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Analysing construction project coalitions: exploring the application of social network analysis

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  • Stephen D. Pryke

Abstract

The construction industry is currently in transition as a result of innovations in procurement and project management approaches, in particular, the utilization of supply chain management, and technology or work clusters in the context of partnering relationships between project coalition actors and the client organization. These new strategies require an analytical method that deals with actor interdependence and provides an appropriate level of detail and quantitative data in relation to the non-linear, complex, iterative and interactive process that construction projects comprise. The construction project is conceptualized as a number information exchange networks, classified according to the principal project functions and supported by performance incentive and contractual relationship networks. The point centrality of the project actors within these various networks provides quantitative data and graphical representation of the governance of construction projects and the changes brought about by innovations in procurement and project management techniques. Social network analysis (SNA) provides an important new quantitative approach in the comparative analysis of procurement and project management of construction projects. SNA enables traditional project coalition management approaches to be compared with those associated with innovative management approaches. Quantitative analysis relates to the appropriateness and effectiveness of both financial incentives and contractual conditions involved in the governance of construction projects.

Suggested Citation

  • Stephen D. Pryke, 2004. "Analysing construction project coalitions: exploring the application of social network analysis," Construction Management and Economics, Taylor & Francis Journals, vol. 22(8), pages 787-797, October.
    • Handle: RePEc:taf:conmgt:v:22:y:2004:i:8:p:787-797
    DOI: 10.1080/0144619042000206533
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    Cited by:

    1. Nuno Oliveira & Fabrice Lumineau, 2017. "How Coordination Trajectories Influence the Performance of Interorganizational Project Networks," Organization Science, INFORMS, vol. 28(6), pages 1029-1060, December.
    2. Khalil, Kathayoon & Ardoin, Nicole M. & Wojcik, Deborah, 2017. "Social learning within a community of practice: Investigating interactions about evaluation among zoo education professionals," Evaluation and Program Planning, Elsevier, vol. 61(C), pages 45-54.
    3. Pero, Margherita & Stößlein, Martin & Cigolini, Roberto, 2015. "Linking product modularity to supply chain integration in the construction and shipbuilding industries," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 602-615.
    4. Peterman, Andrew & Kourula, Arno & Levitt, Raymond, 2014. "Balancing act: Government roles in an energy conservation network," Research Policy, Elsevier, vol. 43(6), pages 1067-1082.
    5. Annalisa Caloffi & Stephen Pryke & Silvia R Sedita & Matti Siemiatycki, 2017. "Public–private partnerships and beyond: Potential for innovation and sustainable development," Environment and Planning C, , vol. 35(5), pages 739-745, August.
    6. Ceric Anita & Ivic Ivona, 2021. "Network analysis of interconnections between theoretical concepts associated with principal–agent theory concerning construction projects," Organization, Technology and Management in Construction, Sciendo, vol. 13(2), pages 2450-2464, January.
    7. Silvia Rita Sedita & Roberta Apa, "undated". "Contractors networks in public procurement projects: The case of the construction industry in the Veneto region," "Marco Fanno" Working Papers 0193, Dipartimento di Scienze Economiche "Marco Fanno".
    8. Qing Li & Shengqiao Wang & Nicky Shaw & Victor Shi, 2019. "Supply Chain Partner Communication in a Managed Programme in the UK Water Industry: A Case Study with Social Network Analysis," IJERPH, MDPI, vol. 16(21), pages 1-20, October.
    9. Peterman, Andrew & Kourula, Arno & Levitt, Raymond, 2012. "A roadmap for navigating voluntary and mandated programs for building energy efficiency," Energy Policy, Elsevier, vol. 43(C), pages 415-426.
    10. Ranjit Singh & Jayashree Bhattacharjee & K. Kajol, 2024. "Factors Affecting Risk Perception in Respect of Equity Shares: A Social Network Analysis Approach," Vision, , vol. 28(3), pages 386-399, June.

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