Based on open source principles of transparency, participation, and collaboration, "open management" challenges conventional business ideas about what companies are, how they run, and how they make money. This book provides the blueprint for putting it into practice in your own firm. He covers challenges that have been missing from the conversation to date, among them: how to scale engagement; how to have healthy debates that net progress; and how to attract and keep the "Social Generation" of workers. Through a mix of vibrant stories, candid lessons, and tested processes, Whitehurst shows how Red Hat has blown the traditional operating model to pieces by emerging out of a pure bottom up culture and learning how to execute it at scale. And he explains what other companies are, and need to be doing to bring this open style into all facets of the organization.
For the first time, an award-winning Harvard professor shares his wildly popular course on classical Chinese philosophy, showing you how ancient ideas—like the fallacy of the authentic self—can guide you on the path to a good life today. Why is a course on ancient Chinese philosophers one of the most popular at Harvard? Because it challenges all our modern assumptions about what it takes to flourish. Astonishing teachings emerged two thousand years ago through the work of a succession of Chinese scholars exploring how humans can improve themselves and their society. And what are these counterintuitive ideas? Transformation comes not from looking within for a true self, but from creating conditions that produce new possibilities. Good relationships come not from being sincere and authentic, but from the rituals we perform within them. A good life emerges not from planning it out, but through training ourselves to respond well to small moments. Influence comes not from wielding power but from holding back. Excellence comes from what we choose to do, not our natural abilities. In other words, The Path “opens the mind” (Huffington Post) and upends everything we are told about how to lead a good life. Its most radical idea is that there is no path to follow in the first place—just a journey we create anew at every moment by seeing and doing things differently. “With its…spirited, convincing vision, revolutionary new insights can be gleaned from this book on how to approach life’s multifarious situations with both heart and head” (Kirkus Reviews). A note from the publisher: To read relevant passages from the original works of Chinese philosophy, see our ebook Confucius, Mencius, Laozi, Zhuangzi, Xunzi: Selected Passages, available wherever books are sold.
While it may not occur to us on a daily basis, there is a widespread cultural tendency toward quick decisions and quick action. This pattern has resulted in many of our society's greatest successes, but even more of its failures. Though the root cause is by no means malicious, we have begun to reward speed over quality, and the negative effects suffered in both our personal and professional lives are potentially catastrophic. Best-selling author and Chief Envisioner Dan Pontefract offers the solution to this predicament with what he coins "Open Thinking," a cyclical process in which creativity is encouraged, critiquing leads to better decisions, and thoughtful action delivers positive, sustainable results. He proposes a return to balance between the three components of productive thought: dreaming, deciding, and doing. Based on organizational and societal data, academic research, historical studies, and a wide range of interviews, Open to Think is an appeal for a world of better thinking. Pontefract introduces tangible, actionable strategies to improve the way we think as organizations and individuals.
Building on lecture notes from his acclaimed course at Stanford University, James March provides a brilliant introduction to decision making, a central human activity fundamental to individual, group, organizational, and societal life. March draws on research from all the disciplines of social and behavioral science to show decision making in its broadest context. By emphasizing how decisions are actually made -- as opposed to how they should be made -- he enables those involved in the process to understand it both as observers and as participants. March sheds new light on the decision-making process by delineating four deep issues that persistently divide students of decision making: Are decisions based on rational choices involving preferences and expected consequences, or on rules that are appropriate to the identity of the decision maker and the situation? Is decision making a consistent, clear process or one characterized by ambiguity and inconsistency? Is decision making significant primarily for its outcomes, or for the individual and social meanings it creates and sustains? And finally, are the outcomes of decision processes attributable solely to the actions of individuals, or to the combined influence of interacting individuals, organizations, and societies? March's observations on how intelligence is -- or is not -- achieved through decision making, and possibilities for enhancing decision intelligence, are also provided. March explains key concepts of vital importance to students of decision making and decision makers, such as limited rationality, history-dependent rules, and ambiguity, and weaves these ideas into a full depiction of decision making. He includes a discussion of the modern aspects of several classic issues underlying these concepts, such as the relation between reason and ignorance, intentionality and fate, and meaning and interpretation. This valuable textbook by one of the seminal figures in the history of organizational decision making will be required reading for a new generation of scholars, managers, and other decision makers.
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
This intriguing novel follows German author Thomas Mann during three crucial days in 1936. Away in Switzerland and fearing arrest by the Nazis upon his return to Germany, Mann must choose whether to travel back to Munich. He decides to release an open letter to the regime in a Swiss newspaper but is then tortured by doubt: his Jewish publisher in Germany will be furious with the unwelcome attention Mann’s letter is sure to bring, and by choosing exile, isn’t the writer abandoning his loyal readers back home? Will the Nazis burn his books? Will they confiscate his diaries, which include intimate, homoerotic confessions? Britta Böhler shows us one of the twentieth century’s greatest writers as a family man, a father, a writer, and a man with moral doubts. We see a human soul trapped in a historical setting that forces him to make a seemingly impossible choice. A convincing depiction of a dilemma addressed only sparsely in Mann’s own writings, The Decision eloquently explores the all-too-human price of confronting totalitarianism.
16,944 voices reveal the real reasons for joining or not. The Decision to Join: How Individuals Determine Value and Why They Choose to Belong, mines the motivations of nearly 17,000 individuals to give you insights that lead to a true competitive advantage. From membership marketing to strategic planning, The Decision to Join influences every aspect of your organization.
Move Beyond Trade-Off Thinking When it comes to our hardest choices, it can seem as though making trade-offs is inevitable. But what about those crucial times when accepting the obvious trade-off just isn't good enough? What do we do when the choices in front of us don't get us what we need? In those cases, rather than choosing the least worst option, we can use the models in front of us to create a new and superior answer. This is integrative thinking. First introduced by world-renowned strategic thinker Roger Martin in The Opposable Mind, integrative thinking is an approach to problem solving that uses opposing ideas as the basis for innovation. Now, in Creating Great Choices, Martin and his longtime thinking partner Jennifer Riel vividly illustrate how integrative thinking works, and how to do it. The book includes fresh stories of successful integrative thinkers that will demystify the process of creative problem solving, as well as practical tools and exercises to help readers engage with the ideas. And it lays out the authors' four-step methodology for creating great choices, which can be applied in virtually any context. The result is a replicable, thoughtful approach to finding a "third and better way" to make important choices in the face of unacceptable trade‐offs. Insightful and instructive, Creating Great Choices blends storytelling, theory, and hands-on advice to help any leader or manager facing a tough choice.
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
