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|Title:||Understanding critical variables contributing to competitive advantages of international high-speed railway contractors||Authors:||Niu, Yanliang
|Issue Date:||2019||Source:||Niu, Y., Deng, X., Zhang, L., & Duan, X. (2019). Understanding Critical Variables Contributing To Competitive Advantages Of International High-speed Railway Contractors. Journal Of Civil Engineering And Management, 25(2), 184-202. doi:10.3846/jcem.2019.8427||Series/Report no.:||Journal Of Civil Engineering And Management||Abstract:||This article is devoted to identifying and explaining the critical variables contributing to competitive advantages in international High-Speed Railway (HSR) projects from the contractor’s perspective. A total of 24 variables were identified by the literature review and a pilot study. An international questionnaire survey was performed to obtain professional opinions from both practitioners and the academy. The 24 variables were ranked and clustered into 6 factors using exploratory factor analysis. Furthermore, a case study of the Early Train Operator project of the California HSR was carried out by the survey, interview, and first-hand data. The results indicated that the top six ranked variables are (1) None Accident History, (2) Eligibility & International Criteria, (3) Contract Reputation, (4) Marketing Strategy, (5) Risk Management Capability, and (6) Technical Responsiveness. Furthermore, the 24 variables are grouped into six dimensions: Glocalization, Marketing, Safety, Economics, Technology, and Responsibility. The case study indicated that the factor framework was suitable and tractable for the application. The findings of this paper could (1) assist international HSR contractors in obtaining a better understanding of the deeper determinates of competitive advantages and (2) serve as a valuable reference for developing their competitive advantages in the international HSR market.||URI:||https://hdl.handle.net/10356/107509
|ISSN:||1392-3730||DOI:||http://dx.doi.org/10.3846/jcem.2019.8427||Rights:||© 2019 The Author(s). Published by VGTU Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.||metadata.item.grantfulltext:||open||metadata.item.fulltext:||With Fulltext|
|Appears in Collections:||CEE Journal Articles|
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