Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Helena Hlasova: Start-up suisse

Start-up suisse

Des entreprises qui ont de l'idée

The 15th issue of the "Austrian Management Review" brings together academic insights and practical experience against the backdrop of ecological and social transformations, as well as a wide range of challenges such as skills shortages and digital transformation. Key focus areas of this issue include employer branding, the co-evolution of humans and artificial intelligence, activity-based greenhouse gas management systems, leadership, trust and psychological security and what significance it has in the workplace, and remote work.

Die 15. Ausgabe der Austrian Management Review führt vor dem Hintergrund ökologischer und sozialer Umbrüche sowie einer Vielfalt von Herausforderungen wie Fachkräftemangel und digitaler Transformation wissenschaftliche Erkenntnisse und praktische Erfahrungen zusammen. Employer Branding, Co-Evolution von Mensch und Künstlicher Intelligenz, aktivitätsbasiertes Treibhausgas-Managementsystem sowie Remote Work sind Schwerpunkte dieser Ausgabe.

Austrian Management Review Volume 15 | 2025

Das erste Lexikon im Fintech-Bereich stellt mit über 800 Stichworten einschlägiges Know-how zur „Financial Technology“ bereit und hilft damit bei der Klärung aktueller Begrifflichkeiten. Dem interdisziplinären Charakter der Fintech-Entwicklung zufolge sind die Begriffe an der Schnittstelle von (Wirtschafts-)Informatik, Finanzwissenschaft und Innovationsmanagement verortet. Die Fintech-Terminologie richtet sich dabei mit ihren konzise beschriebenen und mit anschaulichen Grafiken ergänzten Inhalten gleichermaßen an Studierende sowie Interessierte aus Wissenschaft und Praxis.
 
 Die AutorenProf. Dr. Rainer Alt ist Professor für Wirtschaftsinformatik an der Universität Leipzig und Autor zahlreicher Publikationen im Fintech-Bereich.&nbsp;Dr. Stefan Huch ist Senior Director bei Capgemini Invent und vertritt die Professur Digitalisierung von Unternehmensprozessen an der Hochschule Merseburg.
 
 Würdigungen„Aus meiner Sicht als Führungskraft einer global agierenden Bank ist das Fintech-Lexikon ein sehr gelungenes Nachschlagewerk, das alle relevanten Begrifflichkeiten in einer sehr verständlichen Art strukturiert darstellt und erläutert- eine gute Stütze, um in der Praxis die relevanten Begrifflichkeiten der Fintech-Szene im Überblick zu haben." Achim Lebeau, COO, DB Privat- und Firmenkunden AG„Selbst gründen bedeutet in vielen Bereichen ins kalte Wasser geworfen zu werden. Man muss in kürzester Zeit zum Allround-Experten werden: im Sales, im Marketing, im Finance oder im Fundraising. Hier eine strukturierte Übersicht aller Begrifflichkeiten der Startup-Welt an der Hand zu haben, ist eine enorme Hilfe.“ Jenny Saft, Geschäftsführung und Co-Founderin, Oviavo GmbH„Dieses Fintech-Lexikon bietet einen hervorragenden Orientierungsrahmen, indem es alle relevanten Begrifflichkeiten im Kontext der digitalisierten Finanzwelt aufgreift. Diese sind konsequent strukturiert und inverständlichen Worten definiert. Ein wertvoller Beitrag für die Praxis.“ Thomas Zerndt, CEO, Business Engineering Institute St. Gallen AG

Dieses Buch hilft dem Leser im Umfeld der Digitalisierung bei der Begriffsklärung und stellt einschlägiges Know-how zur Verfügung.&nbsp;Was bedeutet 42? Was ist eine Subchain? Was ist der Unterschied zwischen Robotics und Artificial Intelligence? Der Schwerpunkt liegt dabei auf den Entwicklungen, die seit 2010 mit der Digitalisierung unter dem Namen "Financial Technology" eine zunehmende Verbreitung erlebt haben. Die Begrifflichkeiten umfassen grundlegende Begriffe, die Eingang in die allgemeine Sprache gefunden haben, wie etwa Artificial Intelligence oder Blockchain, aber auch fachspezifische Termini, die für das Verständnis der einzelnen Technologien notwendig sind (zum Beispiel 42, Nonce). Die Fintech-Terminologie bietet dem Leser einen konzisen und gleichzeitig anschaulich dargestellten alphabetisch geordneten Überblick mit den darin enthaltenen praxisorientierten Antworten.

