Chapter
Mar 7, 2022

Project Team Collaborations during Time of Disruptions: Transaction Costs, Knowledge Flows, and Social Network Theory Perspective

Publication: Construction Research Congress 2022

ABSTRACT

The project-based nature of the construction industry requires organizations to establish temporary alliances to complete projects within required limitations (e.g., time, cost, and quality). While projects endure many risks during delivery, times of disruption (ToD), such as economic crises, extreme weather, and epidemics can create greater strains on teams, specifically hindering integration elements critical to success of project teams. Motivated by the need to improve team integration in inter-organizational and interdisciplinary construction project teams, in the light of social network theory, this study poses to identify problems regarding transaction costs (TC) and knowledge transfers (KT) during ToD: breakout of the COVID-19 pandemic. To achieve this aim, the researchers conducted and analyzed interviews with core members of a complex project team involving over 85 organizations. The results provide insights to common communication problems in complex project teams leading to suboptimal team and project performance outcomes and potential remedies to reduce TC during ToD. The insights include unique contributions to team functioning under abrupt changes to meeting modality (i.e., from in-person to virtual and then to hybrid modality during the pandemic).

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REFERENCES

Akintoye, A. S., and MacLeod, M. J. (1997). Risk analysis and management in construction. International journal of project management, 15(1), 31–38.
Atkinson, R. (1999). Project management: cost, time, and quality, two best guesses and a phenomenon, it’s time to accept other success criteria. International journal of project management, 17(6), 337–342.
Bayhan, H. G., and Demirkesen, S. (2019). Impact of trust on partnership selection in the construction industry.
Borgatti, S. P., and Cross, R. (2003). A relational view of information seeking and learning in social networks. Management science, 49(4), 432–445.
Borgatti, S. P., and Ofem, B. (2010). Social network theory and analysis. Social network theory and educational change, 17–29.
Coase, R. (1937). “The nature of the firm.” Economica, 4(16), 386–405.
David, R. J., and Han, S. K. (2004). A systematic assessment of the empirical support for transaction cost economics. Strategic management journal, 25(1), 39–58.
Eccles, R. G. (1981). The quasifirm in the construction industry. Journal of economic behavior & organization, 2(4), 335–357.
Eisenhardt, K. M. (1989). Agency theory: An assessment and review. Academy of management review, 14(1), 57–74.
Foss, N. J., Husted, K., and Michailova, S. (2010). Governing knowledge sharing in organizations: Levels of analysis, governance mechanisms, and research directions. Journal of management studies, 47(3), 455–482.
Garcia, A., and Mollaoglu, S. (2020). Individuals’ capacities to apply transferred knowledge in AEC project teams. Journal of construction engineering and management, 146(4), 04020016.
Granovetter, M. (1985). Economic action and social structure: the problem of embeddedness. American journal of sociology, 91(3), 481–510.
Grant, R. M. (1996). Toward a knowledge‐based theory of the firm. Strategic management journal, 17(S2), 109–122.
Grover, V., and Malhotra, M. K. (2003). Transaction cost framework in operations and supply chain management research: theory and measurement. Journal of operations management, 21(4), 457–473.
Hansen, M. T. (2002). Knowledge networks: Explaining effective knowledge sharing in multiunit companies. Organization science, 13(3), 232–248.
Helmold, M. (2020). Lean Management and Kaizen. Springer international publishing.
Jobin, D. (2008). A Transaction cost-based approach to partnership performance evaluation. Evaluation, 14(4), 437–465.
Joskow, P. L. (1985). Vertical integration and long-term contracts: The case of coal-burning electric generating plants. Journal of law, economics, & organization, 1(1), 33–80.
Joskow, P. L. (1988). Asset specificity and the structure of vertical relationships: empirical evidence. Journal of law, economics, & organization, 4(1), 95–117.
Kogut, B., and Zander, U. (1992). Knowledge of the firm, combinative capabilities, and the replication of technology. Organization science, 3(3), 383–397.
Kotnour, T. (2000). Organizational learning practices in the project management environment. International Journal of quality & reliability management.
