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Creative Cultural Localization Ways and IT Market of the EU to Converge the Creative Industries

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2015, v.13 no.1, pp.27-33
https://doi.org/https://doi.org/10.15722/jds.13.1.201501.27
Seo, Dae-Sung
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Abstract

Purpose - The ICT market in the EU is lagging behind that of the US; however, algorithm and software development within the EU have grown steadily, and they involve focusing on the creative cultural convergence conceptualized as part of Horizon 2020 and connecting neighboring markets in the EE and the Mediterranean region. It is essential to study the requirements to market the EU's creative ICT development in emerging industrial countries after examining its applicability in these countries. Research design, data, and methodology - This study deals with data pertaining to the EU's creative industry and competitive edge. The global cultural expansion of the EU facilitates a new concept involving not only low-cost IT products to enhance local cultural artifacts through R&D and the construction of efficient infrastructure services, but also information exchange with a realistic commercialization of the technology that can be applied for creative cultural localization. In the European industry, research on algorithms has been applied for the benefit of consumers. We investigated how the process is conducted in the EU. Results - Europe needs to adjust its economic structure to the local culture as part of IT distribution convergence. The convergence has been converted into a production algorithm with IT in the form of low-cost production. This is because there is an attempt to improve the quality of transport infrastructure, workforce availability, and the distribution of the distance to the local industries and consumers, using IT algorithms. Integrated into the manufacturing industry, based on the ICT infrastructure and solutions, smart localized regional clusters are formed with the help of grafting. Europe has own strategy to increase the number of hub-and-spoke cities. Europe is now becoming integrated, with an EPC system for regional cooperation rather than national competition in ICT technology. Europe has also been recognized in this study as changing the step-by-step paradigm for global competitiveness through new creative culture industries. Conclusions - As a result, there are several ways of converging with others through EU R&D intensity; therefore, the EU can be seen as successfully increasing marginal value, which is useful in developing a special industrial cluster or local cultural cities that create converged development by connecting people and objects with IT. In fact, when compared to the US, Europe has a strong culture and the car industries have a tendency to overshadow the IT industries with integration of services in IT distribution. Considering the rapid environmental changes, the convergence of IT services is likely to take place in Europe, similar to the pharmaceutical industry and the automotive industry. This requires a focus on human resources and automated systems management. The trend is to move away from low-wage industries, switched to key personnel centers of the local university-industry. EU emphasizes the creation of IT market demand in Europe involving local cultural convergence for marketing as the second step to strengthen the economic hub-and-spoke areas.

keywords
Cultural Localization Ways, EU, IT Logistics, Specific Creative Industry, Convergence

Reference

1.

AFDB (2012). Open, Smart and Inclusive Development : ICT for transforming North Africa, ORNA ORNB, economic brief, Retrieved December 1, 2013 from http://www.afdb.org/fileadmin/uploads/afdb/Documents/Publi cations/Brochure%20Open%20Smart%20Anglais.pdf.

2.

Bartha, A., Leiszen, M., & Selmeczi, A. (2014). Different Horizons: Aid, Trade and Official Development Assistance in Hungary, Budapest: Central European University.

3.

Dimelis, Sophia P., & Papaioannou, Sotiris K. (2011). ICT growth effects at the industry level: A comparison between the US and the EU. Information Economics and Policy, 23(1), 37-50.

4.

European Commission (2012). Aid for Trade, Improving EU support to developing countries in mobilizing Financing for Development, Staff working paper report, Retrieved December 15, 2013 from http://trade.ec.europa.eu/doclib/docs/2012/november/tradoc_150104.pdf.

5.

European Commission (2013a). The 2012 EU Industrial R&D Investment Scoreboard, JRC/DGRTD, Retrieved December 15, 2013 from http://iri.jrc.ec.europa.eu/scoreboard.html.

6.

European Commission (2014a). The 2013 EU Industrial R&D Investment Scoreboard, JRC/DGRTD, Retrieved May 1, 2014 from http://iri.jrc.ec.europa.eu/scoreboard.html.

7.

European Commission (2013b). Statistical Overview of FP7 Implementation in 2012, Retrieved September 6, 2013 from http://ec.europa.eu/research/evaluations/pdf/archive/fp7_mo nitoring_reports/6th_fp7_monitoring_report.pdf.

8.

European Commission (2014b). The EU Framework Programme for Research and Innovation, Horizon 2020 programme sections, Retrieved May 1, 2014 from http://ec.europa.eu/programmes/horizon2020.

9.

Farouk Kamoun., et al. (2011). The Policy of the future: Trends and Recommendation : Establishing the EU-Mediterranean ICT Research Network', Information &Communication Technologies, Theme of the 7th Framework Programme.

10.

Hou, Liyang (2014). A review of telecom markets in the EU:What did the European Commission learn or not from the past?. Computer Law & Security Review, 30(6), 710-719.

11.

Jerman-Blazic, B. (2008). The development of research and innovation policies based on a benchmarking assessment:the case of mobile communications technology R&D in the new member states of the EU. Technology Analysis & Strategic Management, 20(2), 201-216.

12.

Marten, W., et al. (2011). Strategic niche management of social innovations:the case of social entrepreneurship. Technology Analysis & Strategic Management, 23(6), 667-681.

13.

Ministry of Employment & the Economy (2010). Demand & User driven Innovation Policy, Finland, Retrieved July 31, 2014 from https://www.tem.fi/files/27547/Framework_and_Action_Plan.pdf

14.

Moore, I. (2014). Cultural and Creative Industries Concept - A Historical Perspective. Procedia-Social and Behavioral Sciences,110(1), 738-746.

15.

OECD (2008). Dac peer review of Norway, Retrieved July 31, 2014 from http://www.oecd.org/dac/peer-reviews/Norway_FINAL_2013.pdf.

16.

Republic of Tunisia (2008). Tunisia ICT strategy, Retrieved May 2, 2014 from http://www.thieswittig.de/docs/MPC_Strategies/Tunisia/Tunis ia_ICT_Strategy.doc.

17.

Stancik, Juraj(2014). Targeting the Digital Agenda for Europe: a new approach for estimating ICT R&D expenditures. Info, 16(1), 45-61.

18.

Seo, D. (2012). The impact of EU’s R&D focused Policy on the innovation Edge of Mobile Industry. Procedia Social and Behavioral Sciences, Elsevier, 62, 595-601.

19.

Stancik, Juraj (2014). Targeting the Digital Agenda for Europe: a new approach for estimating ICT R&D expenditures. Info, 16(1), 45-61.

20.

The World Bank (2014). The Global Economy, Retrieved July 30, 2014 from http://www.worldbank.org/content/dam/Worldbank/GEP/GEP2014b/GEP2014b.pdf.

The Journal of Distribution Science