Abstract
The fourth industrial revolution has resulted in a need for digital businesses to participate in the digital economy. Digital human resources play a crucial role in hel** businesses implement the digital transformation process. The quality of human resources is a critical factor in maintaining competitiveness and performance at the enterprise, universities, and economy-wide levels. In order to adapt to the digital era of the fourth industrial revolution, high-quality human resources capable of applying technology to production fields are required. Develo** a digital economy necessitates digital human resources to deploy, organize, and operate it. However, a major challenge is the shortage of high-quality human resources in manufacturing industries. Many university graduates remain unemployed because they do not meet the needs of employers, and many workers cannot find jobs in fields related to their training. This results in waste for families and society, creating an imbalance in labor supply and demand. Building cooperative relationships between universities and businesses is a necessary and critical direction. The two sides can provide information to each other, allowing universities to develop enrollment and training plans in accordance with the needs of the enterprise. This helps universities solve their dilemmas in finding outputs for learners, while also hel** businesses recruit high-quality human resources that universities cannot afford to train. This study uses an online data collection method through creating an online survey using Google Forms. The questionnaire was sent to managers at 200 small and medium-sized enterprises in Vietnam to analyze and assess the human resource needs of the economic sector to meet the development of the digital economy. The survey focuses on designing an assessment scale on business satisfaction for graduates at universities. The reliability of the scale is tested to test the hypotheses, serving as the basis for proposing solutions. The results of the study will help universities adjust training content and methods to improve the quality of human resources to serve the needs of develo** digital businesses. In addition, universities need to grasp the job market’s employment needs, seeing businesses as a bridge of information and providing universities with the labor market’s current demands. The linkage between universities and businesses is necessary and brings benefits to both parties. Through this, universities will form a human resource training strategy that is both specialized and practical to meet the demands of businesses, ensuring the quality of human resource training to meet society’s needs.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Barker, R. (2016). Working with Universities-CEO'S perspective: bringing science into industry from Universities. Research Management, 28(6), 22–24 Lillian N., Maiga G., Oyo B., (2021). International Journal of Digital Strategy Governance and Business Transformation, 11(1), 1-17.
Bełz, G., Wawrzynek, Ł., & Wąsowicz, M. (2019). Network potential of innovation in digital transformation projects. Transformations in Business & Economics, 18(2B) (47B), 694–708.
Bloom, B. S. (1982). The role of gifts and markers in the development of talent. Exceptional Children, 48(6), 510–522.
Boban, M., & Weber, M. (2018). Internet of Things, legal and regulatory framework in digital transformation from smart to intelligent cities. In Proceedings of 41st International Convention on Information and Communication Technology (pp. 1359–1364). Electronics and Microelectronics.
Carter, S., & Yeo, A. C.-M. (2017). Undergraduate perceptions of the knowledge, skills and competencies required of today’s practicing marketer. Higher Education, Skills and Work-Based Learning, 7(3), 240–260. https://doi.org/10.1108/HESWBL-12-2016-0084
Colton, R. M. (2016). Working with universities: status report on the NSF University/Industry Cooperative Research Centers. Research Management, 28(6), 25–31.
Dikova, D., Parker, S., & Witteloostuijn, A. (2017). Capability, environment and internationalization fit, and financial and marketing performance of MNEs’ foreign sub-sidiaries: an abductive contingency approach. Journal of Cross-Cultural and Strategic Management, 24, 405–435.
Elmuti, D., Abebe, M., & Nicolosi, M. (2005). An overview of strategic alliances between universities and corporations. The Journal of Workplace Learning, 17(1), 115–128.
Etzkowitz, H., & Leydesdorff, L. (1995). The triple Helix - University - Industry - Government relations: a laboratory for knowledge based economic development. EASST Review, 14(1), 14–19.
Forsyth, J., & Cowap, L. (2017). In-house, university-based work experience vs off-campus work experience. Higher Education, Skills and Work-Based Learning, 7(3), 229–239.