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon

Sustainable business is no longer optional--it's the strategy that will determine who leads and who gets left behind.Climate change is not just a future threat--it's a current reality, reshaping markets, supply chains, and entire industries. Rising temperatures, resource scarcity, and mounting waste are driving regulatory pressure, investor scrutiny, and consumer demand for sustainable practices. For business leaders, this isn't just an operational challenge--it's a strategic disruption. Companies that fail to adapt risk being swept aside by forces they can no longer ignore.In The Ultimate Disruption: Rethinking Business in a World Transformed by Climate Change, INSEAD professors Atalay Atasu and Luk Van Wassenhove provide an essential road map for thriving in this new era. Drawing on decades of research and real-world case studies, they show why sustainability must be treated as a core business imperative, not a compliance exercise or marketing slogan. The authors introduce a framework for rethinking strategy, redefining value propositions, and reinventing business models to integrate environmental value alongside customer utility and profit.Through compelling examples--from Polygreen's zero-waste transformation on a Greek island to Schneider Electric's global decarbonization initiatives--the book illustrates how companies are turning environmental constraints into opportunities for innovation and growth. Each chapter tackles critical steps: building the business case for sustainability; revisiting value potential; overcoming operational and scaling challenges; and leveraging partnerships, tech, and new business models to deliver shared value and profitability.Sustainability is no longer a cost--it's a competitive advantage. The Ultimate Disruption equips leaders with the strategies and tools to navigate the climate-driven transformation of business ecosystems and emerge stronger than ever.

Rethinking Business in a World Transformed by Climate Change

The Ultimate Disruption

Routledge Masters in Public Management

This concise textbook provides a comprehensive framework for understanding and implementing effective public-private partnerships in an era of complex policy challenges and resource constraints. Drawing on research and empirical evidence, it examines how cross-sector collaboration has evolved from traditional contracting relationships to strategic partnerships that create substantial public value.This book offers a systematic typology of partnership models, analytical tools for partnership evaluation, and practical strategies for collaborative leadership. It integrates theoretical foundations with actionable insights on partnership formation, governance structures, and performance management across diverse policy domains including healthcare, cities, and climate initiatives. Each chapter includes suggested reading and discussion questions.Designed primarily for graduate and advanced undergraduate students in public administration, public policy, and business management programmes, this volume also serves as an essential resource for public managers and policy practitioners.

Managing Public-Private Partnerships

An Instant New York Times Bestseller From one of our leading chroniclers of the intersection of innovation and capitalism, a landmark reckoning—based on unprecedented access—with one of the world’s most brilliant and driven tech visionaries, and his game-changing company Even by the standard of a tech industry stacked with so-called geniuses, Demis Hassabis is a special case. Born poor in North London to immigrant parents, a chess prodigy by age five and wizard coder in his teens, he turned down a seven figure offer before turning 18 to feed his insatiable scientific curiosity at Cambridge. Later, he added a neuroscience PhD to his computer science skills to pursue the dream of artificial general intelligence, the ultimate goal being to unravel the mysteries of biology and theoretical physics and to usher in super-abundance. Alongside a small group of fellow travelers, that is the path he is still on, leading the AI research at Google, winning a Nobel Prize along the way, and imagining machines that will compound, or possibly supplant, the human understanding of the universe. Hassabis has given Sebastian Mallaby a great deal of his time, sitting for over thirty hours of conversation. But Mallaby has also drawn from Hassabis's detractors, such as his estranged cofounder Mustafa Suleyman; from his rivals, such as OpenAI's leading scientist Ilya Sutskever; and from academic pioneers who now fear for human survival, such as Nobel laureate Geoffrey Hinton. The result is a revelatory account of a singular figure and his company and a profound reckoning with this protean field as it leaps from the periphery to the center of our consciousness. No one questions Hassabis’s brilliance. There are those who, like Elon Musk, have at times regarded him as an "evil genius." He is in a game where the stakes are matched only by the exorbitant costs — for talent, and for compute. Celebrated scientists pursue the technology because they cannot resist the sweetness of discovery. Others pursue it for money or power. The inventors believe they control their technology, but often, the technology controls them. Despite Hassabis’s pivotal role inside Google’s engine room, this is not a Silicon Valley story. Hassabis deals with the Valley and takes its money, but remains outside and furiously critical of it, lambasting its leaders in conversation with Mallaby. The end of this race cannot be known, but as this great book shows us, Hassabis's quest to will a new form of cognition into the world is a defining story for our era.

