AI Business Strategy: A Managerial Guide to Success

Author:   Thomas Hutzschenreuter ,  Tim Lämmermann
Publisher:   Taylor & Francis Ltd
ISBN:  

9781041141624


Pages:   186
Publication Date:   18 November 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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AI Business Strategy: A Managerial Guide to Success


Overview

This book equips you with essential knowledge to strategically adopt and leverage today’s machine learning-based AI systems. Drawing on several years of research with globally leading corporations, it provides an innovative guide to developing your own AI business strategy. It is packed with diverse strategy examples and hands-on worksheets to help you turn newly gained insights into immediate, practical action.

Full Product Details

Author:   Thomas Hutzschenreuter ,  Tim Lämmermann
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.370kg
ISBN:  

9781041141624


ISBN 10:   1041141629
Pages:   186
Publication Date:   18 November 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Reviews

“If you’re sure you need to incorporate AI into your company’s strategy but don’t quite know how to proceed, this book is for you. The authors integrate rigorous strategy frameworks with up-to-date technological insights to deliver a supremely valuable guide for today’s business leaders. The many practical examples and handy worksheets add to the welcome usefulness of the book.” Donald C. Hambrick, PhD, Evan Pugh University Professor and Professor of Management at the Pennsylvania State University “In a crowded field of AI strategy books, this one rises above the noise thanks to the deep academic rigor and real-world consulting experience of the authors. Drawing on firsthand work with leading firms across industries, Hutzschenreuter and Lämmermann offer a practical, research-based framework that business leaders can trust and act on.” Dr. Mary C. Lacity, David D. Glass Chair and Distinguished Professor of Information Systems at the University of Arkansas “The book ‘AI Business Strategy’ is a must-read for executives navigating AI-driven markets. It clearly explains how to practically embed AI into your business strategy, from idea generation to implementation. Importantly, it also shows how AI tools can support better decision-making, offering real-world examples and easy-to-follow frameworks. Concise, clear, and impactful!” Dr. Florian Gröne, Partner & Global Telecommunications Sector Leader with PwC’s Strategy& in New York “AI Business Strategy offers a rigorously researched yet eminently practical framework for integrating machine learning into every facet of corporate strategy, filling a crucial gap in the existing literature on AI adoption and value creation. The highlights of this book are the AI Business Strategy Frame with its step-by-step guidance and the hands-on worksheets. Together, they translate economic theory into concrete managerial actions that will drive productivity and competitive advantage. This book is an indispensable companion for executives, consultants, and scholars aiming to navigate the fast-evolving AI ecosystem with clarity, discipline, and confidence.” Ajay Agrawal, PhD, Professor at the University of Toronto and Founder of the Creative Destruction Lab “AI is reshaping business - this book shows how to respond with purpose and clarity. A must-have guide for leaders and practitioners navigating AI-driven change, rich in examples and grounded in rigorous research. Thomas Hutzschenreuter and Tim Lämmermann do a splendid job demystifying AI’s strategic impact.” Dr. Sebastian Raisch, Professor of Strategy at the University of Geneva “The book ‘AI Business Strategy’ offers a rare and welcome blend of conceptual rigor and practical relevance. By systematically integrating the distinctive technical capabilities of emerging AI (particularly its self-learning nature) with the fundamentals of business strategy, the authors present an actionable framework that stands out as a valuable contribution. This is a timely and insightful guide for practitioners, educators, students, and strategists alike.” Mohammad Hossein Jarrahi, PhD, Professor at the University of North Carolina


“If you’re sure you need to incorporate AI into your company’s strategy but don’t quite know how to proceed, this book is for you. The authors integrate rigorous strategy frameworks with up-to-date technological insights to deliver a supremely valuable guide for today’s business leaders. The many practical examples and handy worksheets add to the welcome usefulness of the book.” Donald C. Hambrick, PhD, Evan Pugh University Professor and Professor of Management at The Pennsylvania State University “In a crowded field of AI strategy books, this one rises above the noise thanks to the deep academic rigor and real-world consulting experience of the authors. Drawing on firsthand work with leading firms across industries, Hutzschenreuter and Lämmermann offer a practical, research-based framework that business leaders can trust and act on.” Dr. Mary C. Lacity, David D. Glass Chair and Distinguished Professor of Information Systems at the University of Arkansas “The book AI Business Strategy is a must-read for executives navigating AI-driven markets. It clearly explains how to practically embed AI into your business strategy, from idea generation to implementation. Importantly, it also shows how AI tools can support better decision-making, offering real-world examples and easy-to-follow frameworks. Concise, clear, and impactful!” Dr. Florian Gröne, Partner & Global Telecommunications Sector Leader with PwC’s Strategy& in New York “AI Business Strategy offers a rigorously researched yet eminently practical framework for integrating machine learning into every facet of corporate strategy, filling a crucial gap in the existing literature on AI adoption and value creation. The highlights of this book are the AI Business Strategy Frame with its step-by-step guidance and the hands-on worksheets. Together, they translate economic theory into concrete managerial actions that will drive productivity and competitive advantage. This book is an indispensable companion for executives, consultants, and scholars aiming to navigate the fast-evolving AI ecosystem with clarity, discipline, and confidence.” Ajay Agrawal, PhD, Professor at the University of Toronto and Founder of the Creative Destruction Lab “AI is reshaping business - this book shows how to respond with purpose and clarity. A must-have guide for leaders and practitioners navigating AI-driven change, rich in examples and grounded in rigorous research. Thomas Hutzschenreuter and Tim Lämmermann do a splendid job demystifying AI’s strategic impact.” Dr. Sebastian Raisch, Professor of Strategy at the University of Geneva “The book AI Business Strategy offers a rare and welcome blend of conceptual rigor and practical relevance. By systematically integrating the distinctive technical capabilities of emerging AI (particularly its self-learning nature) with the fundamentals of business strategy, the authors present an actionable framework that stands out as a valuable contribution. This is a timely and insightful guide for practitioners, educators, students, and strategists alike.” Mohammad Hossein Jarrahi, PhD, Professor at The University of North Carolina


Author Information

Thomas Hutzschenreuter is a chaired professor of strategic and international management at the Technical University of Munich, Germany. He has consulted for many leading companies across industries with a particular emphasis on AI technologies, digitization, transformation, growth, and internationalization. Tim Lämmermann is a doctoral candidate at the chair of strategic and international management at Technical University of Munich, Germany. His expertise predominantly lies at the intersection of strategic management and artificial intelligence.

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