DIVERSIFICATION OF BUSINESS THROUGH DIGITAL TECHNOLOGIES: CASE STUDY OF KAZAKHSTAN INDUSTRIAL COMPANIES
DOI:
https://doi.org/10.2478/eoik-2025-0073Keywords:
Diversification, Digital technologies, business performance, multiple regression analysis, industrial firmsAbstract
This article examines the impact of digital technologies on the diversifi-
cation of industrial enterprises’ activities, using the example of industri-
al firms in Kazakhstan. A literature review was conducted to analyze the
influence of digital technologies on financial, human resource, and lo-
gistics indicators of enterprises, as well as their effects on activity diver-
sification. Based on the review and expert interviews, the authors devel-
oped survey questions and conducted a survey among 230 respondents
who are middle and high-level managers of industrial enterprises in
Kazakhstan. Using the Smart PLS program, we employed a dual-model
approach: one to measure variables like digital technologies, financial
performance, HR performance, logistic performance and diversification
levels (Formative model), and another to analyze their relationships
(Structural Equation Modeling, SEM). The findings indicate strong con-
vergent validity among the variables studied. Interestingly, digital tech-
nologies have a significant impact on financial and HR performances,
but less so on logistic performance. This highlights a common issue
among most industrial enterprises: the limited use of digital technolo-
gies in their logistical consolidation. Moreover, while financial and HR
performances strongly influence enterprise diversification, logistic has a
minor effect. These results underscore the intricate dynamics within en-
terprise management frameworks and highlight how technological and
organizational strategies can affect diversification outcomes differently.
The results of the study can be useful for supporting the theory of the
relationship between digital technologies and the diversification of en-
terprise activities, as well as for identifying problem areas that require
deeper analysis and intervention by top managers of enterprises.
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