SKU: 6793990273

QBQ! the Question Behind the Question: Practicing Personal Accountability at Work and in Life

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QBQ! the Question Behind the Question: Practicing Personal Accountability at Work and in LifeThe lack of personal accountability is a problem that has resulted in an epidemic of blame, victim thinking, complaining, and procrastination. No organization or individual can successfully compete in the marketplace, achieve goals and objectives, provide outstanding service, engage in exceptional teamwork, or develop people without personal accountability. John G. Miller believes that the troubles that plague organizations cannot be solved by

The lack of personal accountability is a problem that has resulted in an epidemic of blame, victim thinking, complaining, and procrastination. No organization--or individual--can successfully compete in the marketplace, achieve goals and objectives, provide outstanding service, engage in exceptional teamwork, or develop people without personal accountability.

John G. Miller believes that the troubles that plague organizations cannot be solved by pointing fingers and blaming others. Rather, the real solutions are found when each of us recognizes the power of personal accountability. In QBQ The Question Behind the Question(R), Miller explains how negative, ill-focused questions like "Why do we have to go through all this change?" and "Who dropped the ball?" represent a lack of personal accountability. Conversely, when we ask better questions--QBQs--such as "What can I do to contribute?" or "How can I help solve the problem?" our lives and our organizations are transformed.


THE QBQ PROMISE

This remarkable and timely book provides a practical method for putting personal accountability into daily actions, with astonishing results: problems are solved, internal barriers come down, service improves, teams thrive, and people adapt to change more quickly. QBQ is an invaluable resource for anyone seeking to learn, grow, and change. Using this tool, each of us can add tremendous worth to our organizations and to our lives by eliminating blame, victim-thinking, and procrastination.


QBQ was written more than a decade ago and has helped countless readers practice personal accountability at work and at home. This version features a new foreword, revisions and new material throughout, and a section of FAQs that the author has received over the years.



Binding Type: Hardcover
Publisher: Tarcherperigee
Published: 09/09/2004
ISBN: 9780399152337
Pages: 115
Weight: 0.62lbs
Size: 8.30h x 5.80w x 0.70d

Review Citations: Publishers Weekly 08/23/2004 pg. 49
Library Journal 09/15/2004 pg. 73
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SKU: 6793990273

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Carnegie, US
★★★★★ 2
Just linear
Format: Paperback
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A necessary book for those who in work in the AI Security field. It is easy to read and easy to follow along with practice labs. The author did a good job incorporating the breadth of AI threats.
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Reviewed in the United States on January 10, 2026
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TheTechGuyz
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★★★★★ 5
A good book for Cyber Professionals
Format: Paperback
A very good book, I absolutely love how it gives security professionals much needed AI security insights.
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Reviewed in the United States on January 16, 2026
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Steve Wilson
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In-depth and highly technical!
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"Adversarial AI Attacks, Mitigations, and Defense Strategies" by John Sotiropoulos is a must-have resource for cybersecurity professionals navigating the complexities of AI security. This book is an incredibly in-depth guide that tackles the intricate details of defending AI systems from adversarial attacks. It’s highly technical, making it an excellent choice for those with a solid background in cybersecurity, machine learning, and system administration. Sotiropoulos doesn’t shy away from the details, providing comprehensive code examples, system admin settings, and scripts that are invaluable for practical implementation. One of the standout aspects of this book is its coverage of both predictive and generative AI. This dual focus ensures that readers are well-equipped to handle security challenges across different AI applications. Whether you're dealing with machine learning models in a predictive context or exploring the relatively newer field of generative AI, this book has you covered. If you’re looking for a technical, hands-on approach to securing AI systems, this book is an essential addition to your library.
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Niti Sharma
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Good and thorough!
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I was amazed to see a thick book arriving in the package and spent quite some time reading this. The book is so hands-on. I build agentic systems at work and going through these concepts felt good. My only complaint is that the code snippets are not up to date for which I had to edit my code several times.
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