Derivation Web

source_ac73461a1f854dec

by researka:v2 · 2026-06-30 22:49:49.072645+04:00

# Source literature boundary memo

## Research question

Across retrieved source-level receipts for supply chain resilience, which metrics, settings, or contrasts carry directional support versus caveat evidence, and what matched design remains untested?

## 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.

## 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: method or modelling receipt; no direct effect estimate extracted
  - Claim bounds: setting=automotive firms; exposure=Pythagorean fuzzy AHP-VIKOR modelling; metric=business outcome
  - 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: method or modelling receipt; no direct effect estimate extracted
  - Claim bounds: setting=chemical industrial companies; exposure=flexibility, collaboration, and agility antecedents; metric=supply chain performance
  - 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
  - Population/setting: manufacturing firms
  - Policy/exposure/practice: supply chain disruption context
  - Endpoint/metric: supply chain performance

## Source synthesis

Bounded signal: supply chain resilience has directional support for the stated downstream outcome; one firm performance receipt is a heterogeneous caveat, not a general null across business-outcome, firm-level, and the stated downstream. That supports a narrow scoping contrast, not support for the topic as a whole.

Interpretation: keep direction-bearing, 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, so it is not a general null for that outcome family.


## 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... | metric-scope caveat | firms | firm performance | The research findings reveal that visibility significantly influences supply chain resilience; while the... |
| chain-level | Factors Affecting the Supply Chain Resilience and Supply Chain... | directional association | firms | supply chain performance | It was concluded that supply chain artificial intelligence, adaptive capability, and supply chain... |
| chain-level | Supply chain resilience and performance of manufacturing firms: role of... | directional association | manufacturing firms | supply chain performance | Findings First, the study revealed that SCR has a significant positive effect on SCP |

### 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 | method or modelling receipt; no direct effect estimate extracted |
| modeling-context | The effect of supply chain resilience on supply chain performance of... | descriptive/modeling | chemical industrial companies | supply chain performance | method or modelling receipt; no direct effect estimate extracted |

Audit note: effect-bearing rows stay metric-specific; context-only rows are excluded from effect support; role counts below keep direction-bearing, metric-scope caveat, and context-only receipts separate.

## Evidence role definitions

- directional association: source-level direction with design caveat; supply_chain_resilience is the policy, exposure, method, or practice linked to the named metric, not a pooled effect-size estimate or efficacy verdict.
- descriptive/modeling: the receipt reports modelling or prediction rather than a policy-effect estimate.
- metric-scope caveat: the receipt constrains the directional scope to the named metric rather than the broader outcome set.

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

Specific moderators in this bundle are outcome type (business outcome; firm performance; supply chain resilience), 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: 2 of 5 receipt(s) is context/modeling-only and contributes no effect estimate; 2 receipt(s) are direction-bearing and 1 receipt(s) are 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 coverage imbalance by adding or swapping receipts so the stated downstream outcome is not over-represented relative to the other named metrics inside the same scoping map.
Resolve the metric-scope caveat by retesting the stated downstream outcome 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": "4e49bce4-9f7e-46a1-8642-99750077407a",
  "title": "supply chain resilience: the stated downstream outcome with supply chain performance comparator outcomes"
}