{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp11_mechanism_context_external20_20260804","research_id":"eoa_inverse_innovation_exp11_external_scrutiny_20260804","cell_id":"invariant_mode_decomposition_design__organizational_management","opaque_id":"invariant_mode_decomposition_design__organizational_management__A","search_lanes":{"direct_problem":{"queries":["organizational workload capacity backlog delay reinforcing loop system dynamics eigenvalue analysis intervention","service operations workload capacity delay rework absence backlog system dynamics capability trap","Oliva Sterman cutting corners working overtime demand pressure service quality erosion","site:hse.gov.uk management standards workload demands worker consultation stress"],"source_ids":["SRC1","SRC5","SRC7"],"no_result_note":null},"closest_prior_art":{"queries":["eigenvalue elasticity analysis system dynamics policy design dominant mode organization","A comprehensive analytical approach policy analysis system dynamics eigenvalue eigenvector inventory workforce","dynamic mode decomposition with control observational data complex systems","VAR eigenvalues organizational operations workload capacity intervention"],"source_ids":["SRC2","SRC3","SRC4"],"no_result_note":"No source located that combined the organizational application, preregistered ridge-VAR mode qualification, signed transition-coefficient intervention, randomized comparison with forecasting, and worker/service/spillover guardrails in one study."},"historical_terminology":{"queries":["industrial dynamics backlog workforce capacity delay oscillation Forrester eigenvalues","production inventory control workforce backlog eigenvalue policy analysis system dynamics","capability traps firefighting process improvement workload delay","cutting corners working overtime service capacity demand management practices"],"source_ids":["SRC1","SRC2"],"no_result_note":null},"products_practices_standards":{"queries":["site:iso.org ISO 45003 workload work pace organizational change worker participation","site:hse.gov.uk management standards workload work patterns employee representatives","workforce management product backlog capacity workload forecast scheduling official","Microsoft Dynamics workforce management forecast capacity scheduling monitoring"],"source_ids":["SRC5","SRC6","SRC8"],"no_result_note":null},"non_english_regional":{"queries":["site:baua.de Arbeitsintensität Fehlzeiten Arbeitsbelastung Kapazität Rückstand Verzögerung","carga de trabajo capacidad retraso reproceso ausentismo dinámica de sistemas organización","charge de travail capacité retards absentéisme dynamique des systèmes organisation","site:insst.es carga de trabajo riesgos psicosociales organización trabajo"],"source_ids":["SRC7"],"no_result_note":"Spanish, German, and French terminology was searched. The retained Spanish official source directly addressed workload, work pace, errors, participation, organizational design, and psychosocial harm; no regional source located the complete modal-control package."},"composition_subproblems":{"queries":["ridge regularized VAR eigenvalues bootstrap stability multivariate time series","dynamic mode decomposition control snapshots eigenvectors growth modes","workload capacity backlog rework absence scheduling handoff intervention","system dynamics eigenvalue policy parameter change inventory workforce model"],"source_ids":["SRC1","SRC2","SRC3","SRC4","SRC8"],"no_result_note":null}},"sources":[{"source_id":"SRC1","title":"Cutting Corners and Working Overtime: Quality Erosion in the Service Industry","url":"https://pubsonline.informs.org/doi/abs/10.1287/mnsc.47.7.894.9807","publisher":"INFORMS, Management Science","date_or_year":"2001","source_type":"PRIMARY_RESEARCH","language":"English","claims_supported":["A field-calibrated service-operations model found that temporary demand-capacity imbalances interact with effort allocation, overtime, capacity-management, and quality rules to produce persistent service deterioration.","Local short-term responses can form reinforcing organizational feedback and conceal longer-term harm.","The study used econometric estimation, interviews, observations, and archival data from a UK bank service center."]},{"source_id":"SRC2","title":"A Comprehensive Analytical Approach for Policy Analysis of System Dynamics Models","url":"https://www.sciencedirect.com/science/article/abs/pii/S0377221709006316","publisher":"Elsevier, European Journal of Operational Research","date_or_year":"2010","source_type":"PRIMARY_RESEARCH","language":"English","claims_supported":["System-dynamics policy analysis already uses eigenvalues as behavior modes, eigenvectors and dynamic-decomposition weights, and parameter sensitivity to search for leverage policies.","The method was demonstrated on an inventory-workforce model involving production and capacity-adjustment dynamics.","It links policy-induced structural changes to amplification or suppression of particular modes, making it the closest mechanism-level prior art."]