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Introduction to Technological Innovation Systems Research

Delve into the evolution and criticisms of Technological Innovation Systems (TIS) research, exploring core elements, actors, and processes while addressing recent developments and the field's vibrant future. Discover the system's origin, assumptions, core elements, criticisms, and its relevance to industry formation, market dynamics, and policy implications. Engage with the dynamic landscape of TIS studies, from regional to global perspectives, reflecting on its relevance in shaping value chains and technological systems. Uncover the intricate balance between actors, networks, and institutions in fostering innovation and systemic transformation.

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Introduction to Technological Innovation Systems Research

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  1. Introduction to Technological Innovation Systems Research Bernhard Truffer Newcomers session, IST Ottawa, 23.6.2019

  2. 1. Origin and ontological assumptions of TIS research • Guiding research question of IS research • What conditions are essential for successfully generating innovations by companies, regions, countries? Especially in phases of early industry formation. • Origin of the broader innovation systems perspective • New realities in the 1980ies about Japan gaining industrial competitivness over US and Germany • Counter theory against neo-liberal explanation: it is all in the institutions! • First analysis of National Innovation Systems (OECD, Freeman, Lundvall) • Later formulation of variants: regional , sectoral, technological innovation systems • Sharif 2006; Weber and Truffer 2017 • Core assumptions compared to a neo-classical approach • Core actors: companies/consumers vs. broad range of actors • Coordination: through markets vs. through networks, institutions and intermediation • Barriers: state/market failures vs. system failures (capability, coordination, institutional)

  3. Actors Networks Institutions 2. Core elements and assumptions of TIS studies • Conceptual Dimensions of TIS • System elements (structures) • Actors, networks, institutions • System boundaries and resources • Core processes (functions) • Knowledge production &diffusion • Entrepreneurial experimentation • Resource mobilization • Guidance of the search • Market formation • Legitimacy • Enables systemic assessment of industry formation • System failures: capabilities, coordination and institutions • Dynamic account over different development stages

  4. 3. Criticisms • Ontological narrowness • Systems ontology builds on engineering logic and complex systems theory • Promotes implicitly a rather linear view of innovation diffusion • Is more of a descriptive framework and doesn’t add much to explanation • Unsuitable for “truly” analyzing transitions • It’s only about the provision side of technologies (pet tech perspective) • Ignores feedback between emerging technologies and institutional contexts • Too harmonious: Ignores power and politics • New realities not well covered by typical application cases (PV, biogas, Evs,…) • Growing maturation and globalization of cleantech industries • Growing importance of value chains or systemic technologies • Not suitable for developing countries

  5. 4. Recent Developments • TIS in context (Bergek et al. 2015) • Geography: Global IS (Binz and Truffer 2017) and TIS in development (Tigabuet al. 2015; Blum et al. 2016) • TIS for value chains & technological systems (van Welie et al. 2019; Stephan et al. 2016) • Explanatory turn in reinterpreting the different functions: Market formation, guidance of search, legitimation, … • Policy: Mission oriented IS: Hekkert (2019) … And many more…  Continues to be a vibrant field of research

  6. Thanks Newcomers session, IST Ottawa, 23.6.2019

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