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Manuscript ID : 537150 Visit : 77 Page: 17 - 33

Article Type: Original Research

Identifying Causal Relationships and Ranking the Obstacles Affecting the Goals of Public-Private Partnership Projects (Case Study: Partnership Model of Industrial Developmental Organizations in Iran)

Subject Areas : Industrial Management

Mohammad  Khalilzadeh 1 (Assistant Professor, Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Morteza  Vasei 2 (Phd student, Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Davoud  Seddighizade 3 (Ph.D., Department of Industrial Engineering, Faculty of Engineering, Tarbiat Modarres University, Tehran, Iran)
Arvin  Azizian 4 (Phd student, Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran)

Received: 2016-01-04 Accepted : 2016-07-18 Published : 2016-08-25

Keywords:

Abstract :

Using Public-Private Partnership method as an investment model may result in applying private sector's expertise and knowledge management to transfer governmental infrastructure projects. Hence, governments can focus on the other economic sectors in order to accelerate the development rate of infrastructure. In this paper, we study the legal model implemented in industrial developmental organizations in Iran to identify the obstacles affecting the goals of the approved enterprise projects in 3 sections of governmental (10 criteria), private (5 criteria) and business (7 criteria) and the amount of their effects on each other is determined by Fuzzy DEMATEL technique. Also, their importance weights are calculated and analyzed by Fuzzy ANP method.

References:


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    37.
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  38. Singh, B.L., & Kalidindi, S.N. (2006). Traffic revenue risk management through Annuity Model of PPP road projects in India. International Journal of Project Management, 24(7), 605–613.
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  45. Uygun, O., Kacamak, H., Atakan Kahraman, U. (2014). An integrated DEMATEL and Fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company. Computers & Industrial Engineering, 86, 137-146.
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  47. Wibowo, A. (2004). Valuing guarantees in a BOT infrastructure project. Engineering, Construction and Architectural Management. 11(6), 395–403.
    48.
  48. Winch, G.M. (2000). Institutional reform in British construction: partnering and private finance. Building Research and Information, 28(2), 141–155.
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  49. Wu, W.W. (2008). Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Systems with Applications, 35(3), 828-835.
    50.
  50. Wu, W.W, & Lee, Y.T. (2007). Developing global manager’s competencies using fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499-507.
    51.
  51. Yang, H., & Chang, K. (2012). Combining means-end chain and fuzzy ANP to explore customers’ decision process in selecting bundle. International Journal of Information Management, 32(4), 381-395.
    52.
  52. Ye, S., & Tiong, R.K.L. (2003). The effect of concession period design on completion risk management of BOT projects. Construction Management and Economics, 21(5), 471–482.
    53.
  53. Ysa, T. (2007). Governance forms in urban public–private partnerships. International Public Management Journal, 10(1), 35–57.
    54.
  54. Zhang, X.Q., Kumaraswamy, M.M., Zheng, W., Palaneeswaran, E. (2002). Concessionaire selection for build–operate–transfer tunnel projects in Hong Kong. Journal of Construction Engineering and Management, 128(2), 155–163.
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    56.
_||_

