Social Relationship of a Firm and the CSP–CFP Relationship in Japan: Using Artificial Neural Networks
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 soc...
| Main Author: | |
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| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Journals Online & Print: | Drawer...
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| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Published: |
Springer
2009
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| In: |
Journal of business ethics
Year: 2009, Volume: 87, Issue: 1, Pages: 117-132 |
| Further subjects: | B
artificial neural networks
B Growth Potential B Corporate social responsibility B Social Relationship B Profitability B linearity B Japan B corporate social performance versus corporate financial performance relationship |
| Online Access: |
Volltext (JSTOR) Volltext (lizenzpflichtig) |
| Summary: | 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. |
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| ISSN: | 1573-0697 |
| Contains: | Enthalten in: Journal of business ethics
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| Persistent identifiers: | DOI: 10.1007/s10551-008-9874-1 |