Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/taf/conmgt/v31y2013i11p1128-1143.html
   My bibliography  Save this article

Development of a conceptual team integration performance index for alliance projects

Author

Listed:
  • Che khairil Izam Che Ibrahim
  • Seosamh B. Costello
  • Suzanne Wilkinson
Abstract
Project alliancing, also known as collaborative contracting, is designed to foster integration practice between multidisciplinary teams involved in delivering construction projects. If continuous improvement in project alliances is to be achieved through the use of integrated teams, a means of assessing how well teams integrate and how that integration changes over time needs to be introduced. As part of a wider study to develop an assessment tool for team integration in road construction alliance projects, key indicators (KIs) are identified for measuring team integration practice. It is necessary to identify not only the relevant KIs, but also which indicators are dominant, thereby focusing the attention of owners and non-owner participants (NOPs) on those that will have the greatest impact on alliance team integration. Seventeen experienced road construction alliance practitioners participated in four rounds of a Delphi questionnaire to identify the KIs. The resulting seven team integration practice KIs were: team leadership; trust and respect; a single team focus on project objectives and key result areas (KRAs); collective understanding; commitment from project alliance board; creation of single and co-located alliance team; and free flow communication. A conceptual alliance team integration performance index (ATIPI) was then developed based on the identified KIs and their relative significance. The ATIPI takes the form of a linear additive weighting model, consisting of a measure for each of the identified KIs and a corresponding weighting coefficient, identified as part of this research. A linear additive weighting model is considered appropriate based on the lack of correlation between the KIs, thus suggesting that they can be considered as independent variables in the ATIPI. The measures for each KI will be determined as part of future research and will result in a fully working model for the ATIPI.

