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Business and Management (R0)

Rhoda Okunev

Analytics for Retail

A Step-by-Step Guide to the Statistics Behind a Successful Retail Business

Chapter 1: The Basics of Statistics.- Chapter 2:&amp;nbsp;The Normal Curve.- Chapter 3:&amp;nbsp;Probability and Percentages and Their Practical Business Uses.- Chapter 4:&amp;nbsp;Retail Math:&amp;nbsp; Basic, Inventory, Productivity, and Growth Rate Metrics.- Chapter 5:&amp;nbsp;Financial Ratios.- Chapter 6: Using Frequencies and Percentages to Create Stories from Charts.- Chapter 7: Hypothesis Testing and Interpreting Results.- Chapter 8:&amp;nbsp;Pearson Correlation and Simple Regressions.- Chapter 9:&amp;nbsp;Independent t-test.- Chapter 10:&amp;nbsp;Putting it all Together: An Email Campaign.- Chapter 11: Forecasting: Planning for Future Scenarios.- Chapter 12: Epilogue.- Appendix A: Accounting Spreadsheet.- Appendix B: Book Email Spreadsheet.- Appendix C: Forecasting Spreadsheet.- Appendix D: Data Types.- Appendix E: Math Review.&amp;nbsp;&lt;div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;/div&gt;

Dieses Buch zeigt, wie sich Apple, Amazon, Facebook und Google zu den wertvollsten Unternehmen der Welt entwickeln konnten. Ihr Erfolg basiert auf dem Ergreifen von Chancen, die die digitale Welt und das Internet bieten. Traditionelle Geschäftsmodelle werden dadurch verändert und über Jahrzehnte gewachsene Marktstrukturen teilweise in Frage gestellt. Anschaulich erläutert werden die Grundlagen, die beim Angebot digitaler Güter, der Nachfrage auf digitalen Märkten und der Intermediation zu beachten sind. Das Buch beschreibt neben der Plattformökonomie, dem Kritische-Masse-Phänomen und dem Winner-takes-it-all-Phänomen auch die Funktionsweisen von zwei- und mehrseitigen Märkten. Es illustriert mit Crowdsourcing, kooperativen Märkten und Peer-to-Peer-Märkten konkrete Anwendungsfelder. Außerdem erhält der Leser einen Überblick über Datenmärkte – eine Marktform, die sich vor dem Hintergrund der geforderten Datensouveränität privater Verbraucher derzeit entwickelt. Die 5. Auflage wurde in Form eines modularen Ansatzes neu gestaltet. Die Kapitel fügen sich mit Vor- und Nachbereitung für eine Lehreinheit mit zwei Stunden pro Woche gut in die Struktur eines Semesters ein. Rund 200 Abbildungen, 70 Tabellen, 120 Übungsaufgaben sowie zahlreiche Fallbeispiele erleichtern das Verständnis und bieten einen hohen Praxisbezug. Die Module sind durch einen Lernpfad verknüpft und haben durchgehend den gleichen Aufbau. Lösungshinweise zu den Übungsaufgaben sind als Download auf der Internetseite des Buches unter www.springer.com verfügbar.

Dieses Buch zeigt, wie sich Apple, Amazon, Facebook und Google zu den wertvollsten Unternehmen der Welt entwickeln konnten. Ihr Erfolg basiert auf dem Ergreifen von Chancen, die die digitale Welt und das Internet bieten. Traditionelle Geschäftsmodelle werden dadurch verändert und über Jahrzehnte gewachsene Marktstrukturen teilweise in Frage gestellt. Anschaulich erläutert werden die Grundlagen, die beim Angebot digitaler Güter, der Nachfrage auf digitalen Märkten und der Intermediation zu beachten sind. Das Buch beschreibt neben der Plattformökonomie, dem Kritische-Masse-Phänomen und dem Winner-takes-it-all-Phänomen auch die Funktionsweisen von zwei- und mehrseitigen Märkten. Es illustriert mit Crowdsourcing, kooperativen Märkten und Peer-to-Peer-Märkten konkrete Anwendungsfelder. Außerdem erhält der Leser einen Überblick über Datenmärkte – eine Marktform, die sich vor dem Hintergrund der geforderten Datensouveränität privater Verbraucher derzeit entwickelt.
 