From one of our leading chroniclers of the intersection of innovation and capitalism, a landmark reckoning—based on unprecedented access—with one of the world’s most brilliant and driven tech visionaries, and his game-changing company Even by the standard of a tech industry stacked with so-called geniuses, Demis Hassabis is a special case. Born poor in North London to immigrant parents, a chess prodigy by age five and wizard coder in his teens, he turned down a seven figure offer before turning 18 to feed his insatiable scientific curiosity at Cambridge. Later, he added a neuroscience PhD to his computer science skills to pursue the dream of artificial general intelligence, the ultimate goal being to unravel the mysteries of biology and theoretical physics and to usher in super-abundance. Alongside a small group of fellow travelers, that is the path he is still on, leading the AI research at Google, winning a Nobel Prize along the way, and imagining machines that will compound, or possibly supplant, the human understanding of the universe. Hassabis has given Sebastian Mallaby a great deal of his time, sitting for over thirty hours of conversation. But Mallaby has also drawn from Hassabis's detractors, such as his estranged cofounder Mustafa Suleyman; from his rivals, such as OpenAI's leading scientist Ilya Sutskever; and from academic pioneers who now fear for human survival, such as Nobel laureate Geoffrey Hinton. The result is a revelatory account of a singular figure and his company and a profound reckoning with this protean field as it leaps from the periphery to the center of our consciousness. No one questions Hassabis’s brilliance. There&nbsp;are those who, like Elon Musk, have at times regarded him as an "evil genius."&nbsp;He is in a game where the stakes are matched only by the exorbitant costs — for talent, and for compute. Celebrated scientists pursue the technology because they cannot resist the sweetness of discovery. Others pursue it for money or power. The inventors believe they control their technology, but often, the technology controls them. Despite Hassabis’s pivotal role inside Google’s engine room, this is not a Silicon Valley story. Hassabis deals with the Valley and takes its money, but remains outside and furiously critical of it, lambasting its leaders in conversation with Mallaby. The end of this race cannot be known, but as this great book shows us, Hassabis's quest to will a new form of cognition into the world is a defining story for our era.

Demis Hassabis, DeepMind, and the Quest for Superintelligence

The Infinity Machine

Most innovation advice breaks down when technology leads the market.
For decades, we've been taught that innovation starts with customer validation, empathy maps, and rapid feedback loops. That approach works when problems are well understood and solutions are incremental. But it quietly fails when feedback loops are slow, expensive, or nonexistent, when the technology itself must exist before customers can even imagine what is possible.
Build First, Market Later is a contrarian but practical book for engineers, technical founders, and system builders working at the edge of what is possible. It explains why breakthrough innovation rarely starts with market demand, why customers often cannot articulate needs for capabilities that do not yet exist, and why the most important innovations emerge from building first, then engaging the market when it is ready.
This book is not a rejection of Lean Startup or design thinking. It is an explanation of their limits, and a guide to when different innovation methods actually apply.
Drawing on examples ranging from lasers and semiconductors to software platforms, AI systems, medical technology, and open-source infrastructure, Farhad Abtahi shows how innovation fails not because of bad ideas, but because of misordered steps. Validation without physics. Stories without systems. Markets consulted before capabilities exist.
Build First, Market Later does not offer a recipe. It offers something more useful: a way to reason about innovation when the usual playbooks stop working.
If you are optimizing features, this book is not for you.
If you are building something that has never existed before, it is.

