Interaction and Networking

2019 ◽  
pp. 145-165
Author(s):  
Susana Borrás ◽  
Charles Edquist

Innovation systems cannot be conceptualized without understanding the interactions between different actors in the system. These interactions take many different forms. The scholarly literature has studied them with broad or narrow notions. This chapter aims at providing an encompassing view of these different phenomena, putting them directly into the theoretical context of the innovation systems approach. This is done not only for the sake of conceptual clarification, but above all for identifying the concrete obstacles and deficiencies associated with these interactions that might plague the innovation system. This serves as the basis for distinguishing and classifying the wide diversity of network-oriented innovation policy instruments that governments have deployed through time. Just as in other chapters of this book, the unintended negative consequences created by the application of these instruments are also examined. Finally, the chapter puts forward a set of criteria for the design and redesign of these instruments.

Author(s):  
V. Pchelintsev

The paper examines governmental strategies, main actors and instruments of innovation policies shaping innovation-driven economy in Finland, with particular attention to the regional scale. The analysis focuses on how the regional innovation systems approach became a framework for the design of innovation policies. An innovation system involves cooperation between firms and knowledge creating and diffusing organizations, – such as universities, colleges, training organizations, R&D-institutes, technology transfer agencies. Innovations are considered as interactive learning process. Cooperation and interaction between regional/local and national/international actors is necessary to combine both local and non-local knowledge, skills and competences. The key elements of the policy environment, as well as implementation of the main regional innovation policy instruments – the Centers of Expertise Programme and Regional Centre Programme – are described.


2019 ◽  
Vol 11 (8) ◽  
pp. 2435 ◽  
Author(s):  
Sven Wydra

Industrial Biotechnology (IB) is considered as a key technology with a strong potential to generate new growth, spur innovation, increase productivity, and tackle environmental and climate challenges. Industrial Biotechnology is applied in many segments of the bioeconomy ranging from chemicals, biofuels, bioenergy, bio-based plastics, and other biomaterials. However, the segments differ profoundly regarding volume, price, type, and amount of needed feedstock, market condition, societal contributions as well as maturity, etc. This article aims to analyse a set of five different value chains in the technological innovation system (TIS) framework in order to derive adequate policy conclusions. Hereby, we focus on quite distinctive value chains to take into account the high heterogeneity of biotechnological applications. The analysis points out that policy maker have to take into account the fundamental differences in the innovation systems and to implement differentiated innovation policy to address system weaknesses. In particular, market formation is often the key bottleneck innovation systems, but different policy instruments for various application segments needed.


Author(s):  
Waluyo Zulfikar ◽  
Ipah Ema Jumiati

Bekasi Regency is the area with the largest industrial area in Southeast Asia, where there are 16 industrial areas with relatively large land area. In addition, there are also seven large industrial zones or industrial zones on an international scale, in line with this, the problem of public service delivery in the Bekasi District Government must be carried out properly to the public. In optimizing the public services, various innovative ideas and ideas are needed to create synergy and efficiency in the provision of these public services. In this study, the innovation system is a unified component that influences the direction of development and speed of innovation, diffusion, and learning processes in the development, mastery, advancement and application/utilization of science and technology. How sub-subsystems (elements / factors) play their roles, their interrelations (including policy coherence), and the dynamics of their interactions determine or influence the dynamic performance of innovation systems. Strengthening the innovation system means structuring the system (holistic, simultaneous, systemic issues) in a structured way. In a policy perspective, strengthening innovation systems means remedial steps that need to be directed to address systemic failures. Therefore, policy strategies need to be developed as a unified innovation policy framework (KKI) to strengthen the system.


2021 ◽  
Vol 17 (3) ◽  
pp. 987-1003
Author(s):  
Dorota Ciołek ◽  
Anna Golejewska ◽  
Adriana Zabłocka-Abi Yaghi

The literature emphasises the role of regional and local innovation environment. Regional Innovation Systems show differences in innovation outputs determined by different inputs. Understanding these relationships can have important implications for regional and innovation policy. The research aims to classify Regional Innovation Systems in Poland according to their innovation capacity and performance. The analysis covers 72 subregions (classified as NUTS 3 in the Nomenclature of Territorial Units for Statistics) in 2004–2016. Classes of Regional Innovation Systems in Poland were identified based on a combination of linear and functional approaches and data from published and unpublished sources. It was assumed that innovation systems in Poland differ due to their location in metropolitan and non-metropolitan regions, thus, the Eurostat NUTS 3 metro/non-metro typology was applied for this purpose. Panel data regressions as models with individual random effects were estimated separately for metropolitan and non-metropolitan groups of subregions. The study identified common determinants of innovation outputs in both NUTS 3 types: share of innovative industrial enterprises, industry share, unemployment rate, and employment in research and development. Next, NUTS 3 were classified within each of two analysed types in line with output- and input-indices, the latter being calculated as non-weighted average of significant inputs. Last, the subregions were clustered based on individual inputs to enable a more detailed assessment of their innovation potential. The cluster analysis using k-means method with maximum cluster distance was applied. The results showed that the composition of the classes identified within metropolitan and non-metropolitan systems in 2004– 2016 remains unstable, similarly to the composition of clusters identified by inputs. The latter confirms the changes in components of the capacity within both Regional Innovation System types. The observed situation allows us to assume that Regional Innovation Systems in Poland are evolving. In further research, the efficiency of Regional Innovation Systems should be assessed, taking into account the differences between metropolitan and non-metropolitan regions as well as other environmental factors that may determine the efficiency of innovative processes.


