建设项目BIM应用抵制行为与关系网络的协同演化机制研究
Coevolution of relationship networks and resistance behaviors for building information modeling implementation in construction projects
论文介绍
异质性的项目成员往往嵌入于多维度、动态化的项目内部关系网络之中，这些网络可分别通过社会影响和社会选择机制塑造项目成员的个体行为并被个体行为所塑造，而BIM (building information modeling, 建筑信息模型化) 等新兴数字化技术的应用则进一步增加了建设项目内个体间关系网络、个体行为以及两者间关系的复杂性和动态性。为进一步发挥BIM在解决传统项目绩效问题方面的潜力，深入研究建设项目内部个体间关系网络和个体BIM应用行为之间的复杂关联机制至为重要。
Heterogeneous individual participants are embedded within multiple dynamic intra-project relationship networks, which can both shape and be shaped by individual behaviors through social influence and selection processes, respectively. The implementation of emerging digital technologies like building information modeling (BIM) tends to increase the complexity and dynamics of inter-individual relationship networks, individual behaviors, and their mutual interactions within construction projects. To leverage the potential of BIM in addressing traditional project performance problems, it is essential to understand the complex and dynamic interactions between inter-individual relationships and individual behaviors for BIM implementation in construction projects.
基于SAOMs（Stochastic actor-oriented models, 随机行动者导向模型）和某BIM应用项目的纵向调研数据，本研究旨在系统揭示建设项目内部个体BIM应用抵制行为与个体间关系网络的协同演化机制。本研究重点分析与BIM应用相关的两种不同类型的个体间关系：正式的任务导向型技术沟通关系和非正式的知识导向型技术帮助关系。
Based on stochastic actor-oriented models (SAOMs) and longitudinal data on BIM implementation practices in a multi-disciplinary construction project in China, this study aims to investigate how inter-individual relationship networks and individual resistance behaviors for BIM implementation coevolve over time in construction projects. Specifically, this study focuses on investigating the social selection and influence processes associated with two distinct types of inter-individual relationships for BIM implementation in construction projects: formal task-oriented communication ties and informal knowledge-oriented advice ties.
研究结果显示，在控制相关协变量和结构效应的影响后，具有相似BIM抵制行为的项目成员之间更可能形成技术沟通和帮助关系。该结果显著验证了项目内部的社会选择机制。关于社会影响机制，研究结果显示，与知识导向型帮助关系相比，任务导向型沟通关系对个体BIM抵制行为具有更显著的影响，引致了项目成员之间的行为同化。研究结果还显示，关系网络与行为的协同演化过程同时受到个体经验相关的协变量效应以及与互惠和闭合三元相关的结构效应的影响。作为应用纵向网络建模方法实证刻画临时性项目中网络-行为协同演化机制的探索性研究，本文深化了对社会选择机制和社会影响机制如何共同塑造临时性项目中异质性个体成员之间复杂动态交互过程的理解。
After controlling for related covariate and structural effects, the results provide clear evidence for the social selection process in which communication and advice ties in the networks are both more frequently formed between project participants with more similar resistance behaviors. Concerning the social influence process, the results show that compared with knowledge-oriented advice ties, task-oriented communication ties tend to more significantly influence the assimilation of resistance behaviors. The network-behavior coevolution process is simultaneously associated with the covariate effects related to individual experience as well as the structural effects related to reciprocity and triadic closure. As a pioneering effort of using longitudinal network modeling methods to empirically characterize network-behavior dynamics in projects, this study provides a deepened understanding of how social selection and influence processes collectively shape the dynamic interactions among heterogeneous project participants as a complex adaptive system.
下图展示了本文的研究模型。
原文亮点
Highlights
亮点1
基于纵向网络建模方法探究建设项目中关于BIM应用的网络-行为动力学机制。
Using longitudinal network modeling to explore network-behavior dynamics for BIM implementation in construction projects.
亮点2
BIM抵制行为通过社会选择机制影响技术沟通和帮助关系的形成，导致关系网络的同质化。
Resistance behaviors impact the formation of communication and advice ties and result in network homogeneity through social selection.
亮点3
技术沟通和帮助关系通过社会影响机制影响个体抵制行为，导致行为的同化。
Communication and advice ties in the networks impact the assimilation of individual resistance behaviors through social influence.
亮点4
相比技术帮助关系，技术沟通关系对行为同化的影响更显著。
Communication ties have more significant effects on behavior assimilation than advice ties.
亮点5
网络-行为演化同时受到其他节点层面的协变量效应和网络结构效应的影响。
Network-behavior dynamics are also impacted by other node-level covariate effects and network structural effects.
邵诗婷
同济大学 经济与管理学院 博士研究生
研究方向：复杂工程网络、工程管理数字化
曹冬平
同济大学 经济与管理学院 副教授、博士生导师
研究方向：工程管理数字化与智能化、工程大数据分析、复杂工程网络
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https://doi.org/10.1016/j.ijproman.2024.102617
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