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Abstract

Cost overruns in construction projects are a problem faced by project managers, engineers, and clients throughout the Middle East.  Globally, several studies in the literature have focused on identifying the causes of these overruns and used statistical methods to rank them according to their impacts. None of these studies have considered the interactions among these factors. This paper examines interpretive structural modelling (ISM) as a viable technique for modelling complex interactions among factors responsible for cost overruns in construction projects in the Sultanate of Oman. In particular, thirteen interrelated factors associated with cost overruns were identified, along with their contextual interrelationships. Application of ISM leads to organizing these factors in a hierarchical structure which effectively demonstrates their interactions in a simple way. Four factors were found to be at the root of cost overruns: instability of the US dollar, changes in governmental regulations, faulty cost estimation, and poor coordination among projects’ parties. Taking appropriate actions to minimize the influence of these factors can ultimately lead to better control of future project costs. Thisstudy is of value to managers and decision makers because it provides a powerful yet very easy to apply approach for investigating the problem of cost overruns and other similar issues.

 

 

Keywords

Project Cost overrun Interpretive structural modelling (ISM).

Article Details

How to Cite
Alzebdeh, K., Bashir, H., & Al Siyabi, S. (2015). Applying Interpretive Structural Modeling to Cost Overruns in Construction Projects in the Sultanate of Oman. The Journal of Engineering Research [TJER], 12(1), 53–68. https://doi.org/10.24200/tjer.vol12iss1pp53-68
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References

