What Drives Industry 4.0 Technologies Adoption? Evidence from a SEM-Neural Network Approach in the Context of Vietnamese Firms

Vu Linh Toan Le, Tien Hoang Nguyen and Khanh Duy Pham
Additional contact information
Vu Linh Toan Le: Faculty of Finance and Banking, Van Lang University, Ho Chi Minh City 70000, Vietnam
Tien Hoang Nguyen: Faculty of Finance and Banking, Van Lang University, Ho Chi Minh City 70000, Vietnam
Khanh Duy Pham: School of Banking, University of Economics Ho Chi Minh City, Ho Chi Minh City 70000, Vietnam

Sustainability, 2023, vol. 15, issue 7, 1-32

Abstract: The development of the Industrial Revolution 4.0 has far-reaching effects on all aspects of life, the economy, and society, bringing various growth opportunities for businesses. However, businesses are still hesitant to apply these new technologies. On a research sample from a survey of 396 Vietnamese enterprises, the study uses the SEM-neural network method to determine the relationship and importance of five groups of factors affecting the firms’ Industry 4.0 technologies adoption. The results suggest that five groups of factors, including Perceived characteristics, Technological competencies, CEO characteristics, Environmental characteristics, and Subjective Norms, all positively and significantly impact the Industry 4.0 technologies adoption in Vietnam. In particular, Technological competencies are the most influential factors according to the SEM method, while Subjective norms factors have the most decisive impact according to the neural-network method. Moreover, the research also found that adopting Industry 4.0 technologies depends on different company characteristics, such as age, size, status, and industry.

Keywords: Industry 4.0 technology; innovation implementation; technology diffusion; Vietnamese firms; SEM-neural network (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/7/5969/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/7/5969/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:7:p:5969-:d:1111273

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().