An Analytical Research on Current Development Situations of Social Organization Standards of Guangdong Province on the Basis of Big Data Analysis Method

DOI

10.2991/978-94-6463-064-0_72How to use a DOI?

Keywords

Social organization standards of Guandong Province; clustering analysis; entropy weight method

Abstract

People from all walks of life are paying more and more attention to social organization standards, which play an important role in meeting market and innovation demands. This paper uses the clustering analysis method and the entropy weight method based on big data to analyze the current development situations of social organization standards. Research results show that the quantity of social organization standards for “manufacturing industry” issued in Guangdong Province occupies nearly half of the quantity of social organization standards issued in the whole province. The quantity of social organization standards for “manufacturing industry” is far higher than that of the “agriculture, forestry, animal husbandry and fishery” which ranks the second. As far as the development situations are concerned, top three industries in terms of the comprehensive score are “manufacturing industry”, “wholesales and retail industry” and “leasing and business service industry” respectively while the industry with the lowest comprehensive score is “water conservancy, environment and public utilities management industry”. This is because public infrastructure construction belongs to “public products” and its industry standards are mainly set by the government, so social organization standards organizations only play a small role there.

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)

TY  - CONF
AU  - Tingjun Huang
AU  - Youhong Yang
AU  - Zhengyuan Wang
AU  - Jingyang Mao
AU  - Hanying Zhi
PY  - 2022
DA  - 2022/12/27
TI  - An Analytical Research on Current Development Situations of Social Organization Standards of Guangdong Province on the Basis of Big Data Analysis Method
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 700
EP  - 707
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_72
DO  - 10.2991/978-94-6463-064-0_72
ID  - Huang2022
ER  -