Functional Evaluation of Change Order and Invoice Management Processes under Different Procurement Strategies: Social Network Analysis Approach
Publication: Journal of Construction Engineering and Management
Volume 147, Issue 1
Abstract
As construction projects become more complex, making strategic decisions such as selecting the appropriate delivery method and the right type of contract becomes more convoluted. Several studies have realized that delays in progress payments and change orders during construction projects are among the main causes of overruns in megaprojects. Using social network analysis (SNA), the present paper examines the effect of different types of project delivery methods and contract types on these factors through an organizational lens. The three main research objectives of the study include (1) finding the most prominent actors who control the change and invoice processing procedures; (2) examining the contribution of different delivery methods to these workflows; and (3) evaluating the effect of contract type on the behavior and characteristics of project’s key actors. Two project delivery methods (design–bid–build and design–build) and three contract types [unit price, lump sum, and engineering, procurement, and construction (EPC)] are examined. Correlations were identified among the roles (rather than actors) and strategic positions in the networks. The constructive involvement of the owner in the invoice process of an EPC contract was also identified as an advantage of such a procurement strategy. On the other hand, although traditional delivery methods have more egocentric and hierarchical social networks, it became apparent that regular periodic meetings in such projects reduce the number of bridges between individuals/clusters and hence can decrease the risk of bottlenecks in the processes. The main contributions of the paper include providing an analytical tool for the analysis of projects’ actor networks; as well as performing a functional comparison among the three common delivery methods and contract types through the behavior of actor networks in three case-study projects. Besides laying out an approach for owners to decide on the project delivery method, this study sheds some light on the multilayer structure of project social networks and promotes SNA as a fruitful technique for analyzing project behavior.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors would like to acknowledge the assistance received from the management and personnel of Banaye Rastin Company (Tehran, Iran) during different steps of data collection and validation.
References
Abbasian-Hosseini, A., M. Liu, and S. M. Hsiang. 2019. “Social network analysis for construction crews.” Int. J. Constr. Manage. 19 (2): 113–127. https://doi.org/10.1080/15623599.2017.1389642.
Akgul, B., B. Ozorhon, I. Dikmen, and M. Birgonul. 2017. “Social network analysis of construction companies operating in international markets: Case of Turkish contractors.” J. Civ. Eng. Manage. 23 (3): 327–337. https://doi.org/10.3846/13923730.2015.1073617.
Assaf, S., and S. Al-Hejji. 2006. “Causes of delay in large construction projects.” Int. J. Project Manage. 24 (4): 349–357. https://doi.org/10.1016/j.ijproman.2005.11.010.
Baccarini, D. 1996. “The concept of project complexity—A review.” Int. J. Project Manage. 14 (4): 201–204. https://doi.org/10.1016/0263-7863(95)00093-3.
Bastian, M., S. Heymann, and M. Jacomy. 2009. “Gephi: An open source software for exploring and manipulating networks.” In Proc., Int. AAAI Conf. on Weblogs and Social Media. Menlo Park, CA: Association for the Advancement of Artificial Intelligence.
Chinowsky, P., J. Diekmann, and V. Galotti. 2008. “Social network model of construction.” J. Constr. Eng. Manage. 134 (10): 804–812. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:10(804.
Di Marco, M. K., J. E. Taylor, and P. Alin. 2010. “Emergence and role of cultural boundary spanners in global engineering project networks.” J. Manage. Eng. 26 (3): 123–132. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000019.
Di Vincenzo, F., and D. Mascia. 2012. “Social capital in project-based organizations: Its role, structure, and impact on project performance.” Int. J. Project Manage. 30 (1): 5–14. https://doi.org/10.1016/j.ijproman.2011.03.006.
Heravi, G., and M. Mohammadian. 2017. “Cost overruns and delay in municipal construction projects in developing countries.” AUT J. Civ. Eng. 1 (1): 31–38. https://doi.org/10.22060/ceej.2017.12189.5163.
Hossain, L. 2009. “Effect of organisational position and network centrality on project coordination.” Int. J. Project Manage. 27 (7): 680–689. https://doi.org/10.1016/j.ijproman.2008.11.004.
Hwang, B. G., and L. Low. 2012. “Construction project change management in Singapore: Status, importance and impact.” Int. J. Project Manage. 30 (7): 817–826. https://doi.org/10.1016/j.ijproman.2011.11.001.
Kereri, J., and C. M. Harper. 2018. “Trends in social network research in construction teams: A literature review.” In Proc., Construction Research Congress 2018, 115–125. Reston, VA: ASCE.
Koushki, P., K. Al-Rashid, and N. Kartam. 2005. “Delays and cost increases in the construction of private residential projects in Kuwait.” Constr. Manage. Econ. 23 (3): 285–294. https://doi.org/10.1080/0144619042000326710.
Luu, D., S. Ng, and S. Chen. 2003. “Parameters governing the selection of procurement system—An empirical survey.” Eng. Constr. Archit. Manage. 10 (3): 209–218. https://doi.org/10.1108/09699980310478458.
Malisiovas, A., and X. Song. 2014. “Social network analysis (SNA) for construction projects’ team communication structure optimization.” In Proc., Construction Research Congress 2014, 2032–2042. Reston, VA: ASCE.
Monaghan, S., J. Lavelle, and P. Gunnigle. 2017. “Mapping networks: Exploring the utility of social network analysis in management research and practice.” J. Bus. Res. 76 (Jul): 136–144. https://doi.org/10.1016/j.jbusres.2017.03.020.
Nik-Bakht, M., and T. El-Diraby. 2016. “Communities of interest–interest of communities: Social and semantic analysis of communities in infrastructure discussion networks.” Comput.-Aided Civ. Infrastruct. Eng. 31 (1): 34–49. https://doi.org/10.1111/mice.12152.
Nik-Bakht, M., and T. El-Diraby. 2017. “Project collective mind: Unlocking project discussion networks.” Autom. Constr. 84 (Dec): 50–69. https://doi.org/10.1016/j.autcon.2017.08.026.
Pourrostam, T., and A. Ismail. 2012. “Causes and effects of delays in Iranian construction projects.” Int. J. Eng. Technol. 4 (5): 598–601. https://doi.org/10.7763/IJET.2012.V4.441.
Pryke, S. 2012. Social network analysis in construction. Hoboken, NJ: Wiley.
Pryke, S. 2017. Managing networks in project-based organizations. Hoboken, NJ: Wiley.
Ruan, X., E. G. Ochieng, and A. D. F. Price. 2011. “The evaluation of social network analysis application’s in the UK construction industry.” In Proc., 27th Annual ARCOM Conf., edited by C. Egbu and E. C. W. Lou, 5–7. Bristol, UK: Association of Researchers in Construction Management.
Tichy, N., M. Tushman, and C. Fombrun. 1979. “Social network analysis for organizations.” Acad. Manage. Rev. 4 (4): 507–519. https://doi.org/10.5465/amr.1979.4498309.
Wambeke, B. W., M. Liu, and S. M. Hsiang. 2012. “Using Pajek and centrality analysis to identify a social network of construction trades.” J. Constr. Eng. Manage. 138 (10): 1192–1201. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000524.
Wasserman, S., and K. Faust. 1994. Social network analysis: Methods and applications. Cambridge, UK: Cambridge University Press.
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Published In
Journal of Construction Engineering and Management
Volume 147 • Issue 1 • January 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Feb 21, 2020
Accepted: Aug 24, 2020
Published online: Nov 6, 2020
Published in print: Jan 1, 2021
Discussion open until: Apr 6, 2021
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