scholarly journals Regional Innovation Systems in Policy Laboratories

Author(s):  
Pyka Andreas ◽  
Matthias Mueller ◽  
Muhamed Kudic

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.

2020 ◽  
Vol 4 (92) ◽  
pp. 67-90
Author(s):  
Hanna Shevtsova ◽  
◽  
Vitaliy Omelyanenko ◽  
Olha Prokopenko ◽  
◽  
...  

The relevance of the research topic is due to the need to solve the problem of developing conceptual issues of digital transformation management in the context of innovation trends, taking into account the overarching impact and large-scale prospects of digitalization processes. The paper deals with the analysis of the digital aspects of innovation policy, in particular, based on the use of international rankings, the definition of features of building the digital component of innovation networks and the deepening of scientific and methodological approaches to digital support of innovation processes. An overview of modern scientific and methodological approaches to defining the impact of digital transformation on innovation process is presented. Digital transformation can be seen as a factor in access to information and new opportunities that can improve technological capabilities. To assess the impact of digitalization on the development of innovation processes, the data of the Global Innovation Index and the ICT Development Index were used. Based on results of calculations, significant values of the positive correlation with the key components of the innovation system and the level of cluster development were obtained. The study identifies marketing, communication, infrastructural, international dimensions of digitalization of innovation processes. It is shown that the increasing availability of ICTs necessitates a timely rethinking of many processes in the innovation sphere. On the basis of world experience, the role of universities has been substantiated, which should take on a significant part of the responsibility for the formation of a new technological order through improving the quality of researches and their results’ introduction into the real economy within the framework of S2B-B2S networks (Scіence-to-Busіness – Busіness-to-Scіence). As a result of the study, the conclusion is substantiated that an integrated approach to the creation of digital innovation ecosystems requires the study of both institutions and participants, their interaction networks, the specifics of the environment, resources, technologies, etc. It is proposed to consider the role of ICTs in the development of innovation networks on the basis of combining such modern approaches to the development of innovations, in particular – multidisciplinary engineering analysis, system design methodology and parallel engineering methodology. The analysis and deepening of scientific and methodological approaches to the digital support of innovation processes made it possible to identify other promising areas of digitalization of innovation processes, for example, within the framework of the activities of public authorities that ensure the introduction of electronic government technologies.


2001 ◽  
Vol 45 (1) ◽  
Author(s):  
Eike W. Schamp

AbstractIt is generally assumed that cities are focal points or hubs in processes of knowledge generation and diffusion, and, consequently, centres of regional innovation Systems. This paper questions the importance of local influences in current reorganisation processes of regional knowledge Systems by making use of the triplehelix concept on innovation processes. Using the example of four knowledge Systems in the major economic clusters of the region Frankfurt/Rhein- Main - i.e. chemical industries, automobile manufacturing, biotechnology and finance -, it is concluded that the specialisation process taking place among German metropolitan regions and the emergence of Frankfurt as a hub for market access is driven mainly by non-local forces.


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.


IMP Journal ◽  
2017 ◽  
Vol 11 (2) ◽  
pp. 178-206 ◽  
Author(s):  
Synnøve Rubach ◽  
Thomas Hoholm ◽  
Håkan Håkansson

Purpose The purpose of this paper is to present a longitudinal case study of a regional innovation policy initiative, in which ideas with regard to how innovation might be facilitated were changing over time. Through the scrutiny of insights in industrial network studies (IMP), the authors seek to shed light on the challenges created by policy interventions aimed at constructing complementary networks for the facilitation of innovation. That is to say, the authors endeavour to understand the interfaces between innovation networks and industrial networks, and the way in which they may influence innovation. Design/methodology/approach This study is based on a longitudinal case study of four successive regional innovation projects in Norway. Data are drawn from relevant policy documents and project documentations, as well as from participatory observation of application processes and project activities. Findings This study shows that regional innovation policy concerns first and foremost the interaction within and between relatively established diverse networks, which affects both structuring and restructuring. Changes in innovation policy required the re-configuring of constellations of business networks, research networks and policy networks. All initiatives required mobilisation input by persistent actors – often boundary organisations or researchers. The construction of innovation networks served as an instrument in the production of new interfaces between businesses, researchers and policy makers. The use and usefulness of these networks as perceived by the business actors were heavily influenced by the way in which the networks were configured. Research limitations/implications Generalisation based on in-depth qualitative case research requires further testing across similar and varying cases, and there have hitherto been relatively few studies of the interfaces between industrial and innovation networks. Despite this it can be argued that the conceptual distinction between constructed and emerging networks is a productive one in the study of networked innovation dynamics. During the research into this longitudinal case, it has been interesting to observe the way in which innovation research, and thus its influence on innovation policy, has changed over time. It would be beneficial if further studies were to be conducted on the way in which this has played out. Practical implications The administration of the public funding of innovation network activities requires great care. Where innovation policy initiatives are closely related to established industrial networks, it may be possible to strengthen innovation dynamics, challenge established practices and conceptions, and contribute to expanding, or even initiate innovation activities. In the first place, new activities need to be initiated in a way that supports the long-term development of actual business networks; and second, innovation policy bodies should be prepared to stimulate activity over longer periods of time. Originality/value This paper engages in, and combines, two parallel and rarely interacting debates on, respectively, innovation within innovation policy (innovation systems, clusters, networks) and industrial network studies (IMP and others). The authors make an “ideal type” distinction between alternative “constructed” networks and “emerging” networks, and the way in which they influence innovations.