  1. Ahammed, F., & Azeem, A. (2013). Selection of the most appropriate package of solar home system using analytic hierarchy process model in rural areas of Bangladesh. Renew Energy, 55, 6-11.
    2.
  2. Abdel Aziz, A.M. (2007). Successful delivery of public–private partnerships for infrastructure development. Journal of Construction Engineering and Management, 133(12), 918–931.
    3.
  3. Akintoye, A., Hardcastle, C., Beck, M., Chinyio, E., Asenova, D. (2003). Achieving best value in private finance initiative project procurement. Construction Management and Economics, 21(5), 461–470.
    4.
  4. Bakatjan, S., Arikan, M., Tiong, R.L.K. (2003). Optimal capital structure model for BOT power projects in Turkey. Journal of Construction Engineering and Management, 129(1), 89–97.
    5.
  5. Ball, M., & Maginn, P.J. (2005). Urban change and conflict: evaluating the role of partnerships in urban regeneration in the UK. Housing Studies, 20(1), 9–28.
    6.
  6. Bing, L., Akintoye, A., Edwards, P.J., Hardcastle, C. (2005). The allocation of risk in PPP/PFI construction projects in the UK. International Journal of Project Management, 23(1), 25–35.
    7.
  7. Chan, A.P.C., Chan, D.W.M., Ho, K.S.K. (2003). An empirical study of the benefits of construction partnering in Hong Kong. Construction Management and Econonomics, 21(5), 523–533.
    8.
  8. Chan, A.P.C., Lam, P.T.I., Chan, D.W.M., Cheung, E., Ke, Y. (2010). Critical success factors for PPPs in infrastructure developments: Chinese perspective. Journal of Construction Engineering and Management, 136, 484–494.
    9.
  9. Chang, B., Chang, C., Wu, C. (2011). Fuzzy DEMATEL method for developing supplier selection criteria. Expert Systems with Applications, 38(3), 1850-1858.
    10.
  10. Chen, F.H., Hsu, T.S., Tzeng, G.H. (2011). 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. International Journal of Hospitality Management, 30(4), 908-932.
    11.
  11. Chen-Yi, H., Ke-Ting, C., Gwo-Hshiung, T. (2007). FMCDM with fuzzy DEMATEL approach for customers’ choice behavior model. International Journal of Fuzzy Systems, 9(4), 236-246.
    12.
  12. Cheung, E., Chan, A.P.C., Kajewski, S. (2012). Factors contributing to successful public private partnership projects, comparing Hong Kong with Australia and the United Kingdom. Journal of Facilities Management, 10(1), 45–58.
    13.
  13. Chou, J.S., Tserng, H.P., Lin, C., Yeh, C.P. (2012). Critical factors and risk allocation for PPP policy: Comparison between HSR and general infrastructure projects. Transport Policy, 22, 36–48.
    14.
  14. Chowdhury, A.N., Chen, P.H., Tiong, R.L.K. (2011). Analyzing the structure of public–private partnership projects using network theory. Construction Management and Economics. 29(3), 247–260.
    15.
  15. Cumming, D. (2007). Government policy towards entrepreneurial finance. Innovation investment funds. Journal of Business Venturing, 22(2), 193–235.
    16.
  16. Gogus, O., & Boucher, T. (1998). Strong transitivity, rationality and weak monotonicity in fuzzy pairwise comparisons. Fuzzy Sets and Systems, 94(1), 133–144.
    17.
  17. Grimsey, D., & Lewis, M.K. (2002). Evaluating the risks of public–private partnerships for infrastructure projects. International Journal of Project Management, 20(2), 107–118.
    18.
  18. Grimsey, D., & Lewis, M.K. (2007). Public private partnerships and public procurement. Agenda, 14(2), 171–188.
    19.
  19. Heravi, G., & Hajihosseini, Z. (2012). Risk allocation in public–private partnership infrastructure projects in developing countries: Case study of the Tehran- Chalus toll road. Journal of Infrastructure Systems, 18(3), 210–217.
    20.
  20. Huang, Y.L., & Chou, S.P. (2006). Valuation of the minimum revenue guarantee and the option to abandon in BOT infrastructure projects. Construction Management and Economics, 24(4), 379–389.
    21.
  21. Hwang, B.G., Zhao, X., Gay, M.J.S. (2013). Public private partnership projects in Singapore: Factors, critical risks and preferred risk allocation from the perspective of contractors. International Journal of Project Management, 31(3), 424–433.
    22.
  22. Jin, X. (2010). Determinants of efficient risk allocation in privately financed public infrastructure projects in Australia. Journal of Construction Engineering and Management, 136(2), 138–150.
    23.
  23. Ke, Y., Wang, S., Chan, A.P., Cheung, E. (2009). Research trend of public– private partnership in construction journals. Journal of Construction Engineering and Management, 135(10), 1076–1086.
    24.
  24. Ke, Y., Wang, S., Chan, A.P.C. (2010). Risk allocation in public–private partnership infrastructure projects: comparative study. Journal of Infrastructure Systems, 16(4), 343-351.
    25.
  25. Kumaraswamy, M.M., & Morris, D.A. (2002). Build–operate–transfer type procurement in Asian megaprojects. Journal of Construction Engineering and Management, 128(2), 93–102.
    26.
  26. Kumaraswamy, M.M., & Zhang, X.Q. (2001). Governmental role in BOT-led infrastructure development. International Journal of Project Management, 19(4), 195–205.
    27.
  27. Kwak, Y.H., Chih, Y., Ibbs, C.W. (2009). Towards a comprehensive understanding of public private partnerships for infrastructure development. California Management Review, 51(2), 51–78.
    28.
