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Gesamtkatalog

Catalogue complet

Alex Linder

Risk analysis of the future of the German Volkswagen brand in relation to social, political and technical changes

Both a revelatory, insight-filled playbook for doing business in China and a probing look at why the country, despite the challenges it faces, still possesses unrivaled prospects for growth and entrepreneurial opportunity-by two leaders who, over the course of decades, have taken turns helming McKinsey's China-based management consulting. In just forty years, China has transformed from a closed economy into a global powerhouse. Riding the tailwinds of its massive labor supply, aggressive infrastructure investment, and ingrained work ethic, the nation became a haven of opportunity. However, more recently, shifting demographics, less torrid growth, and an increasingly complex geopolitical environment have caused some to wonder: Where lies the next China? The authors of this book have a bold and unequivocal answer: the next China is still China. There is no substitute for the Chinese market. China accounts for a staggering 30% of global manufacturing and 18% of global GDP, surpassing the European Union and trailing only the United States. With nearly five million STEM graduates each year (more than the total number of US degree graduates across all fields!), China is well-positioned in an era of technological automation, artificial intelligence, and data-powered innovation. However, the strategies that once propelled businesses to success in China are no longer sufficient. A new playbook is needed. The Next China Is Still China will answer a range of provocative questions, including: * Will China with its aging population fall into a Japan-style stagnation, or can it maintain its superpower trajectory? * What is exciting about the country's vaunted "China speed," and how can multinationals continue leveraging it for outsized profits? * What is the key to pleasing China's "hyper-switching" consumers who have little brand loyalty? * Amid rising nationalism and geopolitical risk, should global firms rethink their China presence or, instead, double down? * As America's tech giants make massive investment in AI, can China's fast-adapting innovation ecosystem keep up? The Next China Is Still China upends conventional wisdom, providing fresh actionable strategies for winning in the years ahead.

An Insider’s Playbook for Winning in the New Era

The Next China is Still China

This book introduces the subject of artificial intelligence (AI), its structures, uses, application to the artificial neural network, technology applications, and the advantages and disadvantages of its use, including its potential weaknesses and drawbacks. AI, in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. Such machines may be called AIs. AI technology is widely used throughout industry, government, and science.Some high-profile applications include advanced web search engines (e.g., Google Search); recommendation systems (used by platforms such as YouTube, Amazon, and Netflix); interacting via human speech (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., ChatGPT, Apple Intelligence, and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go). However, many AI applications are not perceived as AI. It would appear that much of specific AI has filtered into general applications, often without being called AI because once something becomes useful and common enough, it is no longer labelled as AI.The growing use of AI in the 21st century is influencing a societal and economic shift towards increased automation, data-driven decision-making, and the integration of AI systems into various economic and commercial sectors and areas of everyday life. Its impact is felt across job markets, healthcare, government, industry, education, propaganda, and disinformation and deception, whether deliberate or otherwise. This raises questions about the long-term effects, ethical implications, and risks of AI, prompting discussions about regulatory policies to ensure the safety and benefits of the technology.

Advantages, Disadvantages, Benefits, and Threats

Artificial Intelligence

SpringerBriefs in Finance

This book explores ESG-related controversies in European family firms using bibliometric analysis to reveal seven thematic clusters that shape the current knowledge of risk in family enterprises. From ownership and board structure to innovation, internationalization, emotional dynamics, and crisis resistance, each cluster is examined to find its theoretical foundation, conceptual linkage, and managerial implications. To address persistent blind spots in the current literatures, the authors present a study based on various European listed companies examining how governance characteristics such as family ownership, board diversity, presence of family members on the board and board size affect the likelihood of ESG controversies in family firms versus non-family firms. The book concludes by outlining priority areas for future research, including governance and disclosure, succession and financial structure, innovation and digitization, ESG and reputational risk, and institutional context. This book is essential for scholars, students, researchers in family business, corporate governance, and strategic management as well as practitioners and policymakers concerned with ESG performance, sustainability, and long-term resilience in family firms.

Exploring ESG Pressures, Organizational Behaviors, and Strategic Responses

Risk and Sustainability in Family Businesses

Exit Before Collapse examines how systems fail gradually rather than suddenly, and why the ability to leave disappears long before collapse becomes visible. The book explores dependency, delayed risk, and shrinking exit windows in careers, institutions, relationships, and countries. It offers a clear framework for recognizing early warning signs, understanding when stability is already gone, and designing exits before leaving becomes costly or impossible. This is not a guide to panic or rebellion, but a sober analysis of timing, leverage, and survival under constraint.

