Skip to main content

MCPCM: A DEMATEL-ANP-Based Multi-criteria Decision-Making Approach to Evaluate the Critical Success Factors in Construction Projects

Abstract

Project success is a fundamental issue for any planning, design and construction development. Thus, it effects the stakeholders which involve government, developer, constructor and communities as the end users. Critical success factors (CSFs) have been key aspects of a construction project which are considered to be a means to improve the effectiveness of project. CSF literature has been widely addressed, and many researchers evaluated the gaps in CSFs for construction projects’ success. However, this paper highlights the importance levels of interdependency among the CSFs which has rarely been explored in the prior studies. In this study, most influential factors in successfully completing construction projects are used to develop a new integrated model, multi-criteria construction projects CSF model. A novel hybrid multi-criteria decision-making (MCDM) model is used to address the dependence relationships of factors with the aid of grey relational analysis, analytical network process (ANP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL). The initial model of the study is designed by considering five main criteria with 43 sub-criteria. DEMATEL is applied to construct interrelations among criteria and sub-criteria in the integrated model. By using this approach, the interdependencies strength among the criteria and sub-criteria is tested. The ANP method is then adopted in order to determine the relative importance of the CSFs, and used to identify how the CSFs are weighted and prioritized by the construction professionals, who are all working in different areas of the construction industry. The development of this MCDM model helps project parties in Malaysia in identifying the key elements and factors that need to be thoroughly considered and managed for construction project success. The results of this study can also be a guide for the construction organizations to allocate their resources such as financial and time for the construction projects according to the importance level of construction project success factors.

This is a preview of subscription content, access via your institution.

References

  1. 1

    Al-Zahrani J.I.: The impact of contractors’ attributes on construction project success: a post construction evaluation. Int. J. Proj. Manag. 31(2), 313–322 (2013)

    Article  Google Scholar 

  2. 2

    Chan A.P., Chan A.P.: Key performance indicators for measuring construction success. Benchmarking: Int. J. 11(2), 203–221 (2004)

    Article  Google Scholar 

  3. 3

    Pheng L.S., Chuan Q.T.: Environmental factors and work performance of project managers in the construction industry. Int. J. Proj. Manag. 24(1), 24–37 (2006)

    Article  Google Scholar 

  4. 4

    Abdul-Rahman H., Wang C., Muhammad N.A.B.: Project performance monitoring methods used in Malaysia and perspectives of introducing EVA as a standard approach. J. Civil Eng. Manag. 17(3), 445–455 (2011)

    Article  Google Scholar 

  5. 5

    Ghoddousi P., Hosseini M.R.: A survey of the factors affecting the productivity of construction projects in Iran. Technol. Econ. Dev. Econ. 18(1), 99–116 (2012)

    Article  Google Scholar 

  6. 6

    Rungasamy S., Antony J., Ghosh S.: Critical success factors for SPS implementation in UK small and medium enterprises: some key findings from a survey. TQM Mag. 14(4), 217–224 (2002)

    Article  Google Scholar 

  7. 7

    Chua D.K.H., Kog Y.C., Loh P.K.: Critical success factors for different project objectives. J. Constr. Eng. Manag. 125(3), 142–150 (1999)

    Article  Google Scholar 

  8. 8

    Gale A.W., Fellows R.F.: Challenge and innovation: the challenge to the construction industry: report on a conference organized by the UK Association of Researchers in Construction Management. Constr. Manag. Econ. 8(4), 431–436 (1990)

    Article  Google Scholar 

  9. 9

    Ofori G.: The Construction Industry: Aspects of its Economics and Management. Singapore University Press, Singapore (1990)

    Google Scholar 

  10. 10

    Baker B.N., Murphy D.C., Fisher D.: Factors affecting project success. Proj. Manag. Handb. 16(1), 21–26 (1983)

    Google Scholar 

  11. 11

    Ofori, G.: Challenges of construction industries in developing countries: lessons from various countries. In: 2nd International Conference on Construction in Developing Countries: Challenges Facing the Construction Industry in Developing Countries, Gaborone. Wiley, New York, pp. 15–17 (2000)

  12. 12

    Takim, R.; Akintoye, A.: Performance indicators for successful construction project performance. In: 18th Annual ARCOM Conference, vol. 2, pp. 545–555 (2002)

  13. 13

    Chan D.W., Kumaraswamy M.M.: A comparative study of causes of time overruns in Hong Kong construction projects. Int. J. Proj. Manag. 15(1), 55–63 (1997)