},{"source_id":"SRC3","title":"Dynamic Mode Decomposition with Control","url":"https://epubs.siam.org/doi/10.1137/15M1013857","publisher":"Society for Industrial and Applied Mathematics","date_or_year":"2016","source_type":"PRIMARY_RESEARCH","language":"English","claims_supported":["DMD with control estimates a best-fit linear transition operator and control effects from time-ordered state and actuation snapshots.","The method separates uncontrolled dynamics from input effects and extracts eigenmodes, including unstable growth modes.","This establishes adjacent data-driven modal-control methodology, although not its organizational or worker-safety application."]},{"source_id":"SRC4","title":"Ridge Regularized Estimation of VAR Models for Inference","url":"https://www.econstor.eu/bitstream/10419/319273/1/JTSA_JTSA12737.pdf","publisher":"John Wiley & Sons, Journal of Time Series Analysis; hosted by EconStor","date_or_year":"2025; first published online 2024","source_type":"PRIMARY_RESEARCH","language":"English","claims_supported":["Ridge-regularized VAR estimation and cross-validation under temporal dependence are established statistical methods.","Regularization can alter estimated autoregressive stability in complex ways and can even increase estimated dependence.","Valid inference requires conditions on penalty behavior; shrinkage does not provide a free reduction in uncertainty, supporting caution about small-sample modal thresholds."]},{"source_id":"SRC5","title":"What are the Management Standards?","url":"https://www.hse.gov.uk/stress/standards/overview.htm","publisher":"UK Health and Safety Executive","date_or_year":"Current guidance accessed 2026-08-04","source_type":"OFFICIAL_GUIDANCE","language":"English","claims_supported":["Poorly managed workload, work patterns, control, support, role, and organizational change are associated with poor health, reduced productivity, accidents, and sickness absence.","Employers have a legal duty in the UK to assess and act on work-related stress risks.","The guidance calls for partnership with employees and their representatives, supporting participatory authorization and monitoring."]},{"source_id":"SRC6","title":"ISO 45003:2021 Occupational health and safety management — Psychological health and safety at work — Guidelines for managing psychosocial risks","url":"https://www.iso.org/standard/64283.html","publisher":"International Organization for Standardization","date_or_year":"2021","source_type":"OFFICIAL_STANDARD","language":"English and Spanish","claims_supported":["Organizations can manage psychosocial risk within an ISO 45001 occupational-health-and-safety system.","The standard applies across sectors and organization sizes and covers prevention of worker injury and ill health.","Its use of 'worker' includes worker representatives where they exist, supporting representative participation in governance."]},{"source_id":"SRC7","title":"Riesgos Laborales Psicosociales","url":"https://www.insst.es/materias/riesgos/riesgos-psicosociales","publisher":"Instituto Nacional de Seguridad y Salud en el Trabajo, Spain","date_or_year":"Current guidance accessed 2026-08-04","source_type":"OFFICIAL_GUIDANCE","language":"Spanish","claims_supported":["Spanish official guidance identifies excessive workload, high or inflexible pace, strict deadlines, interruptions, frequent errors, inadequate time, multitasking, and low control as psychosocial risks.","It attributes potential harm to organizational and task-design conditions and calls for identification, evaluation, intervention, follow-up, and control.","It supports worker and representative participation and interventions directed at the organizational origin of risk."]},{"source_id":"SRC8","title":"Overview of Workforce Management","url":"https://learn.microsoft.com/en-us/dynamics365/customer-service/use/workforce-management-overview","publisher":"Microsoft","date_or_year":"Updated 2026-07-14","source_type":"FIRST_PARTY_PRODUCT","language":"English","claims_supported":["Commercial workforce-management practice already combines demand forecasting, capacity planning, scheduling, adherence monitoring, and service-level targets.","Supervisors are an identifiable operational adopter class for workload-capacity decision tools.","The product exemplifies the proposal's forecasting-and-coordinate-response rival, but does not claim eigenmode identification or signed transition-operator intervention."]}],"problem_evidence":{"status":"PARTLY_SUPPORTED","finding":"The general problem is externally supported: empirical service-operations research and official occupational-safety guidance show that workload-capacity imbalance, delayed capacity adjustment, overtime, corner cutting, work design, and local management responses can interact with service deterioration, errors, sickness absence, and worker harm. What remains unobserved is the proposal's narrower claim that a qualifying unstable eigenmode exists in a particular unit and is hidden by separate dashboards.","source_ids":["SRC1","SRC5","SRC7"],"uncertainty":"The retained evidence establishes coupled feedback and harm mechanisms, not the specified six-variable eigenvector, gain above 1.02, spectral gap, or prevalence across organizations. Seasonality, bottlenecks, demand shocks, and measurement response remain viable alternatives."