Quantitative Models in Life Science Business
In: SpringerBriefs in Economics; (2023)
Online
E-Book
- 127
Zugriff:
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.
Titel: |
Quantitative Models in Life Science Business
|
---|---|
Autor/in / Beteiligte Person: | Canci, Jung Kyu ; Mekler, Philipp ; Mu, Gang |
Link: | |
Quelle: | SpringerBriefs in Economics; (2023) |
Veröffentlichung: | Cham: Springer Nature; Springer, 2023 |
Medientyp: | E-Book |
Umfang: | 127 |
ISBN: | 978-3-031-11814-2 (print) ; 3-031-11814-6 (print) |
DOI: | 10.1007/978-3-031-11814-2 |
Schlagwort: |
|
Sonstiges: |
|