    Article  Google Scholar 

  14. 14

    Cooke-Davies T.: The “real” success factors on projects. Int. J. Proj. Manag. 20(3), 185–190 (2002)

    Article  Google Scholar 

  15. 15

    Khan R.A., Liew M.S., Ghazali Z.B.: Malaysian construction sector and Malaysia vision 2020: developed nation status. Procedia-Soc. Behav. Sci. 109, 507–513 (2014)

    Article  Google Scholar 

  16. 16

    Shehu, Z.; Endut, I.R.; Akintoye, A.; Holt, G.D.: Cost overrun in the Malaysian construction industry projects: a deeper insight. Int. J. Proj. Manag. 32, 1471–1480 (2014)

  17. 17

    Chong N.B., Uden L., Naaranoja M.: Knowledge management system for construction projects in Finland. Int. J. Knowl. Manag. Stud. 1(3), 240–260 (2007)

    Article  Google Scholar 

  18. 18

    Sanvido V., Grobler F., Parfitt K., Guvenis M., Goyle M.: Critical success factors for construction projects. ASCE J. Constr. Eng. Manag. USA 11(1), 94–111 (1992)

    Article  Google Scholar 

  19. 19

    Belassi W., Tukel O.I.: A new framework for determining critical success/failure factors in projects. Int. J. Proj. Manag. 14(3), 141–151 (1996)

    Article  Google Scholar 

  20. 20

    Slevin, D.P., Pinto, J.K.: The project implementation profile: new tool for project managers. Proj. Manag. Inst. 17, 57–70 (1986)

  21. 21

    De Wit A.: Measurement of project success. Int. J. Proj. Manag. 6(3), 164–170 (1988)

    Article  MathSciNet  Google Scholar 

  22. 22

    White D., Fortune J.: Current practice in project management—an empirical study. Int. J. Proj. Manag. 20(1), 1–11 (2002)

    Article  Google Scholar 

  23. 23

    Yang J., Shen G.Q., Ho M., Drew D.S., Chan A.P.: Exploring critical success factors for stakeholder management in construction projects. J. Civil Eng. Manag. 15(4), 337–348 (2009)

    Article  Google Scholar 

  24. 24

    Latorre, V.: Construction Manager’s Influence on Project Success, PhD thesis, Department of Engineering, University of Plymouth (2009)

  25. 25

    Ahadzie D.K., Proverbs D.G., Olomolaiye P.O.: Critical success criteria for mass house building projects in developing countries. Int. J. Proj. Manag. 26(6), 675–687 (2008)

    Article  Google Scholar 

  26. 26

    Nguyen L.D., Ogunlana S.O.: A study on project success factors in large construction projects in Vietnam. Eng. Constr. Archit. Manag. 11(6), 404–413 (2004)

    Article  Google Scholar 

  27. 27

    Singh D., Tiong R.L.: Contractor selection criteria: investigation of opinions of Singapore construction practitioners. J. Constr. Eng. Manag. 132(9), 998–1008 (2006)

    Article  Google Scholar 

  28. 28

    Bryde D.J., Robinson L.: Client versus contractor perspectives on project success criteria. Int. J. Proj. Manag. 23(8), 622–629 (2005)

    Article  Google Scholar 

  29. 29

    Tukel O.I., Rom W.O.: An empirical investigation of project evaluation criteria. Int. J. Oper. Prod. Manag. 21(3), 400–416 (2001)

    Article  Google Scholar 

  30. 30

    Frödell M., Josephson P.E., Lindahl G.: Swedish construction clients’ views on project success and measuring performance. J. Eng. Des. Technol. 6(1), 21–32 (2008)

    Google Scholar 

  31. 31

    Takim R., Adnan H.: Analysis of effectiveness measures of construction project success in Malaysia. Asian Soc. Sci. 4(7), P74 (2008)

    Google Scholar 

  32. 32

    Elattar S.M.S.: Towards developing an improved methodology for evaluating performance and achieving success in construction projects. Sci. Res. Essay 4(6), 549–554 (2009)

    Google Scholar 

  33. 33

    Ashley D.B., Lurie C.S., Jaselskis E.J.: Determinants of construction project success. Proj. Manag. J. 18(2), 69–79 (1987)

    Google Scholar 

  34. 34

    Tabish S.Z.S., Jha K.N.: Identification and evaluation of success factors for public construction projects. Constr. Manag. Econ. 29(8), 809–823 (2011)

    Article  Google Scholar 

  35. 35

    CII: Cost–Trust Relationship. Construction Industry Institute, Publication 241, Bureau of Engineering Research, The University of Texas at Austin (1993)

