Social Relationship of a Firm and the CSP–CFP Relationship in Japan: Using Artificial Neural Networks |
| |
Authors: | Daisuke Okamoto |
| |
Institution: | (1) Faculty of Business and Commerce, Keio University, 15-45, Mita-2, Minato, Tokyo 108-8345, Japan |
| |
Abstract: | As a criterion of a good firm, a lucrative and growing business has been said to be important. Recently, however, high profitability
and high growth potential are insufficient for the criteria, because social influences exerted by recent firms have been extremely
significant. In this paper, high social relationship is added to the list of the criteria. Empirical corporate social performance
versus corporate financial performance (CSP–CFP) relationship studies that consider social relationship are very limited in
Japan, and there are no definite conclusions for the studies in the world, because of scant data and the inappropriate methods,
especially for supporting linear hypothesis which these studies are based on. In this paper, the CSP–CFP relationship is analyzed
by an artificial neural networks model, which can deal with a non-linear relationship, using 10-year follow-up survey data.
|
| |
Keywords: | artificial neural networks corporate social performance versus corporate financial performance relationship corporate social responsibility growth potential Japan linearity profitability social relationship |
本文献已被 SpringerLink 等数据库收录! |
|