At under 200 pages it's quick reading too. Makes a great airplane book.

    It has sold 30,000 copies in each edition and will continue to reach a huge academic audience.In this renowned book, Everett M. Rogers, professor and chair of the Department of Communication & Journalism at the University of New Mexico, explains how new ideas spread via communication channels over time. Such innovations are initially perceived as uncertain and even risky. To overcome this uncertainty, most people seek out others like themselves who have already adopted the new idea. Thus the diffusion process consists of a few individuals who first adopt an innovation, then spread the word among their circle of acquaintances--a process which typically takes months or years. But there are exceptions: use of the Internet in the 1990s, for example, may have spread more rapidly than any other innovation in the history of humankind. Furthermore, the Internet is changing the very nature of diffusion by decreasing the importance of physical distance between people. The fifth edition addresses the spread of the Internet, and how it has transformed the way human beings communicate and adopt new ideas.

    The reality is that most innovations come from a process of rigorous examination through which great ideas are identified and developed before being realized as new offerings and capabilities.This book introduces the idea of design thinking‚ the collaborative process by which the designer′s sensibilities and methods are employed to match people′s needs not only with what is technically feasible and a viable business strategy. In short‚ design thinking converts need into demand. It′s a human−centered approach to problem solving that helps people and organizations become more innovative and more creative.Design thinking is not just applicable to so−called creative industries or people who work in the design field. It′s a methodology that has been used by organizations such as Kaiser Permanente to icnrease the quality of patient care by re−examining the ways that their nurses manage shift change‚ or Kraft to rethink supply chain management. This is not a book by designers for designers; this is a book for creative leaders seeking to infuse design thinking into every level of an organization‚ product‚ or service to drive new alternatives for business and society.

    Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.

    But how can you be the person who comes up with those ideas? In this revised and expanded edition of his groundbreaking Thinkertoys, creativity expert Michael Michalko reveals life-changing tools that will help you think like a genius. From the linear to the intuitive, this comprehensive handbook details ingenious creative-thinking techniques for approaching problems in unconventional ways. Through fun and thought-provoking exercises, you’ll learn how to create original ideas that will improve your personal life and your business life. Michalko’s techniques show you how to look at the same information as everyone else and see something different.  With hundreds of hints, tricks, tips, tales, and puzzles, Thinkertoys will open your mind to a world of innovative solutions to everyday and not-so-everyday problems.

    The pass was intercepted and the Seahawks lost. Critics called it the dumbest play in history. But was the call really that bad? Or did Carroll actually make a great move that was ruined by bad luck?Even the best decision doesn't yield the best outcome every time. There's always an element of luck that you can't control, and there is always information that is hidden from view. So the key to long-term success (and avoiding worrying yourself to death) is to think in bets: How sure am I? What are the possible ways things could turn out? What decision has the highest odds of success? Did I land in the unlucky 10% on the strategy that works 90% of the time? Or is my success attributable to dumb luck rather than great decision making?Annie Duke, a former World Series of Poker champion turned business consultant, draws on examples from business, sports, politics, and (of course) poker to share tools anyone can use to embrace uncertainty and make better decisions. For most people, it's difficult to say "I'm not sure" in a world that values and, even, rewards the appearance of certainty. But professional poker players are comfortable with the fact that great decisions don't always lead to great outcomes and bad decisions don't always lead to bad outcomes.By shifting your thinking from a need for certainty to a goal of accurately assessing what you know and what you don't, you'll be less vulnerable to reactive emotions, knee-jerk biases, and destructive habits in your decision making. You'll become more confident, calm, compassionate and successful in the long run.

    This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to - Use the scientific method to evaluate hypotheses using controlled experiments - Define key metrics and ideally an Overall Evaluation Criterion - Test for trustworthiness of the results and alert experimenters to violated assumptions - Build a scalable platform that lowers the marginal cost of experiments close to zero - Avoid pitfalls like carryover effects and Twyman's law - Understand how statistical issues play out in practice.

