Methodological Competency Gaps among Robotic Engineering Technology Graduates in Malaysia’s Automotive Manufacturing Industry

Authors

Nur Ain Binti Md Lukmanul Hakim

Faculty of Educational Sciences and Technology, Universiti Teknologi (Malaysia)

Mohamad Rasidi Pairan

Faculty of Educational Sciences and Technology, Universiti Teknologi (Malaysia)

Mohamad Ikram Zakaria

Faculty of Educational Sciences and Technology, Universiti Teknologi (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.1026EDU0055

Subject Category: Education

Volume/Issue: 10/26 | Page No: 666-674

Publication Timeline

Submitted: 2026-01-19

Accepted: 2026-01-25

Published: 2026-02-04

Abstract

The Malaysian Critical Occupations List 2019/2020 published by Talent Corporation Malaysia identifies industrial and production engineers including robotics engineers and technologists as hard to fill occupations within the manufacturing sector. Although the report attributes this challenge to limited experience and inadequate technical skills the deeper causes of these workforce gaps remain insufficiently examined within the industry context. This study aims to empirically validate and contextualize the findings by investigating methodological competency issues among robotics engineering technology graduates employed in Malaysia’s automotive manufacturing industry. A qualitative research design was adopted utilizing semi structured interviews with five industry experts representing three major automotive manufacturing companies. Data were analysed using thematic analysis to identify patterns and insights related to graduates workplace performance and skill readiness. The analysis revealed nine recurring methodological competency issues which include weak problem solving ability, lack of critical thinking, unsystematic task execution, limited project management competency, difficulty in applying theoretical concepts, low technical proficiency, overdependence on supervision, weak mental resilience, and insufficient real world industrial exposure. Overall the findings indicate that the hard to fill status of robotic engineering technologist positions is driven largely by methodological competency gaps particularly in systematic problem solving, critical judgment, and structured task execution alongside foundational technical and workplace adaptation challenges.

Keywords

Methodological Competency; Robotic Engineering Technologist; Automotive Manufacturing; Industry 4.0; Malaysia

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References

1. Ba Qatyan, A., & Bin, Z. (2022, 10/19). Toward the Adoption of Industry 4.0: The Skills of the Civil Engineering Workforce Relevant to the Fourth Industrial Revolution. International Journal of Academic Research in Business and Social Sciences, 12. https://doi.org/10.6007/IJARBSS/v12-i10/15368 [Google Scholar] [Crossref]

2. Barbieri, L., Mussida, C., Piva, M., & Vivarelli, M. (2019). Testing the employment impact of automation, robots and AI: a survey and some methodological issues. [Google Scholar] [Crossref]

3. Beagon, U., & Bowe, B. (2023, 09/27). Understanding professional skills in engineering education: A phenomenographic study of faculty conceptions. Journal of Engineering Education, 112, 1109-1144. https://doi.org/10.1002/jee.20556 [Google Scholar] [Crossref]

4. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101. [Google Scholar] [Crossref]

5. Cain, K., & Coldwell-Neilson, J. (2024). Digital fluency–a dynamic capability continuum. Australasian Journal of Educational Technology, 40(1), 42-56. https://ajet.org.au/index.php/AJET/article/view/8363 [Google Scholar] [Crossref]

6. Cao, H., & Choudhary, P. (2023). Agile Transformation in the Automotive Industry: A Case Study of Volvo Trucks. https://www.diva-portal.org/smash/get/diva2:1774050/FULLTEXT01.pdf [Google Scholar] [Crossref]

7. Caton, A., Bradshaw-Ward, D., Kinshuk, K., & Savenye, W. (2022). Future directions for digital literacy fluency using cognitive flexibility research: A review of selected digital literacy paradigms and theoretical frameworks. Journal of Learning for Development, 9(3), 381-393. https://jl4d.org/index.php/ejl4d/article/view/818/851 [Google Scholar] [Crossref]

8. Gen, T. Z., Kuen, D. C. Y., Rao, V. M., & Lima-de-Oliveira, R. (2025). Industry 4.0 technology adoption in Malaysian manufacturing: strategies for enhancing competitiveness. [Google Scholar] [Crossref]

9. Hadibarata, T., Hidayat, T., & Kwabena, J. (2023). Problem based learning in engineering course in Malaysia. Acta Pedagogia Asiana, 2(2), 95-105. [Google Scholar] [Crossref]

10. Islam, M. A. (2022, 2022/01/01/). Industry 4.0: Skill set for employability. Social Sciences & Humanities Open, 6(1), 100280. https://doi.org/https://doi.org/10.1016/j.ssaho.2022.100280 [Google Scholar] [Crossref]

