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on Technology and Industrial Dynamics |
| By: | Jae Sung Kim (KISTI); Sung Uk Park (KISTI); Eun Jin Kim (KISTI) |
| Abstract: | Manufacturing industry has been playing a central role in the economic development of South Korea. According to Deloitte’s report, the manufacturing industry of South Korea accounts for 30% of GDP and was ranked 5th in 2013 for its manufacturing competitiveness index. South Korean manufacturing companies have grown rapidly in the past decade, but productivity gains and overseas expansion have made it a “jobless growthâ€. Employment and job creation in South Korea have shifted from the manufacturing sector to the service sector after the 1990’s. Fortunately, manufacturing service has become a new source of job creation in South Korea. In general, manufacturing includes a range of activities in addition to production. Service-like activities such as R&D, product design and business planning have become a larger share of manufacturing company’s total business activities.It is well known that Industry is on the threshold of its next revolution driven by the use of Internet of Things and Big data. Therefore, advanced manufacturing countries have been introducing a new national competitive plan, including the Industry 4.0 of Germany and the NNMI(National Network for Manufacturing Innovation) of the U.S., to promote and restore their own manufacturing industry by utilizing cyber-physical linking technologies like the CPS(Cyber Physical System) of Industry 4.0. The proposed modeling & simulation 4.0 plan is a South Korean manufacturing industry innovation plan which is to promote the manufacturing service industry of South Korea by proliferating a supercomputing based product modeling and simulation in the product development activities of manufacturing companies. Supercomputing based product modeling and simulation in a cyber space will play a key role in linking the virtual and physical world. By increasing the high performance computing(HPC) usages of manufacturing companies and expanding the business areas of modeling and simulation service companies, modeling & simulation 4.0 will be not only a great help to reduce the time and cost associated with developing and manufacturing a product but also will help in creating a large number of high value added jobs in South Korea. |
| Keywords: | Modeling and simulation, Product development, Supercomputing, High performance computing, Manufacturing service |
| JEL: | A10 A19 L60 |
| Date: | 2014–10 |
| URL: | http://d.repec.org/n?u=RePEc:sek:iacpro:0702466&r=tid |
| By: | Francesco Bogliacino |
| Abstract: | In this article we discuss how to summarize the persistent and large heterogeneity in innovative behaviour and economic performance. A Revision of the Pavitt (1984) taxonomy - covering manufacturing and services, as well as ICT activities – is proposed as a key tool for identifying common characteristics and diversities in patterns. An extensive analysis of Innovation Survey data, on sources, objectives, inputs and outcomes of innovation, allows us to test alternative industry groupings, leading to an extensive assessment of a Revised Pavitt Taxonomy that is able to capture major structural differences in the relationship between innovation and performance. As industries' classifications has changed from NACE Rev.1 to NACE Rev.2 in 2008, a Revised Pavitt taxonomy is also provided for the new industries. |
| Keywords: | Innovation, Innovation Surveys, Pavitt Taxonomy. |
| JEL: | O30 O33 |
| Date: | 2015–03–16 |
| URL: | http://d.repec.org/n?u=RePEc:col:000178:012631&r=tid |
| By: | Yong-gook Bae (Korea Institute of S&T Evaluation and Planning); Young-Hyun Jin (Korea Institute of S&T Evaluation and Planning) |
| Abstract: | The technological convergence, or the technological fusion, has become more important to create new technologies as well as new industries. As increasing of importance, we reviewed the IPC co-classification and citation information of the United States and Korean patents in 2009, 2010 and 2011. Network analysis methods and indexes including as a degree centrality and a betweenness centrality are used to analyze the characteristics of the technological convergence trends.Various networks were created based upon IPC co-classification and citation information in each country and year. In addition, IPC citation was utilized information between the patents which has different IPCs. Also, in the case of Korean patents, networks were created and analyzed to find the characteristics according to the types of institution such as university, public institution and business entity. Through the analysis, it was found that the trends and the uniqueness of the convergence researches. Those results shows the differences between two countries, the differences and changes between degree centrality and betweenness centrality, the differences between co-classification and citation. Also, it was found that the change according to each years from 2009 to 2011. |
| Keywords: | patent, convergence, technology, SNA |
| JEL: | D85 O32 O33 |
| Date: | 2014–12 |
| URL: | http://d.repec.org/n?u=RePEc:sek:iacpro:0902815&r=tid |