Huang Yimin, Li Qiuxiang, Wang Xueying, Wang Hongna
School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.
Institute of Management Science and Engineering, Henan University, Kaifeng 475004, China.
Entropy (Basel). 2019 Jun 28;21(7):641. doi: 10.3390/e21070641.
According to literature review and the data of China's logistics listed companies, this paper firstly designs the high-quality development evaluation system of logistics enterprises and establishes the panel data model group. Secondly, the method of entropy weight-Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS method) is used to synthesize and regress the indexes, and obtains that the fitting degree of the model is low, which is caused by the lack of data of some indicators in the logistics enterprises. Due to the gray nature of data information, the improved gray relational model and the three-dimensional gray relational model are constructed to study, in-depth, the strategic focus and breakthrough of high-quality development of Chinese logistics enterprises. The research finds that the innovation and the operation ability of Chinese logistics enterprises are weak, which shows specifically in the following aspects: (1) The irrational structure of the employees, the proportion of employees with a bachelor degree or above is small, and the high-education personnel fail to significantly promote the corporate performance; (2) R&D expenditure has little effect on the high-quality development of enterprises. The proportion of R&D expenses is small and cannot be translated into actual benefits, and the ability of enterprise management innovation is insufficient. According to these findings, this paper gives three lean paths for the high-quality development of China's logistics enterprises.
通过文献综述和中国物流上市公司的数据，本文首先设计了物流企业高质量发展评价体系并建立了面板数据模型组。其次，运用熵权-逼近理想解排序法（TOPSIS法）对指标进行合成与回归，发现模型拟合度较低，原因是物流企业部分指标数据缺失。鉴于数据信息的灰色特性，构建改进灰色关联模型和三维灰色关联模型，深入研究中国物流企业高质量发展的战略重点与突破点。研究发现，中国物流企业的创新能力和运营能力较弱，具体表现为：（1）员工结构不合理，本科及以上学历员工占比小，高学历人才对企业绩效提升作用不显著；（2）研发支出对企业高质量发展影响较小。研发费用占比小且无法转化为实际效益，企业管理创新能力不足。基于这些研究结果，本文给出了中国物流企业高质量发展的三条精益路径。
