Evaluation of Innovation Efficiency of High-Tech Enterprise Knowledge Supply Chain Based on AHP-DEA | Zendy

Huiyuan Han | Zendy; Xiaomin Gu | Zendy

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Evaluation of Innovation Efficiency of High-Tech Enterprise Knowledge Supply Chain Based on AHP-DEA

Author(s) -

Huiyuan Han,

Xiaomin Gu

Publication year - 2022

Publication title -

journal of mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.252

H-Index - 13

eISSN - 2314-4785

pISSN - 2314-4629

DOI - 10.1155/2022/3210474

Subject(s) - analytic hierarchy process , data envelopment analysis , supply chain , index (typography) , business , construct (python library) , high tech , supply chain management , knowledge management , computer science , process management , operations research , marketing , engineering , mathematics , world wide web , programming language , mathematical optimization , law , political science

This paper introduces a qualitative analysis on the efficiency evaluation of the knowledge supply chain by combining the analytic hierarchy process (AHP) with data envelopment analysis (DEA), drawing on existing literature to determine the index weight through the scoring of industry experts, and selecting appropriate input and output indicators to construct a knowledge supply chain efficiency evaluation system. The system was then applied to the supply chain of a number of high-tech enterprises. The results identified innovation efficiency differences of the knowledge supply chain in these enterprises, along with best practices and suggestions for the current knowledge supply chain efficiency.

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