source · application/json
source_260d23bd6f24488a
sha256 c65a4ee0c54929ce6106a762bc842a2f29dc6609540b0633421082a35c1ab0aa
by researka:v2 · 2026-07-02 18:15:28.874467+04:00
{"publication_id": "99b9c1e0-63d8-4839-9fdd-063f830f7477", "traces": [{"candidate_sources": [{"directness": "primary", "doi": "10.3390/systems11080396", "effect": "not extracted", "endpoint": "business outcome", "population": "automotive firms", "source_id": "source_1", "study": "Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/systems11080396"}, {"directness": "primary", "doi": "10.3390/admsci13100225", "effect": "not extracted", "endpoint": "firm performance", "population": "firms", "source_id": "source_2", "study": "The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/admsci13100225"}, {"directness": "primary", "doi": "10.57044/sajol.2022.1.2.2212", "effect": "not extracted", "endpoint": "supply chain performance", "population": "firms", "source_id": "source_3", "study": "Factors Affecting the Supply Chain Resilience and Supply Chain Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.57044/sajol.2022.1.2.2212"}, {"directness": "primary", "doi": "10.5267/j.uscm.2022.8.001", "effect": "not extracted", "endpoint": "supply chain performance", "population": "chemical industrial companies", "source_id": "source_4", "study": "The effect of supply chain resilience on supply chain performance of chemical industrial companies", "support_kind": "candidate_source_row", "url": "https://doi.org/10.5267/j.uscm.2022.8.001"}, {"directness": "primary", "doi": "10.1108/jmtm-08-2022-0307", "effect": "not extracted", "endpoint": "supply chain performance", "population": "manufacturing firms", "source_id": "source_5", "study": "Supply chain resilience and performance of manufacturing firms: role of supply chain disruption", "support_kind": "candidate_source_row", "url": "https://doi.org/10.1108/jmtm-08-2022-0307"}], "claim": "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?", "claim_id": "claim_1"}, {"candidate_sources": [{"directness": "primary", "doi": "10.3390/systems11080396", "effect": "not extracted", "endpoint": "business outcome", "population": "automotive firms", "source_id": "source_1", "study": "Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/systems11080396"}, {"directness": "primary", "doi": "10.3390/admsci13100225", "effect": "not extracted", "endpoint": "firm performance", "population": "firms", "source_id": "source_2", "study": "The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/admsci13100225"}, {"directness": "primary", "doi": "10.57044/sajol.2022.1.2.2212", "effect": "not extracted", "endpoint": "supply chain performance", "population": "firms", "source_id": "source_3", "study": "Factors Affecting the Supply Chain Resilience and Supply Chain Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.57044/sajol.2022.1.2.2212"}, {"directness": "primary", "doi": "10.5267/j.uscm.2022.8.001", "effect": "not extracted", "endpoint": "supply chain performance", "population": "chemical industrial companies", "source_id": "source_4", "study": "The effect of supply chain resilience on supply chain performance of chemical industrial companies", "support_kind": "candidate_source_row", "url": "https://doi.org/10.5267/j.uscm.2022.8.001"}, {"directness": "primary", "doi": "10.1108/jmtm-08-2022-0307", "effect": "not extracted", "endpoint": "supply chain performance", "population": "manufacturing firms", "source_id": "source_5", "study": "Supply chain resilience and performance of manufacturing firms: role of supply chain disruption", "support_kind": "candidate_source_row", "url": "https://doi.org/10.1108/jmtm-08-2022-0307"}], "claim": "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.", "claim_id": "claim_2"}, {"candidate_sources": [{"directness": "primary", "doi": "10.3390/systems11080396", "effect": "not extracted", "endpoint": "business outcome", "population": "automotive firms", "source_id": "source_1", "study": "Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/systems11080396"}, {"directness": "primary", "doi": "10.3390/admsci13100225", "effect": "not extracted", "endpoint": "firm