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Abotaleb, I S and El-adaway, I H (2018) First Attempt Toward a Holistic Understanding of the Interdependent Rippled Impacts Associated with Out-of-Sequence Work in Construction Projects: System Dynamics Modeling Approach. Journal of Construction Engineering and Management, 144(09).

Al-Bayati, A J and Al-Zubaidi, H A (2018) Inventory of Nanomaterials in Construction Products for Safety and Health. Journal of Construction Engineering and Management, 144(09).

Chen, R, Tan, Y, Zhang, B, Shen, W, Liu, G and Wang, Z (2018) Installation of Integral Prefabricated Bridge Abutment and Pier with Flexible Water Stop Curtain. Journal of Construction Engineering and Management, 144(09).

Cheng, M, Huang, K and Hutomo, M (2018) Multiobjective Dynamic-Guiding PSO for Optimizing Work Shift Schedules. Journal of Construction Engineering and Management, 144(09).

Chennarapu, H, Garala, T K, Chennareddy, R, Balunaini, U and Venkata Narasimha Reddy, G (2018) Compaction Quality Control of Earth Fills Using Dynamic Cone Penetrometer. Journal of Construction Engineering and Management, 144(09).

Gerami Seresht, N and Fayek, A R (2018) Dynamic Modeling of Multifactor Construction Productivity for Equipment-Intensive Activities. Journal of Construction Engineering and Management, 144(09).

Ghoddousi, P, Nasirzadeh, F and Hashemi, H (2018) Evaluating Highway Construction Projects’ Sustainability Using a Multicriteria Group Decision-Making Model Based on Bootstrap Simulation. Journal of Construction Engineering and Management, 144(09).

Hosseini, M R, Martek, I, Papadonikolaki, E, Sheikhkhoshkar, M, Banihashemi, S and Arashpour, M (2018) Viability of the BIM Manager Enduring as a Distinct Role: Association Rule Mining of Job Advertisements. Journal of Construction Engineering and Management, 144(09).

Hu, C and Liu, D (2018) Improved Critical Path Method with Trapezoidal Fuzzy Activity Durations. Journal of Construction Engineering and Management, 144(09).

Lee, W and Migliaccio, G C (2018) Temporal Effect of Construction Workforce Physical Strain on Diminishing Marginal Productivity at the Task Level. Journal of Construction Engineering and Management, 144(09).

Meng, J, Yan, J and Xue, B (2018) Exploring Relationships between National Culture and Infrastructure Sustainability Using QCA. Journal of Construction Engineering and Management, 144(09).

Ong, H Y, Wang, C and Zainon, N (2018) Developing a Quality-Embedded EVM Tool to Facilitate the Iron Triangle in Architectural, Construction, and Engineering Practices. Journal of Construction Engineering and Management, 144(09).

Oti, A H, Tah, J H M and Abanda, F H (2018) Integration of Lessons Learned Knowledge in Building Information Modeling. Journal of Construction Engineering and Management, 144(09).

Pereira, E, Hermann, U, Han, S and AbouRizk, S (2018) Case-Based Reasoning Approach for Assessing Safety Performance Using Safety-Related Measures. Journal of Construction Engineering and Management, 144(09).

Raoufi, M and Fayek, A R (2018) Framework for Identification of Factors Affecting Construction Crew Motivation and Performance. Journal of Construction Engineering and Management, 144(09).

Tang, Y, Wang, G, Li, H and Cao, D (2018) Dynamics of Collaborative Networks between Contractors and Subcontractors in the Construction Industry: Evidence from National Quality Award Projects in China. Journal of Construction Engineering and Management, 144(09).

  • Type: Journal Article
  • Keywords: Chinese construction industry; Project-based collaborative networks; Network dynamics; Partner selection; Stochastic actor-oriented models;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001555
  • Abstract:
    Using the method of stochastic actor-oriented models and a longitudinal data set of the National Quality Award Projects in China during 1998–2017, this study empirically investigates how project-based collaborative networks between contractors and subcontractors in the construction industry evolve across projects, and how related micromechanisms collectively underpin the evolution. The results reveal that the networks become dense over time and exhibit distinct scale-free properties. Furthermore, these macrolevel characteristics of network dynamics significantly relate to the structure-based preferential attachment effect, the ownership similarity effect, the geographic proximity effect, the negative scale similarity effect, and the ownership-based individual covariate effect, which operates at a microlevel. The findings not only provide a network view of how construction organizations select subcontractors in projects, but also contribute to broadened understanding of how project-based collaborative networks among firms in the construction industry evolve as complex adaptive systems whose macrolevel dynamics closely relate to a set of micro-organizing mechanisms.