Exploring the Dedicated Knowledge Base of a Transformation towards a Sustainable Bioeconomy

Urmetzer, Sophie; Schlaile, Michael P.; Bogner, Kristina; Mueller, Matthias; Pyka, Andreas

doi:10.3390/su10061694

Cited by 40 publications

(41 citation statements)

References 187 publications

(212 reference statements)

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“…The discussions in Section 2 sensitize for the fact that the mainstream economic understanding of knowledge as a public good is insufficient for understanding innovation processes in a systemic context (see also [49], on a related discussion). The following simulation exercise aims at demonstrating the potential of new computational approaches to gain a comprehensive picture of how firms access and use knowledge via networks in their efforts to generate innovative products and services (see also [10,11] for other applications of the VISIBLE model).…”

Section: Simulation Resultsmentioning

confidence: 99%

Regional Innovation Systems in Policy Laboratories

Pyka

Mueller

Kudic

2018

Journal of Open Innovation: Technology, Market, and Complexity

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Innovation policy and business strategy often expect that investing in private and public research and development will immediately produce a flow of products and processes with high commercial and social returns. Policymakers and managers implicitly follow the logic underlying most linear innovation models assuming a well-defined and uni-directional relationship between R&D spending as input and innovation rents as output of the innovation process. Modern innovation economics dismisses the simplified approximation of knowledge by R&D investment and, instead, considers complex knowledge generation and diffusion processes in innovation networks. From this angle, the disappointing performance of traditional approaches is traced back to strong limits of conventional steering, control, and policy instruments. In this paper, we show that the new view of knowledge generation and diffusion in innovation networks allows for an alternative and has led to systemic approaches in innovation analyses. Combined with computational approaches like agent-based modeling, this new view enables today innovative tools in policy consulting. Using the example of regional innovation policy, we introduce a policy laboratory in which innovation processes can be analyzed in depth to see the impact of different innovation policy instruments in-silico. This ex-ante evaluation helps considerably to improve the understanding of innovation processes and with it the performance of innovation policy.

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Section: Simulation Resultsmentioning

confidence: 99%

Regional Innovation Systems in Policy Laboratories

Pyka

Mueller

Kudic

2018

Journal of Open Innovation: Technology, Market, and Complexity

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“…And while for them, as for many other economists before and after, entrepreneurial spirit and ingenuity seems to be hard to reconcile with normative considerations and ethical values, we propose to consider them both as products of the human mind. We consequently treat them as two of the same kind: different types of knowledge [36]. It is this knowledge-centered perspective of both scholars that inspires a new approach to normative innovation scholarship.…”

Section: Reconciling Schumpeter and Georgescu-roegenmentioning

confidence: 99%

“…This enthusiasm for technological progress provoked a policy-driven very distinguished focus on mere techno-economic knowledge in Western economies. Techno-economic knowledge can be described as the knowledge necessary to create economic value [36]. It is also this kind of knowledge Schumpeter and most other economists focused on.…”

Section: Transcending Insurmountable Barriers: the Apollo Effectmentioning

confidence: 99%

“…To improve the conceptualization of knowledge in DIS, the notion of dedicated knowledge has been coined recently, encompassing besides techno-economic knowledge also systems knowledge, normative knowledge, and transformative knowledge. [36]. One of the first opponents to this overemphasis of techno-economic knowledge was Nicolas Georgescu-Roegen who, albeit using a different terminology, stressed the importance of considering non-economic expertise in innovation processes, too.…”

Section: Transcending Insurmountable Barriers: the Apollo Effectmentioning

confidence: 99%

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Productivity Slowdown, Exhausted Opportunities and the Power of Human Ingenuity—Schumpeter Meets Georgescu-Roegen

Pyka

Bogner

Urmetzer

2019

Journal of Open Innovation: Technology, Market, and Complexity

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Western economies nowadays are confronted with a predicted productivity slowdown resulting in diminishing rates of economic growth. While some scholars see these developments as an indication of the approaching end of growth due to fully exploited technological opportunities, this article contends that the possibilities for radical, paradigm changing innovations are far from being exploited. Building on contributions from Schumpeter and Georgescu-Roegen, we argue that the human capacity to expand technological and intellectual frontiers must not be underestimated. In a selective retrospect, our narrative identifies and describes four historical incidents reflecting different perceptions of the power of the human mind. It synthesizes the mentioned economists’ viewpoints with the effects of these incidents to reproduce the intellectual roots of the recently developed concept of Dedicated Innovation Systems (DIS). We conclude that traditional macro-level indicators are not suitable to capture transformation processes, which is why we propose to interpret growth indicators and the alleged productivity slowdown quite differently. We argue that human ingenuity and transformation processes dedicated to sustainability will open up new opportunity spaces, thereby combining an increase in economic welfare and social justice with a reduction of negative environmental impact.

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“…Urmetzer et al [6] underline the knowledge dimension associated with the biobased economy transition. Taking an innovation systems (IS) perspective, the authors claim that, to successfully contribute to a sustainability transition, a knowledge-based bioeconomy should broaden its scope beyond the techno-economic dimension.…”

Section: Understanding Sustainability Transition Pathways To a Biobasmentioning

confidence: 99%

Sustainability Transition towards a Biobased Economy: Defining, Measuring and Assessing

Morone

2018

Sustainability

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This Special Issue proposes an array of 11 key papers aimed at investigating the complex and multifaceted nature of the biobased economy, focusing both on a conceptual understanding of the transition and on the measurement issues associated to it. More specifically, collected papers can be broadly divided in two groups: (1) those aiming at adding to our understanding of the transition process towards a sustainable biobased economy; and (2) those aiming at adding to the definition and measurement of the emerging sustainable biobased economy. In the guest editor view, papers collected in this Special Issue offer valuable and complementary insights to our understanding of the ongoing transition towards a biobased economy, providing a logical framework to understand the transitions, as well as an overview of existing tools to assess and measure it. Ideally, policy makers will benefit from the papers included in this Special Issue and, hopefully, it will contribute to make a further step to the much-needed transition towards sustainability.

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Exploring the Dedicated Knowledge Base of a Transformation towards a Sustainable Bioeconomy

Cited by 40 publications

References 187 publications

Regional Innovation Systems in Policy Laboratories

Regional Innovation Systems in Policy Laboratories

Productivity Slowdown, Exhausted Opportunities and the Power of Human Ingenuity—Schumpeter Meets Georgescu-Roegen

Sustainability Transition towards a Biobased Economy: Defining, Measuring and Assessing

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