The transformation of business processes in industrial enterprises under the conditions of digitalization
Author | Affiliation | ||
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Pryazovskyi State Technical University | UA | ||
Savenchuk, Ilya | Pryazovskyi state technical university | UA | |
Khadzynova, Mariia | Simon Kuznets Kharkiv National University of Economics | UA |
Date |
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2024 |
This article is dedicated to the study of the features of business process (BP) transformation in industrial corporations within the context of the digital economy. The purpose of the publication is to explore how corporations in the industrial production sector utilize management tools oriented toward process-based activities that meet consumer demand within their strategic business units. The research presents a definition and a generalized model of the digital economy, identifying the place of components and functional segments of integrated business information systems in Industry 4.0 industrial corporations. The study examines the parallel formation of value for both real and digital products in the context of business process digitization in corporate activities, alongside the content and specifics of information support throughout the stages of order processing that generate value in goods and services considered valuable to customers. Business processes in industrial enterprises are defined as a sequence of logically connected actions performed over a certain period within a specified space, aimed at creating goods or services with the goal of achieving an optimal economic outcome from subsequent sales. The study argues that progress in using BPs is achieved when, over time, the value added by their input is maximized. The article discusses means of optimizing BPs by breaking them down into a sequence of subprocesses, determining the chronological order of operations/subprocesses, visualization, and workflow schematics. It outlines the directions for BP transformation in the digital economy, extending requirements for proper procedure execution in identification, structuring, visualization, implementation, and control. Additional distinct requirements for digital BPs are formulated: operational efficiency, system accessibility, execution speed, confidentiality, a focus on quality service, and increased customer loyalty. BP transformations are viewed as drivers of competitive advantage in market competition, achievable through the technical enhancement of execution platforms, the involvement of artificial intelligence in BP execution, autonomous robotic systems, gaining new knowledge from processing large datasets, and the intellectualization of communication networks.