Digital Business Models In Industrial Ecosystems

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.

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.

A business model basically describes the way a company makes money. Yet, often we use digital services for free (e.g. Facebook, Google or WhatsApp) or for what seems to be a relatively minor price (e.g. Blablacar, Airbnb, and Amazon). Digital business models are different to traditional business models. Digital Business Models explains the key challenges and characteristics of the various business models that are used by digital businesses. These companies can be a source of inspiration for traditional bricks-and-mortar companies that aim to go digital and/or revamp their traditional business model. Most businesses rely on some form of digital technology for their marketing communication, customer relationship management, supply chain or distribution, yet digital transformation entails a complete reassessment of the way value is created and captured. Digital Business Models details the successful customer acquisition tactics and the development of business ecosystems by digital players. Using the relevant academic and managerial body of knowledge, the authors define the concepts, describe the various ways digital businesses create and capture value and propose some useful tools for managers to analyse a situation, formulate or implement a strategy. Different digital business types are evaluated, such as multisided platforms, digital merchants, subscription-based model, freemium, social media and sharing economy. Each chapter is illustrated with several examples and the appendix comprises four full-length case studies.

Digital transformation is not about technology--it's about change. In the rapidly changing digital economy, you can't succeed by merely tweaking management practices that led to past success. And yet, while many leaders and managers recognize the threat from digital--and the potential opportunity--they lack a common language and compelling framework to help them assess it and guide them in responding. They don't know how to think about their digital business model. In this concise, practical book, MIT digital research leaders Peter Weill and Stephanie Woerner provide a powerful yet straightforward framework that has been field-tested globally with dozens of senior management teams. Based on years of study at the MIT Center for Information Systems Research (CISR), the authors find that digitization is moving companies' business models on two dimensions: from value chains to digital ecosystems, and from a fuzzy understanding of the needs of end customers to a sharper one. Looking at these dimensions in combination results in four distinct business models, each with different capabilities. The book then sets out six driving questions, in separate chapters, that help managers and executives clarify where they are currently in an increasingly digital business landscape and highlight what's needed to move toward a higher-value digital business model. Filled with straightforward self-assessments, motivating examples, and sharp financial analyses of where profits are made, this smart book will help you tackle the threats, leverage the opportunities, and create winning digital strategies.

This timely Handbook on Digital Business Ecosystems provides a comprehensive overview of current research and industrial applications as well as suggestions for future developments. Multi-disciplinary in scope, the Handbook includes rigorously researched contributions from over 80 global expert authors from a variety of areas including administration and management, economics, computer science, industrial engineering, and media and communication. Chapters analyze the core areas of digital business ecosystems: strategies, platforms, entrepreneurship, business models, governance, data and technologies as well as sustainability and societal issues. The Handbook also explores a wealth of industry applications. It is the most comprehensive compendium on digital business ecosystems and a fascinating resource. Scholars, students and practitioners from all areas of business administration and management, economics, computer science, industrial engineering, and media and communication interested in digital transformation and digital business ecosystems will find this Handbook invaluable. It is also exemplary for practitioners in manufacturing and logistics, media industries, the health sector, and other service sectors who are seeking solutions to practical issues regarding digital business ecosystems.

A hyperconnected, constantly evolving world has emerged. A world where people (internet of people), things (internet of things), and data (internet of data) are linked together, shaping the global economy while demanding new, innovative approaches for value creation. The era of hyper-connectivity is no longer characterized by centralized firm-centric business structures and traditional intra-firm and inter-firm processes. Open, distributed ecosystemic formations have started to emerge, utilizing cutting edge technologies to harness the collective power, co-creation ability, and intelligence of the crowd, the data, and the environment in an open participatory value co-creation mode. However, the question has become whether the frameworks, models, and tools that organizations use to create value will remain the same in the new business environment and within the organizations themselves. Existing literature on ecosystems, business models, and business model innovation are starting to examine these aspects. Emerging Ecosystem-Centric Business Models for Sustainable Value Creation explores emerging technology-enabled ecosystems and ecosystem-centric business models in theory and practice, from a business and technological perspective, and in a range of industrial settings, aiming to contribute to the existing knowledge of innovative technology-advanced ecosystems and business models, facilitating their design, implementation, and sustainable value creation. It examines the dynamics of this technology-powered revolution and how it is influencing the foundations of value creation and business modeling in novel ecosystemic formations across the HMD triangle: human, machine, and data. The target audience of this book is researchers and professionals in the fields of innovation, business, and strategy as well as computer science and information technology, along with managers, executives, practitioners, researchers, academicians, and students interested in new ways to create value in emerging and future ecosystems via innovative ecosystem-centric business models and strategies.

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.

This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.