Modelling The Innovation

The science of graphs and networks is now an established tool for modeling and analyzing systems with a large number of interacting components. The contributions to this anthology address different aspects of the relationship between innovation and networks.

Benoît Godin is a Professor at the Institut national de la recherche scientifique, Montreal. Models abound in science, technology, and society (STS) studies and in science, technology, and innovation (STI) studies. They are continually being invented, with one author developing many versions of the same model over time. At the same time, models are regularly criticized. Such is the case with the most influential model in STS-STI: the linear model of innovation. In this book, Benoît Godin examines the emergence and diffusion of the three most important conceptual models of innovation from the early twentieth century to the late 1980s: stage models, linear models, and holistic models. Godin first traces the history of the models of innovation constructed during this period, considering why these particular models came into being and what use was made of them. He then rethinks and debunks the historical narratives of models developed by theorists of innovation. Godin documents a greater diversity of thinkers and schools than in the conventional account, tracing a genealogy of models beginning with anthropologists, industrialists, and practitioners in the first half of the twentieth century to their later formalization in STS-STI. Godin suggests that a model is a conceptualization, which could be narrative, or a set of conceptualizations, or a paradigmatic perspective, often in pictorial form and reduced discursively to a simplified representation of reality. Why are so many things called models? Godin claims that model has a rhetorical function. First, a model is a symbol of “scientificity.” Second, a model travels easily among scholars and policy makers. Calling a conceptualization or narrative or perspective a model facilitates its propagation.

This monograph provides a new perspective on business modeling in small and medium-sized enterprises (SMEs). It builds on the theoretical framework on innovation and revisits the Zahra and George (2002) model on absorptive capacity and other related works, such as the open innovation approach initiated by Chesbrough (2003). It also introduces a new 'open innovation bridge – a Tangram model' approach to business models that identifies the critical elements of the transactive structure of open innovation business models, especially, in the context of SMEs. The uniqueness of this book lies in the author's development of a gamification perspective and a tool to design open innovation business models.

This open access book encompasses a collection of in-depth analyses showcasing the challenges and ways forward for macroeconomic modelling of R&D and innovation policies. Based upon the proceedings of the EC-DG JRC-IEA workshop held in Brussels in 2017, it presents cutting-edge contributions from a number of leading economists in the field. It provides a comprehensive overview of the current academic and policy challenges surrounding R&D as well as of the state-of-the-art modelling techniques. The book brings to the forefront outstanding issues related to the assessment of the macroeconomic impact of R&D policies and its modelling. It speaks to the rising importance of R&D and innovation policy, and the proliferation of macroeconomic models featuring endogenous technological change. The contents of this book will be of interest to both academic and policy audiences working in the fields of R&D and innovation.

Rooted in strategic management research, Business Model Innovation explores the concepts, tools, and techniques that enable organizations to gain and/or maintain a competitive advantage in the face of technological innovation, globalization, and an increasingly knowledge-intensive economy. Updated with all-new cases, this second edition of the must-have for those looking to grasp the fundamentals of business model innovation, explores the novel ways in which an organization can generate, deliver, and monetize benefits to customers.

Provides a diagnostic tool for readers to assess their business model and usher it through a six-stage continuum toward openness. This book also identifies the barriers to creating open business models (such as the not invented here syndrome and the not sold here virus) and explains how to surmount them.

Creativity can be viewed as the first stage of the overall innovation process, an important dimension of the entrepreneurship and new venture creation processes, and as such, it is considered to be a cornerstone of organizational competitiveness in this global, knowledge-based economy. Research on creativity has increasingly become multilevel, with most work conducted at the individual or team level of analysis. At the same time, there is a large body of research being conducted at the organizational level of analysis on innovation, and there has been a significant amount of entrepreneurship research at the individual level, with an increasing focus on organizational entrepreneurship. However, these three research streams have developed independently, and there has been very little knowledge transfer between the three areas. Because entrepreneurship is often said to be a process that is required to convert innovation into business ventures that will deliver benefits to stakeholders, it is typically driven by an individual or small group of individuals. Creativity research, innovation research, and entrepreneurship research have the potential to inform each other, enriching our knowledge of each area, particularly with regard to the cognitive processes and behaviors that are most effective. This Handbook includes contributions from the leading scholars in these three research areas, who integrate contemporary research findings on organizational creativity, innovation, and entrepreneurship and provide fruitful new research directions."