Analysis of Talent Cultivation Models and Challenges in Publisher-Laboratory Collaboration
PDF

Keywords

publisher-laboratory collaboration; talent cultivation models; digital publishing education; collaborative innovation; industry-academia partnership

Abstract

Cooperation paradigms in nurturing talent between research institutions and publishing houses arose due to the revolution in the publishing sector caused by the digital revolution, which generated extremely unprecedented needs for professionals possessing technical as well as editorial skills. This discussion looks at qualities, efficacy, and issues associated with cooperation among publishers and research institutions with objectives of developing talent within digital publications. Using a mixed-method design, the study incorporates case studies of eight model partnerships, 35 informant interviews, and survey administration of 236 participants from 2020-2024. Analysis documents three cultivation models with varying performance levels: the Practice Base Model (26.2%), with 85% rate of employment of conversion through formal internships; the Project-Driven Model (31.5%), with 68% upgradation of skills through involvement in actual industry projects; and the Joint Cultivation Model with 42.3% rate of adoption on the basis of intense scholarly preparation through double-supervisor environments. Organizational support (β=0.42), investment in resources (β=0.38), and culture integration (β=0.35) are critical success factors, whereas intellectual property differences (62.5%), resource imbalance as an allocation problem (75%), and organizational goal differences (87.5%) are main cooperation hindering factors. The study concludes with recommendations on a conceptual framework known as the “Double-helix,” hypothesizing synthesis of academic literature coupled with experiential wisdom in talent development. Practical uses of this paradigm are organizational departments entirely dedicated to inter-cooperations, increased industry-academic partnerships, and idea creation of facilitative policy plans.

https://doi.org/10.63808/pcm.v1i3.240
PDF

References

[1] Ahmed, F., Fattani, M. T., Ali, S. R., & Enam, R. N. (2022). Strengthening the bridge between academic and the industry through the academia-industry collaboration plan design model. Frontiers in Psychology, 13, 875940. https://doi.org/10.3389/fpsyg.2022.875940

[2] Cherbonnier, A., Hémon, B., Michinov, N., Jamet, E., & Michinov, E. (2025). Collaborative skills training using digital tools: A systematic literature review. *International Journal of Human-Computer Interaction, 41*(7), 4155–4173. https://doi.org/10.1080/10447318.2024.2348227

[3] Esangbedo, C. O., Zhang, J., Esangbedo, M. O., Kone, S. D., & Xu, L. (2024). The role of industry-academia collaboration in enhancing educational opportunities and outcomes under the digital driven Industry 4.0. Journal of Innovation, Policy and Development, 8(1), 2569. https://doi.org/10.24294/jipd.v8i1.2569

[4] He, Y., He, H., Zhang, G., & Li, Y. (2023). Construction of a collaborative education model between universities and enterprises for the digital media art and design discipline in the context of digitalization. In Proceedings of the 2023 International Conference on Education (pp. 123–130). Francis Academic Press. https://doi.org/10.25236/IJNDE.2024.060616

[5] Kettunen, P., Järvinen, J., Mikkonen, T., & Männistö, T. (2022). Energizing collaborative industry-academia learning: A present case and future visions. European Journal of Futures Research, 10(1), 8. https://doi.org/10.1186/s40309-022-00196-5

[6] Kumar, M. J. (2024). Breaking barriers: The symbiotic interplay of academia and industry in shaping our future. *Journal of Industry-University Research, 41*(1), 1–2.

[7] Marijan, D., & Sen, S. (2022). Industry–academia research collaboration and knowledge co-creation: Patterns and anti-patterns. ACM Transactions on Software Engineering and Methodology, 31(3), 1–52.

[8] Meijer, H., Hoekstra, R., Brouwer, J., & Strijbos, J.-W. (2020). Unfolding collaborative learning assessment literacy: A reflection on current assessment methods in higher education. Assessment & Evaluation in Higher Education, 45(8), 1222–1240. https://doi.org/10.1080/02602938.2020.1729696

[9] Mena-Guacas, A. F., Meza-Morales, J. A., Fernández, E., & López-Meneses, E. (2023). Digital collaboration in higher education: A study of digital skills and collaborative attitudes in students from diverse universities. Education Sciences, 14(1), 36. https://doi.org/10.3390/educsci14010036

[10] Pantanowitz, L., Bui, M. M., Chauhan, C., ElGabry, E., Hassell, L., Li, Z., & Tulman, D. (2022). Rules of engagement: Promoting academic-industry partnership in the era of digital pathology and artificial intelligence. Academic Pathology, 9(1), 100026.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2025 Ran Li, Rozaini Rosli