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

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 se...

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Main Authors: Huiyuan Han, Xiaomin Gu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/3210474
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author Huiyuan Han
Xiaomin Gu
author_facet Huiyuan Han
Xiaomin Gu
author_sort Huiyuan Han
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 2314-4785
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-87320fcda14447dc936a4c4644eb99d92025-02-03T06:14:10ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/3210474Evaluation of Innovation Efficiency of High-Tech Enterprise Knowledge Supply Chain Based on AHP-DEAHuiyuan Han0Xiaomin Gu1Glorious Sun School of Business ManagementGlorious Sun School of Business ManagementThis 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.http://dx.doi.org/10.1155/2022/3210474
spellingShingle Huiyuan Han
Xiaomin Gu
Evaluation of Innovation Efficiency of High-Tech Enterprise Knowledge Supply Chain Based on AHP-DEA
Journal of Mathematics
title Evaluation of Innovation Efficiency of High-Tech Enterprise Knowledge Supply Chain Based on AHP-DEA
title_full Evaluation of Innovation Efficiency of High-Tech Enterprise Knowledge Supply Chain Based on AHP-DEA
title_fullStr Evaluation of Innovation Efficiency of High-Tech Enterprise Knowledge Supply Chain Based on AHP-DEA
title_full_unstemmed Evaluation of Innovation Efficiency of High-Tech Enterprise Knowledge Supply Chain Based on AHP-DEA
title_short Evaluation of Innovation Efficiency of High-Tech Enterprise Knowledge Supply Chain Based on AHP-DEA
title_sort evaluation of innovation efficiency of high tech enterprise knowledge supply chain based on ahp dea
url http://dx.doi.org/10.1155/2022/3210474
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AT xiaomingu evaluationofinnovationefficiencyofhightechenterpriseknowledgesupplychainbasedonahpdea