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Risk Factors of Building Apartments for University Talent through the Agent Construction Mode in China: Interrelationship and Prioritization

机译:中国代建制模式下大学人才公寓建设的风险因素:相互关系与优先级

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Apartments for university talent (AUT), are apartments provided to staff at non-market price, in order to attract outstanding scholars from around the world to work in universities and improve educational quality. This has been a critical issue in achieving social sustainability in China during rapid urbanization and industrialization. The agent construction mode has been adopted to build AUT because universities usually lack relevant management experience. The agent construction mode is a type of turnkey engineer construction based on the principal-agent model, project bidding mode, engineering contracting projects, and project supervision system. Risk factors are important considerations for both universities and agent construction companies. Although some studies have investigated the risk factors, only a few studies have identified the hierarchical structure of relevant risk factors. Therefore, the interrelationship and prioritization of the risk factors remain unknown, and this situation presents a barrier to better risk management. This paper investigates the interrelationship of risk factors with interpretative structural modeling (ISM). In addition, fuzzy MICMAC (matric d’impacts croises-multiplication appliqué a un classemen) analysis was conducted to prioritize the risk factors. The findings provide useful references for better risk management of building AUT through the agent construction mode. Although this study focuses on China, the analytical process can also be generalized to other research topics and other countries.
机译:大学人才公寓(AUT)是以非市场价格提供给员工的公寓,目的是吸引来自世界各地的杰出学者到大学工作并提高教育质量。在快速的城市化和工业化过程中,这一直是实现中国社会可持续发展的关键问题。由于大学通常缺乏相关的管理经验,因此采用代理人构建模式来构建AUT。代建制模式是一种基于委托代理模式,项目招标模式,工程承包项目和项目监理系统的交钥匙工程建设。风险因素是大学和代建公司的重要考虑因素。尽管一些研究调查了危险因素,但只有少数研究确定了相关危险因素的层次结构。因此,风险因素的相互关系和优先级仍然未知,这种情况为更好的风险管理提供了障碍。本文研究了风险因素与解释性结构模型(ISM)的相互关系。此外,还进行了模糊MICMAC(矩阵d'表示croises乘法应用的分类)分析,以对风险因素进行优先级排序。研究结果为通过代理商构建模式更好地构建AUT进行风险管理提供了有用的参考。尽管本研究的重点是中国,但分析过程也可以推广到其他研究主题和其他国家。

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