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Strategic Bootstrapping is about helping entrepreneurs sift through the “noise” regarding bootstrapping a start-up. The cold-hard facts on bootstrapping are presented. Practically speaking, most entrepreneurs should avoid bootstrapping, realistically, most entrepreneurs will need to engage in some form of bootstrapping. The argument then shifts to how should one bootstrap? In this era of lean start-ups, effectuation, and bricolage, bootstrapping is oft romanticized but seldom analyzed. This book is different from other bootstrapping books in two key ways. First, it draws on evidence from scienti c study to offer best practices. Second, it utilizes this evidence to help en- trepreneurs thrive—not just survive.
This tells the story of Douglas Engelbart's revolutionary vision, reaching beyond conventional histories of Silicon Valley to probe the ideology that shaped some of the basic ingredients of contemporary life.
Fundamentals of Program Management: Strategic Program Bootstrapping for Business Innovation and Change deals with this issue in a new and innovative way. The book is a core subset of a larger, highly successful book previously published in Japan. Its purpose is to provide a linkage between strategy and project management through programs, and to offer a framework for integrating strategy, programs, and projects. To date, this critical linkage has not been well understood and has usually been left to the personal knowledge and expertise of project managers engaged in actual tasks.
Greg Gianforte, the nation's top Bootstrapper, shows you the advantages of Bootstrapping vs. traditionally financed start-ups. You'll also learn how the unconventional Bootstrapping mindset-inventive, pioneering, and skeptical of conventional wisdom-applies to you and your business. With Bootstrapping Your Business at your side, you'll gain the advantage you need to outperform the competition-and succeed in today's take-no-prisoners marketplace.
At last – a systematic critique of the scientific discourse of strategic management. This fantastic book uncovers scholars' unquestioned assumptions and shows that by upholding these assumptions researchers obscure the paradoxical nature of strategic reasoning. To uncover the paradoxes of strategic management the author refers to the philosophy of Jacques Derrida. He delves into the internal contradictions that inevitably occur when theorizing about corporate strategy along the dimensions strategy context, process, and content and shows how these paradoxes can enrich future thinking about strategic problems.
This book is one of the most practical, sound and wise investments you will ever make in your small business. It explains Rich & Ron's process to take a $5,000 investment and bootstrap a successful company. Build a business from where you are. Avoid the big mistakes that kill most businesses. Secure your future financially while maintaining a balanced lifestyle. Bootstrap Business is a self-contained book that explores Rich & Ron's experiences in launching companies. 28 attempts, 10 miserable failures, 8 multi-million dollar successes. Hard work is required. You can do it. Bootstrap Business teaches you how.
Written for existing and future small business owners, this book provides proven, practical tips requiring little or no money on how to grow a business. It also explains where and how to get free assistance and quality advice.
"This book is. . . clear and well-written. . . anyone with any interest in the basis of quantitative analysis simply must read this book. . . . well-written, with a wealth of explanation. . ." --Dougal Hutchison in Educational Research Using real data examples, this volume shows how to apply bootstrapping when the underlying sampling distribution of a statistic cannot be assumed normal, as well as when the sampling distribution has no analytic solution. In addition, it discusses the advantages and limitations of four bootstrap confidence interval methods--normal approximation, percentile, bias-corrected percentile, and percentile-t. The book concludes with a convenient summary of how to apply this computer-intensive methodology using various available software packages.
This book provides encouragement and strategies for researchers who routinely address research questions using data from small samples. Chapters cover such topics as: using multiple imputation software with small sets; computing and combining effect sizes; bootstrap hypothesis testing; application of latent variable modeling; time-series data from small numbers of individuals; and sample size, reliability and tests of statistical mediation.