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How to Innovate and Execute Leaders already know that innovation calls for a different set of activities, skills, methods, metrics, mind-sets, and leadership approaches. And it is well understood that creating a new business and optimizing an already existing one are two fundamentally different management challenges. The real problem for leaders is doing both, simultaneously. How do you meet the performance requirements of the existing business—one that is still thriving—while dramatically reinventing it? How do you envision a change in your current business model before a crisis forces you to abandon it? Innovation guru Vijay Govindarajan expands the leader’s innovation tool kit with a simple and proven method for allocating the organization’s energy, time, and resources—in balanced measure—across what he calls “the three boxes”: • Box 1: The present—Manage the core business at peak profitability • Box 2: The past—Abandon ideas, practices, and attitudes that could inhibit innovation • Box 3: The future—Convert breakthrough ideas into new products and businesses The three-box framework makes leading innovation easier because it gives leaders a simple vocabulary and set of tools for managing and measuring these different sets of behaviors and activities across all levels of the organization. Supported with rich company examples—GE, Mahindra & Mahindra, Hasbro, IBM, United Rentals, and Tata Consultancy Services—and testimonies of leaders who have successfully used this framework, this book solves once and for all the practical dilemma of how to align an organization on the critical but competing demands of innovation.
A new, comprehensive playbook for innovation from the New York Times bestselling author of Reverse Innovation, Vijay Govindarajan In his seminal book The Three-Box Solution, Vijay Govindarajan offered an amazingly simple and highly effective framework for leading innovation: Execute the present core business at peak efficiency (Box 1) Avoid the inhibiting traps of past success (Box 2) Build a future day by day through breakthrough innovations (Box 3) Since the book's publication, companies across the globe have used the three-box framework to great success. Now, along with Manish Tangri, a corporate dealmaker at Intel, Govindarajan goes deeper into the most crucial box of all: creating the future. Together they provide a repeatable process for companies to create new breakthroughs--from ideation through incubation to scaling. Full of worksheets, exercises, tools, and examples, The Three-Box Solution Playbook is the guide you and your team need to drive innovation and growth--and continually revitalize your company.
New York Times bestselling author C.J. Box's novels have been called "red hot" (Booklist) and "edge-of-your-seat read[s]" (Omaha World-Herald). Now he delivers a novel that will steal your sleep as much as it will wrench your heart. Three Weeks to Say Goodbye is a novel about something that could be anyone's worst nightmare. . . Jack and Melissa McGuane have spent years trying to have a baby. Finally their dream has come true with the adoption of their daughter, Angelina. But nine months after bringing her home, they receive a devastating phone call... Angelina's birth father, a teenager, never signed away his parental rights—and he wants her back. Worse, his father, a powerful Denver judge, will use every trick in the book to make sure it happens. The McGuanes attempt to meet face-to-face with the father and son...but soon it becomes clear that there's something sinister about their motivations—and that love for Angelina is not one of them. A horrifying game of intimidation and double crosses begins that quickly becomes a death spiral where everyone is suspect and no one is safe. Now Jack and Melissa will stop at nothing to protect their child—even though time is running out... C.J. Box has once again written a bone-chilling thriller that will keep you guessing until the very last page.
In their first book, Ten Rules for Strategic Innovators, the authors provided a better model for executing disruptive innovation. They laid out a three-part plan for launching high-risk/high-reward innovation efforts: (1) borrow assets from the existing firms, (2) unlearn and unload certain processes and systems that do not serve the new entity, and (3) learn and build all new capabilities and skills. In their study of the Ten Rules in action, Govindarajan and Trimble observed many other kinds of innovation that were less risky but still critical to the company's ongoing success. In case after case, senior executives expected leaders of innovation initiatives to grapple with forces of resistence, namely incentives to keep doing what the company has always done--rather than develop new competence and knowledge. But where to begin? In this book, the authors argue that the most successful everyday innovators break down the process into six manageable steps: 1. Divide the labor 2. Assemble the dedicated team 3. Manage the partnership 4. Formalize the experiment 5. Break down the hypothesis 6. Seek the truth. The Other Side of Innovation codifies this staged approach in a variety of contexts. It delivers a proven step-by-step guide to executing (launching, managing, and measuring) more modest but necessary innovations within large firms without disrupting their bread-and-butter business.
A unique introduction to Greek mythology in the form of a hinged box containing an assortment of colorful items--marvels of paper engineering--includes a pop-up Trojan horse, a Hercules board game, a booklet, and much more. BOMC & QPB.
The three billy goats outsmart the hungry troll who lives under the bridge.
The tale begins over three-hundred years ago, when the Fair People—the goblins, fairies, dragons, and other fabled and fantastic creatures of a dozen lands—fled the Old World for the New, seeking haven from the ways of Man. With them came their precious jewels: diamonds, rubies, emeralds, pearls... But then the Fair People vanished, taking with them their twelve fabulous treasures. And they remained hidden until now... Across North America, these twelve treasures, over ten-thousand dollars in precious jewels, are buried. The key to finding each can be found within the twelve full color paintings and verses of The Secret. Yet The Secret is much more than that. At long last, you can learn not only the whereabouts of the Fair People's treasure, but also the modern forms and hiding places of their descendants: the Toll Trolls, Maitre D'eamons, Elf Alphas, Tupperwerewolves, Freudian Sylphs, Culture Vultures, West Ghosts and other delightful creatures in the world around us. The Secret is a field guide to them all. Many "armchair treasure hunt" books have been published over the years, most notably Masquerade (1979) by British artist Kit Williams. Masquerade promised a jewel-encrusted golden hare to the first person to unravel the riddle that Williams cleverly hid in his art. In 1982, while everyone in Britain was still madly digging up hedgerows and pastures in search of the golden hare, The Secret: A Treasure Hunt was published in America. The previous year, author and publisher Byron Preiss had traveled to 12 locations in the continental U.S. (and possibly Canada) to secretly bury a dozen ceramic casques. Each casque contained a small key that could be redeemed for one of 12 jewels Preiss kept in a safe deposit box in New York. The key to finding the casques was to match one of 12 paintings to one of 12 poetic verses, solve the resulting riddle, and start digging. Since 1982, only two of the 12 casques have been recovered. The first was located in Grant Park, Chicago, in 1984 by a group of students. The second was unearthed in 2004 in Cleveland by two members of the Quest4Treasure forum. Preiss was killed in an auto accident in the summer of 2005, but the hunt for his casques continues.
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.