 Die 5. Auflage wurde in Form eines modularen Ansatzes neu gestaltet. Die Kapitel fügen sich mit Vor- und Nachbereitung für eine Lehreinheit mit zwei Stunden pro Woche gut in die Struktur eines Semesters ein. Rund 200 Abbildungen, 70 Tabellen, 120 Übungsaufgaben sowie zahlreiche Fallbeispiele erleichtern das Verständnis und bieten einen hohen Praxisbezug. Die Module sind durch einen Lernpfad verknüpft und haben durchgehend den gleichen Aufbau. Lösungshinweise zu den Übungsaufgaben sind als Download auf der Internetseite des Buches unter www.springer.com verfügbar.

Grundlagen und Fallbeispiele der digitalen und vernetzten Wirtschaft

Internet-Ökonomie

Nick Clegg, formerly one of Meta's most senior executives, presents a blueprint for reforming Big Tech while preserving the essential openness of the internet 'Warns of the dangers posed to a free and open global internet by an age of autocrats and a titanic power struggle over AI' Guardian As democracies seek to curb the power of Big Tech, as authoritarian regimes like China and Russia isolate their populations from the internet, and as the AI race supercharges divisions between competing nations, the most powerful tool for bringing us together risks being dismantled. Taking us behind the scenes at Meta, and drawing on his unique experience on the world stage of both tech and politics, Nick Clegg sets out where Big Tech has gone wrong and the radical reforms that are needed if global platforms are to ensure their long-term future. But he also shows that many of the charges against them are overstated or simply untrue, and presents a blueprint for the international cooperation that is needed if we are to preserve what makes them so vital to our future: their potential to empower and improve billions of lives. Radical, reasonable, deeply felt and disarmingly honest, How To Save the Internet reminds us how much we stand to lose on our current path - and how much we might yet gain from a global, open internet. 'Entertaining . . . lucid, detailed . . . there is much to agree with' Spectator 'Studded throughout [with] good analyses of the political situation around technology' Observer 'A gripping and timely book. Nick Clegg writes with clarity, authority and urgency' Peter Frankopan, author of The Silk Roads 'A wake-up call we cannot afford to ignore' Tony Blair 'A vital read' Reid Hoffman, co-founder of LinkedIn

The Threat to Global Connection in the Age of AI and Political Conflict

How to Save the Internet

This book brings together a set of contributions through which it is possible to understand the recent evolution and the moment of disruption in which the textile and fashion industry finds itself.

Considered for a long time as a traditional industry with a reduced technological component, its competitiveness is now imposed by technological dominance, both in terms of new materials or processes based on biotechnology, and in terms of data processing and digitalization of processes, from production to omnichannel distribution, the use of metaverse and Artificial Intelligence.

In this book, the cases of the Zara and Shein brands, new materials and digitalization of processes along the entire value chain are analyzed. Everything is in transformation, including Fashion Education.

All these changes will lead to questions about the circularity and sustainability of the industry.

This book brings together a set of contributions through which it is possible to understand the recent evolution and the moment of disruption in which the textile and fashion industry finds itself.Considered for a long time as a traditional industry with a reduced technological component, its competitiveness is now imposed by technological dominance, both in terms of new materials or processes based on biotechnology, and in terms of data processing and digitalization of processes, from production to omnichannel distribution, the use of metaverse and Artificial Intelligence.In this book, the cases of the Zara and Shein brands, new materials and digitalization of processes along the entire value chain are analyzed. Everything is in transformation, including Fashion Education.All these changes will lead to questions about the circularity and sustainability of the industry and that is also one of the aims of this book.