Suggested Citation

  • Che khairil Izam Che Ibrahim & Seosamh B. Costello & Suzanne Wilkinson, 2013. "Development of a conceptual team integration performance index for alliance projects," Construction Management and Economics, Taylor & Francis Journals, vol. 31(11), pages 1128-1143, November.
    • Handle: RePEc:taf:conmgt:v:31:y:2013:i:11:p:1128-1143
    DOI: 10.1080/01446193.2013.854399
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01446193.2013.854399
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01446193.2013.854399?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Albert Chan & Esther Yung & Patrick Lam & C. M. Tam & S. O. Cheung, 2001. "Application of Delphi method in selection of procurement systems for construction projects," Construction Management and Economics, Taylor & Francis Journals, vol. 19(7), pages 699-718.
    2. F. Hutton Barron & Bruce E. Barrett, 1996. "Decision Quality Using Ranked Attribute Weights," Management Science, INFORMS, vol. 42(11), pages 1515-1523, November.
    3. John Yeung & Albert Chan & Daniel Chan, 2008. "Establishing quantitative indicators for measuring the partnering performance of construction projects in Hong Kong," Construction Management and Economics, Taylor & Francis Journals, vol. 26(3), pages 277-301.
    4. Odysseus Manoliadis & Ioannis Tsolas & Alexandra Nakou, 2006. "Sustainable construction and drivers of change in Greece: a Delphi study," Construction Management and Economics, Taylor & Francis Journals, vol. 24(2), pages 113-120.
    5. John Yeung & Albert Chan & Daniel Chan & Leong Kwan Li, 2007. "Development of a partnering performance index (PPI) for construction projects in Hong Kong: a Delphi study," Construction Management and Economics, Taylor & Francis Journals, vol. 25(12), pages 1219-1237.
    6. Andrew Dainty & Mei-I Cheng & David Moore, 2003. "Redefining performance measures for construction project managers: an empirical evaluation," Construction Management and Economics, Taylor & Francis Journals, vol. 21(2), pages 209-218.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Heikki Halttula & Harri Haapasalo & Aki Aapaoja & Samuli Manninen, 2017. "Early Involvement and Integration in Construction Projects: The Benefits of DfX in Elimination of Wastes," International Journal of Management, Knowledge and Learning, International School for Social and Business Studies, Celje, Slovenia, vol. 6(2), pages 215-237.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alyami, Saleh. H. & Rezgui, Yacine & Kwan, Alan, 2013. "Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 43-54.
    2. Podinovski, Vladislav V., 2020. "Maximum likelihood solutions for multicriterial choice problems," European Journal of Operational Research, Elsevier, vol. 286(1), pages 299-308.
    3. Paul L. Goethals & Natalie M. Scala, 2018. "Eliminating the Weakest Link Approach to Army Unit Readiness," Decision Analysis, INFORMS, vol. 15(2), pages 110-130, June.
    4. Stephen P. Chambal & Jeffery D. Weir & Yucel R. Kahraman & Alex J. Gutman, 2011. "A Practical Procedure for Customizable One-Way Sensitivity Analysis in Additive Value Models," Decision Analysis, INFORMS, vol. 8(4), pages 303-321, December.
    5. Sheng Tun Li & Thuong Thi Pham & Hui Chi Chuang & Zhi-Wei Wang, 2016. "Does reliable information matter? Towards a trustworthy co-created recommendation model by mining unboxing reviews," Information Systems and e-Business Management, Springer, vol. 14(1), pages 71-99, February.
    6. Dorota Kuchta & Paolo Canonico & Vincenza Capone & Guido Capaldo, 2023. "Uncertainty in the Planning Phase of Public Projects—Its Scope, Consequences, and Possible Remedies," Administrative Sciences, MDPI, vol. 13(6), pages 1-17, June.
    7. Luis V. Montiel & J. Eric Bickel, 2014. "A Generalized Sampling Approach for Multilinear Utility Functions Given Partial Preference Information," Decision Analysis, INFORMS, vol. 11(3), pages 147-170, September.
    8. Jin Kook Yang & Le Dinh Thuc & Pham Phu Cuong & Nguyen Van Du & Huu‐Bang Tran, 2023. "Evaluating a driving index of nonresidential green building implementation for sustainable development in developing countries from a Vietnamese perspective," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1720-1734, June.
    9. Jay Simon, 2020. "Weight Approximation for Spatial Outcomes," Sustainability, MDPI, vol. 12(14), pages 1-18, July.
    10. Serdar Durdyev & Edmundas Kazimieras Zavadskas & Derek Thurnell & Audrius Banaitis & Ali Ihtiyar, 2018. "Sustainable Construction Industry in Cambodia: Awareness, Drivers and Barriers," Sustainability, MDPI, vol. 10(2), pages 1-19, February.
    11. Durbach, Ian N. & Stewart, Theodor J., 2012. "A comparison of simplified value function approaches for treating uncertainty in multi-criteria decision analysis," Omega, Elsevier, vol. 40(4), pages 456-464.
    12. Iyer K. Chandrashekhar & Banerjee Partha S., 2019. "Identifying New Knowledge Areas to Strengthen the Project Management Institute (PMI) Framework," Organization, Technology and Management in Construction, Sciendo, vol. 11(1), pages 1892-1903, March.
    13. B. Ahn & S. Choi, 2012. "Aggregation of ordinal data using ordered weighted averaging operator weights," Annals of Operations Research, Springer, vol. 201(1), pages 1-16, December.
    14. Majid Zerafat Angiz Langroudi & Ali Emrouznejad & Adli Mustafa & Joshua Ignatius, 2013. "Type-2 TOPSIS: A Group Decision Problem When Ideal Values are not Extreme Endpoints," Group Decision and Negotiation, Springer, vol. 22(5), pages 851-866, September.
    15. Hsu-Shih Shih, 2016. "A Mixed-Data Evaluation in Group TOPSIS with Differentiated Decision Power," Group Decision and Negotiation, Springer, vol. 25(3), pages 537-565, May.
    16. Francesco Ciardiello & Andrea Genovese, 2023. "A comparison between TOPSIS and SAW methods," Annals of Operations Research, Springer, vol. 325(2), pages 967-994, June.
    17. Aksoy, Lerzan & Cooil, Bruce & Lurie, Nicholas H., 2011. "Decision Quality Measures in Recommendation Agents Research," Journal of Interactive Marketing, Elsevier, vol. 25(2), pages 110-122.
    18. Aldossary, Naief A. & Rezgui, Yacine & Kwan, Alan, 2015. "Consensus-based low carbon domestic design framework for sustainable homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 417-432.
    19. Hovanov, Nikolai & Yudaeva, Maria & Hovanov, Kirill, 2009. "Multicriteria estimation of probabilities on basis of expert non-numeric, non-exact and non-complete knowledge," European Journal of Operational Research, Elsevier, vol. 195(3), pages 857-863, June.
    20. Yang, Feng & Ang, Sheng & Xia, Qiong & Yang, Chenchen, 2012. "Ranking DMUs by using interval DEA cross efficiency matrix with acceptability analysis," European Journal of Operational Research, Elsevier, vol. 223(2), pages 483-488.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:conmgt:v:31:y:2013:i:11:p:1128-1143. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RCME20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.