American Journal of Applied Mathematics

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Project Cost Overrun Management in Universities Using Partial Least Squares-Structural Equation Modelling

Received: 09 May 2017    Accepted: 02 June 2017    Published: 13 July 2017
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Abstract

The construction industry is a very important sector of the Nigerian economy. It contributes significantly to the Gross National Product. Cost overrun is an integral part of the construction industry. It generates in projects financial loss to both contractors and owners (clients). It is an important parameter for success of any project that results to serious sequences. Cost overrun is a chronic problem for tertiary institutions. This is because, it is common for projects not to be completed on time and within the initial project budget. The paper assess the management of project cost overrun, reasons for cost overrun and suggested solutions in selected Public Tertiary Institutions in Lafia Metropolis using Partial Least Squares-Structural Equation Modelling (PLS-SEM). The results show that contractor’s site management related factors has 97.6% effect on cost overrun, followed by non-human resource related factors with an effect of 94.4% on cost overrun. The least was information and communication technology related factors having 75.7% effect on cost overrun. The findings reveal that the PLS-SEM is a model that evaluates a data as a collective entity.

DOI 10.11648/j.ajam.20170504.12
Published in American Journal of Applied Mathematics (Volume 5, Issue 4, August 2017)
Page(s) 108-113
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Cost, Overrun, Management, Project, Site

References
[1] Abam, A. O. & Nzeako, G. C., (2017). A comparative study of Project Cost Overrun Management using Partial Least Squares- Structural Equation Modelling and Fuzzy Inference System. Department of Mathematics, Federal University Lafia, Unpublished Undergraduate Project.
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[3] Azhar, N., Farooqui, R. U. & Ahmed, S. M., (2008). Cost Overrun Factors in Construction Industry in Pakistan. Proceeding of First International Conference on Construction in Developing Countries (ICCIDE-1), Karachi, Pakistan, 4-5 August, 499-508, retrieved from http://www.neduet.edu.pk/Civil/ICCIDC-conference%20Proceedings/Papers/051.pdf.
[4] Bubshait, A. A. & Al-Juwait, Y. A., (2002). Factors Contributing to Construction Costs in Saudi Arabia. Cost Engineering, 44(5), 30.
[5] Chin W. (2000). “Partial Least Squares for Researchers: An Overview and Presentation of Recent Advances Using the PLS Approach”, http://disc-nt.cba.uh.edu/chin/indx.html.
[6] Choudhury, I., & Phatak, O., (2004). Correlates of time overrun in commercial construction, ASC Proceeding of 4th Annual Conference, Brigham Young University- provo-Utah, April 8-10. Arabian international Journal of Project Management, 17(2), 101-106.
[7] Kagiri, D. (2005). Time and cost overruns in power projects: A case study of Kenya Electricity Generating Company. Unpublished MBA Project, University of Nairobi.
[8] Kaliba, C., Muya, M. & Mumba, K., (2009). Cost Escalation and Schedule Delay in Road Construction Projects in Zambia, International Journal of Project Management, 5(27), 522-531.
[9] Koushki, P. A., Al‐Rashid, K., & Kartam, N., (2005). Delays and cost increases in the construction of private residential projects in Kuwait. Construction Management and Economics, 23(3), 285-294.
[10] Lee, J. K., (2008). Cost overrun and cause in Korean social overhead capital Projects: Roads, rails, airports and ports. J. Urban Planning. Dev., 2(134), 59-62.
[11] Love, P. E. D., Raymond, Y. C. T. & David, J. E., (2005), Time-Cost Relations in Australia Building Construction Projects; ASCE Journal of Construction Engineering and Management, 2(131), 187-194.
[12] Mitzi (Maritza), P. T., (2008), Structural Equation Modeling Approach to Factors that Contribute to the impact MYMATHLAB has on Commitment and Integration of Technology, 65-71.
[13] Rational Choice Theory (2016). Retrieved from https://www.investopedia.com/terms/r/rational-choice-theory.asp.
[14] Rational Choice Theory (10th November, 2016). Retrieved from https://en.m.wikipedia.org/wiki/Rational_choice_theory.
[15] Rosenfield. Y., (2013), “Root Cause Analysis of Construction Cost Overruns,” Journal of Construction Engineering and Management, 140.
[16] Shreenaath. A, Arunmozhi. S. & Sivagamasundari, R., (2015), “Prediction of Construction Cost Overrun in Tamil Nadu- A Statistical Fuzzy Approach”, International Journal of Engineering and Technical Research, 3(3), 267-275.
[17] Sriprasert, E., (2000). Assessment of Cost Control System: A Case Study of Thai Construction Organizations. Asian Institute of Technology, Bangkok.
Author Information
  • Department of Mathematics, Faculty of Science, Federal University Lafia, Lafia, Nigeria

