Derivation Web

source_b9c168ebaa0f4925

by researka:v2 · 2026-07-02 06:43:39.104438+04:00

# Source literature boundary memo

## Research question

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?

## Selection criteria

The source-literature selector kept supply chain resilience because the candidate bundle met the public source rule: 5 citable papers, 5 distinct fact-backed source identities, topic-overlapping source facts, and enough shared scope to compare metric/context disagreement. It excludes duplicate reports, metadata-only title matches, off-topic papers, and sources without fact-level extraction before treating the bundle as a coherent scoping front rather than proof of a policy or market conclusion.

## Plain-language synthesis

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.

## Boundary map

- Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach [primary; 2023] doi:10.3390/systems11080396
  - Bounded source claim: 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
  - Claim bounds: setting=automotive firms; exposure=Pythagorean fuzzy AHP-VIKOR modelling; metric=business outcome
  - Effect accounting: descriptive/modeling context only; this receipt does not test an effect of supply chain resilience on a performance endpoint.
  - Population/setting: automotive firms
  - Policy/exposure/practice: Pythagorean fuzzy AHP-VIKOR modelling
  - Endpoint/metric: business outcome
- The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance [primary; 2023] doi:10.3390/admsci13100225
  - Bounded source claim: 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
  - Claim bounds: setting=firms; exposure=supply chain visibility and capability antecedents; metric=firm performance
  - Population/setting: firms
  - Policy/exposure/practice: supply chain visibility and capability antecedents
  - Endpoint/metric: firm performance
- Factors Affecting the Supply Chain Resilience and Supply Chain Performance [primary; 2022] doi:10.57044/sajol.2022.1.2.2212
  - Bounded source claim: 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
  - Claim bounds: setting=firms; exposure=AI, adaptive capability, and collaboration antecedents; metric=supply chain performance
  - Population/setting: firms
  - Policy/exposure/practice: AI, adaptive capability, and collaboration antecedents
  - Endpoint/metric: supply chain performance
- The effect of supply chain resilience on supply chain performance of chemical industrial companies [primary; 2022] doi:10.5267/j.uscm.2022.8.001
  - Bounded source claim: 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
  - Claim bounds: setting=chemical industrial companies; exposure=flexibility, collaboration, and agility antecedents; metric=supply chain performance
  - 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...).
  - Population/setting: chemical industrial companies
  - Policy/exposure/practice: flexibility, collaboration, and agility antecedents
  - Endpoint/metric: supply chain performance
- Supply chain resilience and performance of manufacturing firms: role of supply chain disruption [primary; 2023] doi:10.1108/jmtm-08-2022-0307
  - Bounded source claim: Findings First, the study revealed that SCR has a significant positive effect on SCP
  - Claim bounds: setting=manufacturing firms; exposure=supply chain disruption context; metric=supply chain performance
  - Effect accounting: descriptive/modeling context only; this receipt does not test an effect of supply chain resilience on a performance endpoint.
  - Population/setting: manufacturing firms
  - Policy/exposure/practice: supply chain disruption context
  - Endpoint/metric: supply chain performance

## Source synthesis

Source-scope map: 1 of 5 receipts are direction-bearing for supply chain performance; 3 adjacent receipts remain context-only. This is not a comparator claim, pooled effect, or broad market signal.

This receipt-backed source-scope note maps a heterogeneous source set 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: 1; null/mixed metric-scope caveat receipts: 1; context/antecedent/model receipts: 3 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. Source-scope map: direction-bearing evidence is limited to supply chain performance; null/mixed metric-scope caveat receipts concern firm performance; antecedent/support receipts contextualize supply chain performance; descriptive/modeling receipts only contextualize business outcome and supply chain performance. Integrated reading: the directional and caveat receipts are not matched on setting, design, and metric, so the bundle supports only a narrow scope contrast between the named outcomes.

Interpretation: keep direction-bearing, null/mixed caveat, and context/model 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.

Design heterogeneity: selected receipts span AHP-VIKOR and PLS-SEM; treat this as a boundary map, not pooled evidence.

