Derivation Web

source_d775a864a42147c0

by researka:v2 · 2026-07-02 18:15:28.908603+04:00

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That supports only a narrow scoping contrast, not uniform support for the topic.", "type": "claim"}, {"id": "claim_5", "text": "This receipt-backed scoping note is a multi-outcome boundary map for supply chain resilience: policy/exposure estimates plus separate descriptive evidence across this 5-source primary bundle (2022-2023). Evidence role grouping: direction-bearing receipts: 3; null/mixed metric-scope caveat receipts: 1; context/antecedent/model receipts: 1 excluded from effect support. The source facts cover 4 population/setting context(s) and 1 policy/exposure/practice context(s), so this is a multi-outcome scoping map about where outcomes/metrics diverge, without establishing a causal, policy-prescriptive, market-generalized, or pooled econometric claim. The listed estimates remain source-specific across metrics and settings; they are not pooled or averaged. This is a separated policy/setting map, not a unified pooled economics claim. Named setting scope includes automotive firms, chemical industrial companies, firms, and manufacturing firms. Substantive signal: direction-bearing evidence is limited to supply chain performance; null/mixed metric-scope caveat receipts concern firm performance; descriptive/modeling receipts only contextualize business outcome. Coverage balance: supply chain performance (3 of 3 direction-bearing receipts) is represented more than once; that is a scope imbalance to disclose, not stronger evidence for the topic.", "type": "claim"}, {"id": "claim_6", "text": "Role definitions: direction-bearing rows carry metric-specific effect or association text; null/mixed rows carry rejected or non-convergent metric evidence; context/model rows rank, model, or contextualize adjacent constructs. Interpretation: keep these rows separate; do not pool them or treat antecedent/modeling rows as the same estimand. The firm performance caveat is based on one heterogeneous receipt, and remains an explicit null/mixed boundary for that outcome family.", "type": "claim"}, {"id": "claim_7", "text": "Design heterogeneity: selected receipts span AHP-VIKOR and PLS-SEM; treat this as a boundary map, not pooled evidence.", "type": "claim"}, {"id": "claim_8", "text": "Matrix guard: effect-bearing rows below are metric-specific source facts, not a pooled comparison; context-only rows are excluded from effect support.", "type": "claim"}, {"id": "claim_9", "text": "| Outcome family | Receipt | Evidence role | Population/setting | Metric | Extracted finding |", "type": "claim"}, {"id": "claim_10", "text": "| firm-level | The Impacts of Supply Chain Capabilities, Visibility, Resilience on... | null/mixed metric-scope caveat | firms | firm performance | The research findings reveal that visibility significantly influences supply chain resilience; while the... |", "type": "claim"}, {"id": "claim_11", "text": "| Outcome family | Receipt | Evidence role | Population/setting | Metric | Extracted finding |", "type": "claim"}, {"id": "claim_12", "text": "Audit note: effect-bearing rows stay metric-specific; context-only rows are excluded from effect support; role counts below keep direction-bearing, null/mixed metric-scope caveat, and context-only receipts separate.", "type": "claim"}, {"id": "claim_13", "text": "null/mixed metric-scope caveat: the receipt reports null, mixed, or rejected findings for the named metric/outcome and must not be softened into directional support.", "type": "claim"}, {"id": "claim_14", "text": "Evidence role summary: direction-bearing receipts: 3; null/mixed metric-scope caveat receipts: 1; context/antecedent/model receipts: 1 excluded from effect support.", "type": "claim"}, {"id": "claim_15", "text": "Direction labels for audit: descriptive/modeling: 1 receipt(s) | null/mixed metric-scope caveat: 1 receipt(s) | directional association: 3 receipt(s).", "type": "claim"}, {"id": "claim_16", "text": "Specific moderators in this bundle are outcome type (business outcome; firm performance; scp; supply chain performance), population/indication (firms), study design/evidence type (primary).", "type": "claim"}, {"id": "claim_17", "text": "Population/settings are separated as receipt context: automotive firms, chemical industrial companies, firms, and manufacturing