Public value of media innovation systems: Building on Stuart Cunningham's work on media industries and innovation policy

2021 ◽  
pp. 1329878X2110439
Author(s):  
Indrek Ibrus
Keyword(s):  
Policy Making ◽  
Evolutionary Economics ◽  
Innovation Policy ◽  
Innovation Systems ◽  
Creative Industries ◽  
Unique Combination ◽  
Innovation Studies ◽  
Special Contribution ◽  
New Ideas ◽  
Systems Studies

Stuart Cunningham's important contribution to media innovation studies is the work towards a unique combination of evolutionary economics and innovation systems studies with the studies of media and culture. Therein Cunningham's special contribution has been in highlighting the related novel implications for media and creative industries policy making. This essay exemplifies how some of these implications have been addressed in Estonia and how Cunningham's work can be combined with new ideas on designing value-driven innovation systems as ‘national missions’ in order to address the risks of global platformisation for media and other creative sectors.

Why We Need an Holistic Innovation Policy

2019 ◽  
pp. 1-14
Author(s):  
Susana Borrás ◽  
Charles Edquist
Keyword(s):  
Innovation Policy ◽  
Policy Instruments ◽  
Main Idea ◽  
Innovation Systems ◽  
Innovation Studies ◽  
Road Map ◽  
Starting Point ◽  
Theoretical Foundations ◽  
Innovation Processes ◽  
Oriented Approach

This chapter introduces the main idea of the book, namely, the theoretical foundations, the problem-oriented approach, and the focus on the instrument choices of an holistic innovation policy. The chapter argues that innovation studies have left unfinished the theoretical foundations for the design of innovation policy. The chapter also argues that a starting point for developing it is the identification of the problems that tend to afflict the performance of innovation systems and the ten determinants of innovation processes. This provides the basis for the choice of innovation policy instruments. The chapter provides a road map of the contents of the book.

Policy Making Introduction

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Nina TERREY ◽  
Sabine JUNGINGER
Keyword(s):  
Policy Implementation ◽  
Policy Making ◽  
Creative Industries ◽  
Design Management ◽  
Support Design ◽  
The Past ◽  
Academic Researchers ◽  
Design Activities ◽  
The Relationship ◽  
Professional Impact

The relationship that exists between design, policies and governance is quite complex and presents academic researchers continuously with new opportunities to engage and explore aspects relevant to design management. Over the past years, we have witnessed how the earlier focus on developing policies for design has shifted to an interest in understanding the ways in which design contributes to policy-making and policy implementation. Research into policies for design has produced insights into how policy-making decisions can advance professional impact and opportunities for designers and the creative industries. This research looked into how design researchers and design practitioners themselves can benefit from specific policies that support design activities and create the space for emerging design processes.

Innovation policy-making in the upstream oil and gas industry as a large technical system under economic transition

2019 ◽  
Vol 11 (1) ◽  
pp. 107-128
Author(s):  
S. Sepehr Ghazinoory ◽  
Shiva Tatina ◽  
Mehdi Goodarzi
Keyword(s):  
Policy Making ◽  
Q Methodology ◽  
Oil And Gas ◽  
Technology Development ◽  
Economic Transition ◽  
Innovation Policy ◽  
Oil And Gas Industry ◽  
Technical System ◽  
Content Type ◽  
Innovation And Technology

Purpose Innovation and technology development policy-making naturally encounters numerous uncertainties and complexities, especially in developing countries, for the sake of the prevailing prospect of decision makers focusing on hard evidences, and neglecting key and effective social ones; in this research, a context-based method by means of Q-methodology was designed to facilitate policy-making for complex systems by bridging between policy and practices (latent in viewpoints) through providing context-based evidences. Design/methodology/approach Due to the nature of knowledge-based systems, the performance of Innovation and Technology Development (ITD) systems is highly dependent on the standpoints of key players/stakeholders of the system. In consideration of Iran’s economy characteristics, Upstream Oil and Gas (UOG) Industry, which is one of the complex Large Technical Systems (LTS), was selected as a case study. Regarding the features of LTSs, the designed model was completed by adding hierarchical clustering method, as well as using the framework of innovation and technology learning transition model to analyze the results. Findings The results showed the capability of the model in providing credible evidences to inform policy-making processes. Originality/value This study is one of the first real experiences which used Q-method for providing evidence-based policy-making model in a complex Large Technical System, namely, Upstream Oil and Gas (UOG) Industry.

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.

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.

scholarly journals ENGINEERING DESIGN: STRUCTURE, VALUE AND ASSESSMENT

2011 ◽  
Author(s):  
Ian Yellowly
Keyword(s):  
Engineering Design ◽  
Innovation Policy ◽  
Central Process ◽  
University Environment ◽  
Design Structure ◽  
Or Practice ◽  
Conventional Technology ◽  
Design Activities ◽  
New Ideas ◽  
Typical Design

Engineering design is the central process in the transformation of new ideas and conventional technology or practice into high value products and systems. Unfortunately the process is not highly valued within the research oriented University environment. At the same time government innovation policy is rooted in models better suited to the review of projects as opposed to systems or products; the value structure being biased towards discovery, (and perhaps use). The author attempts to describe the structure of typical design activities and using this model proposes simple metrics to allow the assessment of design content within research and development proposals.

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