Evolving Innovation Ecosystems

While emerging technologies create massive opportunity, especially for investors and companies that seek more adaptable forms of economic growth than currently available, value is held inert by traditional approaches, patents, and other closed systems. Yet, open data, content, and information may be the key to mass innovation for future technologies, although they bring difficult challenges to private-industry models that depend on the established ideas of intellectual property. It is from this foundational observation that OpenXFORM (a blending of the words Open and the engineering abbreviation for Transformation) was developed and is explored and described in this book. The intent of the model design is to synthesize an approach to the process of innovation, inspired by natural systems and human-centric design processes. OpenXFORM describes how an open system of innovation can adapt to the unregulated world of information, data, and content; can decompose its own information to release to the open world; and can discover ways to find the points of synergy among the studied and tested methodologies that put human relationships first. This book presents an explicit innovation process that shows how to move from a breakthrough idea through a process that encourages innovative thinkers to test their assumptions, validate hypotheses, and tune and tweak their ideas, not only to drive solutions for users but also to meet the strategic goals of their companies. The anatomy of innovation through OpenXFORM contains the process for moving ideas from a flight of fancy to an explicit concept that is ready to produce.

The Way Forward for Entrepreneurship Around the World We are in the midst of a startup revolution. The growth and proliferation of innovation-driven startup activity is profound, unprecedented, and global in scope. Today, it is understood that communities of support and knowledge-sharing go along with other resources. The importance of collaboration and a long-term commitment has gained wider acceptance. These principles are adopted in many startup communities throughout the world. And yet, much more work is needed. Startup activity is highly concentrated in large cities. Governments and other actors such as large corporations and universities are not collaborating with each other nor with entrepreneurs as well as they could. Too often, these actors try to control activity or impose their view from the top-down, rather than supporting an environment that is led from the bottom-up. We continue to see a disconnect between an entrepreneurial mindset and that of many actors who wish to engage with and support entrepreneurship. There are structural reasons for this, but we can overcome many of these obstacles with appropriate focus and sustained practice. No one tells this story better than Brad Feld and Ian Hathaway. The Startup Community Way: Evolving an Entrepreneurial Ecosystem explores what makes startup communities thrive and how to improve collaboration in these rapidly evolving, complex environments. The Startup Community Way is an explanatory guide for startup communities. Rooted in the theory of complex systems, this book establishes the systemic properties of entrepreneurial ecosystems and explains why their complex nature leads people to make predictable mistakes. As complex systems, value creation occurs in startup communities primarily through the interaction of the "parts" - the people, organizations, resources, and conditions involved - not the parts themselves. This continual process of bottom-up interactions unfolds naturally, producing value in novel and unexpected ways. Through these complex, emergent processes, the whole becomes greater and substantially different than what the parts alone could produce. Because of this, participants must take a fundamentally different approach than is common in much of our civic and professional lives. Participants must take a whole-system view, rather than simply trying to optimize their individual part. They must prioritize experimentation and learning over planning and execution. Complex systems are uncertain and unpredictable. They cannot be controlled, only guided and influenced. Each startup community is unique. Replication is enticing but impossible. The race to become "The Next Silicon Valley" is futile - even Silicon Valley couldn't recreate itself. This book: Offers practical advice for entrepreneurs, community builders, government officials, and other stakeholders who want to harness the power of entrepreneurship in their city Describes the core components of startup communities and entrepreneurial ecosystems, as well as an explanation of the differences between these two related, but distinct concepts Advances a new framework for effective startup community building based on the theory of complex systems and insights from systems thinking Includes contributions from leading entrepreneurial voices Is a must-have resource for entrepreneurs, venture capitalists, executives, business and community leaders, economic development authorities, policymakers, university officials, and anyone wishing to understand how startup communities work anywhere in the world

While intense efforts of clarification have been made to distinguish between the concept of system and ecosystem, and between the different forms of ecosystems, very few works have addressed the issues of how these different forms of ecosystems are interacting in a dynamic perspective, or of how the notion of a dynamic ecosystem could emerge from the static frame of a system approach. The five chapters in this volume precisely aim at adding to this literature by highlighting the interplay between different types of innovation systems. A common thread among the five chapters of the book is the recognition of the need to develop new lenses to formally account for adaptative behaviour within clusters, networks, or regional innovation systems using the ecosystem metaphor. The diversity and heterogeneity of agents, the complexity of relationships, and new forms of organisation (underground, middleground, and upperground) are the main characteristics of innovation ecosystems, in contrast to more traditional concepts like clusters or networks. In essence, the five chapters add various complexity dimensions (relationships, knowledge, systems, etc.) to the existing knowledge on ecosystems. The chapters in this book were originally published as a special issue of the journal Industry and Innovation.

Fransman explains how innovation happens and which factors can help or hinder, by treating innovation as a systemic phenomenon, or ecosystem of players and processes. It will appeal to economists, other social scientists, business people, policy makers, and anyone interested in innovation and entrepreneurship.

This book offers an alternative framework for the creation and evolution of local innovation and entrepreneurship ecosystems in which the central and operational role is led by the university through an Entity that Operates the Ecosystem (EOE). It explains how the university, industry and government actors interact to create ecosystems and how said ecosystems promote the growth and development of local start-ups. It provides researchers, scholars, academics and practitioners with a guide to the construction of innovation and entrepreneurship ecosystems and offers tools to assist in the creation of enterprises from entrepreneurial ideas.

Increasingly, researchers and policymakers alike recognize that innovations are generated by complex and dynamic national ecosystems that include government, industry, universities and schools.

This book offers a comprehensive overview of the dynamics underpinning the successful performance of local innovation systems (LIS), that is, spatial concentration of innovation activities in specific geographical areas, characterized by the synergetic co-localization of research centers, innovation-driven enterprises, large corporations and capital providers. The reader will gain a deeper knowledge of LIS theory and learn about the theoretical and empirical challenges of studying the LIS from a relational perspective. The book also provides an analytical framework to explore the level of connectivity among LIS actors through the use of social network analysis (network architecture) and second, to assess the variety of different types of relationships that local actors put in place to produce innovation within the LIS (network portfolio). More specifically, this book explores which network configuration is associated with a successful LIS by deriving evidence from the empirical study of the biopharma LIS in the Greater Boston Area (GBA), which has been exemplified as a benchmark case in terms of successful LIS performance. This book also contributes to the theoretical debate about the optimal configuration of network structure (e.g. network closure vs. network openness). In capturing the heterogeneous nature of the LIS demography, it addresses the challenges brought about by the adoption of a holistic approach. Finally, the study provides insights into the network portfolio composition, which has been underexplored by extant literature. Besides addressing the scientific community in the field, this book will also be a valuable resource with practical implications for policymakers and those actors willing to undertake an active role in the development of an LIS in their own regions.

This monograph puts forward the argument that KIE enables a modern view of entrepreneurship that links the intense use of knowledge by new ventures with an intense innovative activity related to the economy and markets.