  36. 36

    CII: The Owners Role in Project Success, Construction Industry Institute, Technical Report RT152 (2005)

  37. 37

    Hwang B.G., Zhao X., Ng S.Y.: Identifying the critical factors affecting schedule performance of public housing projects. Habitat Int. 38, 214–221 (2013)

    Article  Google Scholar 

  38. 38

    Alzahrani J.I., Emsley M.W.: The impact of contractors’ attributes on construction project success: a post construction evaluation. Int. J. Proj. Manag. 31(2), 313–322 (2013)

    Article  Google Scholar 

  39. 39

    Al-Tmeemy S.M.H.M., Abdul-Rahman H., Harun Z.: Future criteria for success of building projects in Malaysia. Int. J. Proj. Manag. 29(3), 337–348 (2011)

    Article  Google Scholar 

  40. 40

    Abdul-Aziz A.R., Jahn Kassim P.S.: Objectives, success and failure factors of housing public–private partnerships in Malaysia. Habitat Int. 35(1), 150–157 (2011)

    Article  Google Scholar 

  41. 41

    Chen T.T., Wu T.C.: Construction project partnering using fuzzy based decision making methodology. J. Chin. Inst. Eng. 35(3), 269–284 (2012)

    Article  Google Scholar 

  42. 42

    Chan A.P., Scott D., Chan A.P.: Factors affecting the success of a construction project. J. Constr. Eng. Manag. 130(1), 153–155 (2004)

    Article  Google Scholar 

  43. 43

    Dissanayaka S.M., Kumaraswamy M.M.: Evaluation of factors affecting time and cost performance in Hong Kong building projects. Eng. Constr. Archit. Manag. 6(3), 287–298 (1999)

    Article  Google Scholar 

  44. 44

    Songer A.D., Molenaar K.R.: Project characteristics for successful public-sector design-build. J. Constr. Eng. Manag. 123(1), 34–40 (1997)

    Article  Google Scholar 

  45. 45

    Belout A.: Effects of human resource management on project effectiveness and success: toward a new conceptual framework. Int. J. Proj. Manag. 16(1), 21–26 (1998)

    Article  Google Scholar 

  46. 46

    Akinsola A.O., Potts K.F., Ndekugri I., Harris F.C.: Identification and evaluation of factors influencing variations on building projects. Int. J. Proj. Manag. 15(4), 263–267 (1997)

    Article  Google Scholar 

  47. 47

    Kumaraswamy M.M., Chan D.W.: Factors facilitating faster construction. J. Constr. Procure. 5, 88–98 (1999)

    Google Scholar 

  48. 48

    Walker D.H.: An investigation into construction time performance. Constr. Manag. Econ. 13(3), 263–274 (1995)

    Article  Google Scholar 

  49. 49

    Walker D.H.T.: Construction time performance and traditional versus non-traditional procurement methods. J. Constr. Procure. 3, 42–55 (1997)

    Google Scholar 

  50. 50

    Walker D.H., Vines M.W.: Australian multi-unit residential project construction time performance factors. Eng. Constr. Archit. Manag. 7(3), 278–284 (2000)

    Google Scholar 

  51. 51

    Hubbard D.G.: Successful utility project management from lessons learned. Proj. Manag. J. 21(3), 19–23 (1990)

    Google Scholar 

  52. 52

    Jaselskis E.J., Ashley D.B.: Optimal allocation of project management resources for achieving success. J. Constr. Eng. Manag. 117(2), 321–340 (1991)

    Article  Google Scholar 

  53. 53

    Kaming P.F., Olomolaiye P.O., Holt G.D., Harris F.C.: Factors influencing construction time and cost overruns on high-rise projects in Indonesia. Constr. Manag. Econ. 15(1), 83–94 (1997)

    Article  Google Scholar 

  54. 54

    Chen F.H., Hsu T.S., Tzeng G.H.: A balanced scorecard approach to establish a performance evaluation and relationship model for hot spring hotels based on a hybrid MCDM model combining DEMATEL and ANP. Int. J. Hosp. Manag. 30(4), 908–932 (2011)

    Article  Google Scholar 

  55. 55

    Hung Y.H., Chou S.C.T., Tzeng G.H.: Knowledge management adoption and assessment for SMEs by a novel MCDM approach. Dec. Support Syst. 51(2), 270–291 (2011)

    Article  Google Scholar 

  56. 56

    Huang C.Y., Shyu J.Z., Tzeng G.H.: Reconfiguring the innovation policy portfolios for Taiwan’s SIP Mall industry. Technovation 27(12), 744–765 (2007)