Proceedings of the Global Fashion Conference, October 11th-12th 2024

Fashion Works

Advanced technologies like Artificial Intelligence, the Internet of Things, Big Data and Cyber Physical Systems are not only reshaping business operations but also redefining competition across industries. 
Integrating 4IR and 5IR Technologies for Digital Business Innovation provides an understanding of the characteristics and implications associated with Industry 4.0 and 5.0 technologies. It also offers frameworks for integrating these technologies into business operations to foster innovation, enhance efficiency, and gain a competitive edge. Furthermore, the book offers insights and frameworks for integrating these technologies into business operations to foster innovation, enhance efficiency, and gain a competitive edge and investigates the paths of these technologies and their potential impact on various industries. 
Perspectives from a range of experts in divergent fields makes this an invaluable resource suitable for various audiences: from business executives and entrepreneurs to scholars and students alike this publication serves as a reference material that equips them with knowledge and tools necessary for thriving in the era of intelligent technology.

Integrating 4IR and 5IR Technologies for Digital Business Innovation provides an understanding of the characteristics and business operations and management implications associated with Industry 4.0 and 5.0 technologies such as AI, IoT and Big Data.

Integrating 4ir and 5ir Technologies for Digital Business Innovation

Zum Werk Mit dem digitalen Wandel steigt die rechtliche Bedeutung der Beschaffung und Verarbeitung von Daten. Das Handbuch bietet hierzu eine grundlegende und umfassende Darstellung des Datenrechts. Es hilft allen Interessierten, die relevanten rechtlichen Aspekte der Datenwirtschaft zu verstehen und Daten praxisgerecht und rechtskonform einzusetzen. Das Werk ist entlang des Lebenszykluses von Daten aufgebaut, um ausgehend vom Praxisfall querschnittsartig den Zugang zur hochkomplexen Datenregulierung vor allem der EU zu eröffnen. Beginnend mit der Datenerhebung bis hin zur Löschung werden alle Nutzungsmöglichkeiten rechtlich ausführlich behandelt. Das Handbuch erörtert die oft fragmentierte Rechtslage konzentriert aus einer Hand. So finden Leserinnen und Leser schnell die für sie relevanten Informationen. Vorteile auf einen Blick<ul><li>Praxisorientierung durch Orientierung am Lebenszyklus von Daten</li><li>konzentrierte und hochaktuelle Darstellung der rechtlichen Situation</li><li>im Datenrecht ausgewiesene Autorinnen und Autoren aus Wissenschaft und Praxis</li></ul> Zielgruppe Für Rechtsanwaltschaft, Syndikusanwaltschaft, Behördenreferentinnen und Behördenreferenten, Richterschaft sowie Wissenschaftlerinnen und Wissenschaftler jeglicher Disziplinen.

Zum Werk 
 Mit dem digitalen Wandel steigt die rechtliche Bedeutung der Beschaffung und Verarbeitung von Daten. Das Handbuch bietet hierzu eine grundlegende und umfassende Darstellung des Datenrechts. Es hilft allen Interessierten, die relevanten rechtlichen Aspekte der Datenwirtschaft zu verstehen und Daten praxisgerecht und rechtskonform einzusetzen.
 
 Das Werk ist entlang des Lebenszykluses von Daten aufgebaut, um ausgehend vom Praxisfall querschnittsartig den Zugang zur hochkomplexen Datenregulierung vor allem der EU zu eröffnen. Beginnend mit der Datenerhebung bis hin zur Löschung werden alle Nutzungsmöglichkeiten rechtlich ausführlich behandelt. Das Handbuch erörtert die oft fragmentierte Rechtslage konzentriert aus einer Hand. So finden Leserinnen und Leser schnell die für sie relevanten Informationen.
 Vorteile auf einen Blick<ul><li>Praxisorientierung durch Orientierung am Lebenszyklus von Daten</li><li>konzentrierte und hochaktuelle Darstellung der rechtlichen Situation</li><li>im Datenrecht ausgewiesene Autorinnen und Autoren aus Wissenschaft und Praxis</li></ul> Zielgruppe 
 Für Rechtsanwaltschaft, Syndikusanwaltschaft, Behördenreferentinnen und Behördenreferenten, Richterschaft sowie Wissenschaftlerinnen und Wissenschaftler jeglicher Disziplinen.