11. Ismaili, B., Bakkali, S., & Benriyene, S. (2025). The Employability of Engineers in the Era of Industry 4.0. Engineering Proceedings, 97(1), 35. [Google Scholar] [Crossref]

12. Ito, A. (2023). Root cause analysis for resilient production systems Chalmers Tekniska Hogskola (Sweden)]. https://research.chalmers.se/publication/535407/file/535407_Fulltext.pdf [Google Scholar] [Crossref]

13. Jery, T., Ma'rof, A. A., & Rosnon, M. R. (2024, 12/07). The Impact of Industrial Training on Career Challenges and Motivations among Malaysian Public Universities Students. International Journal of Academic Research in Business and Social Sciences, 14. [Google Scholar] [Crossref]

14. https://doi.org/10.6007/IJARBSS/v14i12/24000 [Google Scholar] [Crossref]

15. Jessica Anne, A., Alexander, P., & Punadi, R. P. (2025). Adoption of Artificial Intelligent Driven Smart Inspection System at H Automotive Manufacturing Industry in Selangor. [Google Scholar] [Crossref]

16. Karwowski, W., Salvendy, G., Albert, L., Kim, W., Denton, B., Dessouky, M., Dolgui, A., Duffy, V., Kumara, S., Li, J., Madni, A., McGinnis, L., Rouse, W., Shamma, J., Shen, M., Simchi-levi, D., Swann, [Google Scholar] [Crossref]

17. J., & Tiwari, M. (2025, 01/17). Grand challenges in industrial and systems engineering. International Journal of Production Research, 63, 1-46. https://doi.org/10.1080/00207543.2024.2432463 [Google Scholar] [Crossref]

18. Khan, S. H., & Mourad, A. H. I. (2025, 2025/12/31). Integrating Industry 4.0 in engineering education: implementation patterns, pedagogical strategies, and industry alignment. Cogent Education, 12(1), 2588010. https://doi.org/10.1080/2331186X.2025.2588010 [Google Scholar] [Crossref]

19. Lijie, H., Mat Yusoff, S., & Mohamad Marzaini, A. F. (2025). Influence of AI-driven educational tools on critical thinking dispositions among university students in Malaysia: a study of key factors and correlations. Education and Information Technologies, 30(6), 8029-8053. [Google Scholar] [Crossref]

20. Moo, K. H., & Da Wan, C. (2023). Graduate Employability in Malaysia: Unpacking the Concept, Policy and Practices. IIUM Journal of Educational Studies, 11(2), 3-25. https://journals.iium.edu.my/ijes/index.php/iejs/article/view/471 [Google Scholar] [Crossref]

21. Muhamad, N., Ab Gani, N., Uyob, S., & Saruji, S. C. (2019). Students’ Critical Thinking Skills and Awareness of Industry 4.0: A Preliminary Study. Journal of Human Development and Communication (JoHDeC), 8, 13-22. [Google Scholar] [Crossref]

22. Nikolić, N., Djapan, M., Damjanović, A., Radenković, M., & Mačužić, I. (2023). Implementation Of Robotics For Lean Manufacturing Improvement. International Journal for Quality Research, 17(4). http://ijqr.net/journal/v17-n4/10.pdf [Google Scholar] [Crossref]

23. Nioata, A., Țăpirdea, A., Chivu, O. R., Feier, A., Enache, I. C., Gheorghe, M., & Borda, C. (2025). Workplace Safety in Industry 4.0 and Beyond: A Case Study on Risk Reduction Through Smart Manufacturing Systems in the Automotive Sector. Safety, 11(2), 50. [Google Scholar] [Crossref]

24. OECD. (2025). OECD Skills Outlook 2025: Building the Skills of the 21st Century for All. https://www.oecd.org/en/publications/oecd-skills-outlook-2025_26163cd3-en.html [Google Scholar] [Crossref]

25. Omar, M. K., Romli, A. H., Azeem, N., & Zakaria, A. (2023). Relationship between career adaptability and employability skills: Towards engineering graduates career development. International Journal of Academic Research in Business and Social Sciences, 13(12), 5026-5039. [Google Scholar] [Crossref]

26. Osman, I., Ibrahim, A., Mohd, I. H., Hashim, M. J. M., & Ahmad, N. N. (2025). Graduate soft skills and employability in Malaysia: The view of employers from different manufacturing companies. Social and Management Research Journal, 22(1), 1-16. [Google Scholar] [Crossref]