Timing, Dependency, and Leaving Systems While It's Still Possible

Exit Before Collapse

Security, Audit and Leadership Series

In an era where cyber threats evolve faster than traditional defenses can adapt, the need for a paradigm shift in cybersecurity auditing has never been more urgent. Transforming Cybersecurity Audit Practices with Agility and Artificial Intelligence (AI) presents a groundbreaking approach to modernizing audit methodologies.

Transforming Cybersecurity Audit Practices with Agility and Artificial Intelligence (AI)

Palgrave Studies in Emerging Risk Management and Sustainable Finance

This handbook addresses the integration of economic, social, and ecological factors to achieve balanced and enduring financial decisions, focusing on both the challenges and the opportunities in sustainable finance globally. In addition to reviewing recent work in this area, the book offers insights into promising academic, practical, and regulatory advancements in the field.

This handbook explores new developments in sustainable funding and investment strategies, sustainable risk-return management, and digital sustainable finance. The book takes a forward-looking and future-oriented perspective to accompany the sustainability transformation. As the global economy and its participants try to navigate and address growing concerns relating to climate change, a detailed understanding of the current research and practical advances in the field is of utmost importance.

As such, the handbook offers both a conceptual discussion of sustainable finance alongside a collection of instruments to create, manage, and regulate sustainable investments. It includes contributions from theory and practice, i.e., a combination of theoretical and applied models with a forward-looking and innovative approach to current advances in the field. In addition, it explores the integration of sustainable finance and digitalization. It will be of interest to students, researchers, and practitioners of sustainable finance and impact finance.

The Palgrave Handbook of Sustainable Finance

This book offers readers a basic understanding of risk, insurance and its management in non-technical terms for an individual, a business or the home. This knowledge makes individuals or businesses conscious of the fact that a loss can occur in almost any activity and often helps to avoid the shock and disbelief that comes about as and when a loss occurs. By understanding these concepts, one can forecast potential losses and not only find ways to minimise their impact but also reduce the losses and their effects when they occur. 
Every purchaser of an insurance product needs a basic knowledge of insurance: the benefits of the product purchased, the principles that govern the insurance product, the implicit benefits of insurance policies, the regulations that govern insurance contract between the purchaser and the insurance company. This knowledge does not only assist readers with access to the full benefit of the product purchased and better participants on the insurance market but understand the value of the insurance. It also provides the intricacies involved in the management of claims and why some claims for certain products purchased are delayed. It solves the paucity of work that explains the work that insurers perform to a person with little or no knowledge of insurance but discusses other avenues for investment for insurance companies.

This book offers readers a basic understanding of risk, insurance and its management in non-technical terms for an individual, a business or the home. This knowledge&nbsp;makes individuals or businesses conscious of the fact that a loss can occur in almost any activity and often helps to avoid the shock and disbelief that comes about as and when a loss occurs. By understanding these concepts, one can forecast potential losses and not only find ways to minimise their impact but also reduce the losses and their effects when they occur.&nbsp;Every purchaser of an insurance product needs a basic knowledge of insurance: the benefits of the product purchased, the principles that govern the insurance product, the implicit benefits of insurance policies, the regulations that govern insurance contract between the purchaser and the insurance company. This knowledge does not only assist readers with access to the full benefit of the product purchased and better participants on the insurance market but understand the value of the insurance. It also provides the intricacies involved in the management of claims and why some claims for certain products purchased are delayed. It solves the paucity of work that explains the work that insurers perform to a person with little or no knowledge of insurance but discusses other avenues for investment for insurance companies.

A Focus on Frontier Markets

Fundamentals of Managing Risk and Insurance

International Series in Operations Research & Management Science

This book presents a comprehensive examination of emerging digital innovations and their implications for supply chain management. Bridging theory and application, this book provides valuable insights into how technological advancements are influencing practice, policy, and research across global supply networks. The book begins with an overview of emerging technologies and their practical applications in supply chains. It then explores the use of blockchain to enhance traceability and observability, followed by a detailed look at data-driven analytics for building resilient and adaptive supply chains. The final section focuses on the transformative role of artificial intelligence in optimizing supply chain operations. 
This book can be used as an essential source for students and scholars who are interested in pursuing research or teaching courses on the rapidly evolving field of digital transformation in supply chains. It also provides valuable insights for managers and practitioners seeking to enhance their knowledge and effectively navigate the digital transformation of their supply chain operations.