Datenrecht

Jus Privatum

Lea Katharina Kumkar examines the possibilities and limits of non-contractual rule-making in the digital sector. She begins with the observation that digital services are often used without a solid contractual basis. This raises the question of whether providers can regulate user behaviour - for example through "community standards" - even in the absence of contractual obligations. The author develops a model that derives regulatory authority from subjective rights ("theory of conditional permission"): a rightsholder may permit third parties to interfere with the protected scope of their right and may attach conditions to this permission. Such conditions participate in the validity claim of the subjective right and operate as binding rules of conduct for anyone who acts within the protected scope of that right. On this basis, the subjective right conveys a rule-making authority that is limited by the object of the right itself. For the digital sector, the author identifies ownership of the server as a suitable basis for non-contractual rule-making. Access to server resources constitutes rivalrous use and thus an interference with property. Owners may therefore set conditions for such use and thereby regulate behaviour in virtual space. However, this form of rule-making is subject to limits arising in particular from the principles governing the effect of fundamental rights between private parties as well as from regulatory requirements.

Private Ordnung virtueller Räume

HBR's 10 Must Reads

How to stay ahead in a world transformed by AI.If you read nothing else on artificial intelligence, read this book. We've chosen a new selection of current and classic Harvard Business Review articles that will help you make sense of the evolving generative AI landscape, manage regulation and risk, and develop a strategy that keeps pace with technological change.This book will inspire you to: <ul><li>Help your people and technology work better together</li><li>Redesign roles, workflows, and capabilities</li><li>Keep your AI projects on track</li><li>Address gen AI's quality control and waste problems</li><li>Harness the potential of agentic AI</li><li>Embed AI in the core of your business</li></ul>This collection of articles includes "For Success with AI, Bring Everyone on Board," by David De Cremer; "Bring Human Values to AI," by Jacob Abernethy, Francois Candelon, Theodoros Evgeniou, Abhishek Gupta, and Yves Lostanlen; "From Prediction to Transformation," by Ajay Agrawal, Joshua Gans, and Avi Goldfarb; "How AI Can Help Managers Think Through Problems," by Elisa Farri and Gabriele Rosani; "The Gen AI Playbook for Organizations," by Bharat N. Anand and Andy Wu; "Agentic AI Is Already Changing the Workforce," by Jen Stave, Ryan Kurt, and John Winsor; "Keep Your AI Projects on Track," by Iavor Bojinov; "How to Marry Process Management and AI," by Thomas H. Davenport and Thomas C. Redman; "The Hidden Penalty of Using AI at Work," by Oguz A. Acar, Phyliss Jia Gai, Yanping Tu, and Jiayi Hou; "Heavy Machinery Meets AI," by Vijay Govindarajan and Venkat Venkatraman; "AI Is Changing the Structure of Consulting Firms," by David S. Duncan, Tyler Anderson, and Jeffrey Saviano; "Stop Running So Many AI Pilots," by Goutam Challagalla, Mahwesh Khan, and Fabrice Beaulieu; "Addressing Gen AI's Quality-Control Problem," by Stefan Thomke, Philipp Eisenhauer, and Puneet Sahni; "AI's Growing Waste Problem--and How to Solve It," by Samsurin Welch, Khaled Soufani, and Eva Morales; and "Don't Let an AI Failure Harm Your Brand," by Julian De Freitas.HBR's 10 Must Reads are definitive collections of classic ideas, practical advice, and essential thinking from the pages of Harvard Business Review. Exploring topics like disruptive innovation, emotional intelligence, and new technology in our ever-evolving world, these books empower any leader to make bold decisions and inspire others.This Updated and Expanded edition features new, breakthrough articles, additional short-form pieces, and a detailed discussion guide to give you and your team the tools you need for sustained success.

