Why Startups Fail
Why Startups Fail

Author: Tom Eisenmann

Publisher: Currency

Published: 2021-03-30

Total Pages: 370

ISBN-13: 0593137027

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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.

Essentials of Economics
Essentials of Economics

Author: James D Gwartney

Publisher: Academic Press

Published: 2014-05-10

Total Pages: 502

ISBN-13: 1483262944

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Essentials of Economics, Second Edition is a text intended for a one-term course in economics for college students. It attempts to teach students of the analytic way of studying economics and provides the basics of the concept of political economy and uses this knowledge to explain the choice process in the public sector. The book presents a comprehensive survey of economics. It contains chapters that highlight the importance of the microincentive structure of macroeconomic markets; identifies the determinants of supply, as well as the impact of public policy on those determinants; and presents both adaptive and rational expectations theory. The linkage between production theory and the cost curves faced by the firm; examination of the market structure; and the role of regulation and deregulation are covered as well. Economics students will find the book very useful.

Investments
Investments

Author: Gerald R. Jensen

Publisher: John Wiley & Sons

Published: 2019-11-19

Total Pages: 674

ISBN-13: 1119578078

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The revised and updated fourteenth edition of Investments: Analysis and Management explains the essentials of investing and supports good investment decisions. More than a simple introduction to the subject, this comprehensive textbook prepares students to handle real-world investment problems and controversies in a clear and accessible manner. Emphasizing readability, Authors Charles Jones and Gerald Jensen minimize complex formulas and simplify difficult material—enabling students of all levels and backgrounds to follow the entire discussion and delve further into the subject. Ideally suited for beginning courses in investments, this textbook is designed as a practical guide to help students gain foundational knowledge of investing and develop the analytic skills necessary for deciphering investment issues. Carefully organized chapters guide students through fundamental investing concepts, portfolio and capital market theory, common stock analysis and valuation, fixed-income and derivative securities, the specifics of security analysis and portfolio management, and more. A broad range of pedagogical tools—including bulleted summaries, numbered examples, spreadsheet exercises, computational problems, and an extensive set of chapter review questions—strengthens student comprehension and retention.

Data-Driven Business Decisions
Data-Driven Business Decisions

Author: Chris J. Lloyd

Publisher: John Wiley & Sons

Published: 2011-10-25

Total Pages: 512

ISBN-13: 0470619600

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A hands-on guide to the use of quantitative methods and software for making successful business decisions The appropriate use of quantitative methods lies at the core of successful decisions made by managers, researchers, and students in the field of business. Providing a framework for the development of sound judgment and the ability to utilize quantitative and qualitative approaches, Data Driven Business Decisions introduces readers to the important role that data plays in understanding business outcomes, addressing four general areas that managers need to know about: data handling and Microsoft Excel, uncertainty, the relationship between inputs and outputs, and complex decisions with trade-offs and uncertainty. Grounded in the author's own classroom approach to business statistics, the book reveals how to use data to understand the drivers of business outcomes, which in turn allows for data-driven business decisions. A basic, non-mathematical foundation in statistics is provided, outlining for readers the tools needed to link data with business decisions; account for uncertainty in the actions of others and in patterns revealed by data; handle data in Excel; translate their analysis into simple business terms; and present results in simple tables and charts. The author discusses key data analytic frameworks, such as decision trees and multiple regression, and also explores additional topics, including: Use of the Excel® functions Solver and Goal Seek Partial correlation and auto-correlation Interactions and proportional variation in regression models Seasonal adjustment and what it reveals Basic portfolio theory as an introduction to correlations Chapters are introduced with case studies that integrate simple ideas into the larger business context, and are followed by further details, raw data, and motivating insights. Algebraic notation is used only when necessary, and throughout the book, the author utilizes real-world examples from diverse areas such as market surveys, finance, economics, and business ethics. Excel® add-ins StatproGo and TreePlan are showcased to demonstrate execution of the techniques, and a related website features extensive programming instructions as well as insights, data sets, and solutions to problems included in the material. Data Driven Business Decisions is an excellent book for MBA quantitative analysis courses or undergraduate general statistics courses. It also serves as a valuable reference for practicing MBAs and practitioners in the fields of statistics, business, and finance.