Digital Business Models in Industrial Ecosystems PDF Download

Author: Kai-Ingo Voigt
Publisher: Springer Nature
ISBN: 3030820033
Category : Business & Economics
Languages : en
Pages : 247

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Book Description
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.

Author: Peter Weill
Publisher: Harvard Business Press
ISBN: 163369271X
Category : Business & Economics
Languages : en
Pages : 167

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Book Description
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.

Author: Edward Curry
Publisher: Springer Nature
ISBN: 3030681769
Category : Computers
Languages : en
Pages : 399

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Book Description
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.

Author: Xenia Ziouvelou
Publisher:
ISBN: 9781799848431
Category : Business & Economics
Languages : en
Pages : 335

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Book Description
"This book explores emerging technology-enabled ecosystems and ecosystem-centric business models in theory and practice from a business and technological perspective"--

Author: Angelo Corallo
Publisher: Edward Elgar Publishing
ISBN: 1781009929
Category : Business & Economics
Languages : en
Pages : 265

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Book Description
By bringing together elements of a radical new approach to the firm based on a biological metaphor of the ecosystem, this unique book extends the limits of existing theories traditionally used to investigate business networks.

Author: Ronny Baierl
Publisher: Springer
ISBN: 3030201384
Category : Business & Economics
Languages : en
Pages : 208

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Book Description
Digital technologies have become a new economic and social force, reshaping traditional business models, strategies, structures, and processes. Digital entrepreneurship, which focuses on creating new ventures and transforming existing businesses by developing novel digital technologies or their novel usage, is seen as a critical pillar for economic growth, job creation, and innovation by many countries. Further, digital technologies have also enabled the growth of the sharing economy, linking owners and users and disrupting the previous dualism of businesses and customers.This volume discusses the management of new technology-based firms and technology projects initiated in academic or industrial contexts. The contributions feature new theoretical concepts, ethical considerations, empirical data analysis (qualitative and quantitative), archival and historical methods, design science approaches, action and field research, as well as management science methods, informatics and cybernetics.

Author: Sabine Baumann
Publisher: Edward Elgar Publishing
ISBN: 1035301008
Category : Business & Economics
Languages : en
Pages : 439

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Book Description
This timely Handbook examines the rapidly expanding research area of digital platforms and business ecosystems in the context of manufacturing industries. Chapters analyze core topics such as business model transformation, ecosystem design, and governance, offering an up-to-date overview of crucial research.

Author: Annabeth Aagaard
Publisher: Springer
ISBN: 3319969021
Category : Business & Economics
Languages : en
Pages : 280

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Book Description
This innovative edited collection explores digital business models (DBMs) in theory and practice to contribute to knowledge of how companies, organizations and networks can design, implement and apply DBMs. It views DBMs in a range of contexts and forms, which can be integrated in a number of ways, and aims to inspire and enable academics, students and practitioners to seize the opportunities posed by digital business models, technologies and platforms. One of the first and comprehensive contributions to the field of DBMs and digital business model innovations (DBMI), the authors discuss the opportunities, challenges, technologies, implementation and value creation, customer and data protection processes of DBMs in different contexts.

Author: Sumesh Singh Dadwal
Publisher: Springer Nature
ISBN: 303097877X
Category : Business & Economics
Languages : en
Pages : 574

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Book Description
Many scholars have argued that technology, entrepreneurship, integrated business models and marketing are key to the success of any business, but in particular to the success of unicorn companies. However, there is a need to further investigate interdisciplinary approaches to techno entrepreneurial business strategy, which remains a neglected area of research. In this edited volume, authors explore and develop principles, models and other theoretical and practical concepts to develop better guidance on how to adapt business models using new technologies such as AI, cloud computing, blockchain, cybersecurity, and infrastructure. Underpinned by established academic theories, the book explores integrated business models that are both defensive and offensive in strategic outlook. Ultimately, it will help students, researchers and entrepreneurs to design, develop and implement technology-enabled integrated business models.

Author: Mohan Subramaniam
Publisher: MIT Press
ISBN: 0262046997
Category : Business & Economics
Languages : en
Pages : 314

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Book Description
How legacy firms can combine their traditional strengths with the power of data and digital ecosystems to forge a new competitive strategy for the digital era. How can legacy firms remain relevant in the digital era? In The Future of Competitive Strategy, strategic management expert Mohan Subramaniam explains how firms can leverage both their traditional strengths and the modern-day power of data and digital ecosystems to forge a new competitive strategy. Drawing on the experiences of a range of companies, including Caterpillar, Sleep Number, and Whirlpool, he explains how firms can benefit from data’s enlarged role in modern business, develop digital ecosystems tailored to their unique business needs, and use new frameworks to harness the power of data for competitive advantage. Subramaniam presents digital ecosystems as a combination of production and consumption ecosystems, which can be used by legacy firms to unlock the value of data at various levels—from improving operational efficiencies to creating new data-driven services and transforming traditional products into digital platforms. He explores the ways sensors and the Internet of Things provide new kinds of customer data; presents the concept of digital competitors—other firms that have access to similar data; discusses the new digital capabilities that firms need to develop; and addresses privacy and security issues associated with data sharing. Who needs this book? Any firm that wants to revitalize traditional business models, offer a richer customer experience, and expand its competitive arena into new digital ecosystems.