The Engineers Argument for Breakthrough Innovation

Build First, Market Later

A Biography

Friction

The purpose of this book is to connect the three domains of (1) ESG investment, (2) Industrie 4.0, and (3) blockchain technology through the common concept of “data,” and to illustrate how these elements are transforming modern industrial structures and corporate governance. The book is organized into four parts, introducing the key concepts and theoretical models necessary for understanding its structure.
First, the chapter reinterprets ESG investment&nbsp;through the lens of Max Weber’s ethics, positioning environmental, social, and governance factors not merely as indicators but as essential “information” that shapes corporate decision-making. It also examines the differences between ESG and SRI (using Euler and Venn diagrams), addresses the challenges of greenwashing and possible countermeasures, and discusses how pension systems incorporate future value.
Next, using the automotive industry as an example, the chapter explains how Industrie 4.0, the IoT, and Cyber-Physical Systems (CPS) are reshaping production processes and governance structures. A key point here is the shift from a traditional understanding of corporate value—once perceived in a “reified” form—to a society in which such value is increasingly visualized and assessed through data. By applying frameworks such as Porter’s Value Chain and Stan Shih’s Smiling Curve, the chapter analyzes the datafication of corporate behavior and its implications.
Furthermore, the chapter explores how the development of blockchain technology contributes to rebuilding trust, advancing decentralized governance, and enhancing transparency. This reflects a transition from an economy centered on production to one in which the “design of exchange” plays a central role in determining value.
Finally, the chapter employs interdisciplinary models—such as the Stakeholder Matrix, the St. Gallen Management Model, POW and POS, Hegelian dialectics, and Popper’s Three Worlds—to show how these three domains interact and complement one another as society moves, often unconsciously, toward a more sustainable economic model. Blockchain technology, in particular, serves as a key to understanding this transition, offering insights into how forms of exchange rooted in capitalist “reification” or “fetishism” are being reshaped.

The purpose of this book is to connect the three domains of (1) ESG investment, (2) Industrie 4.0, and (3) blockchain technology through the common concept of “data,” and to illustrate how these elements are transforming modern industrial structures and corporate governance. The book is organized into four parts, introducing the key concepts and theoretical models necessary for understanding its structure.First, the chapter reinterprets ESG investment&nbsp;through the lens of Max Weber’s ethics, positioning environmental, social, and governance factors not merely as indicators but as essential “information” that shapes corporate decision-making. It also examines the differences between ESG and SRI (using Euler and Venn diagrams), addresses the challenges of greenwashing and possible countermeasures, and discusses how pension systems incorporate future value.Next, using the automotive industry as an example, the chapter explains how Industrie 4.0, the IoT, and Cyber-Physical Systems (CPS) are reshaping production processes and governance structures. A key point here is the shift from a traditional understanding of corporate value—once perceived in a “reified” form—to a society in which such value is increasingly visualized and assessed through data. By applying frameworks such as Porter’s Value Chain and Stan Shih’s Smiling Curve, the chapter analyzes the datafication of corporate behavior and its implications.Furthermore, the chapter explores how the development of blockchain technology contributes to rebuilding trust, advancing decentralized governance, and enhancing transparency. This reflects a transition from an economy centered on production to one in which the “design of exchange” plays a central role in determining value.Finally, the chapter employs interdisciplinary models—such as the Stakeholder Matrix, the St. Gallen Management Model, POW and POS, Hegelian dialectics, and Popper’s Three Worlds—to show how these three domains interact and complement one another as society moves, often unconsciously, toward a more sustainable economic model. Blockchain technology, in particular, serves as a key to understanding this transition, offering insights into how forms of exchange rooted in capitalist “reification” or “fetishism” are being reshaped.

ESG Investment, German Industrie 4.0, and Blockchain

Education often teaches us how to become good employees and specialized professionals, yet it rarely prepares us for the fast-changing, challenging world of entrepreneurship. We are surrounded by endless advice-some helpful, some expensive-on how to make money or build a business. But the real question remains: What do you want to create, and how do the ideas of others align with your own goals, values, and aspirations?

