Typological analysis of the relationship between business process digitalization and labor productivity
Year: 2025
Type: article
Abstract: The article focuses on the exploration of the connection between the digitalization of business procedures and labor efficiency using a typological approach based on cluster analysis. The study justifies the applicability of a typological technique to identify consistent combinations of features related to digitalization and productivity, allowing for the consideration of significant differences in the digital transformation of individual business activities. The empirical foundation for this research is data from the digital profile of the State Industry Information System for the period 2021-2023, encompassing expert evaluations of the digital maturity of 34 primary and 53 supporting business operations, as well as financial indicators of organizations. At the initial stage, a factor analysis was conducted to reduce the number of variables representing the digital status and identify pivotal factors that explain more than 50% of the overall variance. The results of the factor analysis demonstrated the independence of digitalization in most business processes, with the exception of a few related processes such as management of experimental design, production preparation, and after-sales service. In the second phase, cluster analysis was used to identify types of enterprises based on the primary factors of digitalization for both core and auxiliary business processes, as well as standard labor productivity values. This resulting typology enables the tracking of stable groups of businesses over time and the analysis of their economic indicators such as fixed asset costs, net profit, staff numbers, and labor productivity. The study contributes to the development of a methodology for analyzing the connection between digitalization and labor productivity through the proposal of an approach that considers the specific characteristics of digitalizing business procedures and can be utilized for subsequent empirical and theoretical investigation
Authors: Stanislav Sharonov, Tatiana Lapina
Institution: Omsk State University
Language: English
Subfield: Strategy and Management
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4411972018