IMPROVING PROJECT RISK MANAGEMENT IN THE CONTEXT OF ORGANIZATIONAL DIGITAL TRANSFORMATION

Gulnoza Ismailova Baxodirovna

doi:10.5281/zenodo.23527203

29.10.2026

English

IMPROVING PROJECT RISK MANAGEMENT IN THE CONTEXT OF ORGANIZATIONAL DIGITAL TRANSFORMATION

Дата публикации

29.10.2026

Журнал

Республиканская научно-практическая конференция на тему «Цифровая и педагогическая трансформация и исследовательские модели современного образования»

Выпуск

Страницы

266-270

DOI

10.5281/zenodo.23527203

Авторы

Gulnoza Ismailova Baxodirovna

Аннотация

Digital transformation is significantly changing the conditions under which projects are implemented and the approaches used to manage project risks. The use of data analytics, digital platforms, automated systems, and artificial intelligence expands the possibilities for early risk identification and assessment, while simultaneously creating new technological, informational, and organizational threats. The purpose of this study is to develop conceptual proposals for improving project risk management through the integration of digital monitoring, data analytics, and professional managerial judgment. The methodological basis of the study includes analysis and synthesis of scientific literature, comparative analysis, systematization, and conceptual modelling. As a result, an adaptive digital mechanism for project risk management is proposed, based on the continuous interaction of data, risk assessment, forecasting, managerial decision-making, monitoring, and subsequent adjustment. The study concludes that project risk management should move from predominantly periodic control towards a more dynamic and proactive approach while preserving the decisive role of professional judgment by the project manager.

Ключевые слова

artificial intelligence digital monitoring digital transformation managerial decision-making. project management project risk risk management

Версии на других языках

Oʻzbekcha

Raqamli transformatsiya loyihalarni amalga oshirish shartlari va loyiha xatarlarini boshqarish yondashuvlarini sezilarli darajada o‘zgartirmoqda. Ma’lumotlar tahlili, raqamli platformalar, avtomatlashtirilgan tizimlar va sun’iy intellektdan foydalanish xatarlarni erta aniqlash va baholash imkoniyatlarini kengaytirish bilan birga, yangi texnologik, axborotga oid va tashkiliy tahdidlarni ham yuzaga keltirmoqda. Tadqiqotning maqsadi raqamli monitoring, ma’lumotlar tahlili va professional boshqaruv mulohazalarini integratsiyalash orqali loyiha xatarlarini boshqarishni takomillashtirishga doir konseptual takliflarni ishlab chiqishdan iborat. Tadqiqotning metodologik asosini ilmiy adabiyotlarni tahlil qilish va sintezlash, qiyosiy tahlil, tizimlashtirish hamda konseptual modellashtirish usullari tashkil etadi. Tadqiqot natijasida ma’lumotlar, xatarlarni baholash, prognozlash, boshqaruv qarorlarini qabul qilish, monitoring va keyingi tuzatishlarning uzluksiz o‘zaro ta’siriga asoslangan loyihalar xatarlarini boshqarishning adaptiv raqamli mexanizmi taklif etildi. Tadqiqot xulosasiga ko‘ra, loyiha xatarlarini boshqarish asosan davriy nazoratga asoslangan yondashuvdan yanada dinamik va proaktiv yondashuvga o‘tishi, bunda loyiha menejerining professional mulohazasi hal qiluvchi ahamiyatini saqlab qolishi lozim.

boshqaruv qarorlarini qabul qilish loyiha boshqaruvi loyiha xatarlari raqamli monitoring raqamli transformatsiya sun’iy intellekt xatarlarni boshqarish

Список литературы

1. International Organization for Standardization. ISO 31000:2018. Risk management — Guidelines. 2nd ed. Geneva: ISO, 2018.

2. Project Management Institute. Risk Management in Portfolios, Programs, and Projects: A Practice Guide. First Edition. Newtown Square, PA: Project Management Institute, 2024.

3. Nenni M.E., De Felice F., De Luca C., Forcina A. How artificial intelligence will transform project management in the age of digitization: a systematic literature review // Management Review Quarterly. 2025. Vol. 75. P. 1669–1716. DOI: 10.1007/s11301-024-00418-z.

4. Badhon B., Chakrabortty R.K., Anavatti S.G., Vanhoucke M. A Multi-Module Explainable Artificial Intelligence Framework for Project Risk Management: Enhancing Transparency in Decision-making // Engineering Applications of Artificial Intelligence. 2025. Vol. 148. Article 110427. DOI: 10.1016/j.engappai.2025.110427.

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