},"adopter_evidence":{"status":"PARTLY_SUPPORTED","finding":"Employers, operations supervisors, workforce planners, occupational-health or people-governance leaders, and worker representatives are identifiable adopter or authorization roles. Microsoft documents supervisors using forecasting, capacity, scheduling, and monitoring tools, while HSE and ISO place psychosocial-risk responsibility on organizations with worker participation. No named organization or duly constituted panel was found that has committed to this exact trial.","source_ids":["SRC5","SRC6","SRC8"],"uncertainty":"Role-level identifiability is strong, but a specific willing pilot unit, data owner, labor representative, and legally competent authorizer have not been identified."},"implementation_evidence":{"status":"PARTLY_SUPPORTED","finding":"The principal technical components are feasible separately: ridge VAR estimation, cross-validation under dependence, eigenmode extraction from fitted transition operators, data-driven estimation of control effects, workforce forecasting, capacity planning, and schedule changes all exist. Close system-dynamics work also uses eigenvalues, eigenvectors, and parameter effects for policy design. The exact organizational protocol and its threshold stack have not been validated.","source_ids":["SRC2","SRC3","SRC4","SRC8"],"uncertainty":"Eighty-four fitting cycles for a six-variable VAR may yield fragile eigenvectors, gaps, and gains despite ridge shrinkage. Ridge can itself change estimated stability, and the source evidence does not validate the proposed 1.02, 0.80, 80%, 0.10, or reconstruction thresholds. 'Held-out eigenvalue estimates' must be operationally clarified: the operator should be estimated on training data while held-out data test reconstruction and prediction, because re-estimating a six-variable operator from only 20 cycles would be especially unstable. Time-series-aware imputation, bootstrap design, carryover in crossover weeks, and interference with adjacent teams also require prespecification."},"prior_art":{"disposition":"ADJACENT_PRIOR_ART","closest_analogues":[{"name":"Eigenvalue/eigenvector-based policy analysis of system-dynamics models","source_ids":["SRC2"],"same_problem":true,"same_causal_lever":true,"overlap":"Decomposes organizational or operational dynamics into eigenvalue behavior modes, uses eigenvectors and modal weights, and evaluates structural parameter changes to amplify or suppress modes; demonstrated on an inventory-workforce system.","remaining_difference":"It begins with a specified simulation model rather than a ridge-VAR learned from weekly operating aggregates and does not supply the proposed held-out qualification, randomized signed coefficient-change trial, forecasting rival, or worker/subgroup/spillover guardrails."},{"name":"Dynamic Mode Decomposition with Control","source_ids":["SRC3"],"same_problem":false,"same_causal_lever":true,"overlap":"Learns a linear transition operator and input effects from state snapshots, extracts unstable modes, and supports controller design.","remaining_difference":"It is generic engineering methodology, not evidence of use on interdependent teams, psychosocial risk, scheduling governance, or a randomized management-rule comparison."},{"name":"Service quality erosion from demand-capacity feedback","source_ids":["SRC1"],"same_problem":true,"same_causal_lever":false,"overlap":"Shows empirically calibrated reinforcing dynamics among demand, capacity, overtime, effort allocation, service standards, and delayed managerial responses.","remaining_difference":"It uses a theory-driven system-dynamics model and simulated policies rather than qualifying a data-derived invariant mode and testing a prespecified signed change in the estimated transition operator."},{"name":"Commercial workforce forecasting, capacity planning, and scheduling","source_ids":["SRC8"],"same_problem":true,"same_causal_lever":false,"overlap":"Uses historical demand, staffing capacity, service targets, schedules, and monitoring to manage workload-capacity mismatch.","remaining_difference":"It responds to forecasts and coordinate-level staffing gaps without identifying reproducible eigenmodes or testing whether a rule changes cross-variable transition coefficients."