Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

<Previous Article In Volume
Next Article In Volume>

PSO-FAHP Model-based Comprehensive Performance Evaluation of New Research and Development Institutions

Authors
Jinfu Zhang1, *, Meijuan Wang1
1The Department of Management Science engineering, Shanghai Institute of Technology, Xuhui, Shanghai, China
*Corresponding author. Email: zhjfpd@163.com
Corresponding Author
Jinfu Zhang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_35How to use a DOI?
Keywords
new R&D institutions; PSO-FAHP; the performance evaluation
Abstract

Scientific and technological innovation has become a powerful lever to promote economic transformation and development. As a new force to promote regional innovation and development, new R&D institutions have boosted regional economic transformation and upgrading to a certain extent. How to evaluate the integration of new R&D institutions scientifically is still a theoretical and practical problem, which needs to be explored and solved by the academic community. This paper introduces the perspective of market evaluation, focuses on the organizational characteristics of new R&D institutions, summarizes the factors influencing the performance evaluation of new R&D institutions through expert interview method, and obtains the weight of evaluation indicators based on PSO-FAHP model, and reconstructs the scientific and effective comprehensive performance evaluation system of new R&D institutions. In order to provide theoretical reference for the tracking evaluation and normative development of new R&D institutions.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-042-8_35
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_35How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jinfu Zhang
AU  - Meijuan Wang
PY  - 2022
DA  - 2022/12/29
TI  - PSO-FAHP Model-based Comprehensive Performance Evaluation of New Research and Development Institutions
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 234
EP  - 240
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_35
DO  - 10.2991/978-94-6463-042-8_35
ID  - Zhang2022
ER  -