THE ROLE OF DIGITAL TECHNOLOGIES IN ENHANCING EFFICIENCY IN PUBLIC INSTITUTIONS

Аннотация

This thesis explores the transformative role of digital technologies in customs operations, focusing on the experience and strategies of the World Customs Organization (WCO). It provides a comparative analysis of "digital customs" and "electronic customs," outlines the benefits of adopting information and communication technologies (ICT), and highlights key innovations such as big data, telematics, and cloud computing. Drawing upon global practices and WCO frameworks, the thesis offers recommendations for enhancing the efficiency, security, and transparency of customs services through digital transformation. Keywords: Digital Customs, Electronic Customs, Big Data, Telematics, Cloud Technologies, World Customs Organization. In an era of accelerating globalization and technological advancement, the modernization of customs systems through digital transformation has become an indispensable pillar of international trade facilitation, border security, and economic competitiveness. This thesis investigates the multifaceted role of the World Customs Organization (WCO) in guiding and supporting the adoption of digital technologies in customs administration across its member states. It explores the evolution of customs practices from traditional and paper-based operations to “electronic customs”, and further into the more advanced and integrative concept of “digital customs”. While electronic customs primarily involve the automation of document processing and transactional functions, digital customs encompass a broader ecosystem characterized by real-time data analysis, predictive modeling, cognitive analytics, telematics, cloud computing, and Internet of Things (IoT) technologies. The study emphasizes how the WCO, since its declaration of 2016 as the "Year of Digital Customs," has championed a strategic framework that includes data-driven governance, global interoperability, and the development of international standards such as the WCO Data Model. These efforts aim to enhance transparency, reduce corruption, ensure compliance, and improve the efficiency of cross-border trade procedures. Central to this transformation is the 146 ACADEMIC RESEARCH IN MODERN SCIENCE International scientific-online conference effective use of big data and AI-based tools that enable customs authorities to move from reactive inspections to proactive, risk-based decision-making. Moreover, the thesis underscores the necessity of robust legal and institutional mechanisms to protect data privacy, ensure system integrity, and build public trust in digital platforms. 1. Concepts of Electronic and Digital Customs There is often confusion between the terms electronic customs and digital customs. Though related, they differ in scope and application: - Electronic Customs focuses on paperless processes: electronic document handling, automated clearance, mobile apps for status tracking, and electronic payments. - Digital Customs includes all of the above but further extends to: - Big Data and AI-powered analysis. - Telematics for tracking shipments and vehicles - Cloud technologies for scalable data storage - Use of social media, IoT (Internet of Things), and mobile positioning systems While electronic customs aim at automation and efficiency, digital customs represent a holistic, intelligent ecosystem for predictive analysis and real-time monitoring. 2. WCO’s Strategic Approach to Digital Transformation The WCO advocates the adoption of advanced ICT tools to improve customs oversight and foster global trade. Key elements of its digital strategy include: - Data-Driven Governance: In 2017, WCO introduced the motto "Data Analysis for Effective Border Management," signaling a shift toward predictive and risk-based decision-making. - WCO Data Model: This standard supports seamless data sharing between government entities and enhances consistency in customs declarations. - Interoperability and Cooperation: By encouraging integration between national customs authorities and other government bodies, WCO promotes transparency and speed in cross-border operations. 3. Big Data and Cognitive Analytics in Customs According to Gartner, big data is characterized by its volume, variety, and velocity. In customs, data sources range from declarations and databases to open sources like news websites and corporate portals. The key challenge lies not in data collection but in intelligent interpretation. Advanced customs services now use: 147 ACADEMIC RESEARCH IN MODERN SCIENCE International scientific-online conference - cognitive analytics to make sense of unstructured and ambiguous data; - machine learning algorithms to detect fraud or irregular trade patterns; - visualization tools for effective reporting and operational planning. Digital transformation also requires customs officers to develop data literacy and technical skills to leverage these innovations effectively. 4. Ensuring Data Security and Legal Compliance With the rise of digital customs, data protectio