}],"contrastive_claim_remaining":"In a real operating unit that passes the shadow-phase adequacy tests, a preregistered ridge-VAR can identify a reproducible, consequential amplifying cross-functional mode, and a reversible rule selected through a signed operator-change map can reduce that mode's out-of-sample gain below 1.00 while improving service and worker outcomes more safely than ordinary management and forecast-triggered coordinate responses. The novelty is the empirical organizational test package and contrast, not eigenanalysis, modal control, VAR regularization, workforce planning, or psychosocial-risk management individually.","contrastive_claim_falsifier":"The incremental claim fails if no qualifying mode survives untouched testing and sensitivity analyses; a single driver, seasonal model, known shock, bottleneck model, or forecasting rival matches failures; randomization produces no prespecified signed transition-coefficient change or only an intercept shift; gain remains at or above 1.00; carryover or regime change prevents identification; or any apparent benefit is offset by service, residual, subgroup, workload, privacy, or adjacent-team harm.","confidence":"HIGH","search_limitations":"This was a bounded public-web search using exactly eight retained direct sources. It covered direct problem evidence, mechanism-level prior art, historical system-dynamics and industrial-dynamics terminology, standards and products, Spanish/German/French regional terminology, and component combinations. It did not exhaust subscription databases, unpublished organizational deployments, patents, procurement records, or every language and therefore cannot establish world novelty, patentability, freedom to operate, routine prevalence, or market size."},"researchability_gates":{"externally_supported_problem":{"status":"PASS","rationale":"Empirical research and official guidance support workload-capacity feedback, delayed adjustment, local coping responses, service deterioration, sickness absence, and worker-health risk, even though the specific latent eigenmode remains a hypothesis.","source_ids":["SRC1","SRC5","SRC7"]},"identifiable_adopter_or_authorizer":{"status":"INDETERMINATE","rationale":"Relevant adopter and authorizer roles are clear—operations supervisors, employers, people or occupational-health governance, and worker representatives—but no named unit or legally competent panel has agreed to provide data or authorize the exact experiment.","source_ids":["SRC5","SRC6","SRC8"]},"distinct_testable_incremental_claim":{"status":"PASS","rationale":"Despite close modal-policy and DMD-control prior art, the proposal retains a falsifiable incremental claim about out-of-sample mode qualification and randomized signed transition-dynamics change versus ordinary management and a forecast-based rival in an organizational setting.","source_ids":["SRC1","SRC2","SRC3","SRC4","SRC8"]},"bounded_next_evidence_step":{"status":"PASS","rationale":"Protocol freezing followed by non-interventional shadow estimation, data-quality checks, time-series-aware simulation or power analysis, and independent review is bounded and can terminate before workers are exposed. A subsequent maximum-four-week reversible rule condition is also bounded if adequacy and authorization are obtained.","source_ids":["SRC3","SRC4","SRC5","SRC6"]},"no_unresolved_safety_or_authority_stop":{"status":"PASS","rationale":"No inherent safety stop prevents the shadow phase. The proposed exclusions, worker representation, withdrawal right, outcome guardrails, adjacent-team monitoring, immediate rollback, and sunset are directionally consistent with official psychosocial-risk guidance. Site-specific labor, privacy, and operational approvals remain prerequisites rather than permissions inferred from the research.","source_ids":["SRC5","SRC6","SRC7"]},"adequate_search_evidence":{"status":"PASS","rationale":"All six required lanes were searched adversarially, including older terminology, official standards, first-party products, non-English regional terms, and component combinations. The eight retained sources span six independent publishing organizations and include four primary studies, two official guidance sources, one official standard, and one first-party product source.","source_ids":["SRC1","SRC2","SRC3","SRC4","SRC5","SRC6","SRC7","SRC8"]}},"strict_success":false,"screen_survival":true,"remaining_research_value":"MODERATE","recommended_next_step":"Identify one willing unit and its actual operations, data, labor, privacy, and occupational-safety authorizers. Before accessing outcome data, freeze variable definitions and competing models; clarify training-only operator estimation versus held-out validation; run time-series simulations for eigenvalue, eigenvector, spectral-gap, missing-data, carryover, and intervention-effect power under 84/20 and larger histories; and conduct the shadow analysis with placebo shocks, seasonal and bottleneck alternatives, the forecasting rival, complete-case sensitivity, and adjacent-team outcomes. Randomize no rule unless the independent adequacy review and worker-authorized panel approve it.","world_novelty_boundary":"The bounded search supports only a contrastive conclusion: close prior art exists for workload-capacity feedback, eigenvalue/eigenvector policy analysis, data-driven modal control, ridge VARs, workforce planning, and psychosocial-risk governance, while no retained source disclosed the complete proposed organizational experiment. This is not evidence of world novelty and does not establish patentability, freedom to operate, market size, adoption, or realized impact."}