In this essential you will learn how to use the changed rules of the game of Industry 4.0 and discover patterns for new business models. Reinhard Ematinger shows you how to describe your current business model in a structured way, sketch and test new business models and define the benefits for existing and new customers. Real and current examples accompany you through this book and questions support you in the transfer to application in your organization. This Springer essential is a translation of the original German 1st edition essentials, Von der Industrie 4.0 zum Geschäftsmodell 4.0 by Reinhard Ematinger, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2018.The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

In recent years, digital business models have frequently been the subject of academic and practical discourse. The increasing interconnectivity across the entire supply chain, which is subsumed under the term Industry 4.0, can unlock even farther-reaching potentials for digital business models, affecting entire supply chains and ecosystems. This book examines the specific challenges and obstacles that supply chain and ecosystem management poses with regard to the development of digital business models. The top-quality contributions gathered here focus on the successful implementation of Industry 4.0 in digital business models for industrial organizations in a European context, making the book a valuable asset for researchers and practitioners alike.

This book provides a practical guide to digital supply chain modelling, demonstrating an agile approach to how such models can be applied to any manufacturing company to build competitive advantage, facilitate new business models and drive towards Industry 4.0. The agile approach of the book provides an attractive alternative to the conventional country-by-country deployment of S/4 HANA and other relevant technologies. This book contains the expertise Gotz G. Wehberg has amassed over 20 years as a senior partner in a leading consulting company, working across industries and with globally recognized clients, advising on digitization. In it, he explains the scientific roots of digital supply chain management such as holism, cybernetics, self-organization and evolutionary theory to inform a deep understanding that can drive a supremely innovative strategy for Industry 4.0. Beyond strategy, Wehberg introduces the practical tools and technologies used in supply chain modelling, for example, sensors, big data, artificial intelligence and the Internet of Things, as well as a reference framework that categorizes the technologies, together with the latest concepts and tools, such as DDMRP, predictive S&OP, pattern recognition, autonomous logistics and Lean. This framework supports decision making for developing supply chains in an end-to-end and cross-functional fashion, providing clear guidance for executives and managers on how to design supply chains for the future.

"This book focuses on organizational tools and practices that may foster a company's success in the new economic context, which is defined by the faster pace of technological progress and the entrance of Generation Z on the labor market"--

Utilizing Industry 4.0 technologies is essential to meet consumer expectations of personalized products and services but not without obstacles and challenges. This book provides comprehensive knowledge on the operating conditions and challenges of small- and medium-sized enterprises operating in the era of Industry 4.0 and proposes a Business Model 4.0 concept. The authors provide insights on the general conditions for the development of Economy 4.0 and Society 5.0, the expectations of modern consumers in product personalization, customization, servitization and the SME sector's requirements. In addition, the book offers a business model of cooperation between enterprises and the concept of rapid network prototyping methodology for the implementation of personalized products. It proposes the creation of e-business platforms that will allow for better integration of the customer with the manufacturer and the possibility of greater involvement in product configurations. The empirical research offered in this book will provide valuable insights for scholars and upper-level students across business disciplines, including strategic management, entrepreneurship, technology and innovation management.

Technological advancements are contributing to shape future business models and the industrial scenario. Companies face the challenge of having to adapt to the frequently shifting technology landscape. Therefore, organizations must exploit technological advances to thrive in the digital revolution. This book presents and discusses emerging digital business models in the Industry 4.0. These models are illustrated with real case studies and include data-driven, platform, smart factory and servitization among others. The book introduces a detailed classification to help organizations to redesign their current business models and discusses how to gain unique competitive advantages. The book includes not only theoretical concepts to understand the context of digital transformation but also an assessment framework to enable and support innovation in organizations and create new revenue streams. The book will be of interest to students and professionals alike who want to understand the core of the Industry 4.0.

In order to improve competitiveness and performance, corporations must embrace advancements in digitalization. Successful implementation of knowledge management is a huge factor in corporate success. Analyzing the Impacts of Industry 4.0 in Modern Business Environments is a critical scholarly publication that explores digital transformation in business environments and the requirement for not only a substantial management change plan but equally the two essential components of knowledge management: knowledge sharing and knowledge transfer. Featuring a broad range of topics such as strategic planning, knowledge transfer, and cybersecurity risk management, this book is geared toward researchers, academicians, and students seeking current and relevant research on organizational knowledge intensity and monitoring of knowledge management development.

Business innovation and industrial intelligence are paving the way for a future in which smart factories, intelligent machines, networked processes and Big Data are combined to foster industrial growth. The maturity and growth of instrumentation, monitoring and automation as key technology drivers support Industry 4.0 as a viable, competent and actionable business model. This book offers a primer, helping readers understand this paradigm shift from industry 1.0 to industry 4.0. The focus is on grasping the necessary pre-conditions, development & technological aspects that conceptually describe this transformation, along with the practices, models and real-time experience needed to achieve sustainable smart manufacturing technologies. The primary goal is to address significant questions of what, how and why in this context, such as:What is Industry 4.0?What is the current status of its implementation?What are the pillars of Industry 4.0?How can Industry 4.0 be effectively implemented?How are firms exploiting the Internet of Things (IoT), Big Data and other emerging technologies to improve their production and services?How can the implementation of Industry 4.0 be accelerated?How is Industry 4.0 changing the workplace landscape?Why is this melding of the virtual and physical world needed for smart production engineering environments?Why is smart production a game-changing new form of product design and manufacturing?

Digital technologies have allowed for the proliferation of new business models, something that has attracted the attention of academic research. Much of this research has focused on (i) understanding what a business model is and its theoretical connection to the concept of strategy, and (ii) exploring what business model innovation is and what its sources and outcomes are. Less work has gone into studying the issues that established firms face in business model innovation – such as how to respond to the arrival of a disruptive business model in one's industry, or how to compete with dual business models or how to migrate from one business model to another. This Element approaches the topic of business model innovation from the perspective of the established firm and examines the unique strategic and organizational issues that big, established companies face when a new business model enters their markets.

Business Model Generation is a handbook for visionaries, game changers, and challengers striving to defy outmoded business models and design tomorrow's enterprises. If your organization needs to adapt to harsh new realities, but you don't yet have a strategy that will get you out in front of your competitors, you need Business Model Generation. Co-created by 470 "Business Model Canvas" practitioners from 45 countries, the book features a beautiful, highly visual, 4-color design that takes powerful strategic ideas and tools, and makes them easy to implement in your organization. It explains the most common Business Model patterns, based on concepts from leading business thinkers, and helps you reinterpret them for your own context. You will learn how to systematically understand, design, and implement a game-changing business model--or analyze and renovate an old one. Along the way, you'll understand at a much deeper level your customers, distribution channels, partners, revenue streams, costs, and your core value proposition. Business Model Generation features practical innovation techniques used today by leading consultants and companies worldwide, including 3M, Ericsson, Capgemini, Deloitte, and others. Designed for doers, it is for those ready to abandon outmoded thinking and embrace new models of value creation: for executives, consultants, entrepreneurs, and leaders of all organizations. If you're ready to change the rules, you belong to "the business model generation!"