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

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.

[1]  Ajibade A. Aibinu,et al.  Using PLS-SEM technique to model construction organizations' willingness to participate in e-bidding , 2010 .

[2]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[3]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[4]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[5]  Ali Osman Kusakci,et al.  An Analysis of causes and effects of delays in construction projects in Libyan oil industry , 2017 .

[6]  Rehab Abdulmahdi Mohsin Hasan An Investigation Into the Delays in Road Projects in Bahrain , 2014 .

[7]  Shahriar Akter,et al.  Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS) , 2011, J. Assoc. Inf. Sci. Technol..

[8]  Tarek Zayed,et al.  Cost management for concrete batch plant using stochastic mathematical models , 2006 .

[9]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[10]  Ismail Abdul Rahman,et al.  Significant Factors Causing Time Overrun in Construction Projects of Peninsular Malaysia , 2014 .

[11]  Aminah Robinson Fayek,et al.  Fuzzy Logic Approach for Activity Delay Analysis and Schedule Updating , 2005 .

[12]  Peter Farrell,et al.  CAUSES OF DELAY ON INFRASTRUCTURE PROJECTS IN QATAR , 2015 .

[13]  D. Ketchen A Primer on Partial Least Squares Structural Equation Modeling , 2013 .

[14]  Adrian Leguina,et al.  A primer on partial least squares structural equation modeling (PLS-SEM) , 2015 .

[15]  Murali Sambasivan,et al.  Causes and effects of delays in Malaysian construction industry , 2007 .

[16]  Wynand Jacobus Van der Merwe Steyn,et al.  Causes of delay in road construction projects in Malawi , 2013 .

[17]  Mohan Raj Manavazhi,et al.  Material and equipment procurement delays in highway projects in Nepal , 2002 .

[18]  Norngainy Mohd Tawil,et al.  Cause of construction delay - Theoretical framework , 2011 .

[19]  Terence A. Oliva,et al.  A Catastrophe Model for Developing Service Satisfaction Strategies , 1992 .

[20]  Marko Sarstedt,et al.  Response-Based Segmentation Using Finite Mixture Partial Least Squares - Theoretical Foundations and an Application to American Customer Satisfaction Index Data , 2010, Data Mining.

[21]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[22]  Murat Gunduz,et al.  Causes of Construction Delays in Qatar Construction Projects , 2016 .

[23]  Jörg Henseler,et al.  On the convergence of the partial least squares path modeling algorithm , 2010, Comput. Stat..

[24]  A. M. Odeh,et al.  Causes of construction delay: traditional contracts , 2002 .

[25]  Christian Homburg,et al.  Applications of structural equation modeling in marketing and consumer research: A review , 1996 .

[26]  Simon Washington,et al.  Structural equation model of construction contract dispute potential , 2000 .

[27]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[28]  Nashwan Dawood,et al.  Analysing construction delay factors: A case study of building construction project in Libya , 2011 .

[29]  Sadi Assaf,et al.  Causes of delay in large construction projects , 2006 .

[30]  J. Lohmöller Predictive vs. Structural Modeling: PLS vs. ML , 1989 .

[31]  Nils Urbach,et al.  Structural Equation Modeling in Information Systems Research Using Partial Least Squares , 2010 .

[32]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[33]  Keith A. Willoughby,et al.  STUDYING THE REASONS FOR DELAY AND COST OVERRUN IN CONSTRUCTION PROJECTS: THE CASE OF IRAN , 2016 .

[34]  R. Fellows,et al.  Impact of participants' values on construction sustainability , 2008 .

[35]  Dr. Ashraf Samarah,et al.  Causes and Effects of Delay in Public Construction Projects in Jordan , 2016 .

[36]  Dean Kashiwagi,et al.  Major Factors Causing Construction Delays in Mecca , 2015 .

[37]  Sadi Assaf,et al.  Causes of Delay in Large Building Construction Projects , 1995 .

[38]  Remon Fayek Aziz,et al.  Exploring delay causes of road construction projects in Egypt , 2016 .