Gary, K., & Thomas. (2017). Which industries are served by online marketplaces for technology. Research Policy, Elsevier, 46(3), 651–666.
Hair Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: a global perspective (7th ed.). Pearson Education.
Hang, N. T., & Huan, N. V. (2020). Evaluation of the ability to respond the job placement of students to enterprises during integration 4.0. WSEAS Transactions on Environment and Development, 16, 250–259. https://doi.org/10.37394/232015.2020.16.26
Helyer, R. (2011). Higher education, skills and work-based learning. The Journal of the University Vocational Awards Council, 7(3), 15–27.
Howells, J. (1986). Industry-academic links in research and innovation: a national and regional development perspective. Regional Studies, 20, 472–476.
Inzelt, A. (2004). The evolution of university-industry-government relationships during transition. Research Policy, 33(6–7), 975–995.
Koschatzky, K., & Stahlecker, T. (2010). New forms of strategic reseach collaboration between firms and universities in the Germen research systerm. International Journal of Technology Transfer and Commercialization, 9, 94–110. https://doi.org/10.1504/IJTTC.2010.029427
Kozanoglu, D. C., & Abedin, B. (2020). Understanding the role of employees in digital transformation: conceptualization of digital literacy of employees as a multi-dimensional organizational affordance. Journal of Enterprise Information Management, 34(6), 1649–1672.
Laitsou, E., Kargas, A., & Varoutas, D. (2020). Digital competitiveness in the European Union Era: The Greek case. Economies, 8(4), 85.
Lopundung, T., Usaho, C., & Siribanpitak, P. (2021). Development of a small-sized school management system according to the concept of social enterprise. Journal of Education Studies, 131–146.
Mitev, N., & Venters, W. (2009). Reflexive evaluation of an academic–industry research collaboration: can mode 2 management research be achieved? Journal of Management Studies, 46(5), 733–754. https://doi.org/10.1111/j.1467-6486.2009.00846
Nguyen Thi Hang. (2021a). Optimizing the transaction with customers directions to digital transformation for enterprises. Turkish Journal of Computer and Mathematics Education, 12(11), 5676–5680.
Nguyen Thi Hang. (2021b). Digital education to improve the quality of human resources implementing digital transformation in the context of industrial revolution 4.0. Management, Innovation and Technologies, 11(2), 312–323.
Nguyen Thi Hang. (2021c). Universal education development to enhance the quality of human resources in the context of digital transformation and Industrial Revolution 4.0. The USV Annals of Economics and Public Administration, 21(1), 88–95.
Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21(2), 173–184.
Sonja, N., & Neven, V. (2021). Digital transformation of agencies for students’ part time jobs in the Republic of Croatia. JIOS, 45(2), 513–533.
Tuan, N. M., Hung, N. Q., & Hang, N. T. (2021). Digital transformation in the business: a solution for develo** cash accounting information systems and digitizing documents. Science & Technology Development Journal, 24(2), 1962–1974.
Wheeler, P. R., Hunton, J. E., & Bryant, S. M. (2004). Accounting information systems research opportunities using personality type theory and the Myers-Briggs type indicator. Journal of information systems, 18(1), 1–19.
Zhang, S., Duan, H., Wei, T., & Shane, G. (2020). A review of university-enterprise-cooperation research in China: a quantitative perspective. Construction Economics and Building, 20(3), 62–77.
Susanto, A. (2015). What factors influence the quality of accounting information. International Journal of Applied Business and Economic Research, 13(6), 3995–4014.
Disclaimer
This is the author’s research work. The information in the article is given honestly, with full citations. The author of the article is fully responsible for the content presented in his article.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article is part of the Topical Collection on University and Entrepreneurial Ecosystems.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Nguyen, T.H. Cooperation Between Universities and Businesses in Develo** Human Resources to Participate in the Digital Economy. J Knowl Econ (2023). https://doi.org/10.1007/s13132-023-01357-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s13132-023-01357-y
Keywords
- Digital transformation
- ICT sector
- Digital economy
- Digital education
- Industrial Revolution 4.0
- Economic growth
- Smart manufacturing