With Blended Learning Information Operational System Design in Response to Globalized Logistics Talent Training

  • Li-Yang HsiehEmail author
  • Yang-Jui Lu
  • Hsiang-Sheng Lin
  • Yao-Hsien Lee
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)


With globalization of the economy and trade, information networks and technology application trends, and the emergence of e-global logistic industries and integrated value-added services, the ability to apply technology to logistics talent has become crucial to vocational training. Faced with a logistics talent shortage caused by expansion of the logistics market, enhancing the quality and quantity of logistics talent is necessary. This research used the concept of originality planning to design and propose an integration of the application systems, such as ERP, WMS, FMS, CCS, TMS, and GPS, used by trade industries, shipping companies, airline companies, sea and air freight forwarders, customs brokers, container industries, and transport industries with the EIP service. Therefore, a global logistics management system framework is constructed according to the vocational training of logistics talent, providing practical operating procedures and a creative vocational training blended learning environment.


Logistics talent Vocational training Global logistics management system Blended learning 


  1. 1.
    Yang JC, Yang WD (2005) A case study of international freight forwarder to operate business logistics strategy. Graduate Institute of Management, National Taiwan University of Science and Technology (Unpublished Master’s thesis)Google Scholar
  2. 2.
    Chou CF, HO YC (2003). A study on the global logistics and international logistic center—case study to Taiwan enterprise. MBA Business Administration of National Central University (Unpublished Master’s thesis)Google Scholar
  3. 3.
    Lin H-S, Hsieh L-Y (2010) Joint training strategy for cross-strait logistics talent in the ECFA era. Mater Handl Mag Mod Logist 46:44–48Google Scholar
  4. 4.
    Marsh J (2001) How to design effective blended learning, T J Taylor.
  5. 5.
    Smith JM (2001) Blended learning: an old friend gets a new name, Executive Update. [Online]
  6. 6.
    Singh H (2003) Building effective blended learning programs. Educ Technol 43:51–54Google Scholar
  7. 7.
    Derntl M, Motschning-Pitrik R (2005) The role of structure, patterns, and people in blended learning. Internet High Educ 8:111–130CrossRefGoogle Scholar
  8. 8.
    Osguthorpe RT, Graham CR (2003) Blended learning environments: definitions and directions. Q Rev Distance Educ 4:227–233Google Scholar
  9. 9.
    Hong HF (2003) A study of using e-learning workshop to help elementary mathematics teachers to improve their teachings: a case study under the K12 digital school project. Graduate Institute of Mathematics and Science Education. National Ping-tung University of Education (Unpublished Master’s thesis)Google Scholar
  10. 10.
    Dziuban CD, Hartman JH, Moskal PD (2004) Blending learning. Educ Center Appl Res Bulletin 7:1–12Google Scholar
  11. 11.
    Aspden L, Helm P (2004) Marking the connection in a blended learning environment. Educ Media Int 41:245–252Google Scholar
  12. 12.
    Terashima K, Ikai R, Yoshida Y, Kamei M, Kubota K (2004) Blended learning model for multimedia production course. In: World conference on educational multimedia, hypermedia and telecommunicationsGoogle Scholar
  13. 13.
    Tsai YW (2009) Blended learning via blogging: the impact of blog-assisted instruction on learning satisfaction. Department of Communication, National Chung Cheng University (Unpublished Master’s thesis)Google Scholar
  14. 14.
    Wu JH, Tennyson RD, Hsia TL (2010) A study of student satisfaction in a blended e-learning system environment. J Comput Educ 55:155–164Google Scholar
  15. 15.
    Chen YL, Zheng SH (2010) Digital learning and virtual community in adult education: a study of behavioral intention in blended learning. J Inf Manag 17:177–196MathSciNetGoogle Scholar
  16. 16.
    Wu YR (2011) Effects of learning styles and class participation on civil servants blended learning outcomes. National Taiwan University of Science and Technology (Unpublished Master’s thesis)Google Scholar
  17. 17.
    Liu CW (2012) Blended learning’s model, interfere with the relationship between factors and results. Takming University of Science and Technology (Unpublished Master’s thesis)Google Scholar
  18. 18.
    Ministry of Economic Affairs (2006) Taiwanese Logistics Almanac 2006, pp 371–393Google Scholar
  19. 19.
    Council of Labor Affairs (2011) Vocational Training Act. Accessed June 2011
  20. 20.
    Kim BO, Lee SM (1996) Logistics information’s role within an IT systems architecture in a world-class organization. Logist Inf Manag 9(3):19–26CrossRefGoogle Scholar
  21. 21.
    Fanak S (1996) The importance of information flow within the supply chain. Logist Inf Manag 9(4):28–30CrossRefGoogle Scholar
  22. 22.
    Lin LC, Chang YF (2004) Discussion on the information system framework of supply chain management. Mater Handl Logist 21:66–72Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Li-Yang Hsieh
    • 1
    Email author
  • Yang-Jui Lu
    • 1
  • Hsiang-Sheng Lin
    • 2
  • Yao-Hsien Lee
    • 2
  1. 1.China University of TechnologyTaipeiTaiwan
  2. 2.Chung Hua UniversityHsinchuTaiwan

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