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Ethics and the Business of Bioscience. 倫理と生命科学ビジネス
・ISBN 978-0-8047-4249-8 cloth US$ 85.00
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お気に入り
★★★
・ISBN 978-0-8047-4250-4 paper US$ 45.00
￥10,543.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
お気に入り
★★★
| 著者・編者 | Eaton, Margaret L., |
|---|---|
| シリーズ | Stanford Business Books |
| 出版社 | (Stanford U. Pr., US) |
| 出版年月 | 2004 |
| ページ数 | 534 pp. |
| 言語 | ENG |
| ニュース番号 | ＜507-461 507-L134＞ |
解説
Businesses that produce bioscience products-gene tests and therapies, pharmaceuticals, vaccines, and medical devices-are regularly confronted with ethical issues concerning these technologies. Conflicts exist between those who support advancements in bioscience and those who fear the consequences of unfettered scientific license. As the debate surrounding bioscience grows, it will be increasingly important for business managers to consider the larger consequences of their work.
This groundbreaking book follows industry research, development, and marketing of medical and bioscience products across a variety of fields, including biotechnology, pharmaceuticals, and bio-agriculture. Compelling and current case studies highlight the ethical decisions business managers frequently face. With the increasing visibility and public expectation placed on businesses in this sector, managers need to understand the ethical and social issues. This book addresses that need and provides a framework for incorporating ethical analysis in business decision making.
This groundbreaking book follows industry research, development, and marketing of medical and bioscience products across a variety of fields, including biotechnology, pharmaceuticals, and bio-agriculture. Compelling and current case studies highlight the ethical decisions business managers frequently face. With the increasing visibility and public expectation placed on businesses in this sector, managers need to understand the ethical and social issues. This book addresses that need and provides a framework for incorporating ethical analysis in business decision making.