Most customers struggle to keep up, and usually settle for far less value than they could (and should) get from their purchases. A new business model for the tech industry is needed one that requires radically different thinking about the future of services, sales, R&D priorities, and how companies create shareholder value. This new way of doing business views the use of the product as the beginning of a journey with a customer, not the end. The growing consumption gap caused by the avalanche of complexity that these companies have unleashed on their customers is undermining feature-based differentiation as a competitive advantage. Results-based differentiation actually measured by customers may be the next Big Thing in tech. Complexity Avalanche offers technology companies a roadmap for moving to this next level of services. This is not a book strictly for service executives, but for every executive whose company builds, sells, or supports technology."

Software has long been perceived as complex, at least within Software Engineering circles. We have been living in a recognised state of crisis since the first NATO Software Engineering conference in 1968. Time and again we have been proven unable to engineer reliable software as easily/cheaply as we imagined. Cost overruns and expensive failures are the norm. The problem is fundamentally one of complexity: software is fundamentally complex because it must be precise. Problems that appear to be specified quite easily in plain language become far more complex when written in a more formal notation, such as computer code. Comparisons with other engineering disciplines are deceptive. One cannot easily increase the factor of safety of software in the same way that one could in building a steel structure, for example. Software is typically built assuming perfection, often without adequate safety nets in case the unthinkable happens. In such circumstances it should not be surprising to find out that (seemingly) minor errors have the potential to cause entire software systems to collapse. The goal of this book is to uncover techniques that will aid in overcoming complexity and enable us to produce reliable, dependable computer systems that will operate as intended, and yet are produced on-time, in budget, and are evolvable, both over time and at run time. We hope that the contributions in this book will aid in understanding the nature of software complexity and provide guidance for the control or avoidance of complexity in the engineering of complex software systems.

The complex task of defence equipment acquisition has probably never been more challenging, given developments in defence technologies and the increasing pressures to minimise expenditure and improve best value for money. This publication considers how to address these challenges by applying the philosophy and techniques of defence systems engineering. Topics covered include: an overview of the UK defence environment; aspects of acquisition including Smart Acquisition, research and technology, public-private partnerships and the private finance initiative; operational and financial analysis; supplier issues; test processes and evaluation; effective management procedures; and future developments in defence systems acquisition and engineering in the 21st century.

The book describes what it means to say the world is complex and explores what that means for managers, policy makers and individuals. The first part of the book is about the theory and ideas of complexity. This is explained in a way that is thorough but not mathematical. It compares differing approaches, and also provides a historical perspective, showing how such thinking has been around since the beginning of civilisation. It emphasises the difference between a complexity worldview and the dominant mechanical worldview that underpins much of current management practice. It defines the complexity worldview as recognising the world is interconnected, shaped by history and the particularities of context. The comparison of the differing approaches to modelling complexity is unique in its depth and accessibility. The second part of the book uses this lens of complexity to explore issues in the fields of management, strategy, economics, and international development. It also explores how to facilitate others to recognise the implications of adopting a complex rather than a mechanical worldview and suggests methods of research to explore systemic, path-dependent emergent aspects of situations. The authors of this book span both science and management, academia and practice, thus the explanations of science are authoritative and yet the examples of changing how you live and work in the world are real and accessible. The aim of the book is to bring alive what complexity is all about and to illustrate the importance of loosening the grip of a modernist worldview with its hope for prediction, certainty and control.

New tools for managing complexity Does your organization manage complexity by making things more complicated? If so, you are not alone. According to The Boston Consulting Group’s fascinating Complexity Index, business complexity has increased sixfold during the past sixty years. And, all the while, organizational complicatedness—that is, the number of structures, processes, committees, decision-making forums, and systems—has increased by a whopping factor of thirty-five. In their attempt to respond to the increasingly complex performance requirements they face, company leaders have created an organizational labyrinth that makes it more and more difficult to improve productivity and to pursue innovation. It also disengages and demotivates the workforce. Clearly it’s time for leaders to stop trying to manage complexity with their traditional tools and instead better leverage employees' intelligence. This book shows you how and explains the implications for designing and leading organizations. The way to manage complexity, the authors argue, is neither with the hard solutions of another era nor with the soft solutions—such as team building and feel-good “people initiatives”—that often follow in their wake. Based on social sciences (notably economics, game theory, and organizational sociology) and The Boston Consulting Group’s work with more than five hundred companies in more than forty countries and in various industries, authors Yves Morieux and Peter Tollman recommend six simple rules to manage complexity without getting complicated. Showing why the rules work and how to put them into practice, Morieux and Tollman give managers a much-needed tool to reinvigorate people in the face of seemingly endless complexity. Included are detailed examples from companies that have achieved a multiplicative effect on performance by using them. It’s time to manage complexity better. Employ these six simple rules to foster autonomy and cooperation and to effectively handle business complexity. As a result, you will improve productivity, innovate more, reengage your workforce, and seize opportunities to create competitive advantage.

Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.