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Author: S. Hamilton
Publisher: Springer
ISBN: 023050275X
Category : Business & Economics
Languages : en
Pages : 224
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Book Description
This book is for anyone who wants to know what truly lies behind the scandals and disasters of global business which marred the first few years of the 21st century. It examines why companies fail, finding the reasons few, yet all too common. It also explores what the prudent investor, board member or manager should be alert to but often is not.
Author: S. Hamilton
Publisher: Springer
ISBN: 023050275X
Category : Business & Economics
Languages : en
Pages : 224
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Book Description
This book is for anyone who wants to know what truly lies behind the scandals and disasters of global business which marred the first few years of the 21st century. It examines why companies fail, finding the reasons few, yet all too common. It also explores what the prudent investor, board member or manager should be alert to but often is not.
Author: Kent Greenfield
Publisher: ReadHowYouWant.com
ISBN: 1459606167
Category : Law
Languages : en
Pages : 562
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Book Description
When used in conjunction with corporations, the term public is misleading. Anyone can purchase shares of stock, but public corporations themselves are uninhibited by a sense of societal obligation or strict public oversight. In fact, managers of most large firms are prohibited by law from taking into account the interests of the public in de...
Author: Tom Eisenmann
Publisher: Currency
ISBN: 0593137027
Category : Business & Economics
Languages : en
Pages : 370
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Book Description
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.
Author: William S. Laufer
Publisher: University of Chicago Press
ISBN: 0226470423
Category : Law
Languages : en
Pages : 306
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Book Description
We live in an era defined by corporate greed and malfeasance—one in which unprecedented accounting frauds and failures of compliance run rampant. In order to calm investor fears, revive perceptions of legitimacy in markets, and demonstrate the resolve of state and federal regulators, a host of reforms, high-profile investigations, and symbolic prosecutions have been conducted in response. But are they enough? In this timely work, William S. Laufer argues that even with recent legal reforms, corporate criminal law continues to be ineffective. As evidence, Laufer considers the failure of courts and legislatures to fashion liability rules that fairly attribute blame for organizations. He analyzes the games that corporations play to deflect criminal responsibility. And he also demonstrates how the exchange of cooperation for prosecutorial leniency and amnesty belies true law enforcement. But none of these factors, according to Laufer, trumps the fact that there is no single constituency or interest group that strongly and consistently advocates the importance and priority of corporate criminal liability. In the absence of a new standard of corporate liability, the power of regulators to keep corporate abuses in check will remain insufficient. A necessary corrective to our current climate of graft and greed, Corporate Bodies and Guilty Minds will be essential to policymakers and legal minds alike. “[This] timely work offers a dispassionate analysis of problems relating to corporate crime.”—Harvard Law Review
Author: R.A.I. van Frederikslust
Publisher: Springer Science & Business Media
ISBN: 1468471910
Category : Social Science
Languages : en
Pages : 126
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Book Description
1. 0 INTRODUCTION. In this chapter we define first in Section I. I the concept of failure used in this study. Thereafter, we discuss briefly the causes and possible consequ ences of failure. Finally, we explain in Section 1. 2 the aim of this study. 1. 1 THE CONCEPT OF FAILURE. In this monograph we investigate the predictability of corporate failure. By 'failure' we understand the inability of a firm to pay its obligations when these fall due (i. e. technical cash insolvency). (Walter 1957 and Donaldson 1962 and 1969). Failure mostly appears in a critical situation as a consequ ence of a sharp decline in sales. Such a decline can be caused by a recession, the loss of an important customer, shortage of a raw material, deficiencies of management, etc. The ability to predict corporate failure is important for all parties involved in the corporation, in particular for management and investors. An early warning signal of probable failure will enable them to take preventive measures: changes in operating policy or reorganization of financial structure, but also voluntary liquidation will usually shorten the period over which losses are incurred. The possibility to predict failure is important also from a social point of view, because such an event is an indication of misallocation of resources; prediction provides opportunities to take corrective measures. (See also Lev 1974, p. 134). 1. 2 AIM AND OUTLINE OF THE STUDY.
Author: Steven Conn
Publisher: Cornell University Press
ISBN: 1501742094
Category : Education
Languages : en
Pages : 182
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Book Description
Do business schools actually make good on their promises of "innovative," "outside-the-box" thinking to train business leaders who will put society ahead of money-making? Do they help society by making better business leaders? No, they don't, Steven Conn asserts, and what's more they never have. In throwing down a gauntlet on the business of business schools, Conn's Nothing Succeeds Like Failure examines the frictions, conflicts, and contradictions at the heart of these enterprises and details the way business schools have failed to resolve them. Beginning with founding of the Wharton School in 1881, Conn measures these schools' aspirations against their actual accomplishments and tells the full and disappointing history of missed opportunities, unmet aspirations, and educational mistakes. Conn then poses a set of crucial questions about the role and function of American business schools. The results aren't pretty. Posing a set of crucial questions about the function of American business schools, Nothing Succeeds Like Failure is pugnacious and controversial. Deeply researched and fun to read, Nothing Succeeds Like Failure argues that the impressive façades of business school buildings resemble nothing so much as collegiate versions of Oz. Conn pulls back the curtain to reveal a story of failure to meet the expectations of the public, their missions, their graduates, and their own lofty aspirations of producing moral and ethical business leaders.
Author: Richard Morris
Publisher: Routledge
ISBN: 0429857934
Category : Social Science
Languages : en
Pages : 425
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Book Description
Published in 1997, this text focuses on the conundrum between the academics ability to distinguish between failing and non-failing businesses with models of over 85.5per cent accuracy, and the reasons why credit agencies and the like do not act on such information. The author asks, are the models defective?
Author: Richard Morris
Publisher: Routledge
ISBN: 0429857926
Category : Social Science
Languages : en
Pages : 450
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Book Description
Published in 1997, this text focuses on the conundrum between the academics ability to distinguish between failing and non-failing businesses with models of over 85.5per cent accuracy, and the reasons why credit agencies and the like do not act on such information. The author asks, are the models defective?
Author: Ram Avtar Yadav
Publisher: Concept Publishing Company
ISBN:
Category : Corporations
Languages : en
Pages : 222
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Book Description
Author: Stewart Jones
Publisher: Routledge
ISBN: 1317225368
Category : Business & Economics
Languages : en
Pages : 212
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Book Description
This book is an introduction text to distress risk and corporate failure modelling techniques. It illustrates how to apply a wide range of corporate bankruptcy prediction models and, in turn, highlights their strengths and limitations under different circumstances. It also conceptualises the role and function of different classifiers in terms of a trade-off between model flexibility and interpretability. Jones's illustrations and applications are based on actual company failure data and samples. Its practical and lucid presentation of basic concepts covers various statistical learning approaches, including machine learning, which has come into prominence in recent years. The material covered will help readers better understand a broad range of statistical learning models, ranging from relatively simple techniques, such as linear discriminant analysis, to state-of-the-art machine learning methods, such as gradient boosting machines, adaptive boosting, random forests, and deep learning. The book’s comprehensive review and use of real-life data will make this a valuable, easy-to-read text for researchers, academics, institutions, and professionals who make use of distress risk and corporate failure forecasts.
