| Issue |
SHS Web Conf.
Volume 151, 2022
3rd International Symposium on Economics, Management, and Sustainable Development (EMSD 2022)
|
|
|---|---|---|
| Article Number | 01035 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/shsconf/202215101035 | |
| Published online | 16 December 2022 | |
Research and application of management accounting in project performance evaluation based on PCA model
Xi’an Jiaotong University City College, 710018, Xi’an, Shaanxi, China
* Corresponding author: jdcsxy@126.com
With the development of society and the continuous improvement of market economy, the economic environment of enterprises has changed greatly, the competition between enterprises is becoming more and more fierce, and the survival of enterprises has also been greatly challenged. In this context, the performance evaluation of enterprises has attracted the attention of the whole society, especially the scholars and experts in the business community, and the theory and method of enterprise performance analysis have also been further deepened and developed. With the help of the principal component analysis (PCA) model and management accounting tools, this paper aims to correctly evaluate the performance of enterprises, find the factors that affect the performance of enterprises, and then put forward some suggestions, hoping to provide reference for the performance evaluation of enterprises, improve the core competitiveness of enterprises, and help enterprises develop and grow better under the new situation.
Key words: PCA / Management accounting tools / Performance analysis / SPSS
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.