Structural Equation Model of Construction Contract Dispute Potential

Molenaar, Keith R.; Washington, Simon; Diekmann, James E.

doi:10.1061/(asce)0733-9364(2000)126:4(268)

Cited by 212 publications

(129 citation statements)

References 5 publications

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“…These variables typically do not perfectly measure the prime variable of interest, thus causing technical problems in model estimation and diminishing ability to conduct statistical inferences. In this case, SEM is an extension of standardised regression modelling that deals with these poorly measured independent variables (Molenaar et al 2000).…”

Section: Data Analysis Methodsmentioning

confidence: 99%

The roles of emotional intelligence, interpersonal skill, and transformational leadership on improving construction safety performance

Sunindijo

Zou

2013

CEB

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Due to the characteristics of the construction industry, human skills are essential for working with and through others in managing safety. Previous research has shown that emotional intelligence, interpersonal skill, and transformational leadership are human skill components that generate superior performance in today's workplace. The aim of this research is to investigate the influence of project management personnel's human skills (in terms of emotional intelligence, interpersonal skill and transformational leadership) on the implementation of safety management tasks and development of safety climate in construction projects. The structural equation modelling (SEM) method was applied to analyse the quantitative data collected via surveys and to establish interrelationship among the research variables. The results indicate that emotional intelligence is a key factor for developing interpersonal skill and transformational leadership, and for implementing safety management tasks which leads to the development of safety climate. This research also found that interpersonal skill is needed for becoming transformational leaders who contribute to the development of safety climate.

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Section: Data Analysis Methodsmentioning

confidence: 99%

The roles of emotional intelligence, interpersonal skill, and transformational leadership on improving construction safety performance

Sunindijo

Zou

2013

CEB

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“…Initially developed by social scientists, it is an extension of standardized regression modelling, but its ability to handle independent variables that are imprecisely measured has led to its widespread application in analysing consumer and marketing behavior [6]. However, these characteristics also make it well-suited for analysing many issues that arise in the field of management and construction engineering [7] . The study reported here extends the work of a study by [8] that investigated significant factors of construction delay.…”

Section: Introductionmentioning

confidence: 99%

Investigating Delays in Libyan Road Construction Projects Using Structural Equation Modelling (SEM)

Ismail¹,

Alfakhri²,

Khoiry³

et al. 2018

IJET

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Transportation infrastructure, specifically road projects, is the backbone of economic and social development of many countries. Successful road infrastructure projects are delivered with reduced cost, on time. Factors contributing to Construction delay in road construction projects in Libya were identified and ranked through a questionnaire survey distributed to owners, consultants, and contractors involved in road projects. A total of 256 completed questionnaire forms were received and analysed. A Structural Equation Modelling SEM Path Model of relationship between delay factors and effects in road construction was formulated and evaluated using [SEM] 21 software. 49 factors classified into eight groups of factors and three groups of effects of delay. The contractor group in delay factors had the greatest impact on road construction delay with path coefficient β-values of 0.249, while financial groups in delay effects had the greatest impact on road construction delay with path coefficient β-values of 0.88. The R2 value of the model is 0.48, indicating that the developed model substantially explains Construction delay. This rigorous multivariate analysis has identified several causative factors that contribute to delay in road construction projects in Libya. The findings will help all parties involved in construction projects to achieve better control over construction delays, and will provide support for practitioners to incorporate risk analysis for potential Construction delay in future projects. As well as for researchers in the field of road construction and understanding of the factors causing project cost overruns in developing countries.

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“…SEM can be considered as a combination of factor analysis, multiple correlation, regression and path analysis. As the initial hypothesized model given in Figure 1 is based on the theoretical expectations and past empirical findings, it was found to be premature without meeting the standard model fit indices (Molenaar et al 2000). Recently with the development of SEM in research a variety of goodness of fit criteria have been developed for this purpose (Washington et al 2010).…”

Section: Research Design and Methodologymentioning

confidence: 99%

“…Among these variables three were from the SA (SA_2, SA_5, and SA_6) ; four from the SE (SE_11, SE_16, SE_10 and SE_14); two from the SMO (SM_7 and SM_6); one from the SMA plan (SMA_4) and two from the SM related issues (Issue_4 and Issue_7). This elimination was done incrementally as discussed by Molenaar et al (2000). Based on the final model fit indices the final model is well fitting for the SM related best practices and the SM related issues.…”

Section: Research Design and Methodologymentioning

confidence: 99%

“…The root mean square error of approximation (RMSEA) value of 0.043 at p value of 0.05 indicates that the final model cannot be rejected at a high level of confidence. Furthermore, all other essential indices namely Comparative Fit Index (CFI) and Tucker-Lewis index (TLI) values are above 0.90 which provide a strong evidence that the fit between the measurement model and the data is acceptable (Molenaar et al 2000, Jin et al 2007 After achievement of the suggested model fit the most parsimonious model was developed using the nested models (Cheng 2001). Accordingly, if a structural model has some non-significant paths new relationships which can theatrically justified should be proposed.…”

Section: Research Design and Methodologymentioning

confidence: 99%

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Structural Equation Model of Strategies for Successful Stakeholder Management in PPPs

Jayasuriya¹,

Zhang²,

Yang³

EPiC Series in Education Science

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Public Private Partnerships (PPPs) have become an increasingly popular choice for the delivery of infrastructure facilities in the recent years. With the involvement of multiple numbers of stakeholders in a PPP project, stakeholder management (SM) plays a decisive role in project success. However, many issues in the recent PPP projects in Australia as well as around the world can directly or indirectly related to the SM concerns of a project. The correct selection of SM strategies and a proper framework will help to solve most of the current SM related issues in PPP projects. In an attempt to understand these pre-emptive SM strategies and their links to SM management related issues in PPP projects, a hierarchical structural model was established. Subsequently, by employing the structural equation modelling technique, the model adapts a total of 34 SM strategies and 12 SM related issues. Based on the survey data collected across the industry experts who have exposure to a various number of PPP projects in Australia the results of the model confirmed that the SE is a key to minimize the SM related issues in the PPP projects. Further, interestingly stakeholder management monitoring and SM related issues has a positive significant relationship suggesting that more the stakeholder management monitoring might lead to more issues. Finally, the relationships between the main tasks of SM were confirmed via the model. With a clear understanding of the significance of these SM strategies in PPP projects the findings could potentially contribute to the PPP project success.

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Structural Equation Model of Construction Contract Dispute Potential

Cited by 212 publications

References 5 publications

The roles of emotional intelligence, interpersonal skill, and transformational leadership on improving construction safety performance

The roles of emotional intelligence, interpersonal skill, and transformational leadership on improving construction safety performance

Investigating Delays in Libyan Road Construction Projects Using Structural Equation Modelling (SEM)

Structural Equation Model of Strategies for Successful Stakeholder Management in PPPs

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