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Most startups fail. But many of those failures are preventable. The Lean Startup is a new approach being adopted across the globe, changing the way companies are built and new products are launched.Eric Ries defines a startup as an organization dedicated to creating something new under conditions of extreme uncertainty. This is just as true for one person in a garage or a group of seasoned professionals in a Fortune 500 boardroom. What they have in common is a mission to penetrate that fog of uncertainty to discover a successful path to a sustainable business.The Lean Startup approach fosters companies that are both more capital efficient and that leverage human creativity more effectively. Inspired by lessons from lean manufacturing, it relies on “validated learning,” rapid scientific experimentation, as well as a number of counter-intuitive practices that shorten product development cycles, measure actual progress without resorting to vanity metrics, and learn what customers really want. It enables a company to shift directions with agility, altering plans inch by inch, minute by minute.Rather than wasting time creating elaborate business plans, The Lean Startup offers entrepreneurs—in companies of all sizes—a way to test their vision continuously, to adapt and adjust before it’s too late. Ries provides a scientific approach to creating and managing successful startups in a age when companies need to innovate more than ever.

Business Model Generation is a handbook for visionaries, game changers, and challengers striving to defy outmoded business models and design tomorrow's enterprises. If your organization needs to adapt to harsh new realities, but you don't yet have a strategy that will get you out in front of your competitors, you need Business Model Generation.Co-created by 470 "Business Model Canvas" practitioners from 45 countries, the book features a beautiful, highly visual, 4-color design that takes powerful strategic ideas and tools, and makes them easy to implement in your organization. It explains the most common Business Model patterns, based on concepts from leading business thinkers, and helps you reinterpret them for your own context. You will learn how to systematically understand, design, and implement a game-changing business model--or analyze and renovate an old one. Along the way, you'll understand at a much deeper level your customers, distribution channels, partners, revenue streams, costs, and your core value proposition.Business Model Generation features practical innovation techniques used today by leading consultants and companies worldwide, including 3M, Ericsson, Capgemini, Deloitte, and others. Designed for doers, it is for those ready to abandon outmoded thinking and embrace new models of value creation: for executives, consultants, entrepreneurs, and leaders of all organizations. If you're ready to change the rules, you belong to "the business model generation!"

Most managers fail. Some 70% of employees say they are dissatisfied with their line manager. A shocking 50% are labelled as incompetent, a disappointment or a wrong hire by their co-workers. But, what do we expect when over half new managers are given no training when they are promoted? Becoming a manager isn't a progression; it's an entirely new job. Penguin Expert Series: Managing People is a manual for managers who want to succeed in their new job, motivate and direct their teams and establish a working culture where everyone wants to do their best work. The book condenses Simon Birkenhead's decades of experience working as a team leader. He reveals; what makes a good manager, highlights common pitfalls to avoid, presents his tried and tested 'four-lever framework.' With strategies to activate motivation in your team, set goals and expectations, provide feedback and coaching to building a high-performance culture, and plenty of examples from across industries, this is everything first-time managers need to succeed and be the boss that everyone wants to work for.

The revolutionary “Red Book” that helped a generation work smarter, better, and faster—now expanded and updated with new stories, new ideas, and new methods to radically improve the way you and your company deliver resultsIf you’ve ever been startled by how fast the world is changing, the Scrum framework is one of the reasons why. Productivity gains in workflow of as much as 1,200 percent have been recorded, and there’s no more lucid—or compelling—explainer of Scrum and its bright promise than Jeff Sutherland. The thorny problem that Sutherland began tackling back then boils down to this: People are spectacularly bad at doing things with agility and efficiency. Best-laid plans go up in smoke. Teams often work at cross-purposes to one another. And when the pressure rises, unhappiness soars.Woven with insights from martial arts, judicial decision making, advanced aerial combat, robotics, and Sutherland’s experience as a West Point–educated fighter pilot, a biometrics expert, a medical researcher, an early innovator of ATM technology, and a C-level executive at eleven different technology companies, this book will take you to Scrum’s front lines, where Sutherland’s system has brought the FBI into the twenty-first century, helped support John Deere’s supply chain amid a global pandemic and supply chain shortage, reduced poverty in the Third World, and even planned weddings and accomplished weekend chores.The way we work has changed dramatically since Sutherland first introduced Scrum a decade ago. This urgent update shares new insights and provides new tools to take advantage of the radical productivity that Scrum delivers. Sutherland will show you how to optimize working with artificial intelligence and share the latest cognitive science research on culture, psychological safety, diversity, and happiness, and how these factors drive performance, innovation, and overall organizational health.This new edition contains a decade of lessons learned. Whether it’s ten years ago, now, or ten years into the future, the Scrum framework is guaranteed to help you deliver results. But the most important reason to read this book is that it may just help you achieve what others consider unachievable.

Economics is not a field that is known for good writing. Charts, yes. Sparkling prose, no.   Except, that is, when it comes to Deirdre Nansen McCloskey. Her conversational and witty yet always clear style is a hallmark of her classic works of economic history, enlivening the dismal science and engaging readers well beyond the discipline. And now she’s here to share the secrets of how it’s done.   Economical Writing is itself economical: a collection of thirty-five pithy rules for making your writing clear, concise, and effective. Proceeding from big-picture ideas to concrete strategies for improvement at the level of the paragraph, sentence, or word, McCloskey shows us that good writing, after all, is not just a matter of taste—it’s a product of adept intuition and a rigorous revision process. Debunking stale rules, warning us that “footnotes are nests for pedants,” and offering an arsenal of readily applicable tools and methods, she shows writers of all levels of experience how to rethink the way they approach their work, and gives them the knowledge to turn mediocre prose into magic.   At once efficient and digestible, hilarious and provocative, Economical Writing lives up to its promise. With McCloskey as our guide, it’s impossible not to see how any piece of writing—on economics or any other subject—can be a pleasure to read.

An analysis of the new business paradigm shows how firms that do "everything right" can nevertheless fail because of new technologies and disruptions in the market structure.

The 10th-anniversary edition of the New York Times business bestseller-now updated with "Answers to Ten Questions People Ask"We attempt or avoid difficult conversations every day-whether dealing with an underperforming employee, disagreeing with a spouse, or negotiating with a client. From the Harvard Negotiation Project, the organization that brought you Getting to Yes, Difficult Conversations provides a step-by-step approach to having those tough conversations with less stress and more success. you'll learn how to:· Decipher the underlying structure of every difficult conversation· Start a conversation without defensiveness· Listen for the meaning of what is not said· Stay balanced in the face of attacks and accusations· Move from emotion to productive problem solving

Refactoring is about improving the design of existing code. It is the process of changing a software system in such a way that it does not alter the external behavior of the code, yet improves its internal structure. With refactoring you can even take a bad design and rework it into a good one. This book offers a thorough discussion of the principles of refactoring, including where to spot opportunities for refactoring, and how to set up the required tests. There is also a catalog of more than 40 proven refactorings with details as to when and why to use the refactoring, step by step instructions for implementing it, and an example illustrating how it works The book is written using Java as its principle language, but the ideas are applicable to any OO language.

Known from its last editions as the "Bible of Forecasting", the third edition of this authoritative text has adopted a new approach-one that is as new as the latest trends in the field: "Explaining the past is not adequate for predicting the future". In other words, accurate forecasting requires more than just the fitting of models to historical data. Inside, readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. And readers will develop the necessary skills to meet the increased demand for thoughtful and realistic forecasts.

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well. The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.