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SCIENCE ROOM

The Science Room

Peer-reviewed research behind the architecture. Filter by AI layer or year.

Showing 15 of 15 papers

  • AI Change ManagerMeasurement theory2019

    Guttman scaling for organizational readiness assessment

    van de Poll, J. et al. · 84 citations

    We demonstrate that Guttman-scaled instruments remove self-rating inflation that systematically biases Likert-based organizational surveys across senior cohorts.

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  • AI Data ScientistOptimization2021

    Multi-objective genetic optimization for transformation roadmaps

    van de Poll, J., et al. · 63 citations

    A multi-objective evolutionary approach to selecting interventions across cost, time and impact dimensions, validated against 47 live transformation programmes.

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  • AI CoachBehavioural science2022

    Behavioural nudges in enterprise change adoption

    de Vos, F., van de Poll, J. · 41 citations

    Field study across 12 organizations showing personalised nudges sustain adoption 3.4 times longer than control communications.

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  • AI AuditorCompliance2023

    AI-assisted document audit for ISO compliance gaps

    van de Poll, J. et al. · 27 citations

    Automated triangulation of policy, process and evidence documents reduces human audit preparation time by 62%, with detection parity on critical gaps.

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  • AI Change ManagerVisualization2018

    Heat maps of soft organizational dynamics

    van de Poll, J. · 122 citations

    Introduces the Heat Map artefact that turns Guttman-scaled survey output into a single decision-grade diagram for leadership teams.

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  • AI Data ScientistPredictive modelling2020

    Predictive KPI modelling from soft signals

    van de Poll, J., Stein, A. · 58 citations

    Demonstrates statistically significant predictive lift on financial KPIs from soft-signal features across retail and horticulture sectors.

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  • AI Change ManagerNetwork analysis2022

    Buddy Map: relational structure in transformation teams

    de Vos, F., van de Poll, J. · 35 citations

    A visual relational-network artefact derived from survey co-occurrence patterns, predictive of programme stall events.

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  • AI AuditorGovernance2024

    Sharia-compliant decision frameworks in AI advisory

    de Vos, F. et al. · 9 citations

    Adapts the AI Auditor framework to Sharia-compliant evaluation criteria for Islamic finance institutions in the MENA region.

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  • AI Change ManagerMethodology2020

    Scaling questionnaires across multilingual workforces

    van de Poll, J. · 24 citations

    Cross-linguistic scalability checks for Guttman instruments deployed across EN, NL, AR and FR workforces.

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  • AI Data ScientistDecision science2024

    Prescriptive roadmaps under uncertainty

    van de Poll, J., Stein, A. · 7 citations

    Robust-optimization extensions to PRAIORITIZE's prescriptive layer for high-uncertainty public-sector transformations.

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  • AI CoachBehavioural science2023

    Nudge timing in remote workforces

    de Vos, F. et al. · 12 citations

    Empirical investigation of optimal nudge delivery windows for distributed workforces across four time zones.

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  • AI AuditorCompliance2022

    Document-policy alignment in regulated industries

    van de Poll, J. et al. · 31 citations

    Method for measuring alignment between stated policy and operational evidence across financial-services case studies.

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  • AI Change ManagerEmpirical study2021

    Transformation readiness across 1.000 programmes

    van de Poll, J. · 94 citations

    Aggregated analysis of readiness signatures across 1.000+ transformation programmes, identifying five archetypes that predict outcome.

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  • AI CoachEngagement2024

    Engagement decay curves in long-running transformations

    de Vos, F., van de Poll, J. · 5 citations

    Decay-curve modelling for engagement across programmes longer than 18 months, with counter-decay nudge protocols.

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  • AI Data ScientistCausality2025

    From soft data to hard KPIs: a causal framework

    van de Poll, J. et al. · 2 citations

    Causal-inference scaffolding that links Guttman-scaled soft-signal features to operational KPIs with explicit assumptions.

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