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Evaluating Industry 4.0 readiness: A quantitative analysis of human and technological factors in the Russian context
1 School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 611731, China
2 Center for West African Studies, University of Electronic Science and Technology of China (UESTC), Chengdu, 611731, China
3 Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development, Kumasi, P.O. Box 1277, Ghana
4 School of Economics and Management, Southwest University of Science and Technology, Mianyang, 621010, China
* Corresponding Author: Addo Prince Clement. Email:
Journal of Psychology in Africa 2025, 35(3), 287-298. https://doi.org/10.32604/jpa.2025.067165
Received 26 May 2024; Accepted 04 April 2025; Issue published 31 July 2025
Abstract
This study investigated the influence of human capital development and technological, strategic, cognitive, and environmental factors on Industry 4.0 readiness, as well as cultural factors acting as a mediator. Respondents were 478 employees from across eight regions in Russia. Survey data were collected on employee technological readiness, human capital development, strategic planning, cognitive perceptions, and environmental and cultural factors influencing the adoption of Industry 4.0 technologies, with cultural factors mediating. These findings from the structure equation analysis show that technological factors and human capital development are the strongest predictors of readiness, suggesting that robust digital infrastructure and a skilled workforce are critical for Industry 4.0 adoption. These findings contribute specifically to the Unified Theory of Acceptance and Use of Technology (UTAUT) by expanding its application to the context of Industry 4.0 adoption. Furthermore, the findings provide practical insights for policymakers and industry leaders, empowering them to enhance technological implementation strategies by identifying areas such as human resource development to improve implementation strategies for Industry 4.0.Keywords
Cite This Article
Copyright © 2025 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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