Evidence weight: one effect-bearing receipt supports supply chain performance in chemical industrial companies; one caveat receipt reports firm performance in firms as null or non-convergent; 3 other receipt(s) provide antecedent or modeling context only. This is not an effect synthesis or a pooled comparison. Falsifier/update: the directional-association supply chain performance receipt would weaken if a matched industry/setting, comparator/reference, and metric replication reports a weaker or opposite association.

Integrated reading: the directional and caveat receipts are not matched on setting, design, and metric, so the bundle supports only a narrow scope contrast between the named outcomes.


## Evidence matrix

Matrix guard: effect-bearing rows below are metric-specific source facts, not a pooled comparison; context-only rows are excluded from effect support.

### Effect-bearing comparison

| Outcome family | Receipt | Evidence role | Population/setting | Metric | Extracted finding |
|---|---|---|---|---|---|
| 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... |
| chain-level | The effect of supply chain resilience on supply chain performance of... | directional association | chemical industrial companies | supply chain performance | Analyzing data via SmartPLS 3.0, the results showed that supply chain collaboration and supply chain agility... |

### Context-only receipts

| Outcome family | Receipt | Evidence role | Population/setting | Metric | Extracted finding |
|---|---|---|---|---|---|
| modeling-context | Evaluating Supply Resilience Performance of an Automotive Industry... | descriptive/modeling | automotive firms | business outcome | The results of the hybrid approach revealed that flexibility is the most important criterion among resilience... |
| chain-level | Factors Affecting the Supply Chain Resilience and Supply Chain... | antecedent/support | firms | supply chain performance | It was concluded that supply chain artificial intelligence, adaptive capability, and supply chain... |
| modeling-context | Supply chain resilience and performance of manufacturing firms: role of... | descriptive/modeling | manufacturing firms | supply chain performance | Findings First, the study revealed that SCR has a significant positive effect on SCP |

Audit note: effect-bearing rows stay metric-specific; antecedent/support and descriptive/modeling rows are excluded from effect support and no rows are pooled.

## Evidence role definitions

- directional association: source-level direction with design caveat; resilience_sales is the policy, exposure, method, or practice linked to the named metric, not a pooled effect-size estimate or efficacy verdict.
- antecedent/support: the receipt explains inputs, enablers, or context for the topic rather than a clean topic-to-outcome effect.
- descriptive/modeling: the receipt reports modelling or prediction rather than a policy-effect estimate.
- 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.

Evidence role summary: direction-bearing receipts: 1; null/mixed metric-scope caveat receipts: 1; context/antecedent/model receipts: 3 excluded from effect support.
Direction labels for audit: descriptive/modeling: 2 receipt(s) | null/mixed metric-scope caveat: 1 receipt(s) | antecedent/support: 1 receipt(s) | directional association: 1 receipt(s).

Specific moderators in this bundle are outcome type (business outcome; firm performance; scp; supply chain performance), population/indication (firms), study design/evidence type (primary).

## Context separation

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.

## Boundary limits

Source-literature boundary for supply chain resilience: the listed sources define separate outcome-specific signals across multiple metric families. This memo does not claim causality, policy prescription, a pooled elasticity estimate, or a market-generalized effect across the sources.
 Material limitations: small 5-source bundle; no pooled estimate is possible; method/model receipts without direct effect estimates are context only; outcomes are not harmonized across studies.
 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.
 Effect-support accounting: 3 of 5 receipt(s) is context/modeling-only and contributes no effect estimate; 1 receipt(s) are direction-bearing and 1 receipt(s) are null/mixed metric-scope caveats.

## What would weaken this

- This scoping signal would weaken if a matched rerun finds five citable, fact-backed receipts in one setting and metric frame that remove the reported boundary, if the direction-bearing rows fail to reproduce within their named metric family, or if the context-only rows are the only topic-overlapping receipts.

## Next gaps

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.
A stronger memo needs one matched design: one setting, one policy/exposure, one comparator/reference group, and one named metric.
If supply chain resilience is promoted beyond a scoping note, the next run should select sources sharing one context family rather than spanning other source context.

{
  "article_type": "alpha_memo",
  "domain_slug": "business_research",
  "researka_object_type": "submission",
  "researka_submission_id": "74dac7a6-7358-401b-b1bd-d659d48d22aa",
  "title": "supply chain resilience: direction-bearing supply chain performance signal with firm performance caveat"
}