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Orrego Miranda J: AIME

AIME

Cómo diseñar empresas que escalan con IA

Passionately Transforming Management

"What an interesting agenda for this meeting." "Sustainability is a priority for our company." "We care deeply about our customers." Let's face it: We all lie. Sometimes to save face, to get out of a scrape or to protect someone's feelings, and sometimes for more malicious reasons. Generally, however, we only expect people to lie under certain circumstances, and we expect our professional environments to be beacons of truthful and honest behaviour. Deceit, untruth and disinformation have become part and parcel of the everyday political agenda. World leaders and business magnates unabashedly lie and peddle misinformation, from climate change denialism to anti-vaccine propaganda. In Passionately Transforming Management: Lies, Professor Johan Alvehus recognizes that such things are not only going on at the grand political stage - instead arguing that the utility of lies, deception and manipulation can provide key lessons for anyone interested in leadership. The author delves into differing philosophical perspectives on the morality of lying, before examining the various ways in which falsehoods find their way into our modern workplaces. Ultimately, we must begin re-assessing our professional hierarchies with a new clarity by rejecting the notion of a leader as a morally superior concept automatically deserving of adulation. We need to recognize that lies and manipulation are fundamental elements of accomplishing things in organizations. Even before working life starts, its truthfulness is dubious - who doesn't polish their CV to give a better impression? Bypassing formal structures, ensuring certain people are left out of decision processes, spreading non-factual 'visions' and lying to keep one's position safe are all essential for the accomplished manager. Passionately Transforming Management: Lies provides students, scholars and managers with a concise and provocative guide to identifying, utilising and manipulating bullshit culture.

Passionately Transforming Management: Lies

INNOVATION ENGINEERING OF TECHNICAL SYSTEMS: THEORY, METHODS AND PRACTICE - A COMPREHENSIVE FRAMEWORK FOR UNDERSTANDING AND PRACTICING INNOVATION ENGINEERING FROM THE TEST TUBE TO THE CUSTOMER'S HAND

When an AI initiative dies, the machine takes the blame. It's almost always the wrong suspect. Every executive who has quietly shelved an AI project has the same explanation ready: the model underperformed, the vendor oversold, the technology "wasn't there yet." In Prevail: What Leaders Must Do Now That Machines Can't Manage, Dr. Tim Bottke argues that this story is a convenient way to avoid the real culprit - a chain of management decisions made long before anyone trained a model. The bug isn't in the technology. It's in us. Bottke turns two decades of decision data into a working diagnostic. PREVAIL starts at the ground floor, where leaders reach for the tool before they've named the problem, and moves up through data, experimentation, ownership, measurement, funding, and governance. The uncomfortable finding is that the damage concentrates on the ground floor and compounds as management builds on those decisions.&nbsp; Readers will discover: <ul> <li>Why AI initiatives fail and how to course correct before the budget is committed</li> <li>Chapter checklists that allow for a working audit</li> <li>Action lists for the operator fixing a rollout, the executive shaping a portfolio, and the board member or investor stress-testing a proposal</li> <li>The one question that predicts success better than anything: what problem does this solve?</li> <li>Composite case studies based on public filings that show each failure pattern in the wild, and the fix that would have caught it</li> <li>A shared vocabulary for boards, investors, and operators to pressure-test any AI proposal</li> <li>What the market actually does when companies admit an AI failure&nbsp;</li> </ul> &nbsp; Prevail is written for those who need something firmer than hype to judge what's in front of them.&nbsp;

What Leaders Must Do Now Because Machines Can't Manage

Prevail

Algorithmic Management: Artificial Intelligence and the Transformation of Organizations is the first comprehensive textbook designed to prepare management students to engage critically and responsibly with artificial intelligence in organizations. Bringing together classical management theory, contemporary AI applications, and systematic power analysis, the book equips future managers to both harness AI's potential and confront its risks.Structured in three parts, the book begins with foundational frameworks-socio-technical systems theory, technology and society perspectives, and core management theories reinterpreted for the AI era. It then examines applications across all major management functions-Marketing, HR, Finance, Operations, Supply Chain, and Strategy-using over 30 real-world case studies drawn from different industries, parts of the world, and types of organizations from multinational corporations to nonprofits and social ventures. The final section addresses organizational design, leadership, governance, and the future of algorithmic organizations. Throughout, pedagogical features-learning objectives, vignettes, discussion questions, toolkits, and ethical dilemmas-make the book classroom-ready and adaptable across MBA, undergraduate, and executive education settings. The text advances an approach of pragmatic criticality: AI is neither celebrated uncritically nor rejected outright but treated as a socio-technical phenomenon requiring managerial judgment, ethical reflection, and contextual awareness.By bridging management theory, functional practice, and critical perspectives, this book fills a critical market gap and is positioned to become the definitive teaching resource on AI and management for business education worldwide.

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

Sport Management Series

Now available in a fully revised and updated seventh edition, Sport Management: Principles and Applications tells you everything you need to know about the contemporary sport industry. Covering both the professional and nonprofit sectors, and with more international material than any other introductory sport management textbook, it focuses on core management principles and their application in a sporting context, highlighting the unique challenges of a career in sport management. The book covers all the key functional areas of sport management, including strategic planning, human resources, leadership and governance, marketing and sponsorship, the media, sport policy, sport law, and digital business. This seventh edition includes expanded coverage of key contemporary issues, including the impact of AI as well as ethics and DEI, and features a new chapter focused on sport development. Containing useful features throughout, including conceptual overviews, guides to further reading, links to important websites, study questions, and up-to-date case studies showing how theory works in the real world, this is an ideal textbook for first- and second-year students in sport management degree programs and for business students seeking an overview of applied sport management principles. Ancillary material includes summary slides, case diagnostics and teaching notes for lecturers, plus a test bank.

