Sitora Ashurova

Sitora Ashurova
Full-time PhD student

Education / Academic qualification

2018-2021 Westminster University in Tashkent, bachelor degree of “Business Management”
2021-2023 Westminster University in Tashkent, master degree of “International Commercial Law”

Employment

2018-2020 "Vunderkind E'zozbek" Non-state preschool education director.
2021-2022 “WESTMINSTER INTERNATIONAL SCHOOL IN TASHKENT” Teacher assistant.
2026-present PhD student at Westminster International University in Tashkent.

Expertise

Project Management
Digital Transformation Strategy
Process Optimization and Productivity
Management Innovation
Corporate Governance and Regulatory Systems
Quantitative Research & Data Analytics

Doctoral project

The title of the dissertation is “Digital Transformation Management and Productivity in Uzbekistan.”

In the context of accelerating digital reforms and large-scale technological investments across emerging economies, organizations increasingly adopt digital tools with the expectation of achieving higher efficiency and productivity. However, despite substantial investments in ERP systems, data analytics, and digital platforms, productivity gains remain inconsistent. This paradox raises an important theoretical and practical question: why does digital transformation not automatically translate into improved organizational performance? Existing literature often focuses on the direct relationship between digitalization and firm-level outcomes, yet pays limited attention to the internal organizational mechanisms that mediate this relationship. As a result, the “digital productivity black box” remains insufficiently explained.

The ongoing research examines how digital transformation reshapes internal organizational structures and processes in Uzbekistan’s public and private sector organizations. In particular, the study analyzes the mediating role of real-time KPI systems, bureaucracy reduction, and business process reengineering in translating digital investments into measurable process-level productivity improvements. The research pays special attention to how digital tools influence managerial decision-making, reduce hierarchical bottlenecks, and enable data-driven performance management. It also explores the extent to which organizations merely digitize existing bureaucratic routines versus fundamentally redesign their processes.

Using quantitative research methods, including survey-based firm-level data and statistical modeling techniques such as mediation analysis and structural equation modeling, the study evaluates the causal pathways between digital transformation initiatives and productivity outcomes. By focusing on Uzbekistan as an emerging economy undergoing rapid institutional and technological reforms, the dissertation contributes to both digital transformation literature and organizational change theory, offering a process-level explanation of how digital transformation enhances productivity rather than assuming a direct technological effect.

Publications

Ashurova, S. (2025). ‘Uzbekistan’s economic transformation in 2025: Growth, sustainability, and investment opportunities’, Biruni Journal, 14 May. Available from https://birunijournal.uz/ru/journal/article/ozbekiston-iqtisodiyotini-2025-yildagi-transformatsiyasi-osish-barqararlik-va-investitsiya-imkoniyatlari/

Ashurova, S. (2025). ‘Remittances, human capital, and sustainable development in Uzbekistan: An international perspective’, SJEHSS – Sciental Journal of Economics, Humanities and Social Sciences, 16 October. Available from https://scientaljournals.com/index.php/SJEHSS/index

Ashurova, S. (2025). ‘The role of digital transformation in enhancing management innovation: Evidence from Uzbekistan’s enterprises’, International Journal of Multidisciplinary Research and Development (IJMRD), 17 October. Available from https://www.ijmrd.in/index.php/imjrd/article/view/3839

Ashurova, S. (2025). ‘The role of international trade and investment in poverty reduction in Uzbekistan’, Journal of Research in Economics and Development, 22 October. Available from https://economics.pubmedia.id/index.php/jred/article/view/923

Ashurova, S. (2025). ‘Enhancing inflation forecasting through hybrid econometric and machine learning approaches in emerging markets’, Konferensiyalar.com Conference Proceedings, 26 October. Available from https://konferensiyalar.com/index.php/yd/article/view/164

Conference participations, scientific talks

Sitora Ashurova

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