Quantitative Models in Life Science Business : From Value Creation to Business Processes / / edited by Jung Kyu Canci, Philipp Mekler, Gang Mu.

This open access book explores the field of life science business from a multidisciplinary perspective. Applying statistical, mathematical, game-theoretic, and data science tools to pharmaceutical and biotechnology business endeavors, the book describes value creation, value maintenance, and value r...

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Bibliographic Details
Superior document:SpringerBriefs in Economics,
HerausgeberIn:
Place / Publishing House:Cham : : Springer International Publishing :, Imprint: Springer,, 2023.
Year of Publication:2023
Edition:1st ed. 2023.
Language:English
Series:SpringerBriefs in Economics,
Physical Description:1 online resource (IX, 127 p. 25 illus., 13 illus. in color.)
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Summary:This open access book explores the field of life science business from a multidisciplinary perspective. Applying statistical, mathematical, game-theoretic, and data science tools to pharmaceutical and biotechnology business endeavors, the book describes value creation, value maintenance, and value realization in the life sciences as a sequence of processes using the quantitative language of applied mathematics. Written by experts from a variety of fields, the contributions illustrate the shift from a deterministic to a stochastic view of the processes involved, offering a new perspective on life sciences economics. The book covers topics such as valuing and managing intellectual property in life science, licensing in the pharmaceutical business, outsourcing pharmaceutical R&D, and stochastic modelling of a pharmaceutical supply chain. The book will appeal to scholars of economics and the life sciences, as well as to professionals in chemical and pharmaceutical industries. .
ISBN:3031118146
ISSN:2191-5512
Access:Open Access
Hierarchical level:Monograph
Statement of Responsibility: edited by Jung Kyu Canci, Philipp Mekler, Gang Mu.