2019 ◽  
pp. 212-228
Author(s):  
Susana Borrás ◽  
Charles Edquist

The purpose of this chapter is to discuss the different types of instruments of innovation policy, to examine how governments and public agencies in different countries and different times have used these instruments differently, to explore the political nature of instrument choice and design (and associated issues), and to elaborate a set of criteria for the selection and design of the instruments in relation to the formulation of holistic innovation policy. The chapter argues that innovation policy instruments must be designed and combined into mixes that address the problems of the innovation system. These mixes are often called ‘policy mixes’, though we prefer the term ‘instrument mix’. The wide combination of instruments into such mixes is what makes innovation policy ‘holistic’.


2019 ◽  
Vol 68 (6) ◽  
pp. 1403-1419
Author(s):  
Erika Andersson Cederholm ◽  
Patrik Hall

The aim of this article is to analyse how innovation policy is staged and legitimised through the dramatised social process of an event. The context is taken from an annual event, Skåne Innovation Week, which is arranged by the regional innovation system in Skåne, Sweden. Innovation systems often organise similar events internationally, which appear to play a key role in performing inter-organisational collaboration between actors from the public sector, industry and research, as well as manifesting belief in the globalised imaginaries of innovation systems. Through the analytical lens of the event as a social drama, the article examines how the event – and thus, innovation policy – is represented in commemorative films and website documents through which three meeting practices are identified: mingling and hanging out, scripted meeting models and spatial staging. The article argues that these meeting practices and their performed interactive social forms sustain the vagueness and ambiguity inherent in innovation policy, particularly between stability and change. The event can be viewed as a form of performative government that maintains a political order while simultaneously hailing its practices as transformative.


Author(s):  
Susana Borrás ◽  
Charles Edquist

Who produces scientific and technical knowledge these days? What type of knowledge is being produced, and for what purposes? This chapter studies the role of public policy in knowledge production (especially R&D activities) relevant for the innovation process from a perspective of innovation systems. It identifies four typical policy-related obstacles and barriers related to knowledge production in an innovation system. Next, it elaborates a set of overall criteria for the selection and design of relevant policy instruments addressing those unbalances. Most importantly, the chapter argues that in most countries innovation policy continues to be subsumed under research policy. An holistic and problem-oriented innovation policy requires that innovation policy and research policy are separated from each other in the design phase—but it must be ensured that they support each other when implemented (in the same way as many other policy areas have to be coordinated with each other).


Author(s):  
Dilek Cetindamar

This chapter empirically examines biotechnology innovation system in order to present the concerns of developing countries. Even though it is not possible to create standard prescriptions across countries, this paper aims to develop a solid understanding of how biotechnology and institutions co-evolve that might shed light to innovation policy issues for biotechnology across developing countries. The immediate goal is the Turkish policy makers but it will surely have policy implications for developing countries in general. Through mapping innovation processes/functions over time, it is possible to develop insights of the dynamics of innovation systems. This mapping is carried out for the Turkish biotechnology system, and the findings are summarized.


Biotechnology ◽  
2019 ◽  
pp. 1240-1253
Author(s):  
Dilek Cetindamar

This chapter empirically examines biotechnology innovation system in order to present the concerns of developing countries. Even though it is not possible to create standard prescriptions across countries, this paper aims to develop a solid understanding of how biotechnology and institutions co-evolve that might shed light to innovation policy issues for biotechnology across developing countries. The immediate goal is the Turkish policy makers but it will surely have policy implications for developing countries in general. Through mapping innovation processes/functions over time, it is possible to develop insights of the dynamics of innovation systems. This mapping is carried out for the Turkish biotechnology system, and the findings are summarized.


2019 ◽  
pp. 229-246
Author(s):  
Susana Borrás ◽  
Charles Edquist

The purpose of this chapter is to provide a summary of the main arguments and conclusions in the book, and to highlight its main contributions. Taking the point of departure from the book’s analytical framework, and taking stock of the detailed considerations in its different chapters, this chapter looks into a series of issues related to the design of holistic innovation policy. With this purpose in mind, the chapter summarizes the theoretical foundations of an holistic innovation policy, how policy problems, obstacles, and barriers in innovation systems can be identified, and how policy instruments can be selected. The chapter finishes with a discussion of further avenues for innovation policy and innovation research. This summary chapter can be read independently of the rest of the book.


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