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Titlebook: Valuations of Early-Stage Companies and Disruptive Technologies; How to Value Life Sc Tiran Rothman Book 2020 The Editor(s) (if applicable)

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發(fā)表于 2025-3-21 19:51:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Valuations of Early-Stage Companies and Disruptive Technologies
副標(biāo)題How to Value Life Sc
編輯Tiran Rothman
視頻videohttp://file.papertrans.cn/981/980305/980305.mp4
概述Simplifies the mathematical and economic techniques employed in corporate valuations in general, and those for ventures at developmental and early-growth stages.Draws on a number of interdisciplinary
圖書封面Titlebook: Valuations of Early-Stage Companies and Disruptive Technologies; How to Value Life Sc Tiran Rothman Book 2020 The Editor(s) (if applicable)
描述This book will serve as a practical guide for entrepreneurs and investors/advisors in constructing and understanding valuations of startups in rapidly shifting industries, including the areas of drug development, medical devices, cyber security, and renewable energy. For large companies, valuation is based on forecasts of free cash flow; in technologically-driven industries, product pipelines can represent a large part of market capitalization. The situation is even more critical for small companies committed to a single idea: all of their value is linked to a single project. Any business transaction or internal proposal to begin or terminate an R&D project in which innovative projects are being valued or exchanged requires a realistic valuation of those projects. Moreover, different projects have very different dynamics. Pharmaceuticals have very large lead times and are dependent on patents as well as out-licensing agreements. In contrast, software develops very quickly, and IP is hard to value. This book will be a guide to building appropriate valuations for companies competing in rapidly shifting industries and offering products under new business models where little precedent
出版日期Book 2020
關(guān)鍵詞Disruptive Technologies; Start-up Valuation; Valuing disruptive start-ups; cybersecurity companies; biot
版次1
doihttps://doi.org/10.1007/978-3-030-38847-8
isbn_softcover978-3-030-38849-2
isbn_ebook978-3-030-38847-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 23:53:02 | 只看該作者
https://doi.org/10.1007/978-3-030-38847-8Disruptive Technologies; Start-up Valuation; Valuing disruptive start-ups; cybersecurity companies; biot
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978-3-030-38849-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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hend the complex spatial logical relationships within real-world scenes. Moreover, these networks lack interpretability. In order to solve the above problems, this paper proposes the Bilinear-MAC network with stronger reasoning ability. The MAC network is a single-stream network that performs reason
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one hand, studies on natural swarm intelligence rarely consider how this advantage keeps stable in evolution. On the other hand, evolutionary theories used to neglect the change of absolute fitness at the group level. Nevertheless, social profits are not evenly distributed to individuals. An anti-p
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bject to constrained limitations, they become dynamic constrained multi-objective optimization problems (DCMOPs). As the problems become more complex, multi-objective optimization algorithms face greater challenges. In this paper, a hybrid response strategy for dynamic constrained multi-objective op
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