Understanding the Effect of Multi-Agent Collaboration on the Performance of Logistics Park Projects: Evidence from China

Understanding the Effect of Multi-Agent Collaboration on the Performance of Logistics Park Projects: Evidence from China
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了解多主体协作对物流园区项目绩效的影响:来自中国的证据

DOI:
10.3390/su14074179
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发表时间:
2022-03
期刊:
影响因子:
3.9
通讯作者:
Felix T. S. Chan
Felix T. S. Chan
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Dan Yang;Weili Ying;Sen Liu;Felix T. S. Chan

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随着新一代信息技术和数据系统的快速发展,我国出现了越来越多的现代物流园区项目。然而,在物流园区项目的建设和运营过程中,往往会出现多方(通常是政府、开发企业和入驻企业)之间缺乏协调,导致效率低下、管理混乱等一系列问题,最终影响项目绩效。然而,很少有研究集中在这一现象,和以前的研究是不清楚的多代理人合作对物流园区项目绩效的影响。因此,在本研究中,我们研究之间的联系多代理人的合作和物流园区项目绩效的调查数据的基础上,在中国云南省。实证分析使用基于偏最小二乘(PLS)的结构方程建模与智能PLS 2.0。数据分析结果表明,多主体协作的三个维度(管理、机制和信息协作)对物流园区项目绩效有显著的正向影响。在不同的环境动力学条件下,物流园区项目应采取不同的策略来提高绩效。该研究为理解物流园区项目中多主体协作的理论和实践价值提供了一个新的视角。
With the rapid development of a new generation of information technology and data systems, there are more and more modern logistics park projects appearing in China. However, in the process of the construction and operation of a logistics park project, there is often a lack of coordination between the multiple parties (usually the government, the development enterprise and the entered enterprises), which leads to a series of problems such as low efficiency and disordered management and so on, finally affecting the project performance. However, few studies have focused on this phenomenon, and prior studies are unclear regarding the impact of multi-agent collaboration on logistics park project performance. Therefore, in this study, we investigate the link between multi-agent collaboration and the logistics park project performance based on survey data from Yunnan Province in China. The empirical analysis was conducted using the partial least squares (PLS)-based structural equation modeling with Smart PLS 2.0. The data analysis results suggest that the three dimensions of multi-agent collaboration (management, mechanism and information collaboration) have a significant positive impact on the performance of a logistics park project. Under different environmental dynamics conditions, different strategies should be adopted by a logistics park project to improve the performance. This study provides a new perspective for understanding the value of multi-agent collaboration in logistics park projects both in theory and practice.
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