In contemporary global capitalism, the most powerful corporations are innovation or intellectual monopolies. The book’s unique perspective focuses on how private ownership and control of knowledge and data have become a major source of rent and power. The author explains how at the one pole, these corporations concentrate income, property and power in the United States, China, and in a handful of intellectual monopolies, particularly from digital and pharmaceutical industries, while at the other pole developing countries are left further behind. The book includes detailed empirical mappings of how intellectual monopolies develop and transform knowledge from universities and open-source collaborations into intangible assets. The result is a strategy that combines undermining the commons through privatization with harvesting from the same commons. The book ends with provoking reflections to tilt the scale against intellectual monopoly capitalism and arguing that desired changes require democratic mobilization of workers and citizens at large. This book represents one of the first attempts to capture the contours of an emerging new era where old perspectives lead us astray, and the old policy toolbox is hopelessly inadequate. This is true for the idea that the best, or only, way to promote innovation is to transform knowledge into private property. It is also true for anti-trust policies focusing exclusively on consumer prices. The formation of global infrastructures that lead to natural monopolies calls for public rather than private ownership. Scholars and professionals from the social sciences and humanities (in particular economics, sociology, political science, geography, educational science and science and technology studies) will enjoy a clear and all-embracing depiction of innovation dynamics in contemporary capitalism, with a particular focus on asymmetries between actors, regions and topics. In fact, its topical issue broadens the book’s scope to those curious about how innovation networks shape our world.

In contemporary global capitalism, the most powerful corporations are innovation or intellectual monopolies. The book’s unique perspective focuses on how private ownership and control of knowledge and data have become a major source of rent and power. The author explains how at the one pole, these corporations concentrate income, property and power in the United States, China, and in a handful of intellectual monopolies, particularly from digital and pharmaceutical industries, while at the other pole developing countries are left further behind. The book includes detailed empirical mappings of how intellectual monopolies develop and transform knowledge from universities and open-source collaborations into intangible assets. The result is a strategy that combines undermining the commons through privatization with harvesting from the same commons. The book ends with provoking reflections to tilt the scale against intellectual monopoly capitalism and arguing that desired changes require democratic mobilization of workers and citizens at large. This book represents one of the first attempts to capture the contours of an emerging new era where old perspectives lead us astray, and the old policy toolbox is hopelessly inadequate. This is true for the idea that the best, or only, way to promote innovation is to transform knowledge into private property. It is also true for anti-trust policies focusing exclusively on consumer prices. The formation of global infrastructures that lead to natural monopolies calls for public rather than private ownership. Scholars and professionals from the social sciences and humanities (in particular economics, sociology, political science, geography, educational science and science and technology studies) will enjoy a clear and all-embracing depiction of innovation dynamics in contemporary capitalism, with a particular focus on asymmetries between actors, regions and topics. In fact, its topical issue broadens the book’s scope to those curious about how innovation networks shape our world.

The disruptive potential of technologies such as Artificial Intelligence (AI), blockchain, the Internet of Things (IoT), and biotechnology catalysts redefine traditional business models and serve as instrumental forces in attracting venture capital investments. The lower barriers to entry, facilitated by these disruptive technologies, empower entrepreneurs to bring their ideas to market, creating a more accessible landscape for funding and innovation. Fostering Innovation in Venture Capital and Startup Ecosystems explores this transformative intersection, where emerging technologies catalyze change, fuel innovation, and redefine the dynamics of financial investments and entrepreneurial endeavors. Moreover, the book delves into how embracing AI, IoT, blockchain, and augmented reality/virtual reality can expedite innovation, enhance efficiency, and scale businesses. Through a multidisciplinary lens, readers understand how these technologies influence established markets, drive economic growth, and create job opportunities. This book is ideal for venture capitalists, angel investors, entrepreneurs, startup founders, and policymakers.

In recent decades, there has been many attempts to describe, explore, and explain the new ‘post-modern’ capitalism of the twenty-first century. In this context, this book looks at one of the most exciting strands of this research in the late twentieth century: the flexible specialisation research programme (FSRP). Drawing on the history of ideas, discourse, and literature on capitalism of the last four decades, this book shows that although ‘flexible specialisation’ anticipated some of the ways in which capitalism was being transformed in the late twentieth century, they underestimated and failed to anticipate the forms of ‘creative destruction’ and corporate digital control which were becoming embedded in the global capitalist accumulation dynamic itself. The sudden disappearance of the Soviet Union and the ‘end of history’ failed to open up the pathway for new forms of modern social democracy but gave rise instead to the new digital Behemoths. Today, the classical tendencies of capitalism as anticipated by Marx are all too present and, despite talk of ‘post-capitalism’ and ‘digital/techno-feudalism’, the landscape of monopolyfinance capital has consolidated itself. The book counterposes the FSRP with the various Marxist interpretations of the capitalist transition, together with the wider social and economic theories that emerged in the first decades for the twenty-first century around, for example, the ‘great acceleration’, de-growth, and post-growth. This book will be of interest to all readers concerned with heterodox political economy, critical social theory, intellectual history, and, above all, the prospects for social transformation leading to social justice and an ‘egalitarian enlightenment’.

Shows how the digital revolution, sponsored by government and funded by speculation, now challenges the authority and legitimacy of the state.

This book analyses how key 'systems integration' technical pressures, and the increasing use of collaborative alliances for market and product development are impacting on the socio technical policy directives of Chinese State leaders and the strategic behaviour of key Chinese high technology firms operating in the global wireless sector.

This work shows that business investment in knowledge-based capital is a key to future productivity growth and living standards and sets out recommendations in the fields of: innovation; taxation; entrepreneurship and business development; corporate reporting; big data; competition and measurement.

The funding of innovative projects that are fundamentally ambiguous often leads to situations where decision-making is difficult. However, decision-making can be improved by practices such as syndication and step-by-step funding. The dynamic of this industry requires us to consider the economic and institutional variables that make this system coherent in English-speaking countries, but conversely reduce it to a privileged niche by the leading authorities in Europe and France. This book proposes two guiding ideas. The first idea presents innovation as a very uncertain process. This modifies the decision-making in the entrepreneurial ecosystem, with intervention upstream in regards to stronger foundations, evaluations and selection of projects. The second idea is that the actors hold onto partial knowledge in a context where their attention span is limited. These cognitive limitations need the formation of networks, and lead to mutual and complementary dependency relations.