Developing Competitive Advantages in Political Risk Management for International Construction Enterprises

Deng, Xiaopeng; Low, Sui Pheng; Li, Qiming; Zhao, Xianbo

doi:10.1061/(asce)co.1943-7862.0000836

Cited by 88 publications

(71 citation statements)

References 48 publications

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“…Several issues and tests have been widely considered and used in previous studies to determine whether each group of data is suitable for performing factor analysis [39,40]. In this study, the procedure recommended by Deng et al was followed [40]. The ratio of the sample size to the number of variables is 6, which was higher than the ideal ratio of 5:1.…”

Section: Data Analysis Methodsmentioning

confidence: 86%

“…As shown in Table 4, all 23 variables had significant importance, meaning that the p-values were below 0.05 and the mean scores were above 3.00. Several issues and tests have been widely considered and used in previous studies to determine whether each group of data is suitable for performing factor analysis [39,40]. In this study, the procedure recommended by Deng et al was followed [40].…”

Section: Data Analysis Methodsmentioning

confidence: 99%

“…MS showed the relative importance of each factor. The MS method is usually considered as a research method to rank the relative importance of factors [40,66]. If the MS of several factors is exactly the same, the factor with the lower standard deviation (SD) is assigned a higher level.…”

Section: Data Analysis Methodsmentioning

confidence: 99%

“…To achieve this purpose, this study follows the research framework proposed by Deng et al [39] and Arif et al [40]. Arif et al identified 17 key variables related to political risk management of international construction companies through literature reviews and pilot studies.…”

Section: Overall Research Frameworkmentioning

confidence: 99%

“…Arif et al identified 17 key variables related to political risk management of international construction companies through literature reviews and pilot studies. In order to research the rank and relationships of affecting factors, the factor analysis and average score methods were introduced in their study [40]. Deng et al explored the factors that inhibit the promotion of SI system building by conducting an investigation through a questionnaire [39].…”

Section: Overall Research Frameworkmentioning

confidence: 99%

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Critical Success Factors for Project Planning and Control in Prefabrication Housing Production: A China Study

et al. 2018

Sustainability

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Abstract:The process of prefabrication housing production (PHP) has been inevitably faced with diverse challenges. A number of factors affect the successful implementation of PHP. However, the critical success factors (CSFs) remain unrevealed. This paper aims to examine the CSFs for the planning and control of PHP projects. A total of 23 factors were identified as a result of literature review, in-depth interviews and pilot studies with experts in the construction industry. A questionnaire survey was conducted with designers, manufacturers, and contractors in China. The result showed that the top five CSFs were: (1) designers' experience of PHP, (2) manufacturer's experience of PHP, (3) project manager's ability to solve problems, (4) maturity of techniques used in the detailed design phase, and (5) persistent policies and incentives. The 23 CSFs were further categorized into five groups via exploratory factor analysis, namely: (1) technology and method, (2) information, communication and collaboration, (3) external environment, (4) experience and knowledge, and (5) competence of the project manager. In particular, "technology and method" played the dominant role. This study contributes to the existing body of knowledge via a holistic approach covering the key actors of PHP such as designers, manufacturers as well as contractors to examine CSFs of PHP. These findings provided designers and project managers with a useful set of criteria for the effective project planning and control of PHP and facilitated the successful implementation PHP.

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Section: Data Analysis Methodsmentioning

confidence: 86%