This book -'Your Path for Business Success', offers more than information. It provides inspiration, clarity, and a practical framework to evaluate your own ambitions and capabilities. It is both a guide and a workbook-designed to help you plan your entrepreneurial journey, understand the major drivers of success, and anticipate the hurdles you will face along the way.

Magellan Group Professionals and Investors are deeply committed to 
developing the entrepreneurial mindset and skills we believe are essential in the emerging era of AI. If you've ever wondered what entrepreneurship truly means-and what it could mean specifically for you-this book will help you discover it. It will sharpen your focus, strengthen your confidence, and empower you to move toward success with purpose and direction.

Business Beyond Self-Employment

Your Path for Business Success

Innovation gilt als zentraler Treiber wirtschaftlicher Entwicklung. Gleichzeitig zeigen zahlreiche empirische Befunde, dass Innovationsprozesse selten frei von historischen Prägungen verlaufen. Die Autorin untersucht das Spannungsfeld zwischen Innovationsfähigkeit und Pfadabhängigkeit und analysiert, wie vergangene Entscheidungen, Routinen und institutionelle Strukturen die Entwicklung von Geschäftsmodellen langfristig beeinflussen.
Die Arbeit verbindet dafür Ansätze der Forschung zu Komplexität, Interdependenz, Modularität und Geschäftsmodellen mit der Theorie der Pfadabhängigkeit. Neben dieser neuartigen Kombination von Theorien folgt sie auch methodisch einem aufkommenden Trend: Der Integration von historischer Forschung in Managementstudien. Auf Basis der empirischen Analyse wird aufgezeigt, unter welchen Bedingungen Pfadabhängigkeit Innovationen hemmen, stabilisieren oder gezielt genutzt werden kann. Der untersuchte Fall eines Top-Players der Systemgastronomie zeigt anhand von Uses of the Past, dass Geschichte nicht nur eine Folge von Ereignissen in der Vergangenheit ist, sondern eine Ressource, mit der die Zukunft von Unternehmen gestaltet werden kann.
Das Buch leistet einen Beitrag zum besseren Verständnis der Dynamik von Innovationsprozessen und bietet zugleich praxisrelevante Implikationen für Unternehmen und politische Entscheidungsträger, die vor der Herausforderung stehen, etablierte Pfade zu überwinden oder bewusst weiterzuentwickeln.

Innovation gilt als zentraler Treiber wirtschaftlicher Entwicklung. Gleichzeitig zeigen zahlreiche empirische Befunde, dass Innovationsprozesse selten frei von historischen Prägungen verlaufen. Die Autorin untersucht das Spannungsfeld zwischen Innovationsfähigkeit und Pfadabhängigkeit und analysiert, wie vergangene Entscheidungen, Routinen und institutionelle Strukturen die Entwicklung von Geschäftsmodellen langfristig beeinflussen.Die Arbeit verbindet dafür Ansätze der Forschung zu Komplexität, Interdependenz, Modularität und Geschäftsmodellen mit der Theorie der Pfadabhängigkeit. Neben dieser neuartigen Kombination von Theorien folgt sie auch methodisch einem aufkommenden Trend: Der Integration von historischer Forschung in Managementstudien. Auf Basis der empirischen Analyse wird aufgezeigt, unter welchen Bedingungen Pfadabhängigkeit Innovationen hemmen, stabilisieren oder gezielt genutzt werden kann. Der untersuchte Fall eines Top-Players der Systemgastronomie zeigt anhand von Uses of the Past, dass Geschichte nicht nur eine Folge von Ereignissen in der Vergangenheit ist, sondern eine Ressource, mit der die Zukunft von Unternehmen gestaltet werden kann.Das Buch leistet einen Beitrag zum besseren Verständnis der Dynamik von Innovationsprozessen und bietet zugleich praxisrelevante Implikationen für Unternehmen und politische Entscheidungsträger, die vor der Herausforderung stehen, etablierte Pfade zu überwinden oder bewusst weiterzuentwickeln.

