The authors, co-founders of Change Guides LLC, bring simplicity and order to the complex topic of organizational change, guiding leaders in achieving their manageable goals.

The Change Management Pocket Guide is a fantastic resource for people who need to make change happen. This tactical, hands-on guide will lead you through the steps of the entire process from planning for change through sustaining new ways. It includes 27 valuable change management tools that can be adapted to fit any team or organization's situation.

Agile change management is the adaptive and iterative planning and execution of change management practices that encourages flexibility and speed. In agile change environments, changes happen swiftly and repetitively. In these environments, the goals of change management work are largely unchanged. However, there are unique principles and tools that influence how change management is applied to help people be ready, willing, and able to work in new ways. In this book, we have identified the principles and practices for managing change in an agile, fast, iterative, environment. If organizations want to make effective change, they need to recognize and deal with the principles of how change happens within agile organizations and have the tools to make the work happen. The book is divided into two parts - one that teaches background, ideas and approaches, and one that is rooted in the day to day tactics for the change leader who is managing change in iterative fast-paced change environments.

Organizational change may well be the most oft-repeated and widely embraced term in all of corporate America-but it is also the least understood. The proof is in the numbers: Nearly two-thirds of all change efforts fail, and they carry with them huge human and economic tolls. Lacking any overarching paradigm for change, executives of large, underperforming organizations have been left with little guidance in how to choose the strategies that will lead them to sustained success. In Breaking the Code of Change, editors Michael Beer and Nitin Nohria provide a crucial starting point on the journey toward unlocking our understanding of organizational change. The book is based on a dynamic debate attended by the leading lights in the field-including scholars, consultants, and CEOs who have led successful transformations-and presents a series of articles, written by these experts, that collectively address the question: How can change be managed effectively? Beer and Nohria organize the book around two dominant, yet opposing, theories of change-one based on the creation of economic value (Theory E), and the other on building organizational capabilities for the long haul (Theory O). Structured in an unusual and engaging point-counterpoint style, the book enlists the reader directly in the debate, providing a comprehensive overview of the strengths and weaknesses of each theory along every dimension of the change process-from motivation to leadership to compensation issues. The editors argue that the key to solving the paradox of change lies not in choosing between the two processes, but in integrating them. They identify the crucial considerations leaders must make in selecting strategies that satisfy shareholders and develop lasting organizational capabilities. With a groundbreaking conceptual framework applicable to established corporations and small organizations alike, Breaking the Code of Change is a unique and authoritative contribution to academic research and management practice on the process of organizational change. Michael Beer is the Cahners-Rabb Professor of Business Administration at Harvard Business School. Nitin Nohria is the Richard P. Chapman Professor of Business Administration at Harvard Business School.

This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Foundational introduction to the concept that organizations create major impacts by making small changes.

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.