• Title/Summary/Keyword: Policy Network Analysis

Search Result 1,118, Processing Time 0.03 seconds

An Exploratory Study on the Korean National R&D Trends Using Co-Word Analysis (단어동시출현분석을 통한 한국의 국가 R&D 연구동향에 관한 탐색적 연구)

  • Seo, Wonchul;Park, Hyunseok;Yoon, Janghyeok
    • Journal of Information Technology Applications and Management
    • /
    • v.19 no.4
    • /
    • pp.1-18
    • /
    • 2012
  • This paper identifies technology trends of national research and development (national R&D) by exploiting Korean national R&D patents, ranging from 2007 to 2010. In this paper, co-word analysis (CWA), which is a method to identify the relationship among technology terms by using their co-occurrences, is incorporated into network analysis to visualize the relationships among technology keywords of national R&D patents and calculate network indexes concerning inter-relationship diversity and strength of technology keywords. As a result, this research found that inter-relationship among technology keywords in national R&D are getting increasingly strengthening in an overall sense. In addition, the keyword inter-relationship diversity-strength map proposed in this paper revealed some significant technological keywords of national R&D : core technology keywords including "sensor", "film" and "fuel" and emerging keywords including "biosensor" and "thermoelectric". Because the proposed approach helps identify interdisciplinary trends of technology keywords from a massive volume of national R&D patents in a visual and quantitative way, we expect that the approach can be incorporated as a preliminary into the R&D planning process to assist R&D policy makers to understand technology convergence of national R&D and develop relevant R&D policies.

Analysis of Trends for Weapon System Accidents Using Social Network Analysis (사회 연결망 분석을 활용한 무기체계 안전사고 동향 분석)

  • Kang, Eonbi;Park, Sanghyun;Kwon, Kiseok;Jeon, Jeonghwan
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.25 no.1
    • /
    • pp.82-95
    • /
    • 2022
  • Since military weapon accidents or breakdowns are directly linked to enormous damage, it is important to analyze the causes of weapons system accidents. Recently, in the defense sector, there have been cases in which budget has been saved through analysis of the causes of frequent breakdowns and improvement activities that have occurred in the process of operating weapon systems since 2015. But due to the nature of the defense sector, it is not easy to collect data and studies on weapons system accidents have been insufficient so far. Therefore, this study aims to investigate the causes and types of military weapon accidents by collecting military weapon accident data for military weapon systems and analyzing trends by weapon system classification through the analysis process. It analyzes statistically and visually through social network analysis, NodeXL. It is expected that this study will help improve the stability of the weapon system by reducing the number of military weapon accidents and failures.

A Study on Market Convergence Dynamics Based on Startup Data: Focusing on Korea (스타트업 데이터 기반의 시장융합 다이내믹스 분석: 한국을 중심으로)

  • Song, Chie Hoon
    • Journal of the Korean Society of Industry Convergence
    • /
    • v.25 no.4_2
    • /
    • pp.627-636
    • /
    • 2022
  • Market convergence plays an increasingly important role in sustaining competitiveness and providing impetus for the new product development. However, existing research focused mostly on the analysis of convergence at technology level. This study examines the phenomenon of market convergence based on the start-up data. Similar to the analysis of technology convergence, this study adopts the concept of co-classification analysis for constructing the co-occurrence matrix and the corresponding network. In this context, network centrality measures were calculated to assess the influence of individual market segments. Based on three metrics "growth", "persistence" and "novelty", the market convergence dynamics were explored and promising interactions between two distinct market segments were highlighted. The findings suggest that both segments "AI" and "blockchain" are acting as a driver that fosters market convergence in the startup landscape. The analysis results can provide valuable information for the R&D managers and policy makers in the design of targeted policies and programs, which can promote market convergence and interdisciplinary knowledge transfer.

