Analysis of the Factors Influencing the Quality of Logistics Talent Training in Vocational College in Zhejiang Province, with the application of PDCA Quality Management Theory in the Theoretical
Keywords:
Logistics, Talent training, Curriculum, Faculty expertise, PDCA modelAbstract
The study investigates elements that influence the quality of logistics talent training in vocational institutions in Zhejiang Province as influenced by the PDCA model. The study aims to provide ideas for improving training and aligning it with industry priorities. A quantitative research approach is used in this study. The questionnaires were delivered to 50 students and 20 professors from various vocational colleges in Zhejiang Province. The goal is to understand the acquired data and evaluate them through SPS. The descriptive statistics and correlations helped establish the trends in the data. The study established a strong correlation among variables like curriculum design, faculty qualification, technological integration, and practical training. The difficulties connected with implementing the PDCA model in the vocational training environment are evident in the mixed perspectives on its efficiency. The study suggests improving the curriculum to meet industry expectations and prioritizing faculty development, including providing enough funding and infrastructure improvements. Promoting student participation and encouraging practical training experiences through interactive learning approaches can improve logistics talent training in vocational colleges. Also, resolving the problems associated with adopting the PDCA model is critical for realizing its potential benefits in training.
References
Adel, A. (2022). Future of industry 5.0 in society: Human-centric solutions, challenges and prospective research areas. Journal of Cloud Computing, 11(1), 1-15.
Ariyani, W. D., & Kosasih, F. (2022). Internal Quality Assurance Management To Improve Graduate Absorption. International Journal Of Humanities Education and Social Sciences (IJHESS), 1(4).
Burlakova, I. I., Anisimova, L. N., Chibirev, S. A., Demidov, V. A., & Kolpakov, M. V. Building Quality Management System For Student Vocational Training Based On Technological Approach. European Proceedings of Social and Behavioural Sciences.
China.org.cn (2022, March 22). China Through a Lens. Statista. Retrieved November 7,2023,fromhttp://www.china.org.cn/english/TCC/haixia/48116.htm#:~:text=With%20the%20ports%20in%20Ningbo,handling%20capacity%20of%20270%20tons.
Chiu, T. K. (2023). Student engagement in K-12 online learning amid COVID-19: A qualitative approach from a self-determination theory perspective. Interactive learning environments, 31(6), 3326-3339.
Guo, L., Huang, J., & Zhang, Y. (2019). Education development in China: Education return, quality, and equity. Sustainability, 11(13), 3750.
Habibie, M. H., & Kresiani, R. H. (2019, August). Implementation of PDCA Cycle in Calibration and Testing Laboratory Based on ISO/IEC 17025: 2017. In IOP Conference Series: Materials Science and Engineering (Vol. 598, No. 1, p. 012108). IOP Publishing.
Hu, Q., Yu, H., Wu, H., & Chen, J. (2023). Impacts of cognitive and social distances on supply chain capability: the moderating effect of information technology utilization. The International Journal of Logistics Management.
Isniah, S., Purba, H. H., & Debora, F. (2020). Plan do check action (PDCA) method: literature review and research issues. Jurnal Sistem dan Manajemen Industri, 4(1), 72-81.
Lo, L. N. (2021). Teachers and teaching in China: A critical reflection. Policy, Teacher Education and the Quality of Teachers and Teaching, 53-73.
Msibi, K. J. (2021). Technical, Vocational Education and Training (TVET) industry stakeholders’ involvement in curriculum implementation In South Africa (Doctoral dissertation).
Pang, T. Y., Lee, T. K., & Murshed, M. (2023). Towards a New Paradigm for Digital Health Training and Education in Australia: Exploring the Implication of the Fifth Industrial Revolution. Applied Sciences, 13(11), 6854.
Papapanou, M., Routsi, E., Tsamakis, K., Fotis, L., Marinos, G., Lidoriki, I., ... & Schizas, D. (2022). Medical education challenges and innovations during COVID-19 pandemic. Postgraduate medical journal, 98(1159), 321-327.
Piróg, D., & Hibszer, A. (2023). Utilising the potential of job postings for auditing learning outcomes and improving graduates' chances on the labour market. Higher Education Quarterly.
PwC CN (2023, February 15). China M&A trends of Logistics industry: 2022 Review and 2023 Outlook. Retrieved November 7, 2023, from https://www.pwccn.com/en/industries/transportation-and-logistics/publications/china-ma-jun2023.html
Roper, M., & Rooney, K. (2023). The Model for Improvement: A Tool to Drive Perioperative Improvement. In Perioperative Quality Improvement (pp. 131-136). Elsevier.
Sheikh, R. A., Bhatia, S., Metre, S. G., & Faqihi, A. Y. A. (2022). Strategic value realization framework from learning analytics: a practical approach. Journal of Applied Research in Higher Education, 14(2), 693-713.
Tang, Y. M., Ho, G. T. S., Lau, Y. Y., & Tsui, S. Y. (2022). Integrated smart warehouse and manufacturing management with demand forecasting in small-scale cyclical industries. Machines, 10(6), 472.
Textor, C (2023, February 28). Gross domestic product (GDP) of Zhejiang province, China from 2012 to 2022. Statista. Retrieved November 7, 2023, from https://www.statista.com/statistics/1092992/china-gross-domestic-product-of-zhejiangprovince/#:~:text=In%202022%2C%20the%20gross%20domestic,south%20of%20the%20Shanghai%20municipality.
Wu, M., Kozanoglu, D. C., Min, C., & Zhang, Y. (2021). Unraveling the capabilities that enable digital transformation: A data-driven methodology and the case of artificial intelligence. Advanced Engineering Informatics, 50, 101368.
Xu, W., & Ouyang, F. (2022). The application of AI technologies in STEM education: a systematic review from 2011 to 2021. International Journal of STEM Education, 9(1), 1-20.
Yang, Y., & Chia, Y. T. (2023). Reflection on China’s higher vocational education entrance examination: lessons from the imperial examination in modern China. Asia Pacific Education Review, 1-12.
Zheng, Q., Li, Y., Min, T., Chen, F., & Liu, K. (2022). Spatial structures and driving factors of express logistics networks between urban agglomerations in China. International Journal of Logistics Research and Applications, 1-21.
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Copyright (c) 2023 Lihong Luo, Vincent Wee Eng Kim
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Published by University Tun Abdul Razak (UNIRAZAK)
