TY - JOUR
T1 - Social relationship of a firm and the CSP-CFP relationship in Japan
T2 - Using artificial neural networks
AU - Okamoto, Daisuke
N1 - Funding Information:
8 2004 was chosen because it was 10 years after the original 1994 data of above-mentioned project. This project is supported technically and financially by Keio University and is carried out every 5 years.
PY - 2009/6
Y1 - 2009/6
N2 - 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.
AB - 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.
KW - Artificial neural networks
KW - Corporate social performance versus corporate financial performance relationship
KW - Corporate social responsibility
KW - Growth potential
KW - Japan
KW - Linearity
KW - Profitability
KW - Social relationship
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U2 - 10.1007/s10551-008-9874-1
DO - 10.1007/s10551-008-9874-1
M3 - Article
AN - SCOPUS:67349098427
SN - 0167-4544
VL - 87
SP - 117
EP - 132
JO - Journal of Business Ethics
JF - Journal of Business Ethics
IS - 1
ER -