Towards Digital Transformation

Emerging Technologies in Supply Chains

Contributions to Management Science

This book presents selected papers from the 2025 3rd International Conference on Management Information System which was held on Yokohama, Japan during September 27-29. The chapters collectively offer a rich and diverse exploration of contemporary issues in management information systems, reflecting cutting-edge research and practical applications. These chapters address critical topics such as technological innovation, sales management, government incentives for sustainable transportation, and the paradoxes of technology adoption. By reframing technological pathways and examining effective sales strategies, the book provides fresh perspectives and practical solutions for both academia and industry.The integration of advanced methodologies, such as data mining for predicting fire incidents and machine learning models for financial predictions, showcases the innovative use of technology in risk management and decision-making processes. Additionally, the exploration of AI's impact on individual investors and the enhancement of management information systems with large language models highlight the transformative potential of artificial intelligence in various sectors.Overall, the book's comprehensive approach and interdisciplinary focus make it a valuable contribution to the fields of management information systems, finance, and technology, offering theoretical and practical insights that can drive innovation and efficiency across multiple domains.

A New Era in Management Science

Data, Decisions, and Disruption

Platform Supply Chains in the AI Era

Risk Management

Platform Supply Chains 5

Dynamic Modeling and Econometrics in Economics and Finance

Nonlinear models are indispensable in modern finance, yet their reliance on numerical root-finding methods introduces layers of complexity that demand careful attention. This textbook offers a comprehensive and accessible guide to understanding these challenges and applying advanced econometric techniques to real-world financial and economic time series data.
Designed for students, professionals, and researchers with a foundational background in statistics, econometrics, and finance, this book bridges the gap between theory and practice. It introduces key concepts progressively, making it suitable for both intermediate and advanced readers. Each chapter is written in clear, approachable language, ensuring that even those with limited prior experience in econometrics can grasp and apply the material effectively.
The book is organized into five chapters that progressively guide readers through key concepts in financial time series modeling. It begins with Chapter 1, which introduces data filtering techniques, emphasizing the Kalman Filter's role in improving model accuracy. Chapter 2 explores volatility modeling, addressing common challenges in measuring and interpreting variance in financial data. Chapter 3 builds on this by presenting hybrid approaches that combine GARCH models with neural networks to enhance predictive performance. Chapter 4 applies dynamic volatility models to option valuation, offering both theoretical insights and practical tools. Finally, Chapter 5 delves into regime-switching models, including MSAR (Markov Switching Auto Regressive) and STAR (Smooth Transition Auto Regressive), to capture nonlinear behaviors and structural shifts in time series data. Together, these chapters form a cohesive narrative on modeling the dynamic behavior of financial time series, with a particular emphasis on volatility and structural shifts. Whether you're a finance professional, economist, or data scientist, this book is an essential resource for mastering the tools and techniques that drive modern financial analysis.

A Practical Approach

Non-Linearity in Econometric Modeling, Vol. 1

Seminar paper from the year 2025 in the subject Business economics - Miscellaneous, grade: 2,0, University of Applied Sciences Hanover (Fakultät IV Wirtschaft und Informatik), course: Risk Management, language: English, abstract: This paper examines Volkswagen's future viability in the face of major social, political, and technological changes in the automotive industry. It argues that VW remains highly important for Germany and Lower Saxony, but is under growing pressure due to falling profitability, weak plant utilization, declining sales momentum, and an ongoing restructuring process. The paper first outlines Volkswagen's current situation and then analyzes the changing environment in which the company operates. 

The analysis highlights several external pressures. Socially, urbanization, changing mobility behavior, environmental awareness, weak consumer sentiment, and a shortage of IT specialists are described as important trends. Politically, the paper points to stricter CO2 regulation, the planned phaseout of combustion engines in Europe, changing subsidy policies, protectionism, and Germany's locational disadvantages such as high labor and energy costs. Technologically, it focuses on the shift to electromobility, software-defined vehicles, digital connectivity, raw-material dependencies, and semiconductor shortages. 

The core of the paper is a structured risk analysis using rating approaches from Moody's, Standard &amp; Poor's, Fitch, and Scope. It identifies key risks such as declining market share, especially in Asia, intense competition from Chinese manufacturers, weak software capabilities, dependence on combustion-engine business in Europe, ownership-related governance conflicts, CO2 penalty risks, and supply-chain vulnerabilities. At the same time, the paper notes opportunities including VW's strong liquidity, broad product portfolio, market leadership in Europe, restructuring efforts, and potential economies of scale. 

The overall conclusion is that Volkswagen still has the industrial scale and financial strength to remain viable, but only if it adapts faster and more decisively to technological disruption, regulatory change, and geopolitical pressure. At present, the paper concludes that the risks outweigh the opportunities.

Risk analysis of the future of the German Volkswagen brand in relation to social, political and technical changes

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