Structural equation modeling (SEM) in Jamovi: An example of analyzing the impact of factors on the innovation activity of enterprises

Main Article Content

Assel SADENOVA

assadenova@edu.ektu.kz

https://orcid.org/0000-0003-4052-8830
Oxana DENISSOVA

odenisova@edu.ektu.kz

https://orcid.org/0000-0003-4499-2809
Marina KOZLOVA

mkozlova@edu.ektu.kz

https://orcid.org/0000-0001-9185-6848
Saule RAKHIMOVA

saulesha_rahimova@mail.ru

https://orcid.org/0000-0003-0553-9606
Arkadiusz GOLA

a.gola@pollub.pl

https://orcid.org/0000-0002-2935-5003
Saltanat SUIEUBAYEVA

SSuieubaeva@edu.ektu.kz

https://orcid.org/0000-0002-0290-6290

Abstract

The aim of this study is to demonstrate the capabilities of the Jamovi software in analyzing complex economic models, using the case of examining the impact of various factors on enterprise innovation activity. Structural Equation Modeling (SEM) was employed to identify both direct and mediated relationships among economic and digital infrastructure, factors related to research and development (R&D), and innovation activity. The analysis results confirmed the positive impact of economic infrastructure on the level of R&D and the innovation activity of enterprises, as well as the mediating role of R&D factors in transmitting the effects of infrastructure. Meanwhile, the influence of digital infrastructure was found to be weak, highlighting the need for further development of digital technologies and their integration into economic activities. The findings and methodology of the study can be utilized to enhance the competitiveness of enterprises and to develop effective measures for state support of innovation activities in various regions.

Keywords:

structural equation modeling (SEM), Jamovi, innovation activity, enterprises

References

Article Details

SADENOVA, A., DENISSOVA, O., KOZLOVA, M., RAKHIMOVA, S., GOLA, A., & SUIEUBAYEVA, S. (2025). Structural equation modeling (SEM) in Jamovi: An example of analyzing the impact of factors on the innovation activity of enterprises. Applied Computer Science, 21(1), 97-110. https://doi.org/10.35784/acs_7037