ORGANIZATIONAL AND ECONOMIC MODEL OF DIGITAL TRANSFORMATION IN THE REGIONAL LIGHT INDUSTRY: MECHANISMS AND FORECAST TO 2030 (EVIDENCE FROM BUKHARA REGION, UZBEKISTAN)

The article proposes an organisational and economic model for managing the digital transformation of light industry enterprises as a driver of regional economic development. Based on an empirical assessment of 25 textile enterprises in the Bukhara region, which revealed a moderate and uneven level of digital maturity (mean Digital Transformation Index, RTI = 0.506), the model transforms digital transformation from a spontaneous process into a managed, phased, and measurable five-stage cycle comprising diagnostics, strategy, infrastructure, implementation, and monitoring. The model is differentiated according to digital maturity groups, with the validity of the grouping confirmed by analysis of variance (ANOVA; F = 79.76; p < 0.001). Three supporting mechanisms are substantiated: a regional digital competence centre, a multi-source financing system, and a digital export platform. A three-scenario forecast to 2030 indicates that, under the target scenario, the regional RTI will increase from 0.45 to 0.80, labour productivity will rise by 60%, and textile exports will grow by 77%, with an investment efficiency ratio of 10.08.

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Publication Details

Journal
ECONOSCITECH INTEGRATION
Published
2026-11-09
DOI
https://doi.org/10.5281/zenodo.24085119
Primary Topic
Digital Economy and Transformation
Type
article
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article

ORGANIZATIONAL AND ECONOMIC MODEL OF DIGITAL TRANSFORMATION IN THE REGIONAL LIGHT INDUSTRY: MECHANISMS AND FORECAST TO 2030 (EVIDENCE FROM BUKHARA REGION, UZBEKISTAN)

Dilfuza Nuriddinovna Akhmedova
ECONOSCITECH INTEGRATION
Digital Economy and Transformation
article

ORGANIZATIONAL AND ECONOMIC MODEL OF DIGITAL TRANSFORMATION IN THE REGIONAL LIGHT INDUSTRY: MECHANISMS AND FORECAST TO 2030 (EVIDENCE FROM BUKHARA REGION, UZBEKISTAN)

Dilfuza Nuriddinovna Akhmedova
article en

Abstract

The article proposes an organisational and economic model for managing the digital transformation of light industry enterprises as a driver of regional economic development. Based on an empirical assessment of 25 textile enterprises in the Bukhara region, which revealed a moderate and uneven level of digital maturity (mean Digital Transformation Index, RTI = 0.506), the model transforms digital transformation from a spontaneous process into a managed, phased, and measurable five-stage cycle comprising diagnostics, strategy, infrastructure, implementation, and monitoring. The model is differentiated according to digital maturity groups, with the validity of the grouping confirmed by analysis of variance (ANOVA; F = 79.76; p < 0.001). Three supporting mechanisms are substantiated: a regional digital competence centre, a multi-source financing system, and a digital export platform. A three-scenario forecast to 2030 indicates that, under the target scenario, the regional RTI will increase from 0.45 to 0.80, labour productivity will rise by 60%, and textile exports will grow by 77%, with an investment efficiency ratio of 10.08.

ECONOSCITECH INTEGRATION
Digital Economy and Transformation
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ORGANIZATIONAL AND ECONOMIC MODEL OF DIGITAL TRANSFORMATION IN THE REGIONAL LIGHT INDUSTRY: MECHANISMS AND FORECAST TO 2030 (EVIDENCE FROM BUKHARA REGION, UZBEKISTAN) — Dilfuza Nuriddinovna Akhmedova · ECONOSCITECH INTEGRATION (2026) | TGRS Research Map | TGRS