Knowledge Exchanges in Complex Project Networks: Influence Model
Knowledge Exchanges in Complex Project Networks: Influence Model
复制标题
复杂项目网络中的知识交流：影响力模型
DOI：
10.1061/9780784483978.107
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Frank, Kenneth A.
中科院分区：
文献类型：
--
作者：
Duva, Meltem;Zhao, Dong;Mollaoglu, Sinem;Frank, Kenneth A.
建筑、工程和施工 (AEC) 行业具有分散性和每个项目条件不同的特点，因此寻求补救措施以实现包括可持续性在内的增强项目成果。高度集成的项目团队可以通过交流知识、目标一致以及风险和回报共享来克服障碍。了解项目团队网络中的互动模式有助于实施所需的实践，以优化可持续发展成果。根据影响力理论，个体会受到互动的影响。他们会改变自己的信仰和做法，以回应与他们交往的人。基本的影响过程会产生复杂的交互和行为模式，对这些过程的洞察可以帮助理解项目团队网络中的知识转移。本研究的目的是通过影响力模型的视角检查项目团队可持续发展知识转移网络的形成，并提供对复杂组织行为的见解。为了实现研究目标，我们纵向收集了 AEC 项目的电子邮件交换和档案数据，并进行了关注能源和大气相关相互作用的社交网络分析 (SNA)。结果表明，接触网络中具有高参与度和不同专业领域的节点会对个人的可持续性知识转移和参与水平产生积极影响。
Characterized by fragmented nature and different conditions for every project, the Architecture, Engineering, and Construction (AEC) industry seeks remedies to achieve enhanced project outcomes including sustainability. Highly integrated project teams can overcome the obstacles by exchanging knowledge, goal alignment, and risk and reward sharing. Understanding the interaction patterns in project team networks can help implement desired practices to optimize sustainability outcomes. According to the influence theory, individuals are influenced by their interactions. They change their beliefs and practices in response to the people they connect with. Basic influence processes yield complex interactions and behavior patterns, and insights to these processes can help understand knowledge transfers in project team networks. The goal of this study is to examine the formation of knowledge transfer networks for sustainability in project teams via the lens of influence model and provide insights to complex organizational behaviors. To achieve study goal, we longitudinally collected e-mail exchange and archival data from an AEC project and performed Social Network Analysis (SNA) focusing on Energy and Atmosphere related interactions. The results showed that the exposure to the nodes with high-engagement levels and diverse expertise areas in a network positively impacts the sustainability knowledge transfers and engagement level of the individuals.
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DOI：
10.1177/016146811311500105
发表时间：
2013
期刊：
Teachers College Record: The Voice of Scholarship in Education
影响因子：
--
作者：
W. Penuel;K. Frank;Min Sun;C. Kim;Corinne Singleton
通讯作者：
Corinne Singleton
AEC 项目团队中的专业知识流和网络结构
DOI：
10.1061/9780784482889.011
发表时间：
2020
期刊：
Proceedings of Construction Research Congress 2020
影响因子：
--
作者：
Garcia, Angelo Joseph;Duva, Meltem;Mollaoglu, Sinem;Zhao, Dong;Frank, Kenneth A.;Benitez, Jackeline
通讯作者：
Benitez, Jackeline
影响因子：
1
作者：
FREEMAN, LC
通讯作者：
FREEMAN, LC
影响因子：
5.7
作者：
H. Kelman
通讯作者：
H. Kelman