Ground Handling Performance Based Clustering for Vietnam Airlines Strategic Management
International Journal of Business and Economics Research
Volume 7, Issue 3, June 2018, Pages: 55-61
Received: Jul. 18, 2018; Published: Jul. 19, 2018
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Authors
Tien-Chin Wang, Department of International Business, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
Yen Thi Hong Pham, Department of International Business, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan; Department of Business English, Foreign Trade University, Hanoi, Vietnam
Huong Thi Mai Truong, School of Global, Urban and Social Studies, The Royal Melbourne Institute of Technology, Melbourne, Australia
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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.
Keywords
Cluster Analysis, Performance, Ground Handling, Service Quality, Vietnam Airlines
To cite this article
Tien-Chin Wang, Yen Thi Hong Pham, Huong Thi Mai Truong, Ground Handling Performance Based Clustering for Vietnam Airlines Strategic Management, International Journal of Business and Economics Research. Vol. 7, No. 3, 2018, pp. 55-61. doi: 10.11648/j.ijber.20180703.12
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