scholarly journals Formulasi Kebijakan Roadmap Inovasi Daerah di Kabupaten Bekasi

2020 ◽  
Vol 8 (2) ◽  
pp. 119-131
Author(s):  
Waluyo Zulfikar ◽  
Ipah Ema Jumiati
Keyword(s):  
Public Services ◽  
Innovation Policy ◽  
Dynamic Performance ◽  
Innovation System ◽  
Industrial Area ◽  
Innovation Systems ◽  
Policy Framework ◽  
Policy Coherence ◽  
The Public ◽  
Industrial Zones

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.

Performing ambiguous policy: How innovation events simultaneously perform change and collaborative order

2019 ◽  
Vol 68 (6) ◽  
pp. 1403-1419
Author(s):  
Erika Andersson Cederholm ◽  
Patrik Hall
Keyword(s):  
Innovation Policy ◽  
Social Process ◽  
Innovation System ◽  
Innovation Systems ◽  
Political Order ◽  
Regional Innovation ◽  
Stability And Change ◽  
The Public ◽  
Social Forms ◽  
Meeting Models

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.

scholarly journals Regional Innovation Systems in Poland: How to classify them?

2021 ◽  
Vol 17 (3) ◽  
pp. 987-1003
Author(s):  
Dorota Ciołek ◽  
Anna Golejewska ◽  
Adriana Zabłocka-Abi Yaghi
Keyword(s):  
Innovation Policy ◽  
Innovation System ◽  
Weighted Average ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Metropolitan Regions ◽  
Industrial Enterprises ◽  
Innovation Potential ◽  
And Performance

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.

Regional Innovation Systems: Finland’s Experience

2012 ◽  
pp. 51-63
Author(s):  
V. Pchelintsev
Keyword(s):  
Systems Approach ◽  
Innovation Policy ◽  
Regional Scale ◽  
Innovation System ◽  
Policy Instruments ◽  
Innovation Systems ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Non Local ◽  
Innovation Policies

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.

The Turkish Biotechnology System

2017 ◽  
pp. 251-268
Author(s):  
Dilek Cetindamar
Keyword(s):  
Developing Countries ◽  
Innovation Policy ◽  
Innovation System ◽  
Innovation Systems ◽  
Policy Implications ◽  
Policy Makers ◽  
Policy Issues ◽  
Innovation Processes ◽  
Shed Light ◽  
Over Time

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.

The Turkish Biotechnology System

Biotechnology ◽  
2019 ◽  
pp. 1240-1253
Author(s):  
Dilek Cetindamar
Keyword(s):  
Developing Countries ◽  
Innovation Policy ◽  
Innovation System ◽  
Innovation Systems ◽  
Policy Implications ◽  
Policy Makers ◽  
Policy Issues ◽  
Innovation Processes ◽  
Shed Light ◽  
Over Time

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.

University–industry cooperation and the transition to innovation ecosystems in Japan

2017 ◽  
Vol 31 (6) ◽  
pp. 373-387 ◽  
Author(s):  
Marina Ranga ◽  
Tomasz Mroczkowski ◽  
Tsunehisa Araiso
Keyword(s):  
Innovation Policy ◽  
Academic Research ◽  
Innovation System ◽  
The United States ◽  
Policy Framework ◽  
Regional Innovation ◽  
Innovation Ecosystem ◽  
Entrepreneurial Spirit ◽  
Venture Business ◽  
University Industry

This article looks at the evolution of university–industry collaboration (UIC) policies in Japan since the mid-1990s to the present and analyses their role in shaping the country’s innovation ecosystem. UIC policies are examined within a multidimensional innovation policy framework that encompasses five Science and Technology Basic Plans and a vast array of support measures for venture business, intellectual property, innovation networks and business promotion, all reflecting an extensive top-down government intervention with ambitious goals. A dense network of UIC centres has been established throughout the country, mostly in universities, and these centres are tightly embedded in regional innovation structures. In spite of the sustained government policy intervention, Japan lags behind the United States and Europe in a ranking of the top 20 global ecosystems and has some of the world’s lowest entrepreneurial indicators, as defined by the Global Entrepreneurship Monitor. The authors argue that a likely cause for the lag is Japan’s slow and still incomplete transition from a ‘traditional’ innovation system to a modern innovation ecosystem with a strong entrepreneurial spirit and culture, effective intermediaries between university and industry, high absorptive capacity in companies using academic research, cross-boundary mobility of workforce and ideas and global outreach. The experience of Osaka University and Hokkaido University, two UIC leaders in Japan and internationally, supports this hypothesis.

