TY - JOUR
T1 - Dynamics of Collaborative Networks for Green Building Projects
T2 - Case Study of Shanghai
AU - Qiang, Guofeng
AU - Cao, Dongping
AU - Wu, Guangdong
AU - Zhao, Xianbo
AU - Zuo, Jian
N1 - Publisher Copyright:
© 2021 American Society of Civil Engineers.
PY - 2021/5/1
Y1 - 2021/5/1
N2 - Close interorganizational collaboration plays a crucial role in achieving the sustainable goals of green building projects. Therefore, it is imperative to optimize interorganizational collaboration networks through mutual coupling between stakeholders. Few studies on collaborative networks in green building projects have focused on the network micromechanisms of dynamic collaborations among stakeholders. A stochastic actor-oriented model is developed in this study to investigate how collaborative networks evolve over time in green building project implementations. Furthermore, how the micromechanism influences this evolution was assessed using longitudinal data relating to green building projects in Shanghai from 2014 to 2018. The results showed that the size and density of collaborative networks increased with the entry of new organizations over time. The structure-based preferential attachment effect, the triadic closure effect, the ownership similarity effect, the geographic proximity effect, and the cognitive proximity effect positively affect the evolution of dynamic collaborative networks at the microlevel. This study helps to better understand the interactions between organizations during the implementation practices of green building projects. In addition, the dynamics of the interorganizational relationship were investigated from the network microlevel. These results enriched the existing body of knowledge on the dynamic collaborative network of stakeholders in green building projects. These findings are valuable for practitioners, and enable the development of corresponding strategies to promote the interorganizational collaboration and achieve higher performance in green building projects.
AB - Close interorganizational collaboration plays a crucial role in achieving the sustainable goals of green building projects. Therefore, it is imperative to optimize interorganizational collaboration networks through mutual coupling between stakeholders. Few studies on collaborative networks in green building projects have focused on the network micromechanisms of dynamic collaborations among stakeholders. A stochastic actor-oriented model is developed in this study to investigate how collaborative networks evolve over time in green building project implementations. Furthermore, how the micromechanism influences this evolution was assessed using longitudinal data relating to green building projects in Shanghai from 2014 to 2018. The results showed that the size and density of collaborative networks increased with the entry of new organizations over time. The structure-based preferential attachment effect, the triadic closure effect, the ownership similarity effect, the geographic proximity effect, and the cognitive proximity effect positively affect the evolution of dynamic collaborative networks at the microlevel. This study helps to better understand the interactions between organizations during the implementation practices of green building projects. In addition, the dynamics of the interorganizational relationship were investigated from the network microlevel. These results enriched the existing body of knowledge on the dynamic collaborative network of stakeholders in green building projects. These findings are valuable for practitioners, and enable the development of corresponding strategies to promote the interorganizational collaboration and achieve higher performance in green building projects.
KW - Collaborative relationship
KW - Construction industry
KW - Green building
KW - Stochastic actor-oriented model
UR - http://www.scopus.com/inward/record.url?scp=85100034730&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)ME.1943-5479.0000892
DO - 10.1061/(ASCE)ME.1943-5479.0000892
M3 - Article
AN - SCOPUS:85100034730
SN - 0742-597X
VL - 37
JO - Journal of Management in Engineering
JF - Journal of Management in Engineering
IS - 3
M1 - 05021001
ER -