Relationship Between Degree Centrality of Livestock Facilities in Vehicle Movement Network and Outbreak of Animal Infectious Disease (차량이동 네트워크에서의 축산시설 연결중심성과 가축 전염병 발생 사이의 관계)

  • Lee, Gyoung-Ju;Pak, Son-Il;Lee, Kwang-Nyeong;Kim, Han-Yee;Park, Jin-Ho;Hong, Sungjo
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.19 no.12
    • /
    • pp.353-362
    • /
    • 2018
  • The national loss caused by the periodic livestock epidemic is very large. In addition, vehicle movement is the main cause of livestock epidemics in Korea. In this context, this study analyzed the relationship between the degree centrality of livestock facilities and the outbreak of infectious diseases. For this purpose, a livestock vehicle movement network was constructed using the facility entrance data provided by KAHIS. Afterwards, the centrality index was derived for each facility in the vehicle movement network and the mean centrality index of the epidemic and non-epidemic facilities were compared. The analysis results are summarized as follows. First, the degree centrality of epidemic facilities is significantly greater than non-epidemic facilities. As a result of the analysis of the entire period data and the period-based data, in most data, the degree centrality of facilities where livestock infectious diseases occurred was significantly greater than most non-occurrence facilities. Second, in the entire period data, the difference in degree centrality between the epidemic and non-epidemic facilities was smaller for HPAI than for FMD. On the other hand, no significant difference was found in the results of the analysis according to the divided period. The policy implications of the results are as follows. First, proactive management of facilities based on centrality is needed. Second, in the case of cloven-hoofed animal facilities, it is more urgent to introduce a management policy based on the degree centrality.

Analysis concerning the latest operating concept and status for Air Defense Identification Zone(ADIZ) (최근 방공식별구역 운영 개념과 현황 분석)

  • Kim, Dongsoo;Hong, Sungpyo;Chong, Mangseok
    • Journal of Aerospace System Engineering
    • /
    • v.8 no.4
    • /
    • pp.44-51
    • /
    • 2014
  • This thesis analyzes the latest operating concept and status for Air Defense Identification Zone (ADIZ) researching overseas ADIZ CONOPS, international legal basis for ADIZ, the intention & background of proclamation for China Air Defense Identification Zone(CADIZ). Firstly, ADIZ is lawful concerning international connivance for ADIZ where around 20 countries have operated, Article 56 "Rights, jurisdiction & duties of the coastal State" and Article 301 "Peaceful uses of the seas" on the United Nations Convention on the Law of the Sea(UNCLS). Secondly, ADIZ has been regarded as a support means for national interest & policy as well as military air defense one. Thirdly, Based on legal re-interpretation for UNCLS relating to ADIZ, China proclaimed CADIZ where can ensure national maritime policy and strategy including A2/AD(Anti-Access & Area Defence), inroad into the ocean, claim for Senkaku Islands possession, etc..

A patent analysis method for identifying core technologies: Data mining and multi-criteria decision making approach (핵심 기술 파악을 위한 특허 분석 방법: 데이터 마이닝 및 다기준 의사결정 접근법)

  • Kim, Chul-Hyun
    • Journal of the Korea Safety Management & Science
    • /
    • v.16 no.1
    • /
    • pp.213-220
    • /
    • 2014
  • This study suggests new approach to identify core technologies through patent analysis. Specially, the approach applied data mining technique and multi-criteria decision making method to the co-classification information of registered patents. First, technological interrelationship matrices of intensity, relatedness, and cross-impact perspectives are constructed with support, lift and confidence values calculated by conducting an association rule mining on the co-classification information of patent data. Second, the analytic network process is applied to the constructed technological interrelationship matrices in order to produce the importance values of technologies from each perspective. Finally, data envelopment analysis is employed to the derived importance values in order to identify priorities of technologies, putting three perspectives together. It is expected that suggested approach could help technology planners to formulate strategy and policy for technological innovation.

