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Co-innovation Dynamics by Romaric Servajean-Hilst Pdf
Over the last 30 years, the pace of innovation has exploded while available resources have become increasingly scarce. Open Innovation is the solution, with client–supplier relationships being the main expedient. However, collaborating in innovation is full of obstacles, from uncertainties in innovation as a whole to difficulties with managing a business relationship. Co-innovation Dynamics, based on a deep-dive ethnographic inquiry enlightened by state-of-the-art management research, presents the daily life story of a collaborative innovation project. Also, based on two other qualitative and quantitative studies on co-innovation management, this book offers lessons and tips on how to manage the dynamics of collaborative innovation in the client–supplier relationship.
Co-innovation Dynamics by Romaric Servajean-Hilst Pdf
Over the last 30 years, the pace of innovation has exploded while available resources have become increasingly scarce. Open Innovation is the solution, with client–supplier relationships being the main expedient. However, collaborating in innovation is full of obstacles, from uncertainties in innovation as a whole to difficulties with managing a business relationship. Co-innovation Dynamics, based on a deep-dive ethnographic inquiry enlightened by state-of-the-art management research, presents the daily life story of a collaborative innovation project. Also, based on two other qualitative and quantitative studies on co-innovation management, this book offers lessons and tips on how to manage the dynamics of collaborative innovation in the client–supplier relationship.
Mastering the Dynamics of Innovation by James M. Utterback Pdf
In developing this model, Utterback examines industries over long periods of time to discover patterns in the way innovation is introduced, adopted, and then replaced by yet further innovation.
Firm Innovation and Productivity in Latin America and the Caribbean by Inter-American Development Bank,Matteo Grazzi,Carlo Pietrobelli Pdf
This volume uses the study of firm dynamics to investigate the factors preventing faster productivity growth in Latin America and the Caribbean, pushing past the limits of traditional macroeconomic analyses. Each chapter is dedicated to an examination of a different factor affecting firm productivity - innovation, ICT usage, on-the-job-training, firm age, access to credit, and international linkages - highlighting the differences in firm characteristics, behaviors, and strategies. By showcasing this remarkable heterogeneity, this collection challenges regional policymakers to look beyond one-size-fits-all solutions and create balanced policy mixes tailored to distinct firm needs. This book is open access under a CC BY-NC-ND 3.0 IGO license.
The Social Dynamics of Innovation Networks by Roel Rutten,Paul Benneworth,Dessy Irawati,Frans Boekema Pdf
The social dynamics of innovation networks captures the important role of trust, social capital, institutions and norms and values in the creation of knowledge in innovation networks. In doing so, this book connects to a long-standing debate on the socio-spatial context of innovation in economic geography, which is usually referred to as the Territorial Models of Innovation (TIMs) literature. This present volume breaks with the TIM literature in several important ways. In the first place, this book emphasizes the role of individual agency because individuals and their networks are increasingly recognized as the principal agents of knowledge creation. Secondly, this volume looks at space as a continuous field of opportunity rather than as bounded territory with a set of endowments, such as knowledge base and social capital. Although individually these elements are not new to the TIM literature, it has thus far failed to grasp their critical implication for studying the social dynamics of innovation networks. The approach to the socio-spatial context of innovation in this volume is summarized as Knowledge Economy 2.0. It emphasizes that human creativity is now the main source of economic value and that human creativity and knowledge creation is not an organized process within organizations, but happens bottom up in formal and informal professional and social networks of individuals that cut across multiple organizations.
This book expands the concept of open innovation from a static strategic idea to a dynamic principle. It details various, underexplored aspects of this concept, including the culture for necessary open innovation dynamics, the difference between James Watt and Steve Jobs, and collective intelligence as a new category of open innovation. It specifically considers open innovation within the context of micro- and macro-dynamics of economics.
The New Asian Innovation Dynamics by Govindan Parayil,Anthony P. D'Costa Pdf
This empirically and conceptually rich volume identifies the emerging dynamics in the broader areas of science, technology and R&D in China and India by identifying the principal forces and actors at work that shape the new global division of labour in the internationalization of technology and innovation.
The Dynamics of Innovation and Interfirm Networks by Victor Gilsing Pdf
"Academics, specifically those interested in the dynamic interaction between networks and innovation, will find this book of great interest, as will policy makers and management practitioners."--BOOK JACKET.
