DEVELOPMENT OF WORKFORCE COMPETENCIES IN THE COMMUNICATION INDUSTRY THROUGH THE KAPSPOB MODEL

Authors

  • Titipat Iamnirun Department of Communication Arts, Sukhothai Thammathirat Open University
  • Wisut Khunsiri Independent Scholar

Keywords:

KAPSPoB Model, Competency Development, Media Industry, 70:20:10 Learning Model

Abstract

This research aims to investigate the competency development requirements of personnel in business organizations worldwide, aligned with the six aspects of the KAPSPoB conceptual framework, and to develop a personnel competency development model for the communication industry. This qualitative research employed document analysis and research synthesis methods, utilizing data from the World Economic Forum Report 2025 and related literature.

The findings revealed that competency needs in the AI Transformation era, categorized by the KAPSPoB framework, consist of: 1) Knowledge: Focusing on the “Twin Transition” of advanced technology and sustainability; 2) Attitude: Emphasizing resilience and a growth mindset; 3) Practice: Highlighting AI-Augmented practice; 4) Skill: Identifying analytical thinking as the most critical skill; 5) Potential: Focusing on redeployment potential; and 6) Behavior: Prioritizing Diversity, Equity, and Inclusion (DEI) and well-being. Furthermore, the researchers proposed a competency development model for the Thai communication industry categorized into three levels: 1) Executive Level: Focusing on strategic and ethical transformation leadership; 2) Creative & Practitioner Level: Focusing on innovation storytelling and fact-verification; and 3) General User Level: Focusing on tech-enabled operational support. The development process integrates the 70:20:10 learning model, prioritizing 70% experiential learning to ensure sustainable competency transformation aligned with industry dynamics.

References

ธิติพัฒน์ เอี่ยมนิรันดร์. (2567). KAPSPoB Model แนวคิดการพัฒนาสมรรถนะของคนแบบองค์รวม. มหาวิทยาลัยสุโขทัยธรรมาธิราช.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T

Anderson, L. W., & Krathwohl, D. R. (2001). A Taxonomy for Learning, Teaching and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives: Complete Edition. Longman.

Brundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., ... & Anderljung, M. (2020). Toward trustworthy AI development: mechanisms for supporting verifiable claims. arXiv:2004.07213. https://doi.org/10.48550/arXiv.2004.07213

Chukwu, U. O. (2025). Examining the impact of diversity, equity, and inclusion initiatives on employee satisfaction and organisational performance. South Asian Journal of Social Studies and Economics, 22(8), 358-369. https://hal.science/hal-05207531v1

Dataxet. (2024, December 9). Thailand Media Landscape 2025: Opportunities and Challenges Ahead. https://www.dataxet.co/media-landscape/2025-en

DEPA. (2025). เทคโนโลยี AI มีผลกระทบต่อการจ้างงานหรือไม่. https://www.depa.or.th/th/article-view/ai-employment

Dreyfus, S. E., & Dreyfus, H. L. (1980). A five-stage model of the mental activities involved in directed skill acquisition (No. ORC802). University of California, Berkeley, Operations Research Center. https://apps.dtic.mil/sti/tr/pdf/ADA084551.pdf

Dweck, C. S. (2006). Mindset: The new psychology of success. Random house.

Hasan, M., Haque, M. A., Nishat, S. S., & Hossain, M. M. (2024). Upskilling and reskilling in a rapidly changing job market: Strategies for organizations to maintain workforce agility and adaptability. European Journal of Business and Management Research, 9(6), 118-126. https://doi.org/10.24018/ejbmr.2024.9.6.2502

Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business horizons, 61(4), 577-586. https://doi.org/10.1016/j.bushor.2018.03.007

Jenosize. (2025). AI Transformation จุดเปลี่ยนสำคัญที่องค์กรยุคใหม่ต้องปรับตัว. https://www.jenosize.com/th/ideas/transformation-and-technology/ai-transformation-business-empowerment

Kajewski, K., & Madsen, V. (2013). Demystifying 70:20:10 White Paper. DeakinPrime.

Kolb, D. A. (1984). Experiential learning. Prentice-Hall.

LinkedIn. (2024). Global Green Skills Report 2024. LinkedIn Economic Graph.

Lombardo, M. M., & Eichinger, R. W. (1996). The career architect development planner. Lominger.

McCauley, C. D., Moxley, R. S., & VanVelsor, E. (1998). The center for creative leadership handbook of leadership development. Jossey-Bass.

Mezirow, J. (2000). Learning as transformation: Critical perspectives on a theory in progress. Jossey-Bass.

Muench, S., Stoermer, E., Jensen, K., Asikainen, T., Salvi, M., & Scapolo, F. (2022). Towards a green & digital future. Office of the European Union.

Sow, M., & Aborbie, S. (2018). Impact of leadership on digital transformation. Business and Economic Research, 8(3), 139-148. https://doi.org/10.5296/ber.v8i3.13368

University of San Diego. (2025). The impact of AI on the job market and employment opportunities. https://onlinedegrees.sandiego.edu/ai-impact-on-job-market/

World Economic Forum. (2023, April 30). The Future of Jobs Report 2023. https://www.weforum.org/publications/the-future-of-jobs-report-2023/

World Economic Forum. (2025, January 7). The Future of Jobs Report 2025. https://www.weforum.org/publications/the-future-of-jobs-report-2025/

Downloads

Published

2025-12-24

How to Cite

Iamnirun, T., & Khunsiri, W. (2025). DEVELOPMENT OF WORKFORCE COMPETENCIES IN THE COMMUNICATION INDUSTRY THROUGH THE KAPSPOB MODEL. Social Science Journal of Prachachuen Research Network, 7(3), 47–61. retrieved from https://so03.tci-thaijo.org/index.php/prn/article/view/289484

Issue

Section

Research Articles