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The Dynamics of Interorganizational Collaboration in Disaster Management:A Network Study Based on Flood Disasters in China
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作者 Zhichao Li Long Liu Shaodan Liu 《International Journal of Disaster Risk Science》 SCIE CSCD 2023年第6期979-994,共16页
Interorganizational collaboration networks have become an important tool for disaster management.However,research on how different organizations can effectively collaborate throughout the entire disaster management pr... Interorganizational collaboration networks have become an important tool for disaster management.However,research on how different organizations can effectively collaborate throughout the entire disaster management process in centralized states such as China is scarce.This study begins to fill this lacuna by investigating interorganizational collaboration in different phases of disaster management and analyzing changes in the structure of the networks constructed during the preparedness and response phases of the 2020 flood disaster in Hubei Province,China.Building on the complex adaptive systems(CAS)theory,we argue that interorganizational collaboration changes dynamically according to its tasks and requirements.In the preparedness phase,interorganizational collaborations primarily follow established plans and choose horizontal selforganized collaboration mechanisms.However,when the urgent information and resource requirements increase in the response phase,many organizations choose vertical mandatory collaboration mechanisms.We found that organizations at the central and provincial levels in China were well positioned to coordinate information and resources and strengthen the interorganizational collaboration and communication that is crucial in disaster management.These findings contribute to the study of interorganizational collaboration networks in disaster management. 展开更多
关键词 China Complex adaptive system Disaster management Flood disasters interorganizational collaboration Social network analysis
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Impacts of building information modeling(BIM) implementation on design and construction performance: a resource dependence theory perspective 被引量:4
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作者 Dongping CAO Heng LI Guangbin WANG 《Frontiers of Engineering Management》 2017年第1期20-34,共15页
Drawing on resource dependence theory, this paper develops and empirically tests a model for understanding how the implementation of building information modeling(BIM) in construction projects impacts the performance ... Drawing on resource dependence theory, this paper develops and empirically tests a model for understanding how the implementation of building information modeling(BIM) in construction projects impacts the performance of different project participating organizations through improving their interorganizational collaboration capabilities. Based on two sets of survey data collected from designers and general contractors in BIMbased construction projects in China, the results from partial least squares analysis and bootstrapping mediation test provide clear evidence that BIM-enabled capabilities of information sharing and collaborative decision-making as a whole play a significant role in determining BIMenabled efficiency and effectiveness benefits for both designers and general contractors. The results further reveal that designers and general contractors benefit from project BIM implementation activities significantly nonequivalently, and that this non-equivalence closely relates to the different roles played by designers and general contractors in BIM-enabled interorganizational resource exchange processes. The findings validate the resource dependence theory perspective of BIM as a boundary spanning tool to manage interorganizational resource dependence in construction projects, and contribute todeepened understandings of how and why project participating organizations benefit differently from the implementation of interorganizational information technologies like BIM. 展开更多
关键词 building information modeling interorganizational collaboration construction project performance resource dependence theory partial least squares modeling
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