{"publication_id":"99b9c1e0-63d8-4839-9fdd-063f830f7477","content_hash":"sha256:0a8715ef48fc371f96c7737bec854d8dcd5781721fd936cd2ac095970b7125ed","nodes":[{"id":"99b9c1e0-63d8-4839-9fdd-063f830f7477","type":"publication","title":"supply chain resilience: supply chain performance"},{"id":"claim_1","type":"claim","text":"supply chain resilience: direction-bearing receipts concern supply chain performance, while null/mixed receipts concern firm performance; counts: 3 direction-bearing receipt(s), 1 null/mixed receipt(s), and 1 context/model receipt(s). The context/model receipts do not test performance effects and stay outside effect accounting. This is an outcome-family boundary, not a pooled causal, policy-prescriptive, or market-generalized claim."},{"id":"claim_2","type":"claim","text":"Does supply chain resilience show a consistent direction-bearing association in the selected source bundle, and where do null/mixed or context-only receipts bound the claim?"},{"id":"claim_3","type":"claim","text":"Outcome-family boundary: direction-bearing receipts concern supply chain performance, while null/mixed receipts concern firm performance; context/model receipts do not test performance effects."},{"id":"claim_4","type":"claim","text":"Within-source caveat: significant dimensions drive the directional role, but the same receipt includes a null/mixed subdimension (Analyzing data via SmartPLS 3.0, the results showed that supply chain collaboration and supply chain agility as key dimensions of supply...)."},{"id":"claim_5","type":"claim","text":"Bounded signal: supply chain resilience has direction-bearing receipts for supply chain performance; firm performance is null/mixed in separate receipt(s), not softened scope caveats across business-outcome, chain-level, and firm-level. That supports only a narrow scoping contrast, not uniform support for the topic."},{"id":"claim_6","type":"claim","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."},{"id":"claim_7","type":"claim","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."},{"id":"claim_8","type":"claim","text":"Design heterogeneity: selected receipts span AHP-VIKOR and PLS-SEM; treat this as a boundary map, not pooled evidence."},{"id":"claim_9","type":"claim","text":"Matrix guard: effect-bearing rows below are metric-specific source facts, not a pooled comparison; context-only rows are excluded from effect support."},{"id":"claim_10","type":"claim","text":"| Outcome family | Receipt | Evidence role | Population/setting | Metric | Extracted finding |"},{"id":"claim_11","type":"claim","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... |"},{"id":"claim_12","type":"claim","text":"| Outcome family | Receipt | Evidence role | Population/setting | Metric | Extracted finding |"},{"id":"claim_13","type":"claim","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."},{"id":"claim_14","type":"claim","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."},{"id":"claim_15","type":"claim","text":"Evidence role summary: direction-bearing receipts: 3; null/mixed metric-scope caveat receipts: 1; context/antecedent/model receipts: 1 excluded from effect support."},{"id":"claim_16","type":"claim","text":"Direction labels for audit: descriptive/modeling: 1 receipt(s) | null/mixed metric-scope caveat: 1 receipt(s) | directional association: 3 receipt(s)."},{"id":"claim_17","type":"claim","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)."},{"id":"claim_18","type":"claim","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."},{"id":"claim_19","type":"claim","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."},{"id":"claim_20","type":"claim","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."},{"id":"claim_21","type":"claim","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."},{"id":"claim_22","type":"claim","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."},{"id":"source_1","type":"source","study":"Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach","year":2023,"doi":"10.3390/systems11080396","url":"https://doi.org/10.3390/systems11080396","population":"automotive firms","intervention_or_exposure":"Pythagorean fuzzy AHP-VIKOR modelling","comparator":"not extracted","endpoint":"business outcome","effect":"not extracted","risk_of_bias":"not appraised in public sidecar","directness":"primary","excerpt":"The results of the hybrid approach revealed that flexibility is the most important criterion among resilience criteria that constitute the most significant dimensions for RSS"},{"id":"source_2","type":"source","study":"The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance","year":2023,"doi":"10.3390/admsci13100225","url":"https://doi.org/10.3390/admsci13100225","population":"firms","intervention_or_exposure":"supply chain visibility and capability antecedents","comparator":"not extracted","endpoint":"firm performance","effect":"not extracted","risk_of_bias":"not appraised in public sidecar","directness":"primary","excerpt":"The research findings reveal that visibility significantly influences supply chain resilience; while the hypotheses of a positive impact of supply chain visibility and supply chain resilience on firm performance have been rejected"},{"id":"source_3","type":"source","study":"Factors Affecting the Supply Chain Resilience and Supply Chain Performance","year":2022,"doi":"10.57044/sajol.2022.1.2.2212","url":"https://doi.org/10.57044/sajol.2022.1.2.2212","population":"firms","intervention_or_exposure":"AI, adaptive capability, and collaboration antecedents","comparator":"not extracted","endpoint":"supply chain performance","effect":"not extracted","risk_of_bias":"not appraised in public sidecar","directness":"primary","excerpt":"It was concluded that supply chain artificial intelligence, adaptive capability, and supply chain collaboration have a positive and significant influence on supply chain resilience and supply chain performance"},{"id":"source_4","type":"source","study":"The effect of supply chain resilience on supply chain performance of chemical industrial companies","year":2022,"doi":"10.5267/j.uscm.2022.8.001","url":"https://doi.org/10.5267/j.uscm.2022.8.001","population":"chemical industrial companies","intervention_or_exposure":"flexibility, collaboration, and agility antecedents","comparator":"not extracted","endpoint":"supply chain performance","effect":"not extracted","risk_of_bias":"not appraised in public sidecar","directness":"primary","excerpt":"Analyzing data via SmartPLS 3.0, the results showed that supply chain collaboration and supply chain agility as key dimensions of supply chain resilience had significant effects on supply chain performance, while supply chain flexibility exerted insignificant effect on supply chain performance"},{"id":"source_5","type":"source","study":"Supply chain resilience and performance of manufacturing firms: role of supply chain disruption","year":2023,"doi":"10.1108/jmtm-08-2022-0307","url":"https://doi.org/10.1108/jmtm-08-2022-0307","population":"manufacturing firms","intervention_or_exposure":"supply chain disruption context","comparator":"not extracted","endpoint":"supply chain performance","effect":"not extracted","risk_of_bias":"not appraised in public sidecar","directness":"primary","excerpt":"Findings First, the study revealed that SCR has a significant positive effect on SCP"}],"edges":[{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_1","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_2","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_3","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_4","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_5","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_6","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_7","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_8","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_9","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_10","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_11","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_12","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_13","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_14","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_15","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_16","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_17","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_18","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_19","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_20","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_21","type":"contains_claim"},{"from":"99b9c1e0-63d8-4839-9fdd-063f830f7477","to":"claim_22","type":"contains_claim"}],"screening":{"identified":5,"screened":5,"excluded":0,"included":5,"included_or_retained":5,"flow":["identified","screened","excluded_with_reasons","included"],"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.","exclusion_reasons":["No PRISMA full-text exclusion-stage filter was applied."]}}