Research and Evaluation of Chinese Internet Enterprise Supply Chain Strategy

Wang Yu

《International Core Journal of Engineering》 5卷9期 (2019/08) Pp. 227-233

https://doi.org/10.6919/ICJE.201908_5(9).0036

摘要

The level of informationization of the supply chain management strategy of Internet companies is crucial and an effective means to test the competitiveness of enterprises. In this paper, based on the factors affecting the informationization level of Internet enterprise supply chain management, this paper proposes a method based on improved gray correlation degree, which is the combination of analytic hierarchy process and entropy weight method to determine the index weight, and the informationization strategy of supply chain management for Internet enterprises. put in order. Through the analysis of examples, it can be known that the improved gray correlation method using comprehensive confirmation can avoid the subjectivity of weight setting, and thus can more objectively and accurately evaluate the supply chain strategy information level of Internet enterprises. At present, this method provides new ideas for the strategic management of enterprises.

關鍵字

Improved grey correlation method ； Analytic hierarchy process ； Entropy weight method ； Strategic analysis ； Internet enterprise ； Information construction

參考文獻

Huang Lizhu. An Empirical Study of the Impact of Financial Performance on Carbon Disclosure: Based on China's High Carbon Emissions Industry. Vol. 4 (2014) No.28, p. 103-105.

Guo Caixia. Research on carbon emission and its performance analysis of industrial energy consumption in Tianjin. Vol. 3(2012) No.7, p. 11-15.

Zhang Ting. Impact of carbon emission constraints on firm performance based on threshold regression. Shandong Normal University, Vol. 1 (2015) No.12, p. 88-89.

Wang Xijie. Research on Financial Performance of Capital Operation of Coal Listed Companies. Heilongjiang University, Vol. 12 (2014) No.34, p. 119-125.

Zhou Yingying. Research on the impact of government subsidies on investment behavior and financial performance of new energy companies. Vol. 2 (2017) No.18, p. 17-23.