  • Department of Statistics, Faculty of Science, Abia State Polytechnic, Aba, Nigeria

  • Department of Statistics, Faculty of Science, University of Uyo, Uyo, Nigeria

  • Department of Mathematics, Faculty of Science, Federal University Lafia, Lafia, Nigeria

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  • APA Style

    Abam Ayeni Omini, Ogbonna Eric Nnamdi, Nsien Edwin, Nzeako Gladys. (2017). Project Cost Overrun Management in Universities Using Partial Least Squares-Structural Equation Modelling. American Journal of Applied Mathematics, 5(4), 108-113. https://doi.org/10.11648/j.ajam.20170504.12

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    ACS Style

    Abam Ayeni Omini; Ogbonna Eric Nnamdi; Nsien Edwin; Nzeako Gladys. Project Cost Overrun Management in Universities Using Partial Least Squares-Structural Equation Modelling. Am. J. Appl. Math. 2017, 5(4), 108-113. doi: 10.11648/j.ajam.20170504.12

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    AMA Style

    Abam Ayeni Omini, Ogbonna Eric Nnamdi, Nsien Edwin, Nzeako Gladys. Project Cost Overrun Management in Universities Using Partial Least Squares-Structural Equation Modelling. Am J Appl Math. 2017;5(4):108-113. doi: 10.11648/j.ajam.20170504.12

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  • @article{10.11648/j.ajam.20170504.12,
      author = {Abam Ayeni Omini and Ogbonna Eric Nnamdi and Nsien Edwin and Nzeako Gladys},
      title = {Project Cost Overrun Management in Universities Using Partial Least Squares-Structural Equation Modelling},
      journal = {American Journal of Applied Mathematics},
      volume = {5},
      number = {4},
      pages = {108-113},
      doi = {10.11648/j.ajam.20170504.12},
      url = {https://doi.org/10.11648/j.ajam.20170504.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajam.20170504.12},
      abstract = {The construction industry is a very important sector of the Nigerian economy. It contributes significantly to the Gross National Product. Cost overrun is an integral part of the construction industry. It generates in projects financial loss to both contractors and owners (clients). It is an important parameter for success of any project that results to serious sequences. Cost overrun is a chronic problem for tertiary institutions. This is because, it is common for projects not to be completed on time and within the initial project budget. The paper assess the management of project cost overrun, reasons for cost overrun and suggested solutions in selected Public Tertiary Institutions in Lafia Metropolis using Partial Least Squares-Structural Equation Modelling (PLS-SEM). The results show that contractor’s site management related factors has 97.6% effect on cost overrun, followed by non-human resource related factors with an effect of 94.4% on cost overrun. The least was information and communication technology related factors having 75.7% effect on cost overrun. The findings reveal that the PLS-SEM is a model that evaluates a data as a collective entity.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Project Cost Overrun Management in Universities Using Partial Least Squares-Structural Equation Modelling
    AU  - Abam Ayeni Omini
    AU  - Ogbonna Eric Nnamdi
    AU  - Nsien Edwin
    AU  - Nzeako Gladys
    Y1  - 2017/07/13
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ajam.20170504.12
    DO  - 10.11648/j.ajam.20170504.12
    T2  - American Journal of Applied Mathematics
    JF  - American Journal of Applied Mathematics
    JO  - American Journal of Applied Mathematics
    SP  - 108
    EP  - 113
    PB  - Science Publishing Group
    SN  - 2330-006X
    UR  - https://doi.org/10.11648/j.ajam.20170504.12
    AB  - The construction industry is a very important sector of the Nigerian economy. It contributes significantly to the Gross National Product. Cost overrun is an integral part of the construction industry. It generates in projects financial loss to both contractors and owners (clients). It is an important parameter for success of any project that results to serious sequences. Cost overrun is a chronic problem for tertiary institutions. This is because, it is common for projects not to be completed on time and within the initial project budget. The paper assess the management of project cost overrun, reasons for cost overrun and suggested solutions in selected Public Tertiary Institutions in Lafia Metropolis using Partial Least Squares-Structural Equation Modelling (PLS-SEM). The results show that contractor’s site management related factors has 97.6% effect on cost overrun, followed by non-human resource related factors with an effect of 94.4% on cost overrun. The least was information and communication technology related factors having 75.7% effect on cost overrun. The findings reveal that the PLS-SEM is a model that evaluates a data as a collective entity.
    VL  - 5
    IS  - 4
    ER  - 

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