Early Stage Technologies

Comprehensive coverage of the issues, methods, and art of valuing and pricing early-stage technologies To develop or not to develop; to license or not to license; what price will be a true reflection of the product's value from both the buyer's and seller's point of view? These questions are crucial to companies dependent on intellectual property-particularly technology companies, universities, and biotech companies. The risks associated with early-stage technology are high, and decisions must often be made years before any potential product will reach the market. In Early-Stage Technologies: Valuation and Pricing, Richard Razgaitis presents TR-R-A-DE(TM), a comprehensive approach to determining the future of new technologies based on technology rights, risk assignment, the art of deal-making, and deal economics. He considers the key components involved in a licensing transaction, offers a detailed presentation of six valuation methods for intellectual property, examines risk in both quantitative and qualitative terms, and explores the negotiation strategy and structuring of agreements that are the keys to the art of technology rights deal-making. Early-Stage Technologies is an indispensable tool for anyone involved in the development, valuation, and licensing of intellectual property, the most valuable resource and driving force of the information age.

Fundraising for venture capital investments have continued to increase in recent years. One crucial step in the investment process is the valuation of the target company. Investors are faced with the great challenge of valuing a young venture without a corporate or financial history, a firm customer relationship or even a business model, while still taking into account the tremendous growth potential. Especially the valuation of technology companies is a difficult and often subjective process. Motivated by these considerations, this dissertation details a design science research project, which aims to develop an artifact that improves the indication of value in early-stage technology venture valuation while enabling operationalizable and fair valuation. This approach ensures a more meaningful valuation and better applicability to early-stage technology ventures compared to traditional methods while supporting the deliberate reduction of information asymmetries between entrepreneurs and investors. Firm-specific characteristics and practical applicability are taken into account.

If you want your startup to succeed, you need to understand why startups fail. “Whether you’re a first-time founder or looking to bring innovation into a corporate environment, Why Startups Fail is essential reading.”—Eric Ries, founder and CEO, LTSE, and New York Times bestselling author of The Lean Startup and The Startup Way Why do startups fail? That question caught Harvard Business School professor Tom Eisenmann by surprise when he realized he couldn’t answer it. So he launched a multiyear research project to find out. In Why Startups Fail, Eisenmann reveals his findings: six distinct patterns that account for the vast majority of startup failures. • Bad Bedfellows. Startup success is thought to rest largely on the founder’s talents and instincts. But the wrong team, investors, or partners can sink a venture just as quickly. • False Starts. In following the oft-cited advice to “fail fast” and to “launch before you’re ready,” founders risk wasting time and capital on the wrong solutions. • False Promises. Success with early adopters can be misleading and give founders unwarranted confidence to expand. • Speed Traps. Despite the pressure to “get big fast,” hypergrowth can spell disaster for even the most promising ventures. • Help Wanted. Rapidly scaling startups need lots of capital and talent, but they can make mistakes that leave them suddenly in short supply of both. • Cascading Miracles. Silicon Valley exhorts entrepreneurs to dream big. But the bigger the vision, the more things that can go wrong. Drawing on fascinating stories of ventures that failed to fulfill their early promise—from a home-furnishings retailer to a concierge dog-walking service, from a dating app to the inventor of a sophisticated social robot, from a fashion brand to a startup deploying a vast network of charging stations for electric vehicles—Eisenmann offers frameworks for detecting when a venture is vulnerable to these patterns, along with a wealth of strategies and tactics for avoiding them. A must-read for founders at any stage of their entrepreneurial journey, Why Startups Fail is not merely a guide to preventing failure but also a roadmap charting the path to startup success.

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 exists, taking both financial and behavioral issues into consideration.

Fundraising for venture capital investments have continued to increase in recent years. One crucial step in the investment process is the valuation of the target company. Investors are faced with the great challenge of valuing a young venture without a corporate or financial history, a firm customer relationship or even a business model, while still taking into account the tremendous growth potential. Especially the valuation of technology companies is a difficult and often subjective process. Motivated by these considerations, this dissertation details a design science research project, which aims to develop an artifact that improves the indication of value in early-stage technology venture valuation while enabling operationalizable and fair valuation. This approach ensures a more meaningful valuation and better applicability to early-stage technology ventures compared to traditional methods while supporting the deliberate reduction of information asymmetries between entrepreneurs and investors. Firm-specific characteristics and practical applicability are taken into account. About the author Christoph Philipp Wessendorf is a Co-Founder and Managing Director of a deep tech spin-off firm with roots at the Karlsruhe Institute of Technology, where he also researched valuation of early-stage technology ventures. After earning his Masters in Management at ESCP Europe, Cass Business School and Carlos III University, he worked as a Senior Consultant for the Financial Services industry at a consulting firm.