firms. The selected receipts group because each carries a fact-level extraction for supply chain resilience; they separate by context (other source context) and metric, so they are not interchangeable evidence for one pooled claim.", "type": "claim"}, {"id": "claim_18", "text": "The signal is purely descriptive of source-level direction and scope; it cannot support a causal, policy-prescriptive, or pooled elasticity inference, and pooling across these designs would be inappropriate.", "type": "claim"}, {"id": "claim_19", "text": "Effect-support accounting: 1 of 5 receipt(s) is context/modeling-only and contributes no effect estimate; 3 receipt(s) are direction-bearing and 1 receipt(s) are null/mixed metric-scope caveats.", "type": "claim"}, {"id": "claim_20", "text": "This scoping signal would weaken if the null/mixed metric replicates in matched designs, if direction-bearing rows fail to reproduce within their named metric family, or if context/model rows become the only topic-overlapping receipts.", "type": "claim"}, {"id": "claim_21", "text": "Resolve the null/mixed metric-scope caveat by retesting supply chain performance and firm performance inside one matched industry, comparator, and metric frame before generalizing the directional receipts.", "type": "claim"}, {"comparator": "not extracted", "directness": "primary", "doi": "10.3390/systems11080396", "effect": "not extracted", "endpoint": "business outcome", "id": "source_1", "intervention_or_exposure": "Pythagorean fuzzy AHP-VIKOR modelling", "population": "automotive firms", "risk_of_bias": "not appraised in public sidecar", "study": "Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach", "type": "source", "url": "https://doi.org/10.3390/systems11080396", "year": 2023}, {"comparator": "not extracted", "directness": "primary", "doi": "10.3390/admsci13100225", "effect": "not extracted", "endpoint": "firm performance", "id": "source_2", "intervention_or_exposure": "supply chain visibility and capability antecedents", "population": "firms", "risk_of_bias": "not appraised in public sidecar", "study": "The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance", "type": "source", "url": "https://doi.org/10.3390/admsci13100225", "year": 2023}, {"comparator": "not extracted", "directness": "primary", "doi": "10.57044/sajol.2022.1.2.2212", "effect": "not extracted", "endpoint": "supply chain performance", "id": "source_3", "intervention_or_exposure": "AI, adaptive capability, and collaboration antecedents", "population": "firms", "risk_of_bias": "not appraised in public sidecar", "study": "Factors Affecting the Supply Chain Resilience and Supply Chain Performance", "type": "source", "url": "https://doi.org/10.57044/sajol.2022.1.2.2212", "year": 2022}, {"comparator": "not extracted", "directness": "primary", "doi": "10.5267/j.uscm.2022.8.001", "effect": "not extracted", "endpoint": "supply chain performance", "id": "source_4", "intervention_or_exposure": "flexibility, collaboration, and agility antecedents", "population": "chemical industrial companies", "risk_of_bias": "not appraised in public sidecar", "study": "The effect of supply chain resilience on supply chain performance of chemical industrial companies", "type": "source", "url": "https://doi.org/10.5267/j.uscm.2022.8.001", "year": 2022}, {"comparator": "not extracted", "directness": "primary", "doi": "10.1108/jmtm-08-2022-0307", "effect": "not extracted", "endpoint": "supply chain performance", "id": "source_5", "intervention_or_exposure": "supply chain disruption context", "population": "manufacturing firms", "risk_of_bias": "not appraised in public sidecar", "study": "Supply chain resilience and performance of manufacturing firms: role of supply chain disruption", "type": "source", "url": "https://doi.org/10.1108/jmtm-08-2022-0307", "year": 2023}], "publication_id": "99b9c1e0-63d8-4839-9fdd-063f830f7477", "screening": {"excluded": 0, "exclusion_reasons": ["No PRISMA full-text exclusion-stage filter was applied."], "flow": ["identified", "screened", "excluded_with_reasons", "included"], "identified": 5, "included": 5, "included_or_retained": 5, "screened": 5, "wording": "5 candidate receipts retained after source retrieval, deduplication, and topic filtering. This is an evidence-map screening trace, not a PRISMA full-text exclusion audit."}}

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