  28. Lee, A.H.I., Chen, H.H., Kang, H.Y. (2009). Mulit-criteria decision making on strategy of wind farms. Renew Energy, 34(1), 120-126.
    29.
  29. Lin, CL, & Tzeng, G.H. (2009). A value-created system of science (technology) park by using DEMATEL. Expert Systems with Applications, 36(6), 9683-9697.
    30.
  30. Liu, T., & Wilkinson, S. (2011). Adopting innovative procurement techniques: obstacles and drivers for adopting public private partnerships in New Zealand. Construction Innovation, 11(4), 452–469.
    31.
  31. Luo, J., Gale, A., He, X.X. (2001). Investing in the Chinese construction industry via joint ventures. Building Research and Information, 29(4), 277–285.
    32.
  32. Ng, S.T., Xie, J.Z., Cheung, Y.K., Jefferies, M. (2007). A simulation model for optimizing the concession period of public–private partnerships schemes. International Journal of Project Management, 25(8), 791–798.
    33.
  33. Osei-Kyei, R., & Chan, A.P.C. (2015). Review of studies on the Critical Success Factors for Public–Private Partnership (PPP) projects from 1990 to 2013. International Journal of Project Management, 33(6), 1335-1346.
    34.
  34. Russell, A.D., Tawiah, P., De Zoysa, S. (2006). Project innovation- a function of procurement mode?. Canadian Journal of Civil Engineering, 33(12), 1519–1537.
    35.
  35. Saaty, T.L. (1996). Decision making with dependence and feedback: the analytic network process. Pittsburgh, PA: RWS Publication.
    36.
  36. Sevkli, M., Oztekin, A., Uysal, O., Torlak, G., Turkyilmaz, A., Delen, D. (2012). Development of a fuzzy ANP based SWOT analysis for the airline industry in Turkey. Expert Systems with Applications, 39(1), 14–24.
    37.
  37. Shen, L.Y., Platten, A., Deng, X.P. (2006). Role of public private partnerships to manage risks in public sector projects in Hong Kong. International Journal of Project Management, 24(7), 587–594.
    38.
  38. Singh, B.L., & Kalidindi, S.N. (2006). Traffic revenue risk management through Annuity Model of PPP road projects in India. International Journal of Project Management, 24(7), 605–613.
    39.
  39. Skietrys, E., Raipa, A., Bartkus, E.V. (2008). Dimensions of the efficiency of public–private partnership. Engineering Economics, 58(3), 45-50.
    40.
  40. Smyth, H., & Edkins, A. (2007). Relationship management in the management of PFI/PPP projects in the UK. International Journal of Project Management, 25(3), 232-240.
    41.
  41. Tang, L.Y., Shen, Q., Cheng, E.W. (2010). A review of studies on public–private partnership projects in the construction industry. International Journal of Project Management, 28(7), 683–694.
    42.
  42. Tseng, M.L. (2009). Using the extension of DEMATEL to integrate hotel service quality perceptions into a cause effect model in uncertainty. Expert Systems with Applications, 36(5), 9015-9023.
    43.
  43. Tzeng, G.H., Chiang, C.H., Lin, C.W. (2007). Evaluating intertwined effects in e-learning programs: a novel hybrid MCDM model based on factor analysis and DEMATEL. Expert Systems with Applications, 32(4), 1028-1044.
    44.
  44. Uygun, O., Canvar Kahveci, T., Taskın, H., Piristine, B. (2015). Readiness assessment model for institutionalization of SMEs using fuzzy hybrid MCDM techniques. Computers & Industrial Engineering, 88, 217-228.
    45.
  45. Uygun, O., Kacamak, H., Atakan Kahraman, U. (2014). An integrated DEMATEL and Fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company. Computers & Industrial Engineering, 86, 137-146.
    46.
  46. Wang, X., Liu, Z., Cai, Y. (2015). A rating based fuzzy analytic network process (F-ANP) model for evaluation of ship maneuverability. Ocean Engineering, 106, 39-46.
    47.
  47. Wibowo, A. (2004). Valuing guarantees in a BOT infrastructure project. Engineering, Construction and Architectural Management. 11(6), 395–403.
    48.
  48. Winch, G.M. (2000). Institutional reform in British construction: partnering and private finance. Building Research and Information, 28(2), 141–155.
    49.
  49. Wu, W.W. (2008). Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Systems with Applications, 35(3), 828-835.
    50.
  50. Wu, W.W, & Lee, Y.T. (2007). Developing global manager’s competencies using fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499-507.
    51.
  51. Yang, H., & Chang, K. (2012). Combining means-end chain and fuzzy ANP to explore customers’ decision process in selecting bundle. International Journal of Information Management, 32(4), 381-395.
    52.
  52. Ye, S., & Tiong, R.K.L. (2003). The effect of concession period design on completion risk management of BOT projects. Construction Management and Economics, 21(5), 471–482.
    53.
  53. Ysa, T. (2007). Governance forms in urban public–private partnerships. International Public Management Journal, 10(1), 35–57.
    54.
  54. Zhang, X.Q., Kumaraswamy, M.M., Zheng, W., Palaneeswaran, E. (2002). Concessionaire selection for build–operate–transfer tunnel projects in Hong Kong. Journal of Construction Engineering and Management, 128(2), 155–163.
    55.
  55. Zheng, G., Jing, Y., Huang, H., Shi, G., Zhang, X. (2010). Developing a fuzzy analytic hierarchical process model for building energy conservation assessment. Renewable Energy, 35(1), 78-87.
    56.

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