HBR's 10 Must Reads on Artificial Intelligence

How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

How deep learning from Google Translate to driverless cars to personal cognitive assistants is changing our lives and transforming every sector of the economy.

The Deep Learning Revolution

Digitalisierungsstrategien kulturbewusst umsetzen

Die Bedeutung der Organisationskultur in der öffentlichen Verwaltung

Schriften zum Recht der Digitalisierung

Kolja Kaden deals with the civil law analysis of personalized contract initiation in the digital space. He begins with the observation that companies are increasingly combining data-based advertising strategies with behavioral economic methods in order to specifically influence users' decision-making processes. He examines the constellations in which such strategies can induce users to conclude unwanted contracts and have an inadmissible effect on their private autonomy. The focus is on the effectiveness of current civil law with regard to protection against manipulative practices. In addition to the structures of contract law, relevant references to data protection law, platform regulation, fair trading law and the law of artificial intelligence are also included. The author comes to the conclusion that the current civil law framework sets only limited specific limits for safeguarding private autonomy. He therefore does not advocate new legal regulations, but rather a dogmatic further development of existing institutions.

Zivilrechtliche Grenzen von Data Driven Exploitative Advertising

Der personalisiert angebahnte (unerwünschte) Vertrag

An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspoken CEO, Alex Karp, tracing the ascent of Big Data, the rise of surveillance technology, and the shifting global balance of power in the 21st century. Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends, and connections that might elude the human eye. Founded in 2003 to help the US government in the war on terrorism—an early investor was the CIA—Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the US military, dozens of federal agencies, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to the future of warfare, the company is at the nexus of the most critical issues of the 21st century. Its CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he’s a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir’s work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp’s close friend and Palantir cofounder Peter Thiel. In The Philosopher in the Valley, journalist Michael Steinberger explores the world of Alex Karp, Palantir, and the future that they are leading us toward. It is an urgent and illuminating work about one of Silicon Valley’s most secretive and powerful companies, whose technology is at the leading edge of the surveillance state.

Alex Karp, Palantir, and the Rise of the Surveillance State

The Philosopher in the Valley

Springer Texts in Business and Economics

This book provides different applications and methods of conjoint analysis in marketing. It gives an introduction into the basic ideas of conjoint analysis and describes the steps involved in designing a ratings-based conjoint study. This new revised second edition offers newer methods for estimating utility functions for products with multiple attributes such as Best-Worst Scaling, incorporating non-compensatory aspects, and auction methods. It features new chapters on advanced methods of analysis (e.g., machine-learning based and others) and conjoint analysis with other types of data such as eye tracking, visual design evaluations, search data and GPT, among others. While the focus of the book is on methods in marketing, these methods are also applicable for other business and social sciences. 
This book is useful to academics, researchers, and scholars applied marketing science. This book is also suitable as a textbook for quantitative marketing coursework.

This book provides different applications and methods of conjoint analysis in marketing. It gives an introduction into the basic ideas of conjoint analysis and describes the steps involved in designing a ratings-based conjoint study. This new revised second edition offers newer methods for estimating utility functions for products with multiple attributes such as Best-Worst Scaling, incorporating non-compensatory aspects, and auction methods. It features new chapters on advanced methods of analysis (e.g., machine-learning based and others) and conjoint analysis with other types of data such as eye tracking, visual design evaluations, search data and GPT, among others. While the focus of the book is on methods in marketing, these methods are also applicable for other business and social sciences. 
 This book is useful to academics, researchers, and scholars applied marketing science. This book is also suitable as a textbook for quantitative marketing coursework.

From Product and Service Design to Market and Pricing Strategies

Applied Conjoint Analysis

Analytics for Retail

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