scholarly journals In pursuit of an innovation development trajectory of the Kaliningrad region

Baltic Region ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 92-106
Author(s):  
Anna A. Mikhaylova
Keyword(s):  
Life Cycle ◽  
Innovation Policy ◽  
National Policy ◽  
Innovation System ◽  
Innovation Systems ◽  
Soviet Period ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Kaliningrad Region ◽  
Framework Conditions

Amid growing inter-state competition, national innovation policies are increasingly seeking to promote the development of regional innovation systems to intensify innovative processes and to enhance the economic competitiveness of territories. An efficient regional innovation policy requires a territorial adaptive approach to the development of mechanisms for innovating socio-spatial systems. These mechanisms should take into account the specific features and inalienable resources of territories. Whereas regional innovation systems are becoming increasingly acknowledged in public administration as versatile, the stage of a system life cycle, which is an equally important factor, often escapes managerial attention. In this article, I analyse the innovation system of the Kaliningrad region at its inception. The Kaliningrad case is of considerable interest for a study into the patterns and characteristics of the governance of innovation systems — a management paradigm aimed to promote regional development during a change in their functioning mode. In this work, I analyse the current structure of the Kaliningrad regional innovation system, of which some elements date back to the Soviet period, paying particular attention to the subsequent change in the framework conditions. I show that a new innovation trajectory requires taking into account the economic and geographical position of the region, its level of socio-economic development and economic specialization. My findings could contribute to both improving the national policy on managing innovation processes in Russian regions and developing the concept of regional innovation systems as regards research into their life cycle stages.

scholarly journals Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions

2018 ◽  
Vol 10 (8) ◽  
pp. 2862 ◽  
Author(s):  
Cristina Ponsiglione ◽  
Ivana Quinto ◽  
Giuseppe Zollo
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Innovation System ◽  
Innovation Systems ◽  
Policy Support ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Public And Private ◽  
The Public ◽  
Complex Adaptive

This article proposes an agent-based model to support the development of self-sustaining regional innovation systems (RIS). The model is the base of a computational laboratory, CARIS (Complex Adaptive Regional Innovation System), which aims at evaluating the self-sustainability of RIS and at investigating what are the resources, competencies and mechanisms able to trigger powerful innovation and economic growth processes. Such a topic is particularly interesting for the so-called lagging regions, which, notwithstanding noticeable policy interventions, have been unable to significantly improve their innovation performances. Results of this study show that the exploration capacity, the propensity to cooperation, and the endowed competencies of actors belonging to a region could be considered as key aspects in affecting the regional innovation performance. This means that policy-makers should (i) incentivize investments in research and development activities both at the public and private levels; (ii) support public-private partnerships; (iii) enhance national and regional university systems; and (iv) increase the number of researchers employed both in the public and private sectors. In the next future, the CARIS laboratory could be adopted as policy support instrument to evaluate how much effective are current innovation policies and what are the most effective ones to reassess the current patterns.

Interaction and Networking

2019 ◽  
pp. 145-165
Author(s):  
Susana Borrás ◽  
Charles Edquist
Keyword(s):  
Systems Approach ◽  
Innovation Policy ◽  
Innovation System ◽  
Policy Instruments ◽  
Innovation Systems ◽  
Negative Consequences ◽  
Scholarly Literature ◽  
Theoretical Context ◽  
Conceptual Clarification

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.

scholarly journals Value Chains for Industrial Biotechnology in the Bioeconomy-Innovation System Analysis

2019 ◽  
Vol 11 (8) ◽  
pp. 2435 ◽  
Author(s):  
Sven Wydra
Keyword(s):  
System Analysis ◽  
Innovation Policy ◽  
Innovation System ◽  
Policy Instruments ◽  
Innovation Systems ◽  
Market Condition ◽  
Value Chains ◽  
Industrial Biotechnology ◽  
Market Formation ◽  
Address System

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.

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