Emergence and Evolution of Network Structures in Complex Interorganizational Project Teams

Garcia, Angelo Joseph; Mollaoglu, Sinem; Frank, Kenneth A.; Duva, Meltem; Zhao, Dong

doi:10.1061/(asce)me.1943-5479.0000951

Cited by 21 publications

(13 citation statements)

References 64 publications

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“…Interdependence quantification is key to managing the associated project systemic risks. In this respect, the interdependence between project contractors was shown to be best analyzed using network analysis techniques (Chinowsky et al 2011;Garcia et al 2021;Liu et al 2022). Network analysis techniques are based on complex network theory (CNT), where a network is made up of nodes and links (Barabási and Pósfai 2016), where the nodes represent the elements among which interdependence is to be quantified and the links represent the extent/nature of such interdependence (Keung and Shen 2013).…”

Section: Systemic Risk Management and Project Key Performance Indicatorsmentioning

confidence: 99%

“…For example, it has been quantified based on the stakeholders' involvement in the activities network (Zhu and Mostafavi 2017) or based on their resource sharing or contractual relationships (Mok and Shen 2016;On Cheung et al 2018). Other studies have quantified interdependence based on the knowledge transfer among project stakeholders (Chinowsky et al 2011;Garcia et al 2021;Goforth et al 2022). In the study performed by Qiang et al (2021), interdependence was quantified using a dynamic network approach, considering the number of collaborations between different stakeholders.…”

Section: Systemic Risk Management and Project Key Performance Indicatorsmentioning

confidence: 99%

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Managing Interdependence-Induced Systemic Risks in Infrastructure Projects

Moussa

El‐Dakhakhni

2022

J. Manage. Eng.

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Complex by nature, infrastructure megaprojects rarely meet stakeholders' expectations. A key characteristic of such complexity is the interdependence among different project stakeholders (e.g., contractors) where disruption of one contractor's work may instigate (systemlevel) systemic risks, resulting in poor key performance indicators (KPIs) of the whole project. Attributed to the lack of appropriate analysis and quantification tools, managing the systemic risks resulting from such interdependence remains challenging. The current study fills this knowledge gap through proactive systemic risk management (i.e., early identification, analysis, mitigation, and continuous monitoring).The study enhanced and operationalized a previously developed conceptual framework, in which interdependence was quantified through employing complex network theoretic measures. Specifically, the current study correlated contractor interdependence to project KPIs in order to assess associated project systemic risks. Subsequently, a metaheuristic optimization technique was employed to reorganize the project's schedule-effectively managing interdependence-induced risks. To demonstrate the utility of the developed methodology, a power infrastructure project was considered. Finally, the study provides valuable insights to improve the performance of complex infrastructure projects through proactive systemic risk management, ultimately enhancing the overall project's hyper resilience (i.e., to interdependence-induced disruptions).

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Section: Systemic Risk Management and Project Key Performance Indicatorsmentioning

confidence: 99%

Section: Systemic Risk Management and Project Key Performance Indicatorsmentioning

confidence: 99%

Managing Interdependence-Induced Systemic Risks in Infrastructure Projects

Moussa

El‐Dakhakhni

2022

J. Manage. Eng.

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“…Network centralization is defined as the degree to which communication flows disproportionately through one or more members of the team, rather than being more equally distributed. 16 Drawing upon the existing research on communication networks of engineering project teams, as featured in mainstream peer-reviewed papers and case studies, 7 , 17 , 18 this study summarizes three communication network structures from the perspective of differences in network centralization. These structures include the fully connected structure, the community structure, and the core-periphery structure.…”

Section: Introductionmentioning

confidence: 99%

“…This resembles a small-world network, where the clustering coefficient is high and the average path length is low within clusters, while long-distance ties exist between different clusters. 18 , 34…”

Section: Introductionmentioning

confidence: 99%

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Unveiling the Impact of Communication Network on Engineering Project Team Performance: The Interplay of Centralization and Tie Strength

Ding,

Shi,

Xiao

2024

PRBM

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Purpose Recent research has focused on the impact of communication networks on the performance of construction project teams, attempting empirical exploration from various social network analysis perspectives. However, there is still a significant gap in understanding the variations in performance and the mechanisms for teams using different communication networks. Drawing from organizational learning theory and social network theory, this study, based on the Input-Mediator-Output (IMO) model, explores the effects of the interaction between centralization and tie strength in communication networks on team performance, as well as the mediating mechanisms of knowledge sharing behavior and team resilience performance in engineering project teams. Methods Drawing on classic group communication experiment, we design an online communication and collaboration platform to simulate the execution of a construction engineering project. Finally, data was collected through the communication experiment with 720 participants, and hypotheses were tested using ANOVA and PROCESS. Results The results indicate that under conditions of weak tie strength, centralized communication networks yield higher performance. Conversely, under conditions of strong tie strength, decentralized communication networks demonstrate superior performance. Furthermore, this study also verifies the mediating role of knowledge sharing behavior and team resilience performance when tie strength is strong. Conclusion This study focuses on engineering project team, exploring the evolutionary development of knowledge sharing behavior and team resilience performance from the perspective of the interaction of communication network structural characteristics, as well as the paths to enhancing team performance. Our research results highlight the interactive effects of structural indicators and relational indicators of communication networks, revealing the mechanism by which the structure of communication networks impacts team performance. Additionally, from the perspectives of forming and timely adjusting team communication models, and motivating and supporting employee communication behavior, our study provides practical insights for project managers and relevant administrators.

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Harnessing the Concept of Emergence for Improved Planning and Decision-Making in the Built Environment

Jalloul,

Choi

2024

Lecture Notes in Civil Engineering

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Emergence and Evolution of Network Structures in Complex Interorganizational Project Teams

Cited by 21 publications

References 64 publications

Managing Interdependence-Induced Systemic Risks in Infrastructure Projects

Managing Interdependence-Induced Systemic Risks in Infrastructure Projects

Unveiling the Impact of Communication Network on Engineering Project Team Performance: The Interplay of Centralization and Tie Strength

Harnessing the Concept of Emergence for Improved Planning and Decision-Making in the Built Environment

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