Current trends in the smartization of business processes in industrial enterprises

The smartization of business processes in industrial enterprises is a key trend in digital transformation, enabling increased efficiency, automation of production, and optimization of management decisions. With the rapid development of Industry 4.0 technologies, enterprises must integrate smart solutions such as artificial intelligence, the Internet of Things (IoT), blockchain, and digital twins to maintain competitiveness in the global market. This paper explores the concept of smartization, highlights the main technologies driving this transformation, and examines their impact on industrial business processes. The purpose of the paper is to analyze the current trends in the smartization of business processes in industrial enterprises and assess the effectiveness of integrating intelligent technologies in production and management. The study reveals that smartization significantly improves production efficiency, reduces operational costs, and enhances the adaptability of enterprises to market changes. The integration of artificial intelligence allows for real-time data analysis and predictive maintenance, minimizing downtime and optimizing production planning. IoT solutions facilitate automated monitoring of equipment and processes, ensuring better resource allocation and reducing energy consumption. The use of blockchain technology strengthens data security and transparency, particularly in supply chain management, while digital twins enable accurate process modeling and scenario analysis. Despite the numerous benefits, the implementation of smart technologies in industrial enterprises is associated with several challenges. High investment costs remain a significant barrier, particularly for small and medium-sized enterprises. The shortage of skilled personnel capable of operating and maintaining digital systems poses another obstacle to widespread adoption. Moreover, cybersecurity risks increase with the expansion of interconnected systems, necessitating robust data protection measures. The absence of standardized integration frameworks also complicates the seamless incorporation of smart technologies into existing industrial infrastructures.

Authors

Institutions

Publication Details

Journal
Economics Finances Law
Published
2025-02-28
DOI
https://doi.org/10.37634/efp.2025.2.1
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Current trends in the smartization of business processes in industrial enterprises

Iryna Bashynska, Roman LIAKH
Economics Finances Law
Economic and Technological Systems Analysis
article

Current trends in the smartization of business processes in industrial enterprises

Iryna Bashynska, Roman LIAKH
article en

Abstract

The smartization of business processes in industrial enterprises is a key trend in digital transformation, enabling increased efficiency, automation of production, and optimization of management decisions. With the rapid development of Industry 4.0 technologies, enterprises must integrate smart solutions such as artificial intelligence, the Internet of Things (IoT), blockchain, and digital twins to maintain competitiveness in the global market. This paper explores the concept of smartization, highlights the main technologies driving this transformation, and examines their impact on industrial business processes. The purpose of the paper is to analyze the current trends in the smartization of business processes in industrial enterprises and assess the effectiveness of integrating intelligent technologies in production and management. The study reveals that smartization significantly improves production efficiency, reduces operational costs, and enhances the adaptability of enterprises to market changes. The integration of artificial intelligence allows for real-time data analysis and predictive maintenance, minimizing downtime and optimizing production planning. IoT solutions facilitate automated monitoring of equipment and processes, ensuring better resource allocation and reducing energy consumption. The use of blockchain technology strengthens data security and transparency, particularly in supply chain management, while digital twins enable accurate process modeling and scenario analysis. Despite the numerous benefits, the implementation of smart technologies in industrial enterprises is associated with several challenges. High investment costs remain a significant barrier, particularly for small and medium-sized enterprises. The shortage of skilled personnel capable of operating and maintaining digital systems poses another obstacle to widespread adoption. Moreover, cybersecurity risks increase with the expansion of interconnected systems, necessitating robust data protection measures. The absence of standardized integration frameworks also complicates the seamless incorporation of smart technologies into existing industrial infrastructures.

Economics Finances LawVol. 2/2025(-)
Odessa National Polytechnic University (UA)
Openalex Percentile: Top 93%
Economic and Technological Systems Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.