Temukan Wawasan Ilmiah dari Berbagai Jurnal Akademik

This article argues that Uzbekistan's membership in the World Trade Organization will create favorable conditions for further improving economic cooperation with other countries, increasing trade volumes, and strengthening external competitiveness...

This article examines the transformative role of blockchain technology in reducing corruption and operational costs within international trade and logistics systems. In the context of increasing globalization and the complexity of cross-border tra...

This article examines how the COVID-19 pandemic accelerated digital innovation and financial technology adoption in Uzbekistan. Using an explanatory mixed-methods design combining quantitative trend analysis (2017–2022) with qualitative process-tr...

This article examines the issues of maintaining financial statements in joint-stock companies of the Republic of Uzbekistan based on International Financial Reporting Standards (IFRS). Based on the development of the corporate sector in the countr...

This paper investigates digital transformation as an eventual mediator between strategic management practices on organizational performance in light of fragmented and poorly structured settings around Digital-Native Enterprises sectors throughout ...

This article examines the strategic role of artificial intelligence (AI) technologies in fostering youth entrepreneurship within the broader context of Uzbekistan's digital transformation. Drawing on econometric analysis of panel data covering reg...

Tourism is among the fastest-growing economic sectors in the world, yet its expansion places considerable pressure on natural resources, energy systems and the climate, with the accommodation segment recognised as one of the most resource-intensiv...

This article presents a systematic analysis, based on Scopus-indexed sources, of the application of artificial intelligence (AI) methods to the monitoring and forecasting of emergency situations (ES) over the period 2019–2026. Machine learning and...

This article investigates the automatic classification of mechanical engineering terminology using artificial intelligence technologies. During the study, terminology units collected from a specialized corpus were analyzed through Natural Language...

This thesis analyzes the issues of creating an automatic classification model for machine-building terms in the Uzbek language based on a corpus. The study examines methods for the linguistic, semantic, and structural separation of terms. A corpus...