Cited by 63Digital Transformation in IndustryTechnology Adoption and User BehaviourImpact of AI and Big Data on Business and Society

Factors Affecting Adoption of Industry 4.0 by Small- and Medium-Sized Enterprises: A Case in Ho Chi Minh City, Vietnam

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Marketing Department, University of Finance – Marketing, NGUYEN, Xuan Truong, LUU, Quang Khai·2020·The Journal of Asian Finance, Economics and Business

Abstract

The fourth industrial revolution has attracted much academic attention in these past few years. However, research on systematic and extensive factors affecting adoption of Industry 4.0 by SMEs in developing countries, especially in Vietnam, has been unavailable. This study aims to explore the impact of factors that influence the actual adoption of Industry 4.0 by SMEs in Ho Chi Minh City. Mixed-method research was utilized in this study including in-depth interviews of 12 participants and quantitative research of 396 respondents who are representative of SMEs by both online and via paper surveys. The SPSS and SmartPLS 3 software were employed to help analyze the collected data. The results indicate that perceived development of the human resource, perceived on-time, perceived saving cost, perceived improve product quality, perceived saving time, perceived ease-of-use, business resources, and conditions of the business environment, perceived usefulness, perceived enhanced customer relationship, and adoption intention, all have a positive significant effect on actual adoption of Industry 4.0. The results seem to suggest that managerial efforts aimed at increasing the factors' perceptions of adoption of Industry 4.0 and personal relevance of the technology will contribute to implementation success, where success is defined as effectual usage of the Industry 4.0.

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  1. Agostini, L., & Nosella, A. (2019). The adoption of Industry 4.0 technologies in SMEs: results of an international study. Management Decision, 58(4), 625-643.
  2. Erol, S., Jäger, A., Hold, P., Ott, K., & Sihn, W. (2016). Tangible Industry 4.0: a scenario-based approach to learning for the future of production. Procedia CiRp, 54(1), 13-18.
  3. Friederichsen, M. R. M. B. N., & Keller, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 perspective. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 8(1), 37-44.
  4. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R.L. (1995). Multivariate data analysis (4th ed.). USA: Prentice-Hall, Inc.
  5. Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, 6, 1-10.
  6. Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54-89.
  7. Szozda, N. (2017). Industry 4.0 and its impact on the functioning of supply chains. LogForum, Scientific Journal of Logistics, 13(4), 401-414.
  8. Wang, S., Wan, J., Li, D., & Zhang, C. (2016). Implementing smart factory of industrie 4.0: an outlook. International Journal of Distributed Sensor Networks, 12(1), 3159805.

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Authors
Marketing Department, U. O. F. –. M., NGUYEN, X. T., & LUU, Q. K.
Affiliations
University of Finance - Marketing (VN)
Venue
The Journal of Asian Finance, Economics and Business
Published
2020-06-30
Volume
7
Issue
6
Pages
255-264
ISSN
  • 2288-4637 (ISSN-L)
  • 2288-4645
OpenAlex
W3037639502
Cited by
63
References
40
Citations by year
2026: 5 · 2025: 8 · 2024: 12 · 2023: 12 · 2022: 13 · 2021: 5 · 2020: 8
FWCI
6.06
Type
journal article
Language
en
Open access
Locations
Journal of Asian Finance Economics and Business (publishedVersion)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Keywords
Industry 4.0, technology adoption, small and medium-sized enterprises, adoption intention, perceived usefulness, perceived ease of use, business environment, human resource development, cost reduction, product quality, customer relationships, Ho Chi Minh City

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