Equilibrium ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. 9-27
Author(s):  
Marta Magdalena Rószkiewicz

The analysis focuses on assessing the impact of science and innovation policy on increasing business research activity, represented by the measure of business expenditure on research (BERD). The study concentrates on the impact of direct and indirect funding instruments. The effects of public intervention were examined basing on the pursued policy and the country’s level of innovativeness in 21 countries. In order to build aggregate variables of direct and indirect financial flows, the procedure of principal components was performed. Correlations between these variables and business sector activity were examined. The procedure of hierarchical clustering allowed to determine groups of countries which used similar policy instruments and experienced the same dynamics of BERD expenditures. The aim of such clustering was to highlight basic types of relations between the policy pursued and the activity of business sector. The study allowed to determine that direct funding has a significant effect on increasing BERD expenditures and is decreasing with the growing intensity of these outlays. The relation for indirect funding was found to be more complex. The generosity of country’s tax incentives for R&D was proved to be dependent on the level of innovativeness of business sector and was represented by an inverted U-shaped curve. The level of innovativeness was also found to have a stronger impact on business sector research activity than the policy pursued by a country. Basic recommendations on research funding policies were built based on the performed analysis.


Author(s):  
Bo Carlsson

This chapter focuses on transparency in innovation policy, with emphasis on the science and technology policy arena. It begins by presenting the broader innovation systems policy domain and analyzing the nature of innovation and innovation processes as well as the rationale for innovation policy including the goals, instruments, and actors involved in such a policy. It then considers policy instruments and “soft” institutions that influence the outcomes of science and technology policy, including the protection of intellectual property rights. The chapter concludes by assessing the benefits of transparency in the innovation policy arena.


2018 ◽  
Vol 17 (1) ◽  
pp. 100-127
Author(s):  
Dolores Modic ◽  
Borut Rončević

AbstractBuilding upon social fields theory, the authors analyze the impact of the three social forces – institutions, social networks and cognitive frames – on the social topography of regional innovation systems. Unlike previous studies, which focused on individual social force, the authors’ fuzzy-set comparative analysis of fifteen diverse regions from four continents reveals nuanced impact of individual forces and shows that a well-functioning regional innovation system is the outcome of their combined influence. This implies a need for a coherent, reflexive, context-specific and multi-level innovation policy that supports the balanced development of an institutional framework, encourages the formation of social networks and enables supportive cognitive frames.


REGIONOLOGY ◽  
2018 ◽  
Vol 26 (4) ◽  
pp. 658-673 ◽  
Author(s):  
Igor V. Arzhenovskiy

Introduction. The growing dependence of regional economies on innovation determines the importance of regional innovation policy, it being an integral part of regional economic policy. Within its framework, a constant assessment of mutual impact of the factors of regional development and successful startups is necessary. The goal of this study is to identify such basic factors. Materials and Methods. Regional socio-economic complexes of the Republic of Mordovia, Nizhny Novgorod Region and Samara Region are considered as the research object. Regional primary and secondary statistics on the research topic, legislative and regulatory acts of the federal and regional levels form the information basis of the study. The methods of system analysis, economic statistics, expert survey, economic and mathematical modeling as well as cognitive modeling were employed. Results. The primary and final lists of factors of mutual impact of innovative startups and the regional environment have been compiled. The features of modern startups and their interaction with the external environment have been exposed. The cause-and-effect relations between the factors have been identified. A quantitative and qualitative analysis of the factors, their grouping and classification for the subsequent modeling of innovative processes in the region has been performed. Discussion and Conclusion. The results obtained serve as the basis for correlation and regression analysis and the subsequent provision of a cognitive model of the regional innovation process that takes into account the peculiarities of the regions under consideration. The verified cognitive model makes it possible to construct prognostic scenarios of the impact of innovations on the regional growth and the influence of the regional environment on the growth of innovations, to conduct a justification, a comparative analysis and an assessment of the consequences of management decisions on development of the regional infrastructure to support entrepreneurship as well as to evaluate the adaptability of innovative startups to changes in external and internal environment factors.


Author(s):  
Dayane Gabriele Alves Silveira

The purposes of this study were: (1) examine the literature about innovation diffusion; (2) conduct a literature review on the innovation-decision process; (3) identify factors affecting the success of an innovation; (4) to determine a new strategy for diffusion of innovation. A structured search of the internet was undertaken to identify and appraise direct relationship between opinion leaders and diffusion of innovation. Models for describing the pattern of the diffusion processes for innovations are used by researchers. The present study went beyond the global structure of network to understand the actual position of the actors within the innovation networks. To do this, a strategy was needed that went to understand from the macro to the micro level, and then returned to the macro level to explain the structure of the authorship in innovation networks.


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