Skip to main content
SpringerLink
Log in

Evaluation on Collaborative Satisfaction for Project Management Team in Integrated Project Delivery Mode

  • Original Contribution
  • Published:
Journal of The Institution of Engineers (India): Series A Aims and scope Submit manuscript

Abstract

Integrated Project Delivery (IPD) is a newly-developed project delivery approach for construction projects, and the level of collaboration of project management team is crucial to the success of its implementation. Existing research has shown that collaborative satisfaction is one of the key indicators of team collaboration. By reviewing the literature on team collaborative satisfaction and taking into consideration the characteristics of IPD projects, this paper summarizes the factors that influence collaborative satisfaction of IPD project management team. Based on these factors, this research develops a fuzzy linguistic method to effectively evaluate the level of team collaborative satisfaction, in which the authors adopted the 2-tuple linguistic variables and 2-tuple linguistic hybrid average operators to enhance the objectivity and accuracy of the evaluation. The paper demonstrates the practicality and effectiveness of the method through carrying out a case study with the method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. B. Barry, G. Stewart, Composition, process, and performance in self-managed groups: the role of personality. J. Appl. Psychol. 82(1), 62–78 (1997)

    Article  Google Scholar 

  2. S.J. Chen, L. Lin, Modeling team member characteristics for the formation of a multifunctional team in concurrent engineering. IEEE Trans. Eng. Manag. 51(2), 111–124 (2004)

    Article  Google Scholar 

  3. J.A. Carnevalli, P.C. Miguel, Review analysis and classification of the literature on QFD—types of research difficulties and benefits. Int. J. Prod. Econ. 114(2), 737–754 (2008)

    Article  Google Scholar 

  4. S.H. Chen, C.C. Yang, J.Y. Shiau et al., The development of an employee satisfaction model for higher education. TQM Mag. 18(5), 484–500 (2006)

    Article  Google Scholar 

  5. J.F. Defranco, C.J. Neill, R.B. Clariana, A cognitive collaborative model to improve performance in engineering teams: a study of team outcomes and mental model sharing. Syst. Eng. 14(3), 267–278 (2010)

    Article  Google Scholar 

  6. M. Delgado, F. Herrera, H.V. Enrique et al., A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on internet. Soft. Comput. 6(5), 320–328 (2002)

    Article  MATH  Google Scholar 

  7. Z.P. Fan, Z.J. Li, Y.H. Sun, A fuzzy evaluation method for the user satisfaction degree with knowledge management system. Intell Inf. Manag. Syst. Technol. 1(1), 21–27 (2005)

    Google Scholar 

  8. Z.P. Fan, B. Feng, W.L. Suo, A fuzzy linguistic method for evaluating collaboration satisfaction of NPD team using mutual-evaluation information. Int. J. Prod. Econ 122(2), 547–557 (2009)

    Article  Google Scholar 

  9. H. Francisco, L. Martinez, A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans. Fuzzy Syst. 8(6), 746–752 (2000)

    Article  Google Scholar 

  10. Y.Q. He, L.K. Chan, M.L. Wu, Balancing productivity and consumer satisfaction for profitability: Statistical and fuzzy regression analysis. Eur. J. Oper. Res. 176(1), 252–263 (2007)

    Article  MATH  Google Scholar 

  11. M. Hoegl, H.G. Gemuenden, Teamwork quality and the success of innovative projects: a theoretical concept and empirical evidence. Organ. Sci. 12(4), 435–449 (2001)

    Article  Google Scholar 

  12. C.C. Huang, Knowledge sharing and group cohesiveness on performance: an empirical study of technology R&D teams in Taiwan. Technovation 29(11), 786–797 (2009)

    Article  Google Scholar 

  13. D. Jamali, A study of customer satisfaction in the context of a public private partnership. Int. J. Qual. Reliab. Manag. 24(4), 370–385 (2007)

    Article  MathSciNet  Google Scholar 

  14. M. Jeong, H. Oh, Quality function deployment: an extended framework for service quality and customer satisfaction in the hospitality industry. Int. J. Hosp. Manag. 17(4), 375–390 (1998)

    Article  Google Scholar 

  15. J.A. LePine, B.R. Buckman, E.R. Crowford et al., A review of research on personality in teams: accounting for pathways spanning levels of theory and analysis. Hum. Resour. Manag. Rev. 21(4), 311–330 (2010)

    Article  Google Scholar 

  16. X.H. Lin, R. Bian, R. Zhu, Team personality composition and team effectiveness: the mediating effects of team process. Acta. Psychol. Sinica 40(4), 437–447 (2008). (in Chinese)

