Affiliation:
1. Logistics Management Department, College of Management Science, Chengdu University of Technology, Chengdu 610059, China
Abstract
Nowadays, the importance of logistics management has been increasingly realized in industry and society. However, current educational approaches in logistics management seem unable to effectively equip students with the necessary skills to cope with practical issues after graduation. Recently, contest-based education has attracted logistics management educators’ attention, but how it can be effectively utilized in this discipline is largely unclear. To fill this gap, this study followed a system approach and analyzed the factors influencing student performance in logistics management contests in China using interpretive structural modelling (ISM) and Matrice d’ Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC). The results suggest that the driving forces for improving student performance in contests are the instructors’ encouragement and their previous experience in instructing contests. Also, the contestants’ previous experience in academic contests, team leadership, and effectiveness of communication between instructors and contestants are critical influencing factors. Based on the results, the educational strategies for effective utilization of contest-based education in logistics management are discussed. This study contributes to the existing literature by using a system modeling approach to clarify the mechanisms of contest-based education adoption in logistics management as well as informing university teachers and higher education institutes about strategies to improve their education quality.
Funder
Chinese Society of Logistics
Teaching Steering Committee for Logistics Management and Engineering Specialties of Higher Education Institutions of the Ministry of Education
Teaching Steering Committee of National Logistics Vocational Education
Chengdu University of Technology
Chengdu Philosophy and Social Research Base-Chengdu Park Urban Demonstration Area Construction Research Center
Chengdu University of Technology Yibin campus
Reference48 articles.
1. Singh, M., Jauhar, S.K., Pant, M., and Paul, S.K. (2023). Modeling third-party reverse logistics for healthcare waste recycling in the post-pandemic era. Int. J. Prod. Res., 1–36.
2. Challenges for logistics education in Industry 4.0;Wisniewski;Advances in Human Factors in Training, Education, and Learning Sciences: Proceedings of the AHFE 2018 International Conference on Human Factors in Training, Education, and Learning Sciences, Orlando, Florida, USA, 21–25 July 2018,2019
3. Teaching Supply Chain Management using a modified Beer Game: An action learning approach;Lau;Int. J. Logist. Res. Appl.,2015
4. Logistics education: A look at the current state of the art and science;Lutz;Supply Chain Manag. Int. J.,2013
5. Ammouriova, M., Bertolini, M., Castaneda, J., Juan, A.A., and Neroni, M. (2022). A heuristic-based simulation for an education process to learn about optimization applications in logistics and Transportation. Mathematics, 10.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献