    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

    The rules? No marketing budget, no PR stunts, and it must be sustainably successful. No short-term fads.This is not a game of chance. It is a game of skill and strategy.And it begins with a single question: given competing products of equal pricing, promotion, and perceived quality, why does one outsell the others?The answer doesn’t live in the sustainably successful products or services. The answer lives in those who use them.Our goal is to craft a strategy for creating successful users. And that strategy is full of surprising, counter-intuitive, and astonishingly simple techniques that don’t depend on a massive marketing or development budget. Techniques typically overlooked by even the most well-funded, well-staffed product teams.Every role is a key player in this game. Product development, engineering, marketing, user experience, support—everyone on the team. Even if that team is a start-up of one. Armed with a surprisingly overlooked science and a unique POV, we can can reduce the role of luck. We can build sustainably successful products and services that rely not on unethical persuasive marketing tricks but on helping our users have deeper, richer experiences. Not just in the moments while they’re using our product but, more importantly, in the moments when they aren’t.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    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.

    Suppose that different food inspectors give different ratings to indistinguishable restaurants — or that when a company is handling customer complaints, the resolution depends on who happens to be handling the particular complaint. Now imagine that the same doctor, the same judge, the same inspector, or the same company official makes different decisions, depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical.   In Noise, Daniel Kahneman, Cass R. Sunstein, and Olivier Sibony show how noise contributes significantly to errors in all fields, including medicine, law, economic forecasting, police behavior, food safety, bail, security checks at airports, strategy, and personnel selection. And although noise can be found wherever people make judgments and decisions, individuals and organizations alike are commonly oblivious to the role of chance in their judgments and in their actions.   Drawing on the latest findings in psychology and behavioral economics, and the same kind of diligent, insightful research that made Thinking, Fast and Slow and Nudge groundbreaking New York Times bestsellers, Noise explains how and why humans are so susceptible to noise in judgment — and what we can do about it.

    His blog has garnered a devoted following of millions of readers who have come to rely on him to help them run their businesses. A lifelong rap fan, Horowitz amplifies business lessons with lyrics from his favorite songs and tells it straight about everything from firing friends to poaching competitors, from cultivating and sustaining a CEO mentality to knowing the right time to cash in.His advice is grounded in anecdotes from his own hard-earned rise—from cofounding the early cloud service provider Loudcloud to building the phenomenally successful Andreessen Horowitz venture capital firm, both with fellow tech superstar Marc Andreessen (inventor of Mosaic, the Internet's first popular Web browser). This is no polished victory lap; he analyzes issues with no easy answers through his trials, includingdemoting (or firing) a loyal friend;whether you should incorporate titles and promotions, and how to handle them;if it's OK to hire people from your friend's company;how to manage your own psychology, while the whole company is relying on you;what to do when smart people are bad employees;why Andreessen Horowitz prefers founder CEOs, and how to become one;whether you should sell your company, and how to do it.Filled with Horowitz's trademark humor and straight talk, and drawing from his personal and often humbling experiences, The Hard Thing About Hard Things is invaluable for veteran entrepreneurs as well as those aspiring to their own new ventures.

    Ideas for new businesses, solutions to the world's problems, and artistic breakthroughs are common, but great execution is rare. According to Scott Belsky, the capacity to make ideas happen can be developed by anyone willing to develop their organizational habits and leadership capability. That's why he founded Behance, a company that helps creative people and teams across industries develop these skills. Belsky has spent six years studying the habits of creative people and teams that are especially productive-the ones who make their ideas happen time and time again. After interviewing hundreds of successful creatives, he has compiled their most powerful-and often counterintuitive-practices, such as: •Generate ideas in moderation and kill ideas liberally •Prioritize through nagging •Encourage fighting within your team While many of us obsess about discovering great new ideas, Belsky shows why it's better to develop the capacity to make ideas happen-a capacity that endures over time.

    Nothing could be further from the truth. In Behind Every Good Decision, authors and analytics experts Piyanka Jain and Puneet Sharma demonstrate how professionals at any level can take the information at their disposal and leverage it to make better decisions. The authors’ streamlined frame work demystifies the process of business analytics and helps anyone move from data to decisions in just five steps…using only Excel as a tool. Readers will learn how to: Clarify the business question • Lay out a hypothesis-driven plan • Pull relevant data • Convert it to insights • Make decisions that make an impact Packed with examples and exercises, this refreshingly accessible book explains the four fundamental analytic techniques that can help solve a surprising 80% of all business problems. Business analytics isn’t rocket science—it’s a simple problem-solving tool that can help companies increase revenue, decrease costs, improve products, and delight customers. And who doesn’t want to do that?