INTEGRATION OF DIGITAL TOOLS INTO SERVICE SECTOR RISK MANAGEMENT

The article explores the integration of digital tools into risk management in the service sector within the context of digital transformation. It examines key technologies such as artificial intelligence, machine learning, blockchain, IoT, and cloud computing, which enhance risk identification, assessment, forecasting, and monitoring. The challenges of implementing digital technologies are analyzed, including cybersecurity threats, high costs of adapting business processes, and the incompatibility between traditional and digital solutions. Emphasis is placed on the importance of strategic planning, the development of adaptive business models, and enhancing digital competencies to achieve effective risk management. The study highlights how digital transformation fundamentally changes approaches to risk management by enabling automation, reducing costs, and improving decision-making accuracy. It provides practical recommendations for optimizing the use of digital tools to strengthen business processes, minimize operational risks, and maintain competitiveness in the rapidly evolving digital economy. Furthermore, the article underscores the role of emerging technologies in creating sustainable development strategies for enterprises. Machine learning and AI models facilitate predictive analytics by identifying complex risk patterns and enhancing real-time decision-making. Blockchain technology, with its ability to provide immutable records, improves data transparency and security, reducing fraud and operational inefficiencies. IoT enables dynamic risk monitoring, particularly in logistics and asset management, where real-time data collection significantly mitigates potential disruptions. The research also explores the socioeconomic implications of digitalization, such as bridging the digital divide and ensuring inclusivity. It emphasizes the need for global standards and international cooperation to address the risks associated with rapid technological adoption. The study concludes that integrating digital tools into risk management not only boosts operational efficiency but also fosters resilience in dynamic market conditions. The findings serve as a basis for future exploration of long-term impacts of digital transformation on business processes, innovation management, and competitive strategies in the service sector

Authors

Publication Details

Journal
Economics and Management
Published
2025-01-01
DOI
https://doi.org/10.32782/2312-7872.1.2025.23
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
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article

INTEGRATION OF DIGITAL TOOLS INTO SERVICE SECTOR RISK MANAGEMENT

Andriy Kirovich
Economics and Management
Digital Transformation in Industry
article

INTEGRATION OF DIGITAL TOOLS INTO SERVICE SECTOR RISK MANAGEMENT

Andriy Kirovich
article en

Abstract

The article explores the integration of digital tools into risk management in the service sector within the context of digital transformation. It examines key technologies such as artificial intelligence, machine learning, blockchain, IoT, and cloud computing, which enhance risk identification, assessment, forecasting, and monitoring. The challenges of implementing digital technologies are analyzed, including cybersecurity threats, high costs of adapting business processes, and the incompatibility between traditional and digital solutions. Emphasis is placed on the importance of strategic planning, the development of adaptive business models, and enhancing digital competencies to achieve effective risk management. The study highlights how digital transformation fundamentally changes approaches to risk management by enabling automation, reducing costs, and improving decision-making accuracy. It provides practical recommendations for optimizing the use of digital tools to strengthen business processes, minimize operational risks, and maintain competitiveness in the rapidly evolving digital economy. Furthermore, the article underscores the role of emerging technologies in creating sustainable development strategies for enterprises. Machine learning and AI models facilitate predictive analytics by identifying complex risk patterns and enhancing real-time decision-making. Blockchain technology, with its ability to provide immutable records, improves data transparency and security, reducing fraud and operational inefficiencies. IoT enables dynamic risk monitoring, particularly in logistics and asset management, where real-time data collection significantly mitigates potential disruptions. The research also explores the socioeconomic implications of digitalization, such as bridging the digital divide and ensuring inclusivity. It emphasizes the need for global standards and international cooperation to address the risks associated with rapid technological adoption. The study concludes that integrating digital tools into risk management not only boosts operational efficiency but also fosters resilience in dynamic market conditions. The findings serve as a basis for future exploration of long-term impacts of digital transformation on business processes, innovation management, and competitive strategies in the service sector

Economics and Management(1)
Openalex Percentile: Top 83%
Digital Transformation in Industry
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