives.
Using These Reports in Your Own Work
Institute research is used across sectors to:
- Interpret Execution Drift patterns inside complex work environments
- Detect FONE activation and behavioral distortion
- Evaluate reinforcement gaps in daily workflows
- Compare variance across teams, shifts, and sites
- Design culture-calibrated reinforcement models
- Translate field observations into diagnostic maps
The research encourages a system-based understanding of leadership behavior instead of style-based interpretation.
Citations and Reference Index
Zenodo Research Citations
- Rembach, J. (2026). The Talent Recalibration: Selecting for Biological Adaptability and Execution Readiness During the Triple Transition. https://doi.org/10.5281/zenodo.19897431
- Rembach, J. (2025). The FONE Report: Behavioral Forces Behind Leadership Drift. Zenodo. https://doi.org/10.5281/zenodo.17394116
- Rembach, J. (2025). Decision Agility in the Race to Leverage AI: Why Decision Speed Is Now the Ultimate Competitive Advantage. Zenodo. https://doi.org/10.5281/zenodo.17425566
- Rembach, J. (in development). Physiology Drives Drift, Psychology Prevents It. Forthcoming Zenodo publication.
- Rembach, J. (in development). Decision Agility and Behavioral Consistency: Extended Study. Forthcoming Zenodo publication.