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    Identifying Driving Variables and Paths of Competitive Advantage for International High-Speed Rail Rolling Stock Contractors

    Source: Journal of Infrastructure Systems:;2021:;Volume ( 027 ):;issue: 004::page 04021032-1
    Author:
    Na Zhang
    ,
    Xiaopeng Deng
    ,
    Bon-gang Hwang
    ,
    Xianbo Zhao
    DOI: 10.1061/(ASCE)IS.1943-555X.0000644
    Publisher: ASCE
    Abstract: Competitive advantage is essential for the international high-speed rail (HSR) rolling stock contractors winning orders and surviving in the fierce global market. To achieve it, it is necessary to identify its driving variables and formation paths. Based on the literature review, 24 driving variables were identified and packaged into six categories. Meanwhile, the hypothetical relationships among six packages were carried out based on the resource-capability-performance paradigm. After a pilot study, a questionnaire survey was conducted to investigate the relative importance of these driving variables. To test the reliability of the survey data and identify the most important driving variable, descriptive analysis was conducted. After that, partial least squares structural equation modeling (PLS-SEM) was carried out to verify the hypothesized paths. The descriptive analysis result indicates the top five crucial variables, i.e., technical reliability, brand impact, research and development (R&D) innovation, industrial license certificate, and technical absorption. The PLS-SEM result shows that eight of nine hypothesized paths are significant. The findings of this paper help international HSR rolling stock contractors better understand the driving variables and formation paths of competitive advantage. Furthermore, this paper will contribute to the body of knowledge on competition in the global HSR market.
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      Identifying Driving Variables and Paths of Competitive Advantage for International High-Speed Rail Rolling Stock Contractors

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4272423
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    contributor authorNa Zhang
    contributor authorXiaopeng Deng
    contributor authorBon-gang Hwang
    contributor authorXianbo Zhao
    date accessioned2022-02-01T21:59:14Z
    date available2022-02-01T21:59:14Z
    date issued12/1/2021
    identifier other%28ASCE%29IS.1943-555X.0000644.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4272423
    description abstractCompetitive advantage is essential for the international high-speed rail (HSR) rolling stock contractors winning orders and surviving in the fierce global market. To achieve it, it is necessary to identify its driving variables and formation paths. Based on the literature review, 24 driving variables were identified and packaged into six categories. Meanwhile, the hypothetical relationships among six packages were carried out based on the resource-capability-performance paradigm. After a pilot study, a questionnaire survey was conducted to investigate the relative importance of these driving variables. To test the reliability of the survey data and identify the most important driving variable, descriptive analysis was conducted. After that, partial least squares structural equation modeling (PLS-SEM) was carried out to verify the hypothesized paths. The descriptive analysis result indicates the top five crucial variables, i.e., technical reliability, brand impact, research and development (R&D) innovation, industrial license certificate, and technical absorption. The PLS-SEM result shows that eight of nine hypothesized paths are significant. The findings of this paper help international HSR rolling stock contractors better understand the driving variables and formation paths of competitive advantage. Furthermore, this paper will contribute to the body of knowledge on competition in the global HSR market.
    publisherASCE
    titleIdentifying Driving Variables and Paths of Competitive Advantage for International High-Speed Rail Rolling Stock Contractors
    typeJournal Paper
    journal volume27
    journal issue4
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/(ASCE)IS.1943-555X.0000644
    journal fristpage04021032-1
    journal lastpage04021032-12
    page12
    treeJournal of Infrastructure Systems:;2021:;Volume ( 027 ):;issue: 004
    contenttypeFulltext
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