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Ground Handling Performance Based Clustering for Vietnam Airlines Strategic Management

Received: 18 July 2018    Accepted:     Published: 19 July 2018
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Abstract

Vietnam Airlines (VNA) can add more value to its offerings to pursue differentiation strategy as a competitive advantage by maximizing effectiveness of the ground handling service network it hires. This paper aims at making recommendation to VNA on using a set of managerial tools to monitor and continuously improve its service network being operated at 29 international airports. The tools include cluster analysis, ANOVA and Scheffé post hoc to assist the top managers (1) to have an overview of VNA ground handling service quality at world-wide airports by monitoring the performance of airport clusters instead of an individual airport; (2) to clearly observe its effective and ineffective airport clusters on every certain criterion. With this set, the management board can decide strategic management for ground handling service not only to be more effective and more feasible but also to be in line with marketing strategy to differentiate its offerings to excel in the fierce air industry competition.

Published in International Journal of Business and Economics Research (Volume 7, Issue 3)
DOI 10.11648/j.ijber.20180703.12
Page(s) 55-61
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Cluster Analysis, Performance, Ground Handling, Service Quality, Vietnam Airlines

References
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Cite This Article
  • APA Style

    Tien-Chin Wang, Yen Thi Hong Pham, Huong Thi Mai Truong. (2018). Ground Handling Performance Based Clustering for Vietnam Airlines Strategic Management. International Journal of Business and Economics Research, 7(3), 55-61. https://doi.org/10.11648/j.ijber.20180703.12

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    ACS Style

    Tien-Chin Wang; Yen Thi Hong Pham; Huong Thi Mai Truong. Ground Handling Performance Based Clustering for Vietnam Airlines Strategic Management. Int. J. Bus. Econ. Res. 2018, 7(3), 55-61. doi: 10.11648/j.ijber.20180703.12

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    AMA Style

    Tien-Chin Wang, Yen Thi Hong Pham, Huong Thi Mai Truong. Ground Handling Performance Based Clustering for Vietnam Airlines Strategic Management. Int J Bus Econ Res. 2018;7(3):55-61. doi: 10.11648/j.ijber.20180703.12

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  • @article{10.11648/j.ijber.20180703.12,
      author = {Tien-Chin Wang and Yen Thi Hong Pham and Huong Thi Mai Truong},
      title = {Ground Handling Performance Based Clustering for Vietnam Airlines Strategic Management},
      journal = {International Journal of Business and Economics Research},
      volume = {7},
      number = {3},
      pages = {55-61},
      doi = {10.11648/j.ijber.20180703.12},
      url = {https://doi.org/10.11648/j.ijber.20180703.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20180703.12},
      abstract = {Vietnam Airlines (VNA) can add more value to its offerings to pursue differentiation strategy as a competitive advantage by maximizing effectiveness of the ground handling service network it hires. This paper aims at making recommendation to VNA on using a set of managerial tools to monitor and continuously improve its service network being operated at 29 international airports. The tools include cluster analysis, ANOVA and Scheffé post hoc to assist the top managers (1) to have an overview of VNA ground handling service quality at world-wide airports by monitoring the performance of airport clusters instead of an individual airport; (2) to clearly observe its effective and ineffective airport clusters on every certain criterion. With this set, the management board can decide strategic management for ground handling service not only to be more effective and more feasible but also to be in line with marketing strategy to differentiate its offerings to excel in the fierce air industry competition.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Ground Handling Performance Based Clustering for Vietnam Airlines Strategic Management
    AU  - Tien-Chin Wang
    AU  - Yen Thi Hong Pham
    AU  - Huong Thi Mai Truong
    Y1  - 2018/07/19
    PY  - 2018
    N1  - https://doi.org/10.11648/j.ijber.20180703.12
    DO  - 10.11648/j.ijber.20180703.12
    T2  - International Journal of Business and Economics Research
    JF  - International Journal of Business and Economics Research
    JO  - International Journal of Business and Economics Research
    SP  - 55
    EP  - 61
    PB  - Science Publishing Group
    SN  - 2328-756X
    UR  - https://doi.org/10.11648/j.ijber.20180703.12
    AB  - Vietnam Airlines (VNA) can add more value to its offerings to pursue differentiation strategy as a competitive advantage by maximizing effectiveness of the ground handling service network it hires. This paper aims at making recommendation to VNA on using a set of managerial tools to monitor and continuously improve its service network being operated at 29 international airports. The tools include cluster analysis, ANOVA and Scheffé post hoc to assist the top managers (1) to have an overview of VNA ground handling service quality at world-wide airports by monitoring the performance of airport clusters instead of an individual airport; (2) to clearly observe its effective and ineffective airport clusters on every certain criterion. With this set, the management board can decide strategic management for ground handling service not only to be more effective and more feasible but also to be in line with marketing strategy to differentiate its offerings to excel in the fierce air industry competition.
    VL  - 7
    IS  - 3
    ER  - 

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Author Information
  • Department of International Business, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan

  • Department of International Business, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan; Department of Business English, Foreign Trade University, Hanoi, Vietnam

  • School of Global, Urban and Social Studies, The Royal Melbourne Institute of Technology, Melbourne, Australia

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