MANAGEMENT MECHANISMS FOR IMPROVING THE OPERATIONAL EFFICIENCY OF TEXTILE INDUSTRY ENTERPRISES THROUGH ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.5281/zenodo.22877532Abstract
This article analyzes the management mechanisms for implementing artificial intelligence (AI) technologies in the governance systems of textile industry enterprises. A review of the international literature reveals that most existing research concentrates on the technical dimensions of AI adoption (quality control, computer vision, dyeing-process optimization), while the managerial and organizational mechanisms — the integration of AI into corporate strategy, financial control, and organizational structure — remain comparatively underexplored. This study addresses this gap by applying the Technology– Organization–Environment (TOE) framework to comparatively analyze international experience (the United States, China, Germany) and the Uzbekistan context, proposing a three-layer AI-based managementmechanism model (AI-MMM) for textile enterprises. The study follows an analytical-synthetic methodology grounded in secondary sources.Keywords
artificial intelligence, management mechanisms, textile industry, TOE framework, digital transformation, Industry 4.0, KPI governanceReferences
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