27. Petropoulos, F., Akkermans, H., Aksin, O. Z., Ali, I., Babai, M. Z., Barbosa-Povoa, A., ... & Zheng, T. (2026). Operations & supply chain management: principles and practice. International journal of production research, 64(1), 330-513.Phang, F., Zakaria, Z., Addi, M., & Mohd-Yusof, K. (2025, 11/30). Graduate Employability among Engineering Graduates in Malaysian Public Universities. Jurnal Kejuruteraan, 37, 3903-3910. https://doi.org/10.17576/jkukm-2025-37(8)-20 [Google Scholar] [Crossref]

28. Radzi, N. M., & Ghani, M. F. A. (2021). The design of effective school enterprise programme for vocational colleges in malaysia: An application of fuzzy delphi method. MOJEM: Malaysian Online Journal of Educational Management, 9(4), 73-96. [Google Scholar] [Crossref]

29. Rasib, A., Abdullah, R., Wahyono, F., & Ramli, M. (2025). Enhancing manufacturing efficiency: A case study on automotive assembly line balancing techniques for improving production capacity. Journal of Engineering Science and Technology, 20(2), 427-441. [Google Scholar] [Crossref]

30. Rawboon, K., Yamazaki, A. K., Klomklieng, W., & Thanomsub, W. (2021). Future competencies for three demanding careers of industry 4.0: Robotics engineers, data scientists, and food designers. The Journal of Competency‐Based Education, 6(2), e01253. [Google Scholar] [Crossref]

31. Rikala, P., Braun, G., Järvinen, M., Stahre, J., & Hämäläinen, R. (2024, 2024/04/01/). Understanding and measuring skill gaps in Industry 4.0 — A review. Technological Forecasting and Social Change, 201, 123206. https://doi.org/https://doi.org/10.1016/j.techfore.2024.123206 [Google Scholar] [Crossref]

32. Saari, M. Y., Hashim, M. Z. L., Adzman, A. I., Mokhyi, N. A., & Yazid, M. A. N. A.-F. M. (2025). The “Gaji Cukup Makan” Economy – When Higher Education Becomes An Economics Risk. https://euera.org/the-gaji-cukup-makan-economy-when-higher-education-becomes-an-economics-risk/ [Google Scholar] [Crossref]

33. Saleh, H., & Lamsali, H. (2019). Engineering skills: Employer satisfaction among Malaysian graduate engineer. International Journal of Electrical Engineering and Applied Sciences, 2(2), 63-68. [Google Scholar] [Crossref]

34. Sherif, Z., & Salonitis, K. (2025, 2025/11/01). A systematic review of decision tools for process selection and performance improvement in manufacturing. The International Journal of Advanced Manufacturing Technology, 141(3), 1113-1141. https://doi.org/10.1007/s00170-025-16806-y [Google Scholar] [Crossref]

35. Su, M., Ma, L., Zhang, D., Yunusa-Kaltungo, A., & Cheung, C. (2025, 01/26). Exploring Benefits and Concerns of Incorporating Digital Tools into Engineering Education. European Journal of Education and Pedagogy, 6(1), 45-51. https://doi.org/10.24018/ejedu.2025.6.1.909 [Google Scholar] [Crossref]

36. Talent Corporation Malaysia, A., & Committee. (2020). Critical Occupations List 2019/2020 Occupation [Google Scholar] [Crossref]

37. Report. https://www.talentcorp.com.my/clients/TalentCorp_2016_7A6571AE-D9D0-4175-B35D- [Google Scholar] [Crossref]

38. 99EC514F2D24/contentms/img/TalentCorp_CriticalOccupationsList_FullList_2019-2020_V2.pdf [Google Scholar] [Crossref]

39. Vo, B., Kongar, E., & Suárez-Barraza, M. F. (2020). Root-cause problem solving in an Industry 4.0 context. IEEE Engineering Management Review, 48(1), 48-56. [Google Scholar] [Crossref]

40. https://www.scribd.com/document/556252190/Root-Cause-Problem-Solving-in-an-Industry-4-0Context [Google Scholar] [Crossref]

41. Wei, L. C., & Yew, M. P. (2024). The Overeducation Dilemma: Graduate Skill Mismatch In Malaysia's Labour Market. International Journal of Business, Economics and Law, 33(1), 60-66. https://ijbel.com/wp-content/uploads/2024/12/IJBEL31_34.pdf [Google Scholar] [Crossref]

42. World Economic Forum. (2023). The future of jobs report 2023. [Google Scholar] [Crossref]

43. https://www.weforum.org/reports/thefuture-of-jobs-report-2023 [Google Scholar] [Crossref]

44. Zhan, S., Chapman, E., Valentine, A., & Male, S. (2025). Enhancing the measurement of employability in engineering: insights from a systematic literature review. European Journal of Engineering Education, 1-20. [Google Scholar] [Crossref]

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