With an advent of recent knowledge-based society, the interest in intellectual property has increased. Firms have tired to result in productive outcomes through continuous innovative activity. Especially, ICT firms which lead high-tech industry have tried to manage intellectual property more systematically. Firm's interest in the patent has increased in order to manage the innovative activity and Knowledge property. The patent involves not only simple information but also important values as information of technology, management and right. Moreover, as the patent has the detailed contents regarding technology development activity, it is regarded as valuable data. The patent which reflects technology spread and research outcomes and business performances are closely interrelated as the patent is considered as a significant the level of firm's innovation. As the patent information which represents companies' intellectual capital is accumulated continuously, it has become possible to do quantitative analysis. The advantages of patent in the related industry information and it's standardize information can be easily obtained. Through the patent, the flow of knowledge can be determined. The patent information can analyze in various levels from patent to nation. The patent information is used to analyze technical status and the effects on performance. The patent which has a high frequency of citation refers to having high technological values. Analyzing the patent information contains both citation index analysis using the number of citation and network analysis using citation relationship. Network analysis can provide the information on the flows of knowledge and technological changes, and it can show future research direction. Studies using the patent citation analysis vary academically and practically. For the citation index research, studies to analyze influential big patent has been conducted, and for the network analysis research, studies to find out the flows of technology in a certain industry has been conducted. Social network analysis is applied not only in the sociology, but also in a field of management consulting and company's knowledge management. Research of how the company's network position has an impact on business performances has been conducted from various aspects in a field of network analysis. Social network analysis can be based on the visual forms. Network indicators are available through the quantitative analysis. Social network analysis is used when analyzing outcomes in terms of the position of network. Social network analysis focuses largely on centrality and structural holes. Centrality indicates that actors having central positions among other actors have an advantage to exert stronger influence for exchange relationship. Degree centrality, betweenness centrality and closeness centrality are used for centrality analysis. Structural holes refer to an empty place in social structure and are defined as efficiency and constraints. This study stresses and analyzes firms' network in terms of the patent and how network characteristics have an influence on business performances. For the purpose of doing this, seventy-four ICT companies listed in S&P500 are chosen for the sample. UCINET6 is used to analyze the network structural characteristics such as outdegree centrality, betweenness centrality and efficiency. Then, regression analysis test is conducted to find out how these network characteristics are related to business performance. It is found that each network index has significant impacts on net income, i.e. business performance. However, it is found that efficiency is negatively associated with business performance. As the efficiency increases, net income decreases and it has a negative impact on business performances. Furthermore, it is shown that betweenness centrality solely has statistically significance for the multiple regression analysis with three network indexes. The patent citation network analysis shows the flows of knowledge between firms, and it can be expected to contribute to company's management strategies by analyzing company's network structural positions.
Journal of the Korea Academia-Industrial cooperation Society
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v.15
no.4
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pp.2062-2073
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2014
Relationship learning is very important to grow and develop interorganization. Greatly to ours regret, relationship learning study have left unexplored with regard to interfirm's relationship. The purpose of this study is to analyze the effects of relationship benefits on relationship learning and cooperation of buyer-seller in food material industries. We collected statistically usable data from 228 questionnaire respondents who deal with food firms and analyzed them with SPSS 20.0 and Amos to achieve research's goals. Analysis results revealed that, first, relational benefits of economical benefits and psychological benefit had impacts on relationship learning between buyer and seller in food material channel market. Second, the survey found that relationship learning has impact on collaboration. Third, on the other hand, relationship benefits of social benefits had no effect relationship learning. Summary and strategy implