Perceptions of Undergraduate Logistics Students on Knowledge of Logistics: A Case of Private University in Malaysia

Authors

  • Ji Mun Leow UCSI University, UCSI Heights, 1, Jalan Puncak Menara Gading, Taman Connaught, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur
  • Pei Shan Liew UCSI University, UCSI Heights, 1, Jalan Puncak Menara Gading, Taman Connaught, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur
  • Dazmin Daud UCSI University, UCSI Heights, 1, Jalan Puncak Menara Gading, Taman Connaught, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur
  • Nursyamilah Annuar Universiti Teknologi MARA, Cawangan Perlis, Kampus Arau, 02600 Arau, Perlis

Keywords:

Aptitude, Environment, Instruction, Logistics Knowledge, Theory of Education Productivity

Abstract

The demand for logistics is increasing rapidly these days, thus the knowledge of logistics plays an
important role. There are many types of businesses involving logistic activities which require competent
logisticians. Students who graduate from logistics or supply chain programmes are expected to have
the knowledge of logistics when they work and later become competent. There is a gap where logistics
programmes at higher education institutions need relevant curriculum so that the graduates excel not
only in theory but also in practical subjects. This research paper aims to explore the perceptions of
undergraduate students on the knowledge of logistics in a Malaysian private university. A Theory of
Education Productivity is adopted as guidance in the study. Three independent factors are derived from
the theory, namely aptitude, instruction and environment. Using non-probability sampling and
regression analysis, these three factors have an influence on the knowledge of logistics for
undergraduates. The findings show that all independent variables for this study have a significant
impact on the knowledge of logistics. Implications from the findings are also discussed.

References

Adunola, O. (2011). The impact of teachers’ teaching methods on the academic performance of primaryschool pupils in Ijebu-Ode local cut area of Ogun State, Ego Booster Books, Ogun State, Nigeria.

Alhija, F. N.-A. (2017). Teaching in higher education: good teaching through students’ lens. Studies in Educational Evaluation, 54, 4–12. Doi: 10.1016/j.stueduc.2016.10.006

Alzobiani, I. (2020). The qualities of effective teachers as perceived by Saudi EFL students andteachers. English Language Teaching, 13(2), 32-47.

Al-Zu’be, A. F. M. (2013). The difference between the learner-centred approach and the teachercentred approach in teaching English as a foreign language. Educational Research International,2(2), 24–31.

Backer, L.D., Van Keer, H. & Valcke, M. (2012). Exploring the potential impact of reciprocal tutoringon higher education students’ metacognitive knowledge and regulation. Instructional Science,40, 559-588. Doi: 10.1007/s11251-011-9190-5

Bal-Tastan, S., Davoudi, S.M.M., Masalimova, A.R., Bersanov, A.S., Kurbanov, R.A., Boiarchuk, A.& Pavlushin, A.A. (2018). The impacts of teacher’s efficacy and motivation on student’s academic achievement in science education among secondary and high school students. EURASIA Journal of Mathematics, Science and Technology Education, 14(6), 2353-2366. Doi:https://doi.org/10.29333/ejmste/89579

Barmola, K.C. (2013). Aptitude and academic performance of adolescents. International Journal of Research in Social Sciences. 3(4). 372-382.

Beinke, T., Alla, A. A., & Freitag, M. (2017). Resource sharing in the logistics of the offshore windfarm installation process based on a simulation study. International Journal of e-Navigation and Maritime Economy, 7, 42–54. Doi: 10.1016/j.enavi.2017.06.005

Bennett, S., Agostinho, S., & Lockyer, L. (2015). Technology tools to support learning design: Implications derived from an investigation of university teachers design practices. Computers & Education, 81, 211–220. Doi: 10.1016/j.compedu.2014.10.016

Brouwer, J., Jansen, E., Hofman, A., & Flache, A. (2016). Early tracking or finally leaving? Determinants of early study success in first-year university students. Research in Post- Compulsory Education, 21(4), 376–393. Doi: 10.1080/13596748.2016.1226584

Castro, M., Exposito-Casas, E., Lopez-Martin, E., Lizasoain, L., Navarro-Asencio, E. & Gaviria, J.L.(2015). Parental involvement on student academic achievement: A meta-analysis. Educational Research Review, 14, 33-46. Doi: https://doi.org/10.1016/j.edurev.2015.01.002

Chinnaraj, A. and Tamilselvan, N. (2016). Information search pattern of medical professionals in digitalenvironment: A survey of selected colleges in Coimbatore. International Journal of Library & Information Science (IJLIS). Vol. 5(3). 85–90, Article ID: IJLIS_05_03_007. Available onlineat. http://www.iaeme.com/IJLIS/issues.asp

Chu, S.K.W, Ravana, S.D., Mok, S.S.W. & Chan, R.C.H. (2019). Behavior, perceptions and learningexperience of undergraduates using social technologies during internship. Educational Technology Research and Development, 67, 881-906. Doi: https://doi.org/10.1007/s11423-018-9638-2

Creswell, J., (2003). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Thousand Oaks, California: Sage Publications.

Daud, D. (2012). Collaboration for logistics education in Malaysia. Retrieved fromhttp://eprints.usm.my/34641/1/BULLETIN_13_PART_7.pdf

Doumen, S., Broeckmans, J., & Masui, C. (2014). The role of self-study time in freshmen’sachievement. Educational Psychology, 34(3), 385–402. Doi: 10.1080/01443410.2013.785063

Dzulkifly, D. (2018, November 8). Employers blame poor communication, language skills forunemployed Bumi grads: Malay Mail. Retrieved fromhttps://www.malaymail.com/news/malaysia/2018/11/08/employers-blame-poorcommunication-language-skills-for-unemployed-bumi-grad/1691146

Etter, J. (2015). Characteristics of users and usage of different types of electronic cigarettes: findingsfrom an online survey, 111(4), 724-733. Doi: https://doi.org/10.1111/add.13240

Forster, A.G. & van de Werfhorst, H.G. (2019). Navigating institutions: Parents’ knowledge of theeducational students’ success in education. European Sociological Review, 36(1), 48-64. Doi: https://doi.org/10.1093/esr/jcz049

Fu, H. (2017). Integration of logistics simulation technology and logistics learning factory in a twostage teaching method for logistics management courses. International Journal of Emerging Technologies in Learning (IJET), 12(09), 62-72. Doi: 10.3991/ijet.v12i09.7485

Gangadhar, KC, Nagaraja, A, Vasanthakumar, M (2017) Present library automation status: open-sourcelibrary software-an opportunity or threat? International Journal of Library and Information Science 6(1): 56–66.

Gravier, M. & Farris, M.T. (2008). An analysis of logistics pedagogical literature: Past and future trendsin curriculum, content, and pedagogy. The International Journal of Logistics Management, 19(2),233-253. Doi: https://doi.org/10.1108/09574090810895979

Hénard, F., & Roseveare, D. (2012). Fostering quality teaching in higher education: Policies andpractices. Paris: OECD.

Hightower, A. M., Delgado, R. C., Lloyd, S. C., Wittenstein, R., Sellers, K., & Swanson, C. B. (2011). Improving student learning by supporting quality teaching. Doi: https://epe.brightspotcdn.com/96/bd/c7ea3e084ade93466ae02042ba7d/eperc-qualityteaching12.11.pdf

Hussin, N.H. & Tamuri, A.H. (2019). Embedding values in teaching Islamic education among excellentteachers. Journal for Multicultural Education, 13(1), 2-18. Doi: https://doi.org/10.1108/JME-07-2017-0040

Hynie, M., Jensen, K., Johnny, M., Wedlock, J.& Phipps, D. (2011). Student internships bridge researchto real world problems, Education + Training, Vol. 53(1), 45-56. Doi:https://doi.org/10.1108/00400911111102351

