This handbook looks to provide academics and students with a comprehensive and holistic understanding of the phenomenon of innovation. Innovation spans a number of fields within the social sciences and humanities: Management, Economics, Geography, Sociology, Politics, Psychology, and History. Consequently, the rapidly increasing body of literature on innovation is characterized by a multitude of perspectives based on, or cutting across, existing disciplines and specializations. Scholars of innovation can come from such diverse starting points that much of this literature can be missed, and so constructive dialogues missed. The editors of The Oxford Handbook of Innovation have carefully selected and designed twenty-one contributions from leading academic experts within their particular field, each focusing on a specific aspect of innovation. These have been organized into four main sections, the first of which looks at the creation of innovations, with particular focus on firms and networks. Section Two provides an account of the wider systematic setting influencing innovation and the role of institutions and organizations in this context. Section Three explores some of the diversity in the working of innovation over time and across different sectors of the economy, and Section Four focuses on the consequences of innovation with respect to economic growth, international competitiveness, and employment. An introductory overview, concluding remarks, and guide to further reading for each chapter, make this handbook a key introduction and vital reference work for researchers, academics, and advanced students of innovation. Contributors to this volume - Jan Fagerberg, University of Oslo William Lazonick, INSEAD Walter W. Powell, Stanford University Keith Pavitt, SPRU Alice Lam, Brunel University Keith Smith, INTECH Charles Edquist, Linkoping David Mowery, University of California, Berkeley Mary O'Sullivan, INSEAD Ove Granstrand, Chalmers Bjorn Asheim, University of Lund Rajneesh Narula, Copenhagen Business School Antonello Zanfei, Urbino Kristine Bruland, University of Oslo Franco Malerba, University of Bocconi Nick Von Tunzelmann, SPRU Ian Miles, University of Manchester Bronwyn Hall, University of California, Berkeley Bart Verspagen , ECIS Francisco Louca, ISEG Manuel M. Godinho, ISEG Richard R. Nelson, Mario Pianta, Urbino Bengt-Ake Lundvall, Aalborg

The Oxford Handbook of Innovation

Open Innovation: The New Imperative for Creating and Profiting from Technology

Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives

Presentacio sobre l'Oficina de Proteccio de Dades Personals de la UAB i la politica Open Science. Va formar part de la conferencia "Les politiques d'Open Data / Open Acces: Implicacions a la recerca" orientada a investigadors i gestors de projectes europeus que va tenir lloc el 20 de setembre de 2018 a la Universitat Autonoma de Barcelona

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General data protection regulation

The Lean Startup: How today's entrepreneurs use continuous innovation to create radically successful businesses

EU industry accounts for 15% of European value added and the industrial sector plays the role of a key driver for research, innovation, productivity, job creation and exports. One important measure in order to stop the decline of Europe’s global industrial position is represented by Industry 4.0 aiming for the implementation of smart production and logistics. Industry 4.0 touches the entire supply chain comprising product design and development, operations management and logistics and by doing so new business models and structures are required. Currently, companies start to practice first steps in 3D printing, production in networks and smart logistics and begin to develop new organisational structures and business models to benefit more from the opportunities that the new technology offers. Empirical evidences of successful companies reveals that the new business models are oriented rather on service design, open innovation and network approaches than on the traditional concepts of industrial enterprises. Consequently, traditional industrial companies have to rethink and to renew their business structures and models in parallel with the ongoing implementation of Industry 4.0 to use the new opportunities. The main focus of Industry 4.0 is laid on the fusion of the virtual and the physical world so that also new concepts are required for managing information and business administration tasks in the context of Industry 4.0. One big step towards the implementation of such a concept is embodied by the Estonian concept of “e-Residency”, which might be an appropriate e-business approach especially when taking into account the needs of internationally operating entrepreneurs and SME’s. The paper addresses the research question of how new and sustainable business models and structures for Industry 4.0 might look like and in which direction existing traditional business concepts have to be developed to deploy a strong business impact of Industry 4.0. By focussing on the needs of entrepreneurs and SME sector the paper also discusses why e-residency might be the appropriate concept in the context of Industry 4.0.

Sustainable business models and structures for industry 4.0

Re-industrialization enjoys a renaissance in Western economies due to the role of the industrial sector for innovation, productivity, and job creation. A very promising approach to bring back competitiveness in production seems to be the fusion of the virtual and the real world leading to smart manufacturing and logistics concepts. In Germany, the leading industrial country in the European Union this approach has been called " Industry 4.0 " aiming to develop cyber-physical systems (CPS) and dynamic production networks in order to achieve flexible and open value chains in manufacturing of complex mass customization products in small series. Currently, manufacturing companies gaining experiences in production in networks and smart logistics and develop new organisational structures and business models which better benefit from the new technologies and which adapt faster to the rapidly changing network environments. The modern manufacturing models embrace modular and fractal approaches as well as network-orientation, flexibility and responsiveness. The paper investigates the relationship between networking, organizational development, structural frame conditions and sustainability in the context of Industry 4.0. The research is empirically validated by using data samples from a business reengineering project in an internationally operating high-tech manufacturing enterprise located in Estonia. The empiric analysis is based on semi-structured expert interviews and secondary data together with a case study approach.

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On sustainable production networks for Industry 4.0

Autonomously driving delivery robots are developed all around the world, and the first prototypes are tested already in last-mile deliveries of packages. Estonia plays a leading role in this field with its, start-up Starship Technologies, which operates not only in Estonia but also in foreign countries like Germany, Great Britain, and the United States of America (USA), where it seems to provide a promising solution of the last-mile problem. But the more and more frequent appearance of delivery robots in public traffic reveals shortcomings in the regulatory framework of the usage of these autonomous vehicles—despite the maturity of the underlying technology. The related regulatory questions are reaching from data protection over liability for torts performance to such mundane fields as traffic law, which a logistic service provider has to take into account. This paper analyses and further develops the regulatory framework of autonomous delivery robots for packages by highlighting legal implications. Since delivery robots can be understood as cyber-physical systems in the context of Industry 4.0, the research contributes to the related regulatory framework of Industry 4.0 in international terms. Finally, the paper discusses future perspectives and proposes specific modes of compliance.

On the Regulatory Framework for Last-Mile Delivery Robots

Smart Contracts for Smart Supply Chains

Understanding internal sources of competitive advantage has become a major area of research in strategic management. Resources are a business's assets, capabilities are the ability to exploit its resources, and competency is a cross-functional integration and coordination of capabilities. But the problem of not understanding what is really meant by resources, competencies, and capabilities still arises. Toward understanding what is really meant, MEKTORY - business model generation competition case studies are analysed. The main purpose to develop a better understanding has reached. It can be stated that the overarching goal of strategic management and also business model generating is creating and capturing value for core stakeholders. Strategy is here defined as a series of goal-directed plans and activities that align a business's structure, culture, and resources with the opportunities and threats in its environment. The main implication of the current research is the understanding that resources are always means, competencies powers, and capabilities abilities. Methodologically the research is valuable used modern text analytics for an innovative way to present, and to garner deeper insight from text. It is recommended that further research should include evolutionary approaches, which are not explicitly used as a theoretical framework in strategic management. Further normative value research might investigate what should be the ownership values for successful companies.

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Gunnar Prause

Papers

Sustainable business models and structures for industry 4.0

On sustainable production networks for Industry 4.0

On the Regulatory Framework for Last-Mile Delivery Robots

Smart Contracts for Smart Supply Chains

Toward understanding resources, competencies, and capabilities: business model generation approach