    Article  Google Scholar 

  57. 57

    Deng H., Yeh C.H., Willis R.J.: Inter-company comparison using modified TOPSIS with objective weights. Comput. Oper. Res. 27(10), 963–973 (2000)

    Article  MATH  Google Scholar 

  58. 58

    Duval; Fontela, A.; Gabus, E.: A.: DEMATEL Report No. 1: Cross-Impact: A Handbook on Concepts and Applications Innovative Methods (1974)

  59. 59

    Shen Y.C., Lin G.T., Tzeng G.H.: Combined DEMATEL techniques with novel MCDM for the organic light emitting diode technology selection. Expert Syst. Appl. 38(3), 1468–1481 (2011)

    Article  Google Scholar 

  60. 60

    Lee W.S., Huang A.Y., Chang Y.Y., Cheng C.M.: Analysis of decision making factors for equity investment by DEMATEL and Analytic Network Process. Expert Syst. Appl. 38(7), 8375–8383 (2011)

    Article  Google Scholar 

  61. 61

    Ahmadi, H.; Rad, M.S.; Nazari, M.; Nilashi, M.; Ibrahim, O.: Evaluating the factors affecting the implementation of hospital information system (HIS) using AHP method. Life Sci. J. 11(3), 202–207 (2014)

  62. 62

    Nilashi M., Ibrahim O.B.: A model for detecting customer level intentions to purchase in B2C websites using TOPSIS and fuzzy logic rule-based system. Arab. J. Sci. Eng. 39(3), 1907–1922 (2014)

    Article  Google Scholar 

  63. 63

    Nilashi M., Janahmadi N.: Assessing and prioritizing affecting factors in e-learning websites using AHP method and fuzzy approach. Inf. Knowl. Manag. 2(1), 46–61 (2012)

    Google Scholar 

  64. 64

    Nilashi M., Bagherifard K., Ibrahim O., Janahmadi N., Barisami M.: An application expert system for evaluating effective factors on trust in B2C WebsitesTrust, Security, ANFIS, Fuzzy Logic, Rule Based Systems, Electronic Commerce. Engineering 3, 1063 (2011)

    Article  Google Scholar 

  65. 65

    Mousavi S.M., Tavakkoli-Moghaddam R., Heydar M., Ebrahimnejad S.: Multi-criteria decision making for plant location selection: an integrated Delphi–AHP–PROMETHEE methodology. Arab. J. Sci. Eng. 38(5), 1255–1268 (2013)

    Article  Google Scholar 

  66. 66

    Agha S. R., Jarbo M.H., Matr S.J.: A multi-criteria multi-stakeholder industrial projects prioritization in Gaza Strip. Arab. J. Sci. Eng. 38(5), 1217–1227 (2013)

    Article  Google Scholar 

  67. 67

    Babapour R., Naghdi R., Salehi A., Ghajar I.: A decision support system for allocation of mountain forest roads based on ground stability. Arab. J. Sci. Eng. 39(1), 199–205 (2014)

    Article  Google Scholar 

  68. 68

    Rezgui Y., Marks A., Hamed A.H., Wilson I.: Developing an ISDM adoption decision model using Delphi and AHP. Arab. J. Sci. Eng. 39(4), 2799–2815 (2014)

    Article  Google Scholar 

  69. 69

    Saaty, T.L.: The analytic hierarchy and analytic network processes for the measurement of intangible criteria and for decision-making. In: Multiple Criteria Decision Analysis: State of the Art Surveys. Springer, New York, pp. 345–405 (2005)

  70. 70

    Saaty, T.L.: The Analytic Network Process: Decision Making with Dependence and Feedback; the Organization and Prioritization of Complexity. Rws Publications (1996)

  71. 71

    Hwang C.C., Tai H.H.: Analysis of relative competitiveness among major hub-ports across Taiwan Strait. J. Chin. Inst. Transp. 20, 1–38 (2008)

    Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding authors

Correspondence to Mehrbakhsh Nilashi or Rozana Zakaria.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Nilashi, M., Zakaria, R., Ibrahim, O. et al. MCPCM: A DEMATEL-ANP-Based Multi-criteria Decision-Making Approach to Evaluate the Critical Success Factors in Construction Projects. Arab J Sci Eng 40, 343–361 (2015). https://doi.org/10.1007/s13369-014-1529-1

Download citation

Keywords

  • ANP
  • Multi-criteria decision making
  • DEMATEL
  • CSFs
  • Construction projects
  • GRA