Here are 100 books that Out of the Crisis fans have personally recommended if you like
Out of the Crisis.
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I'm a programmer and technical author at Octopus Deploy and I'm deeply interested in DevOps. Since the 1950s, people have been studying software delivery in search of better ways of working. We’ve seen many revolutions since Lincoln Labs first introduced us to phased delivery, with lightweight methods transforming how we wrote software at the turn of the century. My interest in DevOps goes beyond my enthusiasm for methods in general, because we now have a great body of research that adds to our empirical observations on the ways we work.
I was a long-time skeptic about the business novel format, but The Goal changed my mind.
In this book, Goldratt presents concepts like Theory of Constraints with a business thriller (seriously). You get to live the same aha moments as the protagonist, Alex Rogo, as he encounters the pipe-smoking philosopher Jonah.
The setting may be a factory, but you’ll find many parallels to your DevOps work in this book.
*A Graphic Novel version of this title is now available: "The Goal: A Business Graphic Novel"
30th Anniversary Edition. Written in a fast-paced thriller style, The Goal, a gripping novel, is transforming management thinking throughout the world. It is a book to recommend to your friends in industry - even to your bosses - but not to your competitors. Alex Rogo is a harried plant manager working ever more desperately to try improve performance. His factory is rapidly heading for disaster. So is his marriage. He has ninety days to save his plant - or it will be closed by…
I was trained as a mathematician but have always been motivated by problem-solving challenges. Statistics and analytics combine mathematical models with statistical thinking. My career has always focused on this combination and, as a statistician, you can apply it in a wide range of domains. The advent of big data and machine learning algorithms has opened up new opportunities for applied statisticians. This perspective complements computer science views on how to address data science. The Real Work of Data Science, covers 18 areas (18 chapters) that need to be pushed forward in order to turning data into information, better decisions, and stronger organizations
In addressing decision makers, an understanding of forces affecting human behavior is essential. The author provides a comprehensive view on the work of Kahneman and Tversky mapping their journey which lead to their highly impactful behavioral economic body of knowledge. The bias they address provides
data scientists a widened perspective on their role and how to address
organizational challenges. This provides a language to recognise and address
bias inherent in human thinking. The book provides a very powerful set of tools
for data scientists who want to see behind the numbers and understand forces
affecting human behavior.
'Michael Lewis could spin gold out of any topic he chose ... his best work ... vivid, original and hard to forget' Tim Harford, Financial Times
'Gripping ... There is war, heroism, genius, love, loss, discovery, enduring loyalty and friendship. It is epic stuff ... Michael Lewis is one of the best non-fiction writers of our time' Irish Times
From Michael Lewis, No.1 bestselling author of The Big Short and Flash Boys, this is the extraordinary story of the two men whose ideas changed the world.
Daniel Kahneman and Amos Tversky met in war-torn 1960s Israel. Both were gifted young…
I was trained as a mathematician but have always been motivated by problem-solving challenges. Statistics and analytics combine mathematical models with statistical thinking. My career has always focused on this combination and, as a statistician, you can apply it in a wide range of domains. The advent of big data and machine learning algorithms has opened up new opportunities for applied statisticians. This perspective complements computer science views on how to address data science. The Real Work of Data Science, covers 18 areas (18 chapters) that need to be pushed forward in order to turning data into information, better decisions, and stronger organizations
The text covers classic statistical inference, early computer-age methods, and twenty-century topics. This puts a unique perspective on current analytic technologies labeled machine learning, artificial intelligence, and statical learning. The examples used provide a powerful description of the methods covered and the compare and contrast sections highlight the evolution of analytics. This book by Efron and Hastie is a natural follow-up source for readers interested in more details.
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic…
I've had a long-time interest in two things: mathematics and social issues. This is why I got degrees in social work (Masters) and sociology (PhD) and eventually focused on the quantitative aspects of these two areas. Social Workers Count gave me the chance to marry these two interests by showing the role mathematics can play in illuminating a number of pressing social issues.
The previous book is about the most prevalent forms of AI, many of which focus on prediction or classification.
For example, a bank may use an AI system that utilizes data about those applying for a loan to predict whether they're likely to default. The judicial system might use an AI model which takes into account a convicted person's attributes in order to predict whether that person is likely to re-offend. A hospital might observe attributes of cells in order to classify them as cancerous or not.