Principles and Applications

Sport Management

Understanding the International Environment & Global Business Functions

Introduction to Global Business

How Small but Mighty Teams Overcome the Odds

David vs. Goliath

The Shingo Model Series

Designing Systems That Shape Workplace Culture and Performance

Build Excellence

Data Power, Digital Empires and the Future of Capitalism

The Rise of Datalism

The leaders who thrive over the next decade will not be the ones who compete with AI on its own terms. They will be the ones who invest deeply in the qualities that make them irreplaceable. This is The Human Brand.We are at an inflection point in the history of leadership. The qualities that used to be the bedrock of great leaders--analytical skills, deliverable speed, clear communication--can now be easily matched or outperformed by AI. So if these don't make a leader great, what does?The Human Brand argues it's the fundamentally human qualities of leadership that will make them thrive--the ability to exercise genuine judgment, build real trust, or be authentically present with another human being. Those qualities are not footnotes to leadership. They are what leadership is. That is your human brand and this book provides a clear, grounded, and practical path to building one.<ul><li>In Part 1, you'll tackle the anxiety surrounding AI head-on to better understand your value in the company when AI can do what you used to do. You'll learn what tasks can easily be tackled by AI without value loss and which you should focus on.</li><li>In Part 2, you'll learn the how to develop the four core qualities of the human brand--judgment, empathy, courage, and presence--and what makes them so important.</li><li>In Part 3, you'll translate those qualities into action, learning how to hone the art of storytelling and use your brand to build a company culture that can stand the test of time.</li><li>Finally, in Part 4, you'll learn a framework for self-development and how to leave a legacy built on your humanity.</li></ul>The Human Brand is a book for leaders who want to navigate the AI era not with anxiety, but with clarity, purpose, and a deep confidence in what makes them irreplaceable.

How Leaders Stay Relevant and Competitive in the Age of AI

The Human Brand

Artificial intelligence has crossed the liability Rubicon. It is no longer a backend IT experiment governed by soft ethics, voluntary frameworks, and vague policy statements; it is a material financial asset driving enterprise revenue and unprecedented legal exposure. As we transition into Industry 5.0, algorithms are making autonomous, consequential decisions at machine speed. Yet, corporate boards and risk committees are attempting to govern these gigahertz systems using static compliance checklists designed for a slower, simpler era. The result is a looming crisis of algorithmic discrimination, regulatory friction, and catastrophic reputational decay. When an opaque, black-box model hallucinates financial advice or leaks proprietary trade secrets, the ensuing failure cascade can destroy billions in market capitalization overnight.AI Governance and Risk Management provides the definitive, boardroom-ready blueprint for surviving the fragmented global regulatory dragnet. This book dismantles the illusion of traditional "Human-in-the-Loop" oversight, proving that true algorithmic safety requires hard, architectural constraints. Drawing on decades of technology operations and academic leadership, the text translates classical financial auditing principles into executable machine logic. The author brings unparalleled practical experience-from supporting six Silicon Valley startups in client-facing roles to develop computer vision use cases, to leading over 30 continuous improvement projects for Cisco Systems. Having authored foundational texts on Segregation of Duties (SOD) and Hierarchical SOD two decades ago, and backed by 15 years of teaching financial risk management, this expertise culminates in the AI Integrity Framework (AIIF). This Hamiltonian approach empowers organizations to embed continuous improvement cycles and strict SOD directly into their deployment pipelines.Readers will discover how to engineer automated "Build Breaks," architect deterministic kill switches, and secure the unstructured data supply chain against copyright contamination and intellectual property theft. By shifting from reactive public relations to proactive "Governance as Code," Chief Risk Officers, legal counsel, and audit committees can mathematically prove fiduciary control to regulators across overlapping jurisdictions, from California to the European Union.Authored by a veteran industry practitioner, creator of five previous Wiley &amp; Sons texts, and current developer of the Industry 5.0 and AI curriculum at Santa Clara University, this release is not a theoretical ethics manual. It is an uncompromising operational survival guide. It provides the exact structural tools necessary to transform artificial intelligence from an unquantified off-balance-sheet liability into a fully auditable, legally defensible, and highly profitable enterprise asset.

The AI Integrity Framework (AIIF) for Enterprise Control and Regulatory Compliance

Auditable AI Governance and Risk Management

Das SAP Business Information Warehouse (BW) als Data Warehouse-Lösung hat eine zeitnahe Versorgung betrieblicher Entscheidungsträger mit relevanten Informationen zu Analysezwecken im Fokus. Basis hierfür sind die mehrdimensionalen Info-Cubes, deren Modellierung maßgeblich die Leistungsfähigkeit und erfolgreiche Nutzung eines BW-Systems beeinflusst. Dieses Buch verfolgt das Ziel, den gesamten Prozess der Gestaltung von Informationssystemen auf Basis des Business Information Warehouse darzustellen, adäquate Methoden zu präsentieren und Gestaltungsempfehlungen zu geben. Neben Aspekten der mehrdimensionalen Modellierung erfolgt auch eine Betrachtung von Aspekten des Enterprise Data Warehouse mit BW 7. Das Buch wendet sich an SAP-Berater und IT-Mitarbeiter, die mit der Implementierung eines BW-Systems betraut sind. Es ist als praktischer Leitfaden konzipiert und bietet neben dem Einstieg in das Thema auch ein fundiertes Nachschlagewerk für die tägliche Arbeit.

Mehrdimensionale Datenmodellierung und Enterprise Data Warehousing

SAP Business Information Warehouse

AIME

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