Inhaltsangabe:Abstract: In recent years the issue of early stage investment in new technology based firms has drawn considerable attention. Its relevance emerges from the rise of high technology industries in the global economy. As competition in established, mature industries all over the world is ever increasing, the importance of keeping up and increasing the speed of innovation to ensure competitiveness of companies and national wealth is widely recognized. Innovation may concern products or processes. It refers to the development of new proprietary knowledge, i. e. technology, which is embodied in marketable products or services. In as far as the added private knowledge increases the utility of a product to the customers, it adds value. Unless the new features of a product are matched by competitors, a company may earn innovation rents. Thus proprietary knowledge attained through innovation is an important source of strategic advantage. In a competitive, dynamic market, however innovation rents are not sustainable. Competitors will attempt to match and exceed the innovation advantage. This may be achieved by imitation or by adding other or more innovative features. Whereas following the product life cycle model initial growth may be steep and rents may be high for the first mover, imitators competing on price and other rivals competing on innovations, may inflate the monopolistic power of the proprietary knowledge. Striving to maintain and increase market shares and profitability, companies thus have a strong incentive to keep innovating. For new technology-based firms the importance of proprietary knowledge is particularly pronounced. These start-ups operate in a hostile competitive environment, characterized by high uncertainty, offering the potential for rapid growth and high profits on the upside, but also the substantial threat of incurring deep losses on the downside. Whereas large companies generally possess a diversified product portfolio and a host of strategic assets, small companies will need to compete on a single new product or service and the determination of its management team. Politicians, worried by high unemployment and budget deficits, lately fell in love with the high-technology start-ups for their ability to create jobs and ensure future tax revenues. New technology-based firms are drivers of structural change in the economy in that they are among the first to enter new high growth potential industries. For [...]

Super Founders uses a data-driven approach to understand what really differentiates billion-dollar startups from the rest—revealing that nearly everything we thought was true about them is false! Ali Tamaseb has spent thousands of hours manually amassing what may be the largest dataset ever collected on startups, comparing billion-dollar startups with those that failed to become one—30,000 data points on nearly every factor: number of competitors, market size, the founder’s age, his or her university’s ranking, quality of investors, fundraising time, and many, many more. And what he found looked far different than expected. Just to mention a few: Most unicorn founders had no industry experience; There's no disadvantage to being a solo founder or to being a non-technical CEO; Less than 15% went through any kind of accelerator program; Over half had strong competitors when starting--being first to market with an idea does not actually matter. You will also hear the stories of the early days of billion-dollar startups first-hand. The book includes exclusive interviews with the founders/investors of Zoom, Instacart, PayPal, Nest, Github, Flatiron Health, Kite Pharma, Facebook, Stripe, Airbnb, YouTube, LinkedIn, Lyft, DoorDash, Coinbase, and Square, venture capital investors like Elad Gil, Peter Thiel, Alfred Lin from Sequoia Capital and Keith Rabois of Founders Fund, as well as previously untold stories about the early days of ByteDance (TikTok), WhatsApp, Dropbox, Discord, DiDi, Flipkart, Instagram, Careem, Peloton, and SpaceX. Packed with counterintuitive insights and inside stories from people who have built massively successful companies, Super Founders is a paradigm-shifting and actionable guide for entrepreneurs, investors, and anyone interested in what makes a startup successful.

This book contains the refereed proceedings of the 16th International Conference on Agile Software Development, XP 2015, held in Helsinki, Finland, in May 2015. While agile development has already become mainstream in industry, this field is still constantly evolving and continues to spur an enormous interest both in industry and academia. The XP conference series has always played, and continues to play, an important role in connecting the academic and practitioner communities, providing a forum for both formal and informal sharing and development of ideas, experiences, and opinions. The theme of XP 2015 "Delivering Value: Moving from Cyclic to Continuous Value Delivery" reflects the modern trend towards organizations that are simultaneously very efficient and flexible in software development and delivery. The 15 full and 7 short papers accepted for XP 2015 were selected from 44 submissions. All of the submitted papers went through a rigorous peer-review process. Additionally, 11 experience reports were selected from 45 proposals, and in each case the authors were shepherded by an experienced researcher.