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Catalogue complet

Role of Explainable Artificial
Intelligence in E-Commerce

Role of Explainable Artificial Intelligence in E-Commerce

Von den Orakeln der Antike bis zur KI | Die brillante Analyse einer preisgekrönten Oxford-Professorin | Eine starke Stimme für eine Ethik der Künstlichen Intelligenz

Die Macht der Prophezeiung

Forecasting and Preventing Economic and Social Crises

Understanding the Consequences of the AI Economy

This book examines how strategic thinking is evolving in response to the realities of the digital economy. Traditional strategy frameworks, built for slower, more stable environments, no longer capture the complexity of today’s business landscape, where innovation is constant, data is abundant, and competition is shaped by digital platforms and ecosystems.
Focusing on the global digital banking sector—one of the most digitally advanced industries—the book draws on original research, including interviews with 39 senior strategy leaders. It explores how organisations are navigating strategy in practice, highlighting shifts in decision-making, organisational logic, and the role of technology in shaping strategic options.
Rather than proposing that classical strategy be discarded, the book argues for its adaptation. It offers a grounded, research-based view of how organisations are integrating agility, experimentation, and digital infrastructure into their strategic processes. The goal is not to replace strategic theory, but to update it—reflecting the conditions of a digital-first economy.
This book bridges multiple disciplines, including strategic management, organisational theory, information systems, and innovation. While its case focus is on digital banking, the insights are relevant across sectors facing digital transformation.
Designed for scholars, practitioners, and educators, this book provides both empirical depth and conceptual clarity. It contributes to the growing conversation about what strategy means in an environment defined by speed, fluidity, and ongoing technological change.

This book examines how strategic thinking is evolving in response to the realities of the digital economy. Traditional strategy frameworks, built for slower, more stable environments, no longer capture the complexity of today’s business landscape, where innovation is constant, data is abundant, and competition is shaped by digital platforms and ecosystems.Focusing on the global digital banking sector—one of the most digitally advanced industries—the book draws on original research, including interviews with 39 senior strategy leaders. It explores how organisations are navigating strategy in practice, highlighting shifts in decision-making, organisational logic, and the role of technology in shaping strategic options.Rather than proposing that classical strategy be discarded, the book argues for its adaptation. It offers a grounded, research-based view of how organisations are integrating agility, experimentation, and digital infrastructure into their strategic processes. The goal is not to replace strategic theory, but to update it—reflecting the conditions of a digital-first economy.This book bridges multiple disciplines, including strategic management, organisational theory, information systems, and innovation. While its case focus is on digital banking, the insights are relevant across sectors facing digital transformation.Designed for scholars, practitioners, and educators, this book provides both empirical depth and conceptual clarity. It contributes to the growing conversation about what strategy means in an environment defined by speed, fluidity, and ongoing technological change.

Strategy and Processes in Digital Banking

Digital Economy Dynamics

A town spoke. Something larger answered.

In September 2025, a township board in rural Michigan voted to reject a data center. Two days later, the developer sued. Within three weeks, the project was approved anyway.

THIS IS SERVER COUNTRY tells-through vivid narrative and clear-eyed analysis-the story of America's largest private infrastructure buildout. A trillion dollars. Six hundred projects. A power grid racing to keep up.

This book follows the people caught in the buildout, explains how the machines actually work, and asks why farmland instead of shuttered factories. It traces the current backward from silicon in Taiwan to sandy loam in Saline-and reveals who builds, who benefits, and who pays, where local zoning meets great-power politics.

The book covers: How AI inference works and why it demands unprecedented compute power. 
Why data centers choose farmland, not cities. 
The trillion-dollar capital wave reshaping American infrastructure. 
State incentive wars and community resistance. 
The nuclear renaissance and natural gas reality.
Export controls and the geopolitics of AI.



The railroads opened the West. The interstates created the suburbs. The AI boom follows the same pattern, at faster speed-but to what end, we know not yet.

AI, Power, and the Remaking of Rural America

This Is Server Country

Seventy percent of digital transformations fail. Not because of bad technology, but because of bad leadership.


In this fast-paced business parable, you'll step inside the boardrooms, break rooms, and battle lines of Meridian Integrated Logistics, a company the brink of collapse. With activist investors circling and a failed AI rollout bleeding millions, Meridian must confront a brutal truth: outdated management practices can topple even industry giants. 


Told through vivid characters and high-stakes decisions, Reinventing Management reveals how one organization redefined leadership-and in the process, discovered the missing variable for success in the age of AI.


You'll learn how to:
Spot the leadership failures that sabotage technology investments.
Measure trust, empathy, humility, integrity, and purpose through the Leadership Adaptability Index (LAI).
Build a culture that accelerates innovation and safeguards investor value.
Redefine governance with metrics that boards and institutional investors can no longer afford to ignore.

A Story of Leadership Accountability in the Age of Artificial Intelligence

Reinventing Management

How optimizing your supply chain can save you millions

The Leaky Pipe

AI for Economists

AI and Cyber Governance: The Executive Playbook for Safe and Responsible AI is a book researched and written by cyber experts Ariel Evans and Ajay Singh with contributions from leading from Cyber Intelligence4U including top CISOs, CIOs, CTOs, DPOs, and cyber attorneys to help businesses prepare for the safe and intelligent use of AI.The book is a comprehensive playbook that bridges the gap between the complex world of artificial intelligence and its practical applications for business. Covering regulation requirements, governance, cyber controls, explainability, and privacy in easy-to-understand language, it is an essential resource to navigate and address the opportunities, complex challenges, and responsibilities associated with AI technologies and provides a roadmap for businesses to implement a safe AI program. Each area is explored from a business perspective to allow the reader to understand how this relates to their role in a company and to harness the power of AI in their respective fields and concludes with a section on how to create a step-by-step AI program. In addition, real-life examples of the challenges that any business needs to address as it rolls out AI-based applications are presented throughout.This book will empower readers, whether they are IT professionals, tech enthusiasts, business leaders, or students, with the necessary knowledge and insights to create a safe and responsible AI program.

