Structural equation model for construction equipment selection and contractor competitive advantages

Samee, Kattiya; Pongpeng, Jakrapong

doi:10.1007/s12205-015-0632-5

Cited by 15 publications

(4 citation statements)

References 12 publications

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“…For instance, Song et al [42] utilized the SEM approach to solve the supplier selection of prefabricated building elements in building construction projects. Similarly, Samee and Pongpeng [43] used the SEM approach for construction equipment selection to improve contractors' competitive advantages in construction projects. Hence, using the SEM approach for the FWS selection problem can be a useful and novel method in the field of formwork engineering.…”

Section: Studies Related To the Application Of Mcdm Methods For The F...mentioning

confidence: 99%

Formwork System Selection Criteria for Building Construction Projects: A Structural Equation Modelling Approach

2022

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Selecting the appropriate formwork system (FWS) is a critical aspect in the successful completion of reinforced concrete (RC) building construction projects. The selected FWS has a significant impact on the cost, time, and quality performances of the project. As there are many FWSs and formwork fabricators (FWFs) available, the selection of the FWS depends on several compromising and conflicting criteria. This study aims to identify the FWS selection criteria groupings (e.g., latent factors) and investigate the quantitative interrelationships among them. For this purpose, 35 FWS selection criteria were identified through literature review, and a questionnaire was developed. The data from the questionnaire were statistically analyzed, and five latent factors were identified: FWS-FWF characteristics, structural design, local conditions, cost, and performance indicators. A conceptual framework was developed based on the latent factors, and a structural equation modelling (SEM) approach was utilized to identify the effects among the latent factors. The results of the SEM approach confirmed that FWS-FWF characteristics are affected by the structural design and local conditions and FWS-FWF characteristics have a substantial effect on cost and the performance indicators of the project. The findings of this study may assist construction professionals in selecting the FWS in building construction projects.

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Section: Studies Related To the Application Of Mcdm Methods For The F...mentioning

confidence: 99%

Formwork System Selection Criteria for Building Construction Projects: A Structural Equation Modelling Approach

2022

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“…Sustainable energy projects are usually executed by contractors. Samee and Pongpeng [41] presented the important link in the causal relationship between construction equipment selection and competitive advantages. Compatibility with site characteristics, services and maintenance, costs, safety, and environmental effects, ease of acquisition, and technology and innovation were the significant factors that affect competitive advantages when considering the contractor's financial stability, corporate image and reputation, bidding opportunity, and technical capacity.…”

Section: Contractor Selectionmentioning

confidence: 99%

Grey SWARA-FUCOM Weighting Method for Contractor Selection MCDM Problem: A Case Study of Floating Solar Panel Energy System Installation

et al. 2019

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Selection of the most appropriate contractor for the installation of solar panels is essential to maximizing the benefit of this renewable, sustainable energy source. Solar energy is one of the 100% renewable energy sources, but implementation may not be very simple and cost-effective. A key phase in the implementation of renewable energy is the evaluation of contractors for the installation of solar panels, which is addressed as a multi-criteria decision-making (MCDM) problem. A new hybrid method is proposed that combines the stepwise weight analysis ratio assessment (SWARA) and full consistent method (FUCOM) weights that are represented as grey numbers used with traditional grey relational analysis (GRA) and evaluation based on distance from average solution (EDAS) methods. The ranking of contractors by both methods is the same, which confirmed the results presented in this research. The use of the grey SWARA-FUCOM weighting method combined with the GRA and EDAS methods increased the decision-makers’ (DMs) confidence in awarding the installation of the solar panel energy system to the top-ranked contractor.

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“…L. Shen, Lu, Q. Shen, and Li (2003), Shen, Lu, and Yam (2006) focused on identifying the key competitiveness indicators and assessing a contractor's competitiveness. In addition, some researchers studied the relationship between contractors' competitive advantage and some certain variable, with examples such as innovation (Lu, Liu, Rowlinson, & Poon, 2013;Lim, Schultmann, & Ofori, 2010), quality management (Jaafari, 2000), political risk management (Deng, Low, Li, & Zhao, 2014;Chang, Hwang, Deng, & Zhao, 2018a;Chang, Deng, Zuo, & Yuan, 2018b), positive psychological capital (Toor & Ofori, 2010), project safety (Rechenthin, 2004), decision-making style (Oyewobi, Windapo, & Rotimi, 2016), equipment selection (Samee & Pongpeng, 2016), and guanxi (Lin, Q. Chen, Liao, P. H. Chen, & Cheng, 2018). However, the research about the competitive advantage of contractors on international HSR projects is very scarce.…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding Critical Variables Contributing to Competitive Advantages of International High-Speed Railway Contractors

Niu

Deng

Zhang

et al. 2019

Journal of Civil Engineering and Management

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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.

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Structural equation model for construction equipment selection and contractor competitive advantages

Cited by 15 publications

References 12 publications

Formwork System Selection Criteria for Building Construction Projects: A Structural Equation Modelling Approach

Formwork System Selection Criteria for Building Construction Projects: A Structural Equation Modelling Approach

Grey SWARA-FUCOM Weighting Method for Contractor Selection MCDM Problem: A Case Study of Floating Solar Panel Energy System Installation

Understanding Critical Variables Contributing to Competitive Advantages of International High-Speed Railway Contractors

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