Ibrahim, M. M., Arshad, M. Y., Rosli, M. S., & A.shukor, N. (2017). The roles of teacher and studentsin self-directed learning process through blended problem-based learning. Sains Humanika, 9(1-4). Doi: 10.11113/sh. v9n1-4.1121

Jalani, N. H., & Sern, L. C. (2015). Efficiency comparisons between example-problem-based learningand teacher-centered learning in the teaching of Circuit Theory. Procedia Social and Behavioral Sciences, 204, 153–163. Doi: 10.1016/j.sbspro.2015.08.128

Kubina, R.M. Jr. & Morrison, R.S. (2000). Fluency in education. Behavior and Social Issues, 10, 83-99. Doi: https://doi.org/10.5210/bsi.v10i0.133

Kuterbach, J. M. (2013). A model of academic enablers and academic performance amongpostsecondary learners. The Pennsylvania State University.

Lei, J. (2010). Quantity versus quality: A new approach to examine the relationship between technologyuse and student outcomes. British Journal of Educational Technology, 41(3), 455–472. Doi:10.1111/j.1467-8535.2009.00961.x

Milun, T, Mardešić, J and Kovač, G (2016). Do gender and age impact student success? Proceeding: Contemporary Issues in Economy & Technology (CIET2016), S198-S208.www.paper.researchbib.com/view/paper/88516

Mohammad, A., Abraham, B., & Singh, J. (2011). Attitude of college students towards physicaleducation and sports. International Journal of Physical Education, 4(1), 45-52.

Munkácsi, A., & Kazai-Ónodi, A. (2018). Challenges and methods of the 21st century in logisticseducation. Some Recent Research from Economics and Business Studies, International Research Institute, Komárno, 211-222.

Nasser-Abu Alhija (2017). Teaching in higher education: Good teaching through students’ lens. Studiesin Educational Evaluation, 54, 4-12. Doi: https://doi.org/10.1016/j.stueduc.2016.10.006

Omodan, B.I. (2022). The potency of social constructivism on classroom productivity in universities. Studies in Learning and Teaching, 3(1), 1-10. Doi: https://doi.org/10.46627/silet

Opdecam, E., Everaert, P., Keer, H. V., & Buysschaert, F. (2014). Preferences for team learning andlecture-based learning among first-year undergraduate accounting students. Research in Higher Education, 55, 400-432. Doi: 10.1007/s11162-013-9315-6

Peklaj, C. (2015). Teacher competencies through the prism of educational research. Center for Educational Policy Studies Journal, 5(3). Available online; Doi:https://doi.org/10.26529/cepsj.134

Pellizzari, M., & Billari, F. (2012). The younger, the better? Age-related differences in academicperformance at university. Journal of Population Economics, 25, 697-739. Doi:https://doi.org/10.1007/s00148-011-0379-3

Ruan, X., Zhou, J., Tu, H., Jin, Z., & Shi, X. (2017). An improved cellular automaton with axisinformation for microscopic traffic simulation. Transportation Research Part C: Emerging Technologies, 78, 63–77. Doi: 10.1016/j.trc.2017.02.023

Russell, R., & Startup, M. (1986). Month of birth and academic achievement. Personality and Individual Differences, 7(6), 839-846. Doi: https://doi.org/10.1016/0191-8869(86)90082-6

Stevens, S., Mills, R. & Kuchel, L. (2019). Teaching communication in general science degrees: Highlyvalued but missing the mark. Assessment & Evaluation in Higher Education, 44(8), 1163-1176. Doi: https://doi.org/10.1080/02602938.2019.1578861

Trautrims, A. Defee, C. & Farris, T. (2016). Preparing business students for workplace reality – usingglobal virtual teams in logistics and SCM education. The International Journal of Logistics Management, 27(3), 886-907. Doi: https://doi.org/10.1108/IJLM-01-2015-0003

Walberg, H., Fraser, B. and Welch, W. (1986). A test of a Model of Educational Productivity among Senior High School Students. The Journal of Educational Research, 79(3), 133-139. Doi:https://doi.org/10.1080/00220671.1986.10885664

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Published

2025-08-04