The Executive Playbook for Safe and Responsible AI

AI and Cyber Governance

An eye-opening account of how the data-center boom is pushing our planet past its breaking point Underlying our seamless access to AI, cryptocurrency, and unlimited cloud storage is a hulking, costly physical infrastructure. Massive data centers full of energy-hungry chips and processors power everything we do online. Scrambling to meet dubious market demand, the tech giants have made our planet a bargaining chip in the next great race for a market monopoly. In Hyperscale, journalist Paris Marx uncovers the excesses of hyperscale data processing. He exposes the deceptive, exploitative ways tech companies are syphoning energy and resources from vulnerable communities in their pursuit of digital power, abandoning the pretense of social responsibility. Amid energy shortages and tech-induced battles over drinking water, Marx makes a powerful case for technology that promotes the social good over the bottom lines of tech billionaires. He joins the incredible efforts of people and social movements pushing back against the profit-driven interests of Big Tech, illuminating a path toward the sustainable future we all deserve. The AI boom and its infrastructural demands have accelerated our many modern catastrophes. With razor-sharp reporting and incisive analysis, Marx shows us that the greatest threat is not the specter of AI overlords but a global environmental disaster already in the making.

The Ambition and Excess of Big Tech's Data Empires

Hyperscale

edition suhrkamp

Was kommt danach?

Liberale Demokratie ohne Zukunft

"This is a thoughtful, clear, inspiring roadmap for organizations navigating AI's promise and pitfalls. A valuable resource for mission oriented practitioners." - Paige Fullman, Host of "Current Affairs Unfiltered"
Are you caught in an AI tug-of-war?
Nonprofits, government agencies, and social impact companies are feeling tension over Artificial Intelligence. On one side, enthusiasts pull toward rapid adoption, eager to harness productivity gains to do more good. On the other, skeptics and conscientious objectors pull back, fearing that the technology will undermine values central to their mission.
When they see this tug of war in their teams, many leaders drop the rope, resulting either in a total ban that no one follows or a policy-free free-for-all that leaves the organization vulnerable to reputational, legal, and ethical risks.
In Amplify Good Work, Dr. Karen Boyd offers a judgment-free, practical guide to ending the tug-of-war. Drawing on over a decade of experience in mission-driven sectors and AI ethics research, Dr. Boyd provides a framework to move beyond "yes or no" and toward confident, values-aligned judgment.
Inside this book, you'll discover:A Mission-First Strategy: Why values-centered AI policy and practices are critical to your work how to build one that protects your mission and community trust.
The Values Framework: Deep dives into how AI impacts your mission-critical values, including privacy, sustainability, equity, social connection, and much more, and how to mitigate those risks.
Human vs. AI Strengths: What can AI do, and what are we better at? You'll learn how to identify and defend human-only tasks and how to use AI as a scaffold while keeping human control of quality.
Practical Implementation: A step-by-step playbook for assessing readiness, prioritizing use cases, and managing the human change that AI brings to a team.


Unlike generic AI guides or sales pitches from tech companies, Amplify Good Work speaks directly to the challenges facing mission-driven organizations. When your work depends on community trust and you serve people with limited recourse if things go wrong, the stakes of AI implementation are genuinely high. If AI gets it wrong, your community member doesn't get the wrong pair of socks, they could be losing out on housing, food, or job placement assistance.
Whether you are an enthusiast looking for new ideas, a skeptic looking for support, or a leader who needs to manage a team with both, this book gives you the tools to amplify your effort without compromising your values.
Stop pulling against each other and start moving forward together. Learn how to use AI to amplify the good work you were born to do

Effective, Ethical AI for Mission-driven Work

Ampilfy Good Work

Master's Thesis from the year 2025 in the subject Leadership and Human Resources - Recruiting, grade: 1,2, University of Applied Sciences Dortmund, language: English, abstract: This master's thesis explores the role of artificial intelligence (AI) in modern recruitment processes with a particular focus on applicants' trust. As digitalization and AI increasingly transform the world of work, organizations are adopting AI-supported recruiting tools to enhance efficiency, standardization, and data-driven decision-making. At the same time, the use of AI in personnel selection raises important questions regarding transparency, fairness, and acceptance from the applicants' perspective.

The objective of this thesis is to examine how applicants perceive AI-assisted recruitment processes and which aspects are relevant for the development of trust in this context. To address this research objective, a qualitative research design was chosen. Semi-structured interviews were conducted with participants who had either experienced AI-supported recruitment processes or reflected on their expectations toward such processes.

The empirical data were analyzed using qualitative content analysis following Kuckartz' approach. This method allows for a systematic examination of subjective perceptions, attitudes, and evaluations, while combining theory-driven and data-driven coding. The analysis focuses on applicants' experiences with different forms of AI usage in recruitment, their expectations toward human and technological decision-making, and their assessment of AI-supported processes within the broader candidate journey.

By linking theoretical concepts of trust in technology with empirical insights from applicants, this thesis contributes to the growing body of literature on AI in recruiting. In addition, it provides a structured foundation for further academic research and offers valuable insights for organizations seeking to better understand applicant perspectives on AI-supported recruitment processes.

Artificial intelligence in the recruitment process. How can companies gain applicants' trust?

Role of Explainable Artificial Intelligence in E-Commerce

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