  1. Abdul Azis A, Memon A, Abdul Rahman I, Karim A (2013), Controlling cost overrun factor in construction projects in Malaysia. Research Journal of Applied Sciences and Technology 5(8), 2621–2629.
  2. Ali AS, Kamaruzzaman SN (2010), Cost performance for building construction projects in Klang Valley. Journal of Building Performance 1(1), 110–118.
  3. Al-Khalil MI, Al-Ghafly MA (1999), Delay in public utility projects in Saudi Arabia. International Journal of Project Management. 17(2), 101–106.
  4. Ansari M, Kharb RK, Luthra S, Shimmi SL, Chatterji S (2013), Analysis of barriers to implement solar power installations using interpretive structural modelling technique. Renewable and Sustainable Energy Reviews 27:163–174.
  5. Arditi D, Akan GT, Gurdamar S (1985), Reasons for delays in public projects in Turkey. Construction Management and Economics 3(2):171–181.
  6. Assaf SA, Al-Hejji S (2006), Causes of delay in large construction projects. International Journal of Project Management 24:349–357.
  7. Azhar N, Farooqui RU, Ahmed SM (2008), Cost overrun factors in construction industry of Pakistan, in Proceedings of the First International Conference on Construction in Developing Countries. Karachi, Pakistan, August 4–5.
  8. Bashir HA (2008), Modelling of development time for hydroelectric generators using factor and multiple regression analyses. International Journal of Project Management 26(4):457–464.
  9. Bashir HA (2010), Removal of redundant relationships in an AON project network for evaluating schedule complexity. Journal of Construction Engineering and Management 136(7):787–793.
  10. Bashir HA, Thomson V (1999), Metrics for design projects: A review. Design Studies 20(3):263–277.
  11. Bolanos R, Fontela E, Nenclares A, Paster P (2005), Using interpretive structural modeling in strategic decision making groups. Management Decision 43:877–895.
  12. Brand Jr. DH, Irwin DM, Kawamura K (1976), Implementation of interpretive structural modelling in a state-level planning context, in Proceedings of the Seventh Annual Conference on Modelling and Simulation, Pittsburgh, Pennsylvania, USA, April 26–27.
  13. Creedy GD. (2006), Risk factors leading to cost overrun in highway construction projects, in Sidwell, A.C. (ed) Proceedings of Queensland University of Technology Research Week International Conference, Brisbane, Australia. Unpublished doctoral dissertation, Queensland University of Technology, Australia, July 4–8. Dissanayaka SM, Delgado-Hernandez DJ, Bampton KE, Anspinwall E (2007), Quality function deployment in construction. Construction Management and Economics 25(6):597–609.
  14. El-Sayegh S (2008), Risk assessment and allocation in the UAE construction industry. International Journal of Project Management 26(4):431–438.
  15. Enshassi A, Al-Najjar J, Kumaraswamy M (2009), Delays and cost overruns in the construction projects in the Gaza Strip. Journal of Financial Management of Property and Construction 14(2):126–151.
  16. Fairdi A, El-Sayegh SM (2006), Significant factors causing delay in the UAE construction industry. Contraction Management and Economics 24(11):1167–1176.
  17. Farooquie P, Khan J (2007), An interpretive structural model for project planningand success, in IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, December 2–5, 1022–1026.
  18. Flyvbjerg B, Skamris Holm MK, Buhl SL (2004), What causes cost overrun in transport infrastructure projects? Transport Reviews 24(1):3–18.
  19. Flyvbjerg B, Skamris Holm, MK, Buhl SL (2003), How common and how large are cost overruns in transport infrastructure projects? Transport Reviews 23(1):71–88.
  20. Frimpong Y, Oluwoye J, Crawford L (2003), Causes of delay and cost overruns in construction of groundwater projects in a developing countries; Ghana as a case study. International Journal of Project Management 21(5):321–326.
  21. Govindan K, Palaniappan M, Zhu Q, Kannan D (2012), Analysis of third party reverse logistics provider using interpretive structural modelling. International Journal of Production Economics 140:204–211.
  22. Hasan MA, Shankar R, Sarkis J (2007), A study of barriers to agile manufacturing International. Journal of Agile Systems and Management 2:1–22.
  23. Hawthorne RW, Sage AP (1975), On applications of interpretive structural modelling to higher education program planning. Socio-Economic Planning Sciences 9(1)31–43.
  24. Iyer K, Sagheer M (2010), Hierarchical structuring of PPP risks using interpretative structural modeling. Journal of Construction Engineering and Management 136(2):151– 159.
  25. Kaliba C, Muya M, Mumba K (2009), Cost escalation and schedule delays in road construction projects in Zambia. International Journal of Project Management 27(5):522–531.
  26. Kaming P, Olomolaiye P, Holt G, Harris F (1997), Factors influencing construction time and cost overruns on high-rise projects in Indonesia. Construction Management and Economics 15(1):83–94.
  27. Kartam N, Kartam S (2001), Risk and its managements in the Kuwaiti construction industry: a contractors' perspective. International Journal of Project Management 19(6):325–335.
  28. Kawamura K, Christakis AN (1976), The role of structural modelling in technology assessment, in Proceedings of the Second International Congress on Technology Assessment, Ann Arbour, USA, October.
  29. Koushki PA, 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.
  30. Le-Hoai LY, Lee, D, Lee JY (2008), Delay and cost overruns in Vietnam large construction projects: A comparison with other selected countries. KSCE Journal of Civil Engineering 12(6):367–377.
  31. Long ND, Ogunlana SO, Quang T, Lam KC (2004), Large construction projects in developing countries: A case study from Vietnam. International Journal of Project Management 22(7):553–561.
  32. Mandal A, Deshmukh SG (1994), Vender selection using interpretive structural modelling. International Journal of Operations & Production Management 14(6): 52–60.
  33. Mansfield NR, Ugwa OO, Doran T (1994), Causes of delay and cost overrun in Nigerian construction projects International Journal of Project Management 12(4):254–260.
  34. Mathiyazhagan K, Govindan K, Noorul Haq A, Geng Y (2013), An ISM approach for the barrier analysis in implementing green supply chain management. Journal of Cleaner Production 47(2):283–297.
  35. Ogunlana S, Promkuntong K, Jearkjirm V (1996), Construction delays in a fast growing economy: Comparing Thailand with other economies. International Journal of Project Management 14(1):37–45.
  36. Ravi V, Shankar R (2005), Analysis of interactions among the barriers of reverselogistics. Technological Forecasting and Social Change 72(9):1011–1029.
  37. Rawlinson JG (1986), Creative thinking and brainstorming. Surrey, United Kingdom: Ashgate.
  38. Sage AP (1979), Methodology for Large-scale Systems. New York: McGraw-Hill.
  39. Sahney S, Banwet DK, Karunes S (2010), Quality framework in education through application of interpretive structural modeling: An administrative staff perspective in the Indian context. The TQM Journal 22: 56–71.
  40. Sambasivan M, Soon YW (2007), Causes and effects of delays in Malaysian construction industry. International Journal of Project Management 25(5):517–526.
  41. Schlesinger LA, Heskett J (1991), Breaking the cycle of failure in services. MIT Sloan Management Review 33(3):17–28.
  42. Shankar C, Transue M, Felder FA (2011), Analysis of barriers to development in landfill communities using interpretive structural modelling. Habitat International 35:246–253.
  43. Sharma HD, Gupta AD, Sushil PV (1995), The objectives of waste management in India: A future inquiry. Technological Forecasting and Social Change 48(3):285–309.
  44. Singh MD, Shankar R, Narain R, Agarwal A (2003), An interpretive structural modeling of knowledge management in engineering industries. Journal of Advanced Research in Management 1(1):28–40.
  45. Sweis G, Sweis R, Abu Hammad A, Shboul A (2008), Delays in construction projects: The case of Jordan. International Journal of Project Management 26(6):665–674.
  46. Talib F, Rahman Z, Qureshi MN (2011), Analysis of interaction among the barriers to total quality management implementation using interpretive structural modeling approach. Benchmarking: An International Journal 18:563–587.
  47. Wang G, Wang Y, Zhao T (2008), Analysis of interactions among the barriers to energy saving in China. Energy Policy 36(6):1879– 1889.
  48. Wang JY, Yuan HP (2011), Major cost-overrun risks in construction projects in China. International Journal of Project Organization and Management 3(4):226–242.
  49. Warfield JW (1974), Developing interconnected matrices in structural modelling. IEEE Transactions on Systems, Man, and Cybernetics 4(1):51–81.