AN EXPORT SUPPLY CHAIN MATURITY INDEX FOR CORRIDOR-LEVEL DIAGNOSIS: EVIDENCE FROM A TEXTILE EXPORTER IN A LANDLOCKED ECONOMY

Exporters in landlocked economies serve markets that differ sharply in reliability, speed, and cost, yet performance is normally reported as a firm-level average that conceals this dispersion. Composite indices of supply-chain efficiency developed to date use either the country or the enterprise as their unit of measurement, and firm-level digital maturity scales assess technological capability rather than delivered outcomes; neither supports decisions about which export direction should receive scarce managerial resources. This article develops the Export Supply Chain Maturity Index (ESCMI), a weighted composite whose unit of observation is the individual export corridor. Four non-redundant dimensions—on-time-in-full delivery, perfect order rate, order cycle time, and cost-to-serve—are normalised, weighted 0.35/0.35/0.20/0.10, and aggregated into a score from 0 to 100, which is then mapped onto four maturity phases. Applied to a complete census of the 2025 export operations of an Uzbek textile manufacturer (N = 50 consignments; seven corridors), the index separates the portfolio into three clusters: Turkmenistan (89.1), Tajikistan (86.0), and Kazakhstan (85.7) in the optimised phase; Russia (82.6) managed; Belarus (56.6) developing; and Turkey (26.3) and Iran (24.2) reactive. The Russian corridor demonstrates the diagnostic value of aggregation: it records perfect reliability on both service indicators, yet remains below the optimised threshold because cycle time and cost are structurally constrained. Sensitivity analysis across four weight specifications leaves the three-cluster structure invariant, while the boundary at 85 points proves weight-sensitive for three corridors scoring within four points of it. Validation is provided by the correlation structure and by an external criterion: the two corridors placed in the reactive phase account for 12 per cent of consignments, but generated three of the five late deliveries recorded during the year.

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Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-21
DOI
https://doi.org/10.5281/zenodo.22877208
Primary Topic
Economic and Technological Innovation
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article
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article

AN EXPORT SUPPLY CHAIN MATURITY INDEX FOR CORRIDOR-LEVEL DIAGNOSIS: EVIDENCE FROM A TEXTILE EXPORTER IN A LANDLOCKED ECONOMY

Mukhammadiyaminova Shakhzoda Sherzodovna
Zenodo (CERN European Organization for Nuclear Research)
Economic and Technological Innovation
article

AN EXPORT SUPPLY CHAIN MATURITY INDEX FOR CORRIDOR-LEVEL DIAGNOSIS: EVIDENCE FROM A TEXTILE EXPORTER IN A LANDLOCKED ECONOMY

Mukhammadiyaminova Shakhzoda Sherzodovna
article en

Abstract

Exporters in landlocked economies serve markets that differ sharply in reliability, speed, and cost, yet performance is normally reported as a firm-level average that conceals this dispersion. Composite indices of supply-chain efficiency developed to date use either the country or the enterprise as their unit of measurement, and firm-level digital maturity scales assess technological capability rather than delivered outcomes; neither supports decisions about which export direction should receive scarce managerial resources. This article develops the Export Supply Chain Maturity Index (ESCMI), a weighted composite whose unit of observation is the individual export corridor. Four non-redundant dimensions—on-time-in-full delivery, perfect order rate, order cycle time, and cost-to-serve—are normalised, weighted 0.35/0.35/0.20/0.10, and aggregated into a score from 0 to 100, which is then mapped onto four maturity phases. Applied to a complete census of the 2025 export operations of an Uzbek textile manufacturer (N = 50 consignments; seven corridors), the index separates the portfolio into three clusters: Turkmenistan (89.1), Tajikistan (86.0), and Kazakhstan (85.7) in the optimised phase; Russia (82.6) managed; Belarus (56.6) developing; and Turkey (26.3) and Iran (24.2) reactive. The Russian corridor demonstrates the diagnostic value of aggregation: it records perfect reliability on both service indicators, yet remains below the optimised threshold because cycle time and cost are structurally constrained. Sensitivity analysis across four weight specifications leaves the three-cluster structure invariant, while the boundary at 85 points proves weight-sensitive for three corridors scoring within four points of it. Validation is provided by the correlation structure and by an external criterion: the two corridors placed in the reactive phase account for 12 per cent of consignments, but generated three of the five late deliveries recorded during the year.

Zenodo (CERN European Organization for Nuclear Research)
Tashkent State University of Economics (UZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Economic and Technological Innovation
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AN EXPORT SUPPLY CHAIN MATURITY INDEX FOR CORRIDOR-LEVEL DIAGNOSIS: EVIDENCE FROM A TEXTILE EXPORTER IN A LANDLOCKED ECONOMY — Mukhammadiyaminova Shakhzoda Sherzodovna · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS