Keywords
Workforce Transformation
HR Strategies
Manufacturing Industry
Quanzhou
Automation
Reskilling
Abstract
The rapid advancement of Artificial Intelligence (AI) is transforming workforce dynamics and reshaping Human Resource (HR) strategies, particularly in Quanzhou’s manufacturing industry. This study examines the impact of AI on workforce transformation, focusing on job automation, skill shifts, and HR management adaptation. Using a mixed-methods approach, data was collected through surveys and interviews with HR professionals and industry experts in Quanzhou’s manufacturing sector. The findings reveal that AI integration leads to increased efficiency and productivity but also necessitates workforce reskilling and redefined HR policies. While AI-driven automation streamlines repetitive tasks, it simultaneously creates demand for advanced technical skills and human-AI collaboration. HR departments are increasingly adopting AI-powered recruitment, performance evaluation, and employee engagement tools to optimize talent management. However, challenges such as job displacement, ethical concerns, and resistance to AI adoption persist. This study highlights the need for strategic workforce planning, continuous upskilling initiatives, and AI governance frameworks to ensure a balanced transition. The findings contribute to the growing discourse on AI-driven workforce transformation, providing practical insights for HR professionals and policymakers in the manufacturing sector.
References
Adams, S. G. (2001). The effectiveness of the E-Team approach to invention and innovation. Journal of Engineering Education, 90(4), 597–600. https://doi.org/10.1002/j.2168-9830.2001.tb00645.x
Atwood, S. A., & Pretz, J. E. (2016). Creativity as a factor in persistence and academic achievement of engineering undergraduates. Journal of Engineering Education, 105(4), 540–559. https://doi.org/10.1002/jee.20130
Berger, E. S., von Briel, F., Davidsson, P., & Kuckertz, A. (2019). Digital or not–The future of entrepreneurship and innovation: Introduction to the special issue. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2019.12.020
Bradley, D., Noonan, P., Nugent, H., & Scales, B. (2008). Review of Australian higher education. Canberra, Australia: Department of Education, Employment and Workplace Relations, Australian Government.
Castaño, M. S., Méndez, M. T., & Galindo, M. Á. (2016). The effect of public policies on entrepreneurial activity and economic growth. Journal of Business Research, 69(11), 5280–5285. https://doi.org/10.1016/j.jbusres.2016.04.125
Groenewald, T. (2004). Towards a definition for cooperative education. In R. K. Coll & C. Eames (Eds.), International handbook for cooperative education: An international perspective of the theory, research and practice of work-integrated learning (pp. 17–25). World Association for Cooperative Education.
Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925
Hambur, S., Rowe, K., Tu Luc, L., & Australian Council for Educational Research. (2002). Graduate skills assessment: Stage one validity study. Department of Education, Science and Training.
Hager, P., & Holland, S. (2006). Graduate attributes, learning and employability. Springer.
Huq, A., & Gilbert, D. (2017). All the world’s a stage: Transforming entrepreneurship education through design thinking. Education & Training, 59(2), 155–170.
Jackson, D. (2013). The contribution of work-integrated learning to undergraduate employability skill outcomes. Asia-Pacific Journal of Cooperative Education, 14(2), 99–115. https://www.ijwil.org/files/APJCE_14_2_99_115.pdf
Jiusto, S., & Dibiasio, D. (2006). Experiential learning environments: Do they prepare our students to be self-directed, life-long learners? Journal of Engineering Education, 95(3), 195–204. https://doi.org/10.1002/j.2168-9830.2006.tb00892.x
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004
Lamansusa, J. S., Zayas, J. L., Soyster, A. L., Morell, L., & Jorgensen, J. (2008). The Learning Factory: Industry-partnered active learning. Journal of Engineering Education, 97(1), 5–11. https://doi.org/10.1002/j.2168-9830.2008.tb00949.x
Lazzeretti, L., & Capone, F. (2016). How proximity matters in innovation networks dynamics along the cluster evolution. A study of the high technology applied to cultural goods. Journal of Business Research, 69(12), 5855–5865. https://doi.org/10.1016/j.jbusres.2016.04.068
McWilliam, E., & Dawson, S. (2008). Teaching for creativity: Towards sustainable and replicable pedagogical practice. Higher Education Research & Development, 56, 633–643. https://doi.org/10.1007/s10734-008-9115-7
Möller, K., & Halinen, A. (2017). Managing business and innovation networks—From strategic nets to business fields and ecosystems. Industrial Marketing Management, 67, 5–22. https://doi.org/10.1016/j.indmarman.2017.09.018
Moenaert, R. K., Caeldries, F., Lievens, A., & Wauters, E. (2000). Communication flows in international product innovation teams. Journal of Product Innovation Management, 17(5), 360–377. https://doi.org/10.1016/S0737-6782(00)00048-5
National Committee of Inquiry into Higher Education. (1997). Higher education in the learning society [Dearing report]. London: Her Majesty’s Stationery Office.
National Innovation and Science Agenda. (2016). https://www.innovation.gov.au/
Office of the Chief Scientist. (2015). Boosting high-impact entrepreneurship in Australia—A role for universities. Australian Government.
Passow, H. J. (2012). Which ABET competencies do engineering graduates find most important in their work? Journal of Engineering Education, 101(1), 95–118. https://doi.org/10.1002/j.2168-9830.2012.tb00043.x
Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63(1), 539–569. https://doi.org/10.1146/annurev-psych-120710-100452
Rampersad, G. (2014). Perceptions of creativity in university-industry partnerships: A pedagogical approach. International Journal of Innovation and Technology Management, 11(06), 1450045. https://doi.org/10.1142/S021987701450045X
Rampersad, G. (2015). Developing university-business cooperation through work-integrated learning. International Journal of Technology Management, 68(3–4), 203–227. https://doi.org/10.1504/IJTM.2015.069664
Rampersad, G., & Jarvis, J. (2012). Developing innovation skills through work-integrated learning. Global Perspectives on Engineering Management, 2(4), 165–174.
Rampersad, G., & Patel, F. (2014). Creativity as a desirable graduate attribute: Implications for curriculum design and employability. Asia-Pacific Journal of Cooperative Education, 15(1), 1–11. https://www.ijwil.org/files/APJCE_15_1_1_11.pdf
Scott, G., & Yates, K. W. (2002). Using successful graduates to improve the quality of undergraduate engineering programmes. European Journal of Engineering Education, 27(4), 363–378. https://doi.org/10.1080/03043790210166666
Sousa, M. J., & Rocha, Á. (2019). Skills for disruptive digital business. Journal of Business Research, 94, 257–263. https://doi.org/10.1016/j.jbusres.2017.12.051
Sternberg, R. J., & O’Hara, L. A. (1999). Creativity and intelligence. In R. Sternberg (Ed.), Handbook of Creativity. Cambridge University Press.
Xie, X., & Wang, H. (2020). How can open innovation ecosystem modes push product innovation forward? An fsQCA analysis. Journal of Business Research, 108, 29–41. https://doi.org/10.1016/j.jbusres.2019.10.011
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