Influence of R&D intensity on Innovation Performance in the Korean Pharmaceutical Industry: Focusing on the Moderating Effects of R&D Collaboration

  • Kim, Dae-Joong;Om, Kiyong
    • Knowledge Management Research
    • /
    • v.19 no.3
    • /
    • pp.189-223
    • /
    • 2018
  • This paper examined the effect of innovation networks comprising research and development (R&D) collaboration on innovation performance of Korean pharmaceutical firms. As co-assigned patents and co-affiliated publications are common technical outcomes of successful R&D collaboration in the pharmaceutical industry, social network analysis technique was applied for analyzing innovation networks through patent and publication data. Results of Social network analysis indicated that a small set of highly innovative firms in the Korean pharmaceutical industry were actively involved in patenting and publishing. And the analysis of structural equation model found the followings: (1) R&D intensity significantly affected patenting, publication and new drug development, (2) the activity of patenting and publishing was positively related with the innovation performance measured by new drug development, and (3) R&D collaboration in terms of degree centrality of co-patent network played significant moderating roles on the relationships among R&D intensity, patenting, and new drug development. These findings are expected to be helpful to researchers as well as policy-makers to devise innovation-promoting policies in the Korean pharmaceutical industry. Discussions and limitations of the study are provided in the last part.

Semantic Network Analysis for the President Directions Item : Focusing on Patterns(2001~2009) (대통령 지시사항에 대한 의미연결망 분석 : 2001년~2009년의 정권별 패턴을 중심으로)

  • Jung, Yuiryong
    • The Journal of the Convergence on Culture Technology
    • /
    • v.4 no.1
    • /
    • pp.129-137
    • /
    • 2018
  • The aim of this study is to analyze the President Directions Item using Semantic Network Analysis. This study has three contributions. First, this study shows the difference of policy directions through the frequency and contents of key words. Second, this study suggest patterns changes of decision-making of the president and bureaucracy through the key words network structure. Third, this study infers the interaction between the president's will and context of institutions.

A Proposal for SmartTV Development Plan by Applying Big Data Analysis Methodology (빅데이터 분석 방법을 적용한 스마트 TV의 발전 방안에 관한 제언)

  • Park, Nam-Gue;Kim, Sun-Bae
    • Journal of Digital Convergence
    • /
    • v.12 no.1
    • /
    • pp.347-358
    • /
    • 2014
  • A smart TV is able to show terrestrial broadcasting and also can be used as a computer -VOD, games, image communications, application utilities and so on. In order to carry out Smart TV business, it has to contains contents, platforms, network terminal unit. If ill-equipped with any of these aboves, it must cooperate with other licensee. Therefore, Smart TV business is necessary to cooperate with each business agent. In this paper, we will look into domestic/foreign country Smart TV market, policy, vitalization strategy, and suggest the application of big data analysis methodology for Smart TV vitalization method - 1) hardware infrastructure building based on cloud computing 2) Network upgradability acceptable traffic increase 3) Technical development cooperation between each licensee 4) Variable Smart TV contents supply 5) Cooperation with party interested individuals in using UX/UI for N-Screen, network traffic estimation may increase, customized supply smart contents for consumer in real time.

Theory of Network city and perspective on development of the Yeongnam region (네트워크도시 이론과 영남권 지역의 발전 전망)

  • Choi, Byung-Doo
    • Journal of the Korean association of regional geographers
    • /
    • v.21 no.1
    • /
    • pp.1-20
    • /
    • 2015
  • This paper is to provide some suggestions to complement and extend theory of network city, and to consider preliminarily its applicability for development of the Yeongnam region, exploring its normative implications for urban and regional policy and its significance of empirical research. In order to resolve some limitations and problems of network city theory and of empirical research, we need to reconsider systematically analysis methods, to extend indices of connectivity, to reconfirm normative characters inherent in network city theory, to suggest the constitution of cooperative governance, and to develop policies for embedding functional connectivity into internal community. In a preliminary analysis of Yeongnam region on the basis of network city theory, it is not clear whether the urban system of the region is entirely a type of network city, even though it seems to be close to network city. However, in order for the Yeongnam region to orient towards network city, we can point out importance of policy issues such as expansion of transportation and communication infrastructure, strengthening of economic connectivity, constitution of cooperative governance, and local embeddedness of functional network within the region.

  • PDF