    Article  Google Scholar 

  17. P.D. Liu, Z.L. Guan, Hybrid multiple attribute decision making method based on 2-tuple. Control Decis 7(24), 1074–1077 (2009). (in Chinese)

    Google Scholar 

  18. Y.B. Lu, Z.L. Peng, Non-linear relationship between team member attributes and team performance: firefighting and rescue team simulation. Ind. Eng. Manag. 1, 88–93 (2007). (in Chinese)

    Google Scholar 

  19. J. MacBryde, K. Mendibil, Designing performance measurement systems for teams: theory and practice. Manag. Decis. 41(8), 722–733 (2003)

    Article  Google Scholar 

  20. A.T. Mohr, J.F. Puck, Role conflict, general manager job satisfaction and stress and the performance of IJVs. Eur. Manag. J. 25(1), 25–35 (2007)

    Article  Google Scholar 

  21. F.T.T. Phua, S. Rowlinson, How important is cooperation to construction project success? A grounded empirical quantification. Eng. Constr. Archit. Manag. 11(1), 45–54 (2004)

    Article  Google Scholar 

  22. K. Pikkarainen, T. Pikkarainen, H. Karjaluoto et al., The measurement of end-user computing satisfaction of online banking services: empirical evidence from Finland. Int. J. Bank Mark. 24(3), 158–172 (2006)

    Article  Google Scholar 

  23. S. Scott, Team performance and the problem-solving approach. J. Ind. Technol. 23(4), 12–18 (2007)

    Google Scholar 

  24. J.W. Son, E.M. Rojas, The evolution of collaboration in temporary project teams: an agent-based modeling and simulation approach. J. Constr. Eng. Manag. 137(8), 619–628 (2011)

    Article  Google Scholar 

  25. W.S. Tai, C.T. Chen, A new evaluation model for intellectual capital based on computing with linguistic variable. Expert Syst. Appl. 36(2), 3483–3488 (2009)

    Article  MathSciNet  Google Scholar 

  26. The American Institute of Architects, Integrated project delivery: a guide. California, U.S.A.: The American Institute of Architects, California Council (2007)

  27. The American Institute of Architects, Experiences in collaboration: on the path to IPD. California, U.S.A.: The American Institute of Architects, California Council (2009)

  28. Y.Q. Wang, J.J. Miao, Research on the collaboration power of project team. Sci. Technol. Prog. Policy 24(9), 46–48 (2007). (in Chinese)

    MathSciNet  Google Scholar 

  29. M.L. Williams, H.H. Brower, L.R. Ford et al., A comprehensive model and measure of compensation satisfaction. J. Occup. Organ. Psychol. 81(4), 639–668 (2008)

    Article  Google Scholar 

  30. J. Wu, W.S. Desarbo, P.J. Chen et al., A latent structure factor analytic approach for customer satisfaction measurement. Mark. Lett. 17(3), 221–238 (2006)

    Article  Google Scholar 

  31. M. Xie, K.C. Tan, T.N. Goh, Advanced QFD applications (ASQ Quality Press, Milwaukee, WI, 2003)

    Google Scholar 

  32. Z.S. Xu, An overview of determining OWA weights. Int. J. Intell. syst. 20(8), 843–865 (2005)

    Article  MATH  Google Scholar 

  33. L.A. Zadeh, The concept of a linguistic variable and its application to approximate reasoning. Inf. Sci. 8(3), 199–249 (1975)

    Article  MATH  MathSciNet  Google Scholar 

  34. S.J. Zeng, An empirical study on the impact mechanism of team cohesion on team performance. Prod. Res. 9, 197–199 (2010). (in Chinese)

    Google Scholar 

  35. Y.L. Zhang, X.H. Kuang, Approach for multi-attribute group decision-making with multi-granular linguistic preference matrices. Control Decis 23(11), 1296–1300 (2008). (in Chinese)

    MathSciNet  Google Scholar 

Download references

Acknowledgments

The work described in this article was supported by the National Natural Science Foundation of China (Project No. 71272146).

Author information

Authors and Affiliations

  1. School of Management and Economics, Tianjin University, Tianjin, China

    L. Zhang & Y. Li

  2. Engineering Company of Beijing General Research Institute of Mining and Metallurgy, 100160, Beijing, China

    Q. Wu

Authors
  1. L. Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Y. Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Q. Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to L. Zhang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, L., Li, Y. & Wu, Q. Evaluation on Collaborative Satisfaction for Project Management Team in Integrated Project Delivery Mode. J. Inst. Eng. India Ser. A 94, 109–115 (2013). https://doi.org/10.1007/s40030-013-0041-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40030-013-0041-z

Keywords

Search

Navigation