performance", "population": "firms", "source_id": "source_2", "study": "The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/admsci13100225"}, {"directness": "primary", "doi": "10.57044/sajol.2022.1.2.2212", "effect": "not extracted", "endpoint": "supply chain performance", "population": "firms", "source_id": "source_3", "study": "Factors Affecting the Supply Chain Resilience and Supply Chain Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.57044/sajol.2022.1.2.2212"}, {"directness": "primary", "doi": "10.5267/j.uscm.2022.8.001", "effect": "not extracted", "endpoint": "supply chain performance", "population": "chemical industrial companies", "source_id": "source_4", "study": "The effect of supply chain resilience on supply chain performance of chemical industrial companies", "support_kind": "candidate_source_row", "url": "https://doi.org/10.5267/j.uscm.2022.8.001"}, {"directness": "primary", "doi": "10.1108/jmtm-08-2022-0307", "effect": "not extracted", "endpoint": "supply chain performance", "population": "manufacturing firms", "source_id": "source_5", "study": "Supply chain resilience and performance of manufacturing firms: role of supply chain disruption", "support_kind": "candidate_source_row", "url": "https://doi.org/10.1108/jmtm-08-2022-0307"}], "claim": "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...).", "claim_id": "claim_3"}, {"candidate_sources": [{"directness": "primary", "doi": "10.3390/systems11080396", "effect": "not extracted", "endpoint": "business outcome", "population": "automotive firms", "source_id": "source_1", "study": "Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/systems11080396"}, {"directness": "primary", "doi": "10.3390/admsci13100225", "effect": "not extracted", "endpoint": "firm performance", "population": "firms", "source_id": "source_2", "study": "The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/admsci13100225"}, {"directness": "primary", "doi": "10.57044/sajol.2022.1.2.2212", "effect": "not extracted", "endpoint": "supply chain performance", "population": "firms", "source_id": "source_3", "study": "Factors Affecting the Supply Chain Resilience and Supply Chain Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.57044/sajol.2022.1.2.2212"}, {"directness": "primary", "doi": "10.5267/j.uscm.2022.8.001", "effect": "not extracted", "endpoint": "supply chain performance", "population": "chemical industrial companies", "source_id": "source_4", "study": "The effect of supply chain resilience on supply chain performance of chemical industrial companies", "support_kind": "candidate_source_row", "url": "https://doi.org/10.5267/j.uscm.2022.8.001"}, {"directness": "primary", "doi": "10.1108/jmtm-08-2022-0307", "effect": "not extracted", "endpoint": "supply chain performance", "population": "manufacturing firms", "source_id": "source_5", "study": "Supply chain resilience and performance of manufacturing firms: role of supply chain disruption", "support_kind": "candidate_source_row", "url": "https://doi.org/10.1108/jmtm-08-2022-0307"}], "claim": "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.", "claim_id": "claim_4"}, {"candidate_sources": [{"directness": "primary", "doi": "10.3390/systems11080396", "effect": "not extracted", "endpoint": "business outcome", "population": "automotive firms", "source_id": "source_1", "study": "Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/systems11080396"}, {"directness": "primary", "doi": "10.3390/admsci13100225", "effect": "not extracted", "endpoint": "firm performance", "population": "firms", "source_id": "source_2", "study": "The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/admsci13100225"}, {"directness": "primary", "doi": "10.57044/sajol.2022.1.2.2212", "effect": "not extracted", "endpoint": "supply chain performance", "population": "firms", "source_id": "source_3", "study": "Factors Affecting the Supply Chain Resilience and Supply Chain Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.57044/sajol.2022.1.2.2212"}, {"directness": "primary", "doi": "10.5267/j.uscm.2022.8.001", "effect": "not extracted", "endpoint": "supply chain performance", "population": "chemical industrial companies", "source_id": "source_4", "study": "The effect of supply chain resilience on supply chain