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Cao D.,Hong Kong Polytechnic University | Li H.,Hong Kong Polytechnic University | Wang G.,Tongji University | Luo X.,Hong Kong Polytechnic University | And 3 more authors.
Journal of Management in Engineering | Year: 2017

In the project-based construction industry, organizations are coupled with each other largely through project-specific collaborative relationships, and the industry-level networks of these project-based relationships closely relate to how knowledge and innovations diffuse among organizations to reshape traditional design and construction activities. Using the method of stochastic actor-oriented models and longitudinal data on registered building information modeling (BIM)-based construction projects in Shanghai, this study examines how the macro structure of the project-based collaborative network for BIM implementation in the regional construction industry evolves over time and how related micromechanisms collectively underpin the evolution of the network. The results provide evidence that the network becomes increasingly dense over time but persistently exhibits small-world properties and the core-periphery structure with a small number of super-connected star organizations. The results further reveal that these macrolevel characteristics of network dynamics significantly relate to the structure-based preferential attachment effect and the attribute-based ownership similarity effect operating at the microlevel. This study contributes to a deepened understanding of how industry organizations interact with each other in BIM implementation practices across projects within the project-based construction industry. As an exploratory effort of using network dynamics models to investigate the microfoundations of interorganizational relationships in the construction domain, this study also reinforces the need to regard the networks of these relationships as complex adaptive systems whose dynamics are closely associated with a collection of structure-based and attribute-based self-organizing mechanisms. © 2016 American Society of Civil Engineers.

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