Derivation Web

source_25f1bce0fdc64d12

by researka:v2 · 2026-06-29 04:43:19.697879+04:00

# Source literature boundary memo

## Research question

Across retrieved source-level receipts for supply_chain_resilience_performance, which metrics, settings, or contrasts differ versus remain null/mixed, and what matched design remains untested?

## Selection criteria

The source-literature fallback selected supply_chain_resilience_performance because the domain snapshot exposed enough source-backed, topic-overlapping papers. The fallback requires at least five verifiable source papers with source-level receipts, distinct title keys, and a non-repeated report series 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
  - Finding: In the first stage, significant criteria and their corresponding sub-criteria were determined through a vast review of the literature and nominal group technique, while the relative weights for RSS were obtained through the Pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) method
  - Population: firms
  - Policy/exposure/practice: chain resilience supply
  - 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
  - Finding: 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
  - Population: firms
  - Policy/exposure/practice: chain resilience supply
  - Endpoint/metric: firm performance
- Factors Affecting the Supply Chain Resilience and Supply Chain Performance [primary; 2022] doi:10.57044/sajol.2022.1.2.2212
  - Finding: 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
  - Population: firms
  - Policy/exposure/practice: chain resilience supply
  - Endpoint/metric: supply chain resilience
- The effect of supply chain resilience on supply chain performance of chemical industrial companies [primary; 2022] doi:10.5267/j.uscm.2022.8.001
  - Finding: The aim of this study is to identify the effect of supply chain resilience as measured by supply chain flexibility, supply chain collaboration, and supply chain agility on supply chain performance
  - Population: firms
  - Policy/exposure/practice: chain resilience supply
  - Endpoint/metric: supply chain resilience
- Supply chain resilience and performance of manufacturing firms: role of supply chain disruption [primary; 2023] doi:10.1108/jmtm-08-2022-0307
  - Finding: Findings First, the study revealed that SCR has a significant positive effect on SCP
  - Population: firms
  - Policy/exposure/practice: chain resilience supply
  - Endpoint/metric: supply chain resilience

## Source synthesis

This receipt-backed scoping note has one bounded signal: supply_chain_resilience_performance shows context-dependent, not uniformly convergent findings across this 5-source primary bundle (2022-2023). Grouped by direction: other/mixed: 5 receipt(s). The source facts cover 1 population context(s) and 1 policy/exposure/practice context(s), so this is a scoping signal about where 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 heterogeneous policy/setting map, not a unified pooled economics claim. Concrete source-level examples: In the first stage, significant criteria and their corresponding sub-criteria were determined through a vast review of the literature and nominal group technique, while...; The research findings reveal that visibility significantly influences supply chain resilience; while the hypotheses of a positive impact of supply chain visibility and...; It was concluded that supply chain artificial intelligence, adaptive capability, and supply chain collaboration have a positive and significant influence on supply chain....

## Directional grouping

- directional estimate: supply_chain_resilience_performance is the policy, exposure, method, or practice being measured; the label is not an efficacy verdict.
- reference/comparator contrast: supply_chain_resilience_performance is the reference side of the extracted contrast; interpret only within that metric.
- economic/context only: the receipt reports cost, market, prevalence, policy, or institutional context rather than a policy-effect estimate.
- descriptive/modeling: the receipt reports modelling or prediction rather than a policy-effect estimate.
- null/mixed or other/mixed: the extracted finding is null, mixed, or not directionally interpretable.

- other/mixed: Evaluating Supply Resilience Performance of an Automotive Industry during Operational Shocks: A Pythagorean Fuzzy AHP-VIKOR-Based Approach — In the first stage, significant criteria and their corresponding sub-criteria were determined through a vast review of the literature and nominal group technique, while the relative weights for RSS were obtained through the Pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) method
- other/mixed: The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance — 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
- other/mixed: Factors Affecting the Supply Chain Resilience and Supply Chain Performance — 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
- other/mixed: The effect of supply chain resilience on supply chain performance of chemical industrial companies — The aim of this study is to identify the effect of supply chain resilience as measured by supply chain flexibility, supply chain collaboration, and supply chain agility on supply chain performance
- other/mixed: Supply chain resilience and performance of manufacturing firms: role of supply chain disruption — Findings First, the study revealed that SCR has a significant positive effect on SCP

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

The selected receipts group because each carries a fact-level extraction for supply_chain_resilience_performance; 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_performance: the listed sources define one bounded, context-dependent signal across separate source contexts. This memo does not claim causality, policy prescription, a pooled elasticity estimate, or a market-generalized effect across the sources.
 The signal is purely descriptive of effect-direction heterogeneity; it cannot support a causal, policy-prescriptive, or pooled elasticity inference, and pooling across these designs would be inappropriate.
 Routing domain `business_research` is publication-lane metadata only; the source scope here is defined by the selected supply_chain_resilience_performance receipts.

## Next gaps

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

{
  "article_type": "alpha_memo",
  "domain_slug": "business_research",
  "researka_object_type": "submission",
  "researka_submission_id": "6d3e46bc-3233-44f6-9732-0cf9941b0088",
  "title": "supply chain resilience performance: one bounded, context-dependent signal across receipts"
}