performance of chemical industrial companies", "support_kind": "candidate_source_row", "url": "https://doi.org/10.5267/j.uscm.2022.8.001"}, {"directness": "primary", "doi": "10.1108/jmtm-08-2022-0307", "effect": "not extracted", "endpoint": "supply chain performance", "population": "manufacturing firms", "source_id": "source_5", "study": "Supply chain resilience and performance of manufacturing firms: role of supply chain disruption", "support_kind": "candidate_source_row", "url": "https://doi.org/10.1108/jmtm-08-2022-0307"}], "claim": "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.", "claim_id": "claim_5"}, {"candidate_sources": [{"directness": "primary", "doi": "10.3390/systems11080396", "effect": "not extracted", "endpoint": "business outcome", "population": "automotive firms", "source_id": "source_1", "study": "Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/systems11080396"}, {"directness": "primary", "doi": "10.3390/admsci13100225", "effect": "not extracted", "endpoint": "firm performance", "population": "firms", "source_id": "source_2", "study": "The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/admsci13100225"}, {"directness": "primary", "doi": "10.57044/sajol.2022.1.2.2212", "effect": "not extracted", "endpoint": "supply chain performance", "population": "firms", "source_id": "source_3", "study": "Factors Affecting the Supply Chain Resilience and Supply Chain Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.57044/sajol.2022.1.2.2212"}, {"directness": "primary", "doi": "10.5267/j.uscm.2022.8.001", "effect": "not extracted", "endpoint": "supply chain performance", "population": "chemical industrial companies", "source_id": "source_4", "study": "The effect of supply chain resilience on supply chain performance of chemical industrial companies", "support_kind": "candidate_source_row", "url": "https://doi.org/10.5267/j.uscm.2022.8.001"}, {"directness": "primary", "doi": "10.1108/jmtm-08-2022-0307", "effect": "not extracted", "endpoint": "supply chain performance", "population": "manufacturing firms", "source_id": "source_5", "study": "Supply chain resilience and performance of manufacturing firms: role of supply chain disruption", "support_kind": "candidate_source_row", "url": "https://doi.org/10.1108/jmtm-08-2022-0307"}], "claim": "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.", "claim_id": "claim_6"}, {"candidate_sources": [{"directness": "primary", "doi": "10.3390/systems11080396", "effect": "not extracted", "endpoint": "business outcome", "population": "automotive firms", "source_id": "source_1", "study": "Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/systems11080396"}, {"directness": "primary", "doi": "10.3390/admsci13100225", "effect": "not extracted", "endpoint": "firm performance", "population": "firms", "source_id": "source_2", "study": "The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.3390/admsci13100225"}, {"directness": "primary", "doi": "10.57044/sajol.2022.1.2.2212", "effect": "not extracted", "endpoint": "supply chain performance", "population": "firms", "source_id": "source_3", "study": "Factors Affecting the Supply Chain Resilience and Supply Chain Performance", "support_kind": "candidate_source_row", "url": "https://doi.org/10.57044/sajol.2022.1.2.2212"}, {"directness": "primary", "doi": "10.5267/j.uscm.2022.8.001", "effect": "not extracted", "endpoint": "supply chain performance", "population": "chemical industrial companies", "source_id": "source_4", "study": "The effect of supply chain resilience on supply chain performance of chemical industrial companies", "support_kind": "candidate_source_row", "url": "https://doi.org/10.5267/j.uscm.2022.8.001"}, {"directness": "primary", "doi": "10.1108/jmtm-08-2022-0307", "effect": "not extracted", "endpoint": "supply chain performance", "population": "manufacturing firms", "source_id": "source_5", "study": "Supply chain resilience and performance of manufacturing firms: role of supply chain disruption", "support_kind": "candidate_source_row", "url": "https://doi.org/10.1108/jmtm-08-2022-0307"}], "claim": "Design heterogeneity: selected receipts span AHP-VIKOR and PLS-SEM; 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