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ew 24(1):

Research Article

Input-Output Performance Evaluation of Science and Technology Enterprises Based on DEA Model

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  • @ARTICLE{10.4108/ew.4131,
        author={Guoliang Sun and Bayi Guan},
        title={Input-Output Performance Evaluation of Science and Technology Enterprises Based on DEA Model},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={11},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2024},
        month={12},
        keywords={performance evaluation, input-output ratio, technical efficiency},
        doi={10.4108/ew.4131}
    }
    
  • Guoliang Sun
    Bayi Guan
    Year: 2024
    Input-Output Performance Evaluation of Science and Technology Enterprises Based on DEA Model
    EW
    EAI
    DOI: 10.4108/ew.4131
Guoliang Sun1, Bayi Guan1,*
  • 1: Zhengzhou Tourism College
*Contact email: guanbayi@zztrc.edu.cn

Abstract

INTRODUCTION: For enterprises, the results of performance evaluation will be affected by the selected input and output factors, so the indicators of the evaluation system should be representative and characteristic, and the evaluation method should be reasonable. OBJECTIVES: According to the characteristics of science and technology industry, this paper establishes the performance evaluation index system, and the evaluation model of the input-output performance for the science and technology enterprises. METHODS: With the evaluation model, this paper empirically analyses the evaluation index data of 30 science and technology enterprises in recent 3 years, and verifies the effectiveness of the selection of management performance evaluation index of science and technology enterprises. RESULTS: Finally, according to the empirical analysis results of the evaluation model. CONCLUSION: This paper puts forward some countermeasures to improve the business performance of science and technology enterprises.

Keywords
performance evaluation, input-output ratio, technical efficiency
Received
2024-12-04
Accepted
2024-12-04
Published
2024-12-04
Publisher
EAI
http://dx.doi.org/10.4108/ew.4131

Copyright © 2024 G. Sun et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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