Judea Pearl, a computer scientist at UCLA, has been in a long-running effort to get those working in AI to focus more on designing systems which could engage in causal reasoning. And in doing so, he's had a major influence on a number of disciplines, including computer science, philosophy, statistics, epidemiology, and the social sciences.
'Wonderful ... illuminating and fun to read' - Daniel Kahneman, winner of the Nobel Prize and author of Thinking, Fast and Slow
'"Pearl's accomplishments over the last 30 years have provided the theoretical basis for progress in artificial intelligence and have redefined the term "thinking machine"' - Vint Cerf, Chief Internet Evangelist, Google, Inc.
The influential book in how causality revolutionized science and the world, by the pioneer of artificial intelligence
'Correlation does not imply causation.' This mantra was invoked by scientists for decades in order to avoid taking positions as to whether one thing caused another, such as smoking…
I played rugby union for Durham University and at Rosslyn Park FC in London. Then I became a reporter and editor, for Rugby News magazine and on Fleet Street sports desks. In March 2002, six months after 9/11 and a year before the invasion of Iraq, my Park team played against the cadets of the United States Military Academy. Years later, settled in New York, I decided to find out what happened to those West Point rugby players in the 9/11 wars, and what their experiences might tell us about sports, war, brotherhood, loss, and remembrance.
Junger wrote War, about Afghanistan. But as I found the West Point rugby players’ stories wouldn’t leave me alone, so Junger stayed with those he found in Kunar province.
In Tribe, he considers the ties that bind – notably a focus on the “energy of male conflict and male closeness”. Junger “once asked a combat vet if he’d rather have an enemy or another close friend”. The vet looked at Junger like he was crazy. “‘Oh, an enemy, 100%,’ he said. ‘I’ve already got a lot of friends.’
He thought about it a little longer. ‘Anyway, all my best friends I’ve gotten into fights with – knock-down, drag-out fights. Granted we were always drunk, but think about that.’ He shook his head as if even he couldn’t believe it.”
From the author of THE PERFECT STORM and WAR comes a book about why men miss war, why Londoners missed the Blitz, and what we can all learn from American Indian captives who refused to go home.
Tribe is a look at post-traumatic stress disorder and the challenges veterans face returning to society. Using his background in anthropology, Sebastian Junger argues that the problem lies not with vets or with the trauma they've suffered, but with the society to which they are trying to return.
One of the most puzzling things about veterans who experience PTSD is that the majority…
F. Scott Fitzgerald claimed, “there are no second acts in American lives.” But I am on my third. I started out in the theatre, then became a lawyer, and then a political philosopher. What drove each move is that I was always outraged by injustice and wanted to find a better way to fight against it. For me, reading, writing, and teaching political philosophy turned out to be that way. The books on this list provide important lessons on how certain economic policies can cause injustice while others can cure it. Each has been around for a long time, but they are as relevant today as when they were first written.
How can a society as rich as ours leave so many people behind?
Published in 1958, this book opened my eyes to the importance of economic justice—I first read it in the late 1970s when I was nineteen.
But it is still mind-blowing today, for neither the wrongheadedness of prevailing economic policy nor the solutions that are available for us to do better have changed.
John Kenneth Galbraith's international bestseller The Affluent Society is a witty, graceful and devastating attack on some of our most cherished economic myths.
As relevant today as when it was first published over forty years ago, this newly updated edition of Galbraith's classic text on the 'economics of abundance', lays bare the hazards of individual and social complacency about economic inequality.
Why worship work and productivity if many of the goods we produce are superfluous - artificial 'needs' created by high-pressure advertising? Why begrudge expenditure on vital public works while ignoring waste and extravagance in the private sector of the…
I was trained as a mathematician but have always been motivated by problem-solving challenges. Statistics and analytics combine mathematical models with statistical thinking. My career has always focused on this combination and, as a statistician, you can apply it in a wide range of domains. The advent of big data and machine learning algorithms has opened up new opportunities for applied statisticians. This perspective complements computer science views on how to address data science. The Real Work of Data Science, covers 18 areas (18 chapters) that need to be pushed forward in order to turning data into information, better decisions, and stronger organizations
A lightly technical introduction to a comprehensive framework defining and evaluating the quality of information generated by statistical analysis. It expands the role of analytics by including dimensions that affect information quality such as data resolution, data integration, operationalization, and generalizability of findings. This wide-angle perspective provides a practical checklist that has been found useful in applications. Multiple case studies enable the reader to connect to his favorite topic, but also learn from other areas.
Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Technology, however, fails to deliver insights with added value if the quality of the information it generates is not assured. Information Quality (InfoQ) is a tool developed by the authors to assess the potential of a dataset to achieve a goal of interest, using data analysis. Whether the information quality of a dataset is sufficient is of practical importance…
The nonprofit sector is important to society and I often marvel at how many of us – which is to say all of us – have been touched by the generosity of others. With few exceptions, anyone who has graduated from college, who has been admitted to a hospital, who has attended a faith-based service, who has examined art at a gallery, who – literally, and there are no exceptions here – breathes air has benefited from the work of nonprofit organizations and the philanthropists who support them. It is therefore important to me to understand how the system works and how important charities are to society and a functioning democracy.
Our love for humanity – which is how “philanthropy” is defined – is rooted in our sense of morality.
Adam Smith explains that morality is not driven only by reason, but is built into us because we are social beings. To understand philanthropy, therefore, I think we need a grounding in how and why we want to help others. This book explores that desire, or need, to empathize.
Smith says that when we see people happy or sad, we feel happy or sad too, that we derive pleasure when people do things we approve of. Even though The Theory of Moral Sentiments is almost three centuries old, it teaches us much about why nonprofits can be successful in the modern world.
The foundation for a general system of morals, this 1749 work is a landmark in the history of moral and political thought. Readers familiar with Adam Smith from The Wealth of Nations will find this earlier book a revelation. Although the author is often misrepresented as a calculating rationalist who advises the pursuit of self-interest in the marketplace, regardless of the human cost, he was also interested in the human capacity for benevolence — as The Theory of Moral Sentiments amply demonstrates. The greatest prudence, Smith suggests, may lie in following economic self-interest in order to secure the basic necessities.…
Born and raised in Baltimore, Maryland in the 1970s and 1980s, I learned about the impact of globalization and supply chain from an early age. I saw my community lose its economic base, many who could leave did, and what was left turned into an epicenter of despair. Eventually, I worked in the field of manufacturing and supply chain and understood the root causes of the problems in a lack of balance between supply and demand within local communities. The past blue-collar workers from urban and rural communities have been experiencing these challenges now for decades, and now it’s time to reinvent our supply chains to help our nation.
Rajan’s book is an underappreciated perspective on what’s happening in markets today. Rajan is best known as the economist in 2005 who warned the financial community of the impending 2007 financial crash and was criticized for being misguided. In his 2019 book, he notes the problems of the first two pillars (Big Business and Government) in these financial crises and the importance of the third pillar (the Community) is solving the problem. Rajan and I agree on this notion, as the “Community-Based Supply Chain” is the foundation for my solutions needed in today’s communities and US economy.
SHORTLISTED FOR THE FINANCIAL TIMES AND MCKINSEY BUSINESS BOOK OF THE YEAR AWARD 2019
From one of the most important economic thinkers of our time, a brilliant and far-seeing analysis of the current populist backlash against globalization and how revitalising community can save liberal market democracy.
Raghuram Rajan, author of the 2010 FT & Goldman-Sachs Book of the Year Fault Lines, has an unparalleled vantage point onto the social and economic consequences of globalization and their ultimate effect on politics and society.
In The Third Pillar he offers up a magnificent big-picture framework for understanding how three key forces -…
I'm a programmer and technical author at Octopus Deploy and I'm deeply interested in DevOps. Since the 1950s, people have been studying software delivery in search of better ways of working. We’ve seen many revolutions since Lincoln Labs first introduced us to phased delivery, with lightweight methods transforming how we wrote software at the turn of the century. My interest in DevOps goes beyond my enthusiasm for methods in general, because we now have a great body of research that adds to our empirical observations on the ways we work.
Well, Doug McGregor was one of the earliest proponents of healthy workplace culture. The Human Side of Enterprise was written during the 1950s and contains the kind of advice you might associate with Dan Pink’s more recent book, Drive.
If you want to read a book from the pivot point between command and control management and modern theories of motivation, this is the place to start.
"What are your assumptions (implicit as well as explicit) about the most effective way to manage people?"
So began Douglas McGregor in this 1960 management classic. It was a seemingly simple question he asked, yet it led to a fundamental revolution in management. Today, with the rise of the global economy, the information revolution, and the growth of knowledge-driven work, McGregor's simple but provocative question continues to resonate-perhaps more powerfully than ever before.
Heralded as one of the most important pieces of management literature ever written, a touchstone for scholars and a handbook for practitioners, The Human Side of Enterprise…
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