Service Science Research, Strategy and Innovation: Dynamic Knowledge Management Methods by Delener, N. Pdf
"This book explores areas such as strategy development, service contracts, human capital management, leadership, management, marketing, e-government, and e-commerce"--Provided by publisher.
INTEGRATING DIVERSITY, COOPERATION, AND INNOVATION: a framework for modern management by Michał Jasieński Pdf
When writing this book I aim to accomplish several goals. First, I would like to show that building a cooperative environment for a diverse workforce is a crucial antecedent to any attempts at building innovativeness. Diversity expresses itself in various forms. It may be the fact that men and women may have different creative sensitivities (Chapter 11), or that the employees differ in their views on the importance of various components of the business model (Chapter 3), or that different employee groups or different companies employ different strategies with respect to innovation management (Chapter 7). Being aware of these sources of diversity may be of practical importance for thoughtful managers. Second, the heuristic methods described in Chapters 4, 10, and 11 are well suited for managerial practice, since they are the tools ready to be implemented in everyday work, when the need arises to stimulate employees’ innovativeness. Several hundred original examples provided in these chapters are meant to serve either as direct triggers of creativity (Appendix to Chapter 11) or potentially useful cases to enrich one’s thinking about their problems to be solved (examples of the TRIZ method in Appendix to Chapter 4 and examples of the SCAMPER method in Appendix to Chapter 10). Third, modeling innovation dynamics using game theory (Chapter 7) and quantifying within-organization diversity with methods that are borrowed from community ecology, open novel opportunities for researchers in the area of management (Chapter 3). The existence of team roles creates a natural organizational setting through which plurality of employee views on the main business model of the organization are expressed. Since each team role has a unique view on the importance of particular components of the business model, an informal but very dynamic diversity of business models co-existing in the organization arises. I adopt quantitative concepts and methods from ecology to show how the diversity of team-role views can be assessed. Furthermore, the same method can be used to capture the diversity of views on business models among individual employees, especially at managerial and executive level. In a turbulent business environment an organization’s flexibility may be improved by internal diversity of the ways its business model is implemented. Finally, several topics may be used in the educational context, with very low barriers to entry for the student users. Reciprocity as a mechanism promoting cooperation and building trust (Chapters 2 and 3) is, in my view, a fundamental concept when teaching about organizational behavior. Game theory is useful in strategic management. The heuristic methods mentioned above are key to implementing a very effective approach in creative thinking and innovation management courses.
The Dynamics of Innovation in Eastern Europe by Per Högselius Pdf
Providing a unique empirical analysis of how systems of innovation undergo far-reaching transformation and change, this book will be of interest to economists and scholars involved in issues relating to innovation, technology, economic development and East-West integration. Policymakers in the EU and in Central and East European countries and practitioners involved in innovation-related activities will also find it of great appeal.
Artificial Intelligence for Knowledge Management by Eunika Mercier-Laurent Pdf
This book features a selection of extended papers presented at the 6th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2018, held in Stockholm, Sweden, in July 2018, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2018. The 11 revised and extended papers were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.
Simulating Knowledge Dynamics in Innovation Networks by Nigel Gilbert,Petra Ahrweiler,Andreas Pyka Pdf
The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity. This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co‐operations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research. Following a general description of the SKIN model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models’ structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies.
Co-Evolution of Standards in Innovation Systems by Stefan N. Grösser Pdf
Mitigating climate change is one of the most profound challenges facing humankind. In industrialized countries, the residential housing sector produces roughly one-fourth of the greenhouse gas emissions. One solution to reduce these emissions is the availability of building codes that require high levels of energy efficiency. Given the current scientific knowledge, more research is needed to gain a proper systemic understanding of the underlying socio-economic and technical system. Such an understanding is crucial for developing high energy-efficiency standards because this system develops gradually over time and cannot be changed swiftly. This book creates a feedback-rich simulation model for analyzing the effects of different administrative policies on energy demand, the improvement of energy efficiency by means of building codes, and reductions in the greenhouse gas emissions. The dynamic model can contribute substantially to the discourse on energy policies and guide effective administrative interventions. The book will be a valuable resource for officials in the public energy administration, as well as researchers in the areas of innovation, diffusion processes, co-evolution, standardization, and simulation modelling.