Landaeta, R. E. (2008). Evaluating benefits and challenges of knowledge transfer across projects. Engineering management journal, 20(1), 29–38.
Landaeta, R., and Kotnour, T. (2005, October). Knowledge systems. Proceedings of the American society for engineering management national conference (pp. 194–199).
Li, H., Arditi, D., and Wang, Z. (2012). Transaction-related issues and construction project performance. Construction management and economics, 30(2), 151–164.
Li, H., Arditi, D., and Wang, Z. (2013). Factors that affect transaction costs in construction projects. Journal of construction engineering and management, 139(1), 60–68.
Li, H., Arditi, D., and Wang, Z. (2015). Determinants of transaction costs in construction projects. Journal of civil engineering and management, 21(5), 548–558.
Macher, J. T., and Richman, B. D. (2008). Transaction cost economics: An assessment of empirical research in the social sciences. Business and politics, 10(1), 1–63.
March, J. G. (1978). Bounded rationality, ambiguity, and the engineering of choice. Bell journal of economics, 587–608.
Mollaoglu-Korkmaz, S., Miller, V. D., and Sun, W. (2014). Assessing key dimensions to effective innovation implementation in interorganizational project teams: an Integrated Project Delivery case. Engineering Project Organization Journal, 4(1), 17–30.
Müller-Prothmann, T. (2007). Social network analysis: a practical method to improve knowledge sharing. Hands-on knowledge co-creation and sharing, 219–233.
Pryke, S. D. (2004). Analyzing construction project coalitions: exploring the application of social network analysis. Construction management and economics, 22(8), 787–797.
Sampson, R. C. (2004). Organizational choice in R&D alliances: Knowledge‐based and Transaction cost perspectives. Managerial and Decision Economics, 25(6‐7), 421–436.
Schröpfer, V., Tah, J., and Kurul, E. (2017). Mapping the knowledge flow in sustainable construction project teams using social network analysis. Engineering, construction, and architectural management.
Simon, H. A. (1991). Bounded rationality and organizational learning. Organization science, 2(1), 125–134.
Taylor, J. E., and Levitt, R. (2007). Innovation alignment and project network dynamics: An integrative model for change. Project management journal, 38(3), 22–35.
Teece, D. J. (1986). Transactions cost economics and the multinational enterprise: An Assessment. Journal of economic behavior & organization, 7(1), 21–45.
Whittington, J. M. (2008). The transaction cost economics of highway project delivery: design-build contracting in three states. University of California, Berkeley.
Williamson, O. (1979). Transaction-cost economics: the governance of contractual relations. Journal of law and economics, 22(2), 233–261.
Williamson, O. (1993). Opportunism and its critics. Managerial and decision economics, 97–107.
Winch, G. (1989). The construction firm and the construction project: a transaction cost approach. Construction management and economics, 7(4), 331–345.
Winch, G. (2001). Governing the project process: a conceptual framework. Construction management and economics, 19(8), 799–808.
Yeung, A. K., Yeung, E. D. A. K., Ulrich, D. O., Nason, S. W., and Von Glinow, M. A. (1999). Organizational learning capability. Oxford University Press on Demand.
Yousuf, A. (2017). Transaction costs: a conceptual framework. International journal of engineering and management sciences, 2(3), 131–139.

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Go to Construction Research Congress 2022
Construction Research Congress 2022
Pages: 1012 - 1023

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Published online: Mar 7, 2022

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Hasan Gokberk Bayhan [email protected]
1Graduate Research Assistant, School of Planning, Design, and Construction, Michigan State Univ., East Lansing, MI. Email: [email protected]
Sinem Mollaoglu [email protected]
2Professor, School of Planning, Design, and Construction, Michigan State Univ., East Lansing, MI. Email: [email protected]
Hanzhe Zhang [email protected]
3Assistant Professor, Dept. of Economics, Michigan State Univ., East Lansing, MI. Email: [email protected]
Kenneth A. Frank [email protected]
4Professor, Dept. of Counseling, Educational Psychology and Special Education, Michigan State Univ., East Lansing, MI. Email: [email protected]

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  • Team Collaborations during Times of Disruption: Transaction Costs and Social Network Perspective with Hierarchical Linear Modeling, Construction Research Congress 2024, 10.1061/9780784485286.070, (701-710), (2024).

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