scholarly journals Risk Assessment of Ex-Post Transaction Cost in Construction Projects Using Structural Equation Modeling

2018 ◽  
Vol 10 (11) ◽  
pp. 4017 ◽  
Author(s):  
Zaigham Ali ◽  
Fangwei Zhu ◽  
Shahid Hussain
Keyword(s):  
Structural Equation Modeling ◽  
Life Cycle ◽  
Transaction Cost ◽  
Life Cycle Cost ◽  
Structural Equation ◽  
Construction Projects ◽  
Structural Model ◽  
Equation Modeling ◽  
Ex Post ◽  
Industry Professionals

The transaction cost (TC) escalation is the pervasive problem in the construction industry, which is continuously a threat to maintaining the life cycle cost of projects. Researchers have described the reality of risk for economic transactions. This study has taken the risk as a phenomenon to explore its influence on ex-post TC in construction projects. A questionnaire survey was undertaken from industry professionals to assess the risk of ex-post TC escalation in public-sector construction projects. In total, 475 surveys were conducted in Pakistan and used in the analysis. The data were analyzed using structural equation modeling (SEM) and the measurement and structural model was validated to determine the influence of risk on ex-post TC. The final SEM results show that internal and external risk, including sub hypothesized risks, positively influence TC. The weight of relative importance shows technical risk (23.82%) and environmental risk (22.88%) as significant sub-contributors from internal and external sources, respectively. This study recommends substantial investment in human capacity development to reduce the deficiencies in the ex-ante phase of the projects that help to reduce the risk of ex-post TC escalation. It also suggests the adoption of strict policies on contingency claims, and recommends nontraditional ways of monitoring to overcome the risk of ex-post TC. This study’s results provide valuable information for industry professionals and practitioners to maintain life cycle costs as a contribution to sustainable construction.

Teachers' digital technology access to motivation, skills and use: a structural equation modeling study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Akhmad Habibi ◽  
Mohd Faiz Mohd Yaakob ◽  
Amirul Mukminin ◽  
Muhaimin Muhaimin ◽  
Lantip Diat Prasojo ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Digital Technology ◽  
Structural Equation ◽  
Structural Model ◽  
Teaching Experience ◽  
Equation Modeling ◽  
Technology Access ◽  
School Location ◽  
Content Type ◽  
Instructional Use

PurposeThe current study aimed to develop and validate a scale to model factors affecting digital technology access for instructional use. The scale was mainly used to assess the structural model. Besides, tests of difference were addressed regarding digital technology access for instructional use based on gender, teaching experience and school location.Design/methodology/approachThe authors implemented a survey design in this study. A scale based on prior studies was developed, validated and piloted. The pilot study data were computed for an exploratory factor analysis. Further, partial least squares structural equation modeling (PLS-SEM) and t-test procedures were used for the main data analysis (n.2677). The authors also included the importance-performance map analysis to extend of the results of the PLS-SEM.FindingsThe findings of the study successfully assessed the validity and reliability of the scale. All hypothetical relationships in the structural model were positively significant. The t-test results show that teaching experience and school location were significantly different regarding instructional use access; however, an insignificant difference emerged based on gender.Practical implicationsFailure in technology integration is possible if policies have not been carefully prepared. Therefore, users' perception is an essential factor in determining technology integration, including access to digital technology.Originality/valueThis research has the potential to enhance the understanding of access to digital technology in the context of developing countries by the elaboration of the proposed model's instrument development and validation, path analysis assessment and difference test examination with a large sample size. Also, the current study emphasizes the importance of raising awareness about digital technology access that the model can facilitate a valid and reliable foundation for future researchers interested in conducting similar types of research.

scholarly journals Development of a System Measurement Model of the Brazilian Hospital Accreditation System

2018 ◽  
Vol 15 (11) ◽  
pp. 2520 ◽  
Author(s):  
João Corrêa ◽  
João Turrioni ◽  
Carlos Mello ◽  
Ana Santos ◽  
Carlos da Silva ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Scientific Software ◽  
Health Organizations ◽  
Hospital Accreditation ◽  
Management Quality ◽  
Culture Process

The purpose of this study is to develop and validate a measurement model that evaluates the Brazilian hospital accreditation methodology (ONA), based on a multivariate model using structural equation modeling (SEM). The information used to develop the model was obtained from a questionnaire sent to all organizations accredited by the ONA methodology. A model was built based on the data obtained and tested through a structural equation modeling (SEM) technique using the LISREL® software (Scientific Software International, Inc., Skokie, IL, USA). Four different tests were performed: Initial, calibrated, simulated, and cross-validation models. By analyzing and validating the proposed measurement model, it can be verified that the selected factors satisfy the required criteria for the development of a structural model. The results show that leadership action is one of the most important factors in the process of health services accredited by ONA. Although, leadership, staff management, quality management, organizational culture, process orientation, and safety are strongly linked to the development of health organizations, and directly influence the accreditation process.

