Role of Principal Component Analysis (PCA) in the Evaluation of Competitiveness of Small Firms-Reference-Cited by-同舟云学术

Role of Principal Component Analysis (PCA) in the Evaluation of Competitiveness of Small Firms

Published:2014-05 Issue: Volume:926-930 Page:3954-3957
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Xiao Li Ping¹,Liu Yang²

Affiliation:

1. Northeastern University at Qinhuangdao

2. Northeast University of Petroleum at Qinhuangdao

Abstract

Principal Component Analysis (PCA) is a method of multivariate statistical analysis and has been widely used in statistical and mathematical analysis. We use this method in the evaluation of competitiveness of small firms. Using the data of 30 small firms, we build the index system to evaluate competitiveness. Our results show that Principal Component Analysis (PCA) is useful in dimension reducing and we find that profitability, growth,size and human resource are important influencing factors in the competitiveness of small firms.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.926-930.3954.pdf

Reference10 articles.

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