Eine Fallstudie in der Systemgastronomie

Geschäftsmodelle zwischen Tradition und Innovation

In an era where traditional marketing techniques are losing their effectiveness, businesses must embrace innovative and forward-thinking strategies to maintain a competitive edge. AI-Driven Blue Ocean Strategies offers business managers, marketers, and entrepreneurs a detailed reference on how to leverage artificial intelligence to create and sustain new Blue Ocean strategies. By combining the power of Artificial Intelligence with the principles of Blue Ocean Strategy, this book provides actionable insights on uncovering new market opportunities, developing differentiated value propositions, and ensuring long-term business success.
With contributions from a diverse team of experts, this book presents a robust framework for applying AI in market research, consumer analysis, and trend forecasting. Through real-world case studies, readers will learn how leading companies are using AI-driven approaches to break free from saturated markets and establish new, uncontested market spaces. The authors provide an avenue for discussion of all aspects of how AI is transforming marketing and customer experience, from big data analysis and predictive analytics to content generation and real-time customer interactions.

Ai-Driven Blue Ocean Strategies

From a former President of Tesla comes The Algorithm—the first book written by any of Elon Musk’s direct reports—a transformative guide for leaders, entrepreneurs, and innovators who want to emulate the paradigm-shattering approach Musk used to launch Tesla and SpaceX to meteoric success. Jonathan McNeill had already founded and sold six startups when Sheryl Sandberg introduced him to Elon Musk, who was looking for help at Tesla. McNeill was steeped in the lean principles that had made Toyota a global powerhouse—principles focused on achieving efficiency and optimization by incrementally improving existing systems and processes. What he learned from Elon at Tesla was its antithesis, an approach that required radical rethinking to explode the status quo, attack complexity, and set seemingly unrealistic goals. Elon called this five-step framework “The Algorithm.”&nbsp; <ol><li>Question every requirement.</li><li>Delete every possible step in the process.&nbsp;</li><li>Simplify and optimize.&nbsp;</li><li>Accelerate cycle time.&nbsp;</li><li>Automate.&nbsp;</li></ol>In this book, McNeill details this tremendously powerful set of tools, which brought Tesla from a production crisis that threatened to derail it to a period of hypergrowth. During his tenure, revenue boomed from $2B to $20B in just 30 months. Since his departure from Tesla, McNeill has used The Algorithm in every enterprise he has worked with to supercharge speed, efficiency, innovation, and growth. Featuring case studies from Tesla and SpaceX, as well as from Lululemon, GM, and companies of various sizes across industries, he reveals how any business can do the same and achieve the unimaginable.

From a former President of Tesla comes The Algorithm—the first book written by any of Elon Musk’s direct reports—a transformative guide for leaders, entrepreneurs, and innovators who want to emulate the paradigm-shattering approach Musk used to launch Tesla and SpaceX to meteoric success. Jonathan McNeill had already founded and sold six startups when Sheryl Sandberg introduced him to Elon Musk, who was looking for help at Tesla. McNeill was steeped in the lean principles that had made Toyota a global powerhouse—principles focused on achieving efficiency and optimization by incrementally improving existing systems and processes. What he learned from Elon at Tesla was its antithesis, an approach that required radical rethinking to explode the status quo, attack complexity, and set seemingly unrealistic goals. Elon called this five-step framework “The Algorithm.”&nbsp; <ol><li>Question every requirement.</li><li>Delete every possible step in the process.&nbsp;</li><li>Simplify and optimize.&nbsp;</li><li>Accelerate cycle time.&nbsp;</li><li>Automate.&nbsp;</li></ol>In this book, McNeill details this tremendously powerful set of tools, which brought Tesla from a production crisis that threatened to derail it to a period of hypergrowth. During his tenure, revenue boomed from $2B to $20B in just 30 months. Since his departure from Tesla, McNeill has used The Algorithm in every enterprise he has worked with to supercharge speed, efficiency, innovation, and growth. Featuring case studies from Tesla and SpaceX, as well as from Lululemon, GM, and companies of various sizes across industries, he reveals how any business can do the same and achieve the unimaginable.

The Hypergrowth Formula That Transformed Tesla, Lululemon, General Motors, and SpaceX

The Algorithm

Start-up suisse

Weitere Titel zum Thema