Contractual Complexity in Construction Projects

2018 ◽  
Vol 49 (3) ◽  
pp. 46-61 ◽  
Author(s):  
Wenqian Wang ◽  
Yongqiang Chen ◽  
Shuibo Zhang ◽  
Yu Wang
Keyword(s):  
Structural Equation Modeling ◽  
Scale Development ◽  
Structural Equation ◽  
Construction Projects ◽  
Construction Project ◽  
Three Dimensional ◽  
Modeling Technique ◽  
Equation Modeling ◽  
Empirical Testing ◽  
Item Scale

Building on the multifunctional perspective from current contract theory, we conceptualize contractual complexity as a three-dimensional construct to depict the explicitness and elaborateness of control, coordination, and adaptation provisions in a construction project contract. A 13-item scale with construction project features is developed for measuring the different aspects of contractual complexity following rigorous scale development procedures. Using the structural equation modeling technique, empirical testing results demonstrate that all of the three components contribute significantly to contractual complexity. Further analysis indicated that treating contractual complexity in the three-functional way outperforms the unidimensional one regarding power to explain satisfaction and strong-form opportunism.

Moral Disengagement: Mediator Between Moral Perfectionism and Machiavellian Behavior Among Undergraduates?

2020 ◽  
pp. 003329412096406
Author(s):  
Abbas Abdollahi ◽  
Fatemeh Hashemi ◽  
Hamid Rezaeian Faraji ◽  
Simin Hosseinian ◽  
Kelly A. Allen
Keyword(s):  
Structural Equation Modeling ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Moral Disengagement ◽  
Structural Model ◽  
Two Dimensions ◽  
Equation Modeling ◽  
Moral Standards ◽  
The Relationship ◽  
Moral Perfectionism

To better understand Machiavellian behavior among undergraduate students, the current study examines moral disengagement as a mediator in the relationship between Machiavellian behavior and two dimensions of moral perfectionism (concern over moral mistakes perfectionism and personal moral standards perfectionism). Participants were 210 undergraduate students (64% female) from three universities in Tehran, Iran, aged between 18 and 27 years old. Structural equation modeling revealed that Machiavellian behavior was negatively associated with personal moral standards perfectionism and positively associated with moral disengagement. The results of the structural model showed a non-significant relationship between concern over moral mistakes perfectionism and Machiavellian behavior. However, multi-model analysis provided evidence that moral disengagement partially mediated the relationship between personal moral standards perfectionism and Machiavellian behavior. The findings also showed that there was a relationship between concern over moral mistakes perfectionism and Machiavellian behavior through moral disengagement. The results suggest that while moral perfectionism is often accompanied with moral disengagement, Machiavellian behavior may be an explanation for individuals with these traits.

Teacher Role Stress, Satisfaction, Commitment, and Intentions to Leave: A Structural Model

2009 ◽  
Vol 105 (3) ◽  
pp. 771-786 ◽  
Author(s):  
Sharon Conley ◽  
Sukkyung You
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Coastal Region ◽  
Role Stress ◽  
Equation Modeling ◽  
Role Overload ◽  
Intentions To Leave ◽  
Teachers Perceptions ◽  
Confirmatory Factor

Structural equation modeling was used to assess the plausibility of a conceptual model specifying hypothesized linkages among teachers' perceptions of the role stresses of role ambiguity, role conflict, and role overload and commitment, satisfaction, and intentions to leave their employing school. 178 teachers in four high schools in a southern coastal region of California responded to survey questions designed to capture the above constructs. Confirmatory factor analysis was used to assess whether the role-stress items fit hypothesized constructs. Structural equation modeling results indicated that satisfaction and commitment are two mediators in the role stresses–intentions to leave relationship.

9. Structural Equation Modeling with Robust Covariances

1998 ◽  
Vol 28 (1) ◽  
pp. 363-396 ◽  
Author(s):  
Ke-Hai Yuan ◽  
Peter M. Bentler
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Likelihood Function ◽  
Breakdown Point ◽  
Individual Case ◽  
Equation Modeling ◽  
Parameter Estimates ◽  
Sample Covariance ◽  
Bounded Influence

Existing methods for structural equation modeling involve fitting the ordinary sample covariance matrix by a proposed structural model. Since a sample covariance is easily influenced by a few outlying cases, the standard practice of modeling sample covariances can lead to inefficient estimates as well as inflated fit indices. By giving a proper weight to each individual case, a robust covariance will have a bounded influence function as well as a nonzero breakdown point. These robust properties of the covariance estimators will be carried over to the parameter estimators in the structural model if a technically appropriate procedure is used. We study such a procedure in which robust covariances replace ordinary sample covariances in the context of the Wishart likelihood function. This procedure is easy to implement in practice. Statistical properties of this procedure are investigated. A fit index is given based on sampling from an elliptical distribution. An estimating equation approach is used to develop a variety of robust covariances, and consistent covariances of these robust estimators, needed for standard errors and test statistics, follow from this approach. Examples illustrate the inflated statistics and distorted parameter estimates obtained by using sample covariances when compared with those obtained by using robust covariances. The merits of each method and its relevance to specific types of data are discussed.

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