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Master's Thesis from the year 2017 in the subject Business economics - Offline Marketing and Online Marketing, grade: 1,3, University of applied sciences, Munich, language: English, abstract: The automotive industry is facing the biggest changes in its more than 100 years of existence. At the end of this decade, the first electric vehicle is going to enter the mass market that can compete on product features, comfort and price with the internal combustion engines. People keep moving into urban areas. The requirements toward future mobility increase. Some countries already decided to prefer electric vehicles to conventional cars. Profits will shift to other markets or segments. Incumbents must align their current strategies to keep their market share in the future and participate in future profit pools of the automotive industry. BMW and Tesla have different strategic approaches to the upcoming changes in the industry. BMW, as many other OEMs, is aware of future challenges and disruptive forces and has much more resources to manage the required investments in R&D than smaller start-ups. However, disruptive forces come from lower functionality and low-cost products that are usually overlooked by dominant firms in an industry. This research analyzes the two automotive companies BMW and Tesla by using the common strategy analysis tools. First, the firms’ external environment is analyzed by using the PESTEL analysis, describing relevant trends that affect the strategic decision of the two companies. An industry overview with future projections is provided. Secondly, an internal analysis is performed. SWOT analysis and the VRIO framework form the basis to define the strengths, weaknesses, unique recourses and capabilities of BMW and Tesla. The conclusion provides an overall discussion of the most important findings emerging from the analysis with regard to the business operations and the existing business models of the two car manufacturers. Furthermore, important implications for the adaption and adjustment processes are discussed.
Ein Bestseller jetzt neu als Broschurausgabe! Die gebundene Ausgabe erzielte hervorragende Kritiken im Daily Telegraph, New Scientist, The Independent und in der Sunday Times - um nur einige zu nennen. Israel hatte erstmals Zugang zu Werkstatt-Tagebüchern, Briefen und mehr als fünf Millionen Seiten Archivmaterial. Auf der Basis dieser Informationen hat er die erste maßgebende Biographie von Edison verfaßt. Zum ersten Mal wird Edisons Karriere als Erfinder systematisch untersucht und bewertet. Im Detail wird erforscht, wie er u.a. mit der Erfindung des elektrischen Lichts, der Photographie und mehr als tausend anderen Dingen das 20. Jahrhundert prägte. Dies ist auch die erste Biographie, die Edison im Zusammenhang mit dem rapiden industriellen Wandel betrachtet, indem die Auswirkungen dieses Wandels auf seine Erfindungen beschrieben werden. Dieses Buch liefert eine Fülle neuer Informationen über Edison und seine Erfindungen. Eine interessante und spannende Lektüre. (y03/00)
What the world can learn from Israel's meteoric economic success. Start-Up Nation addresses the trillion dollar question: How is it that Israel -- a country of 7.1 million, only 60 years old, surrounded by enemies, in a constant state of war since its founding, with no natural resources-- produces more start-up companies than large, peaceful, and stable nations like Japan, China, India, Korea, Canada and the UK? With the savvy of foreign policy insiders, Senor and Singer examine the lessons of the country's adversity-driven culture, which flattens hierarchy and elevates informality-- all backed up by government policies focused on innovation. In a world where economies as diverse as Ireland, Singapore and Dubai have tried to re-create the "Israel effect", there are entrepreneurial lessons well worth noting. As America reboots its own economy and can-do spirit, there's never been a better time to look at this remarkable and resilient nation for some impressive, surprising clues.
This book provides an interdisciplinary account of how technological advances – mainly in the domains of energy and transportation – contribute to the transformation towards a more sustainable economic system. Drawing on methods from engineering, the management sciences and economics, which it combines in the framework of a systems sciences approach, the book presents qualitative and quantitative studies on government regulation, resources management and firms' strategy. Topics covered include the state-market dilemma of government CO2 emission targets, implications of the electrification of the economy, incentives and coercion in government transport policies, and innovations in the electric vehicle industry.
An examination of the greening of the automotive industry by the path dependence of countries and carmakers' trajectories. Three sources of path dependency can be detected: business models, consumer attitudes, and policy regulations. The automobile is changing and the race towards alternative driving systems has started!
This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.
This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".
Popular Science gives our readers the information and tools to improve their technology and their world. The core belief that Popular Science and our readers share: The future is going to be better, and science and technology are the driving forces that will help make it better.
We stand at the cusp of a mobility revolution unlike anything we have seen since the days of Gottlieb Daimler and Henry Ford, 130 years ago.