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    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/52085


    Title: Exploring the performance and competitiveness of Vietnam port industry using DEA
    Authors: Kuo, Kuo-Cheng
    Lu, Wen-Min
    Le, Minh-Hieu
    Contributors: 全球商務碩士學位學程
    Keywords: Attractiveness
    Data envelopment analysis
    Forecasting
    Port industry
    Progress
    Vietnam
    Date: 2020-09
    Issue Date: 2023-05-08 10:20:06 (UTC+8)
    Abstract: In the port industry, productivity is one of the vital factors for ports to develop competitiveness and market potential. The paper integrates context-dependent data envelopment analysis and forecasting models to conduct an efficient measurement of 53 Vietnamese ports and predict future performance in the port industry. By using the technique to get the measure of performance, this study builds the ports’ benchmark-learning stepping tools for the inefficient ports to enhance increasingly. The attractiveness and progress scores are resulted to assist the ports in situating themselves. Moreover, forecasting port performance results help decision-makers having more detailed information to make better decisions in their strategies and investments. © 2020 The Authors
    Relation: Asian Journal of Shipping and Logistics開放取用卷 36, 期 3, 頁 136 - 144 September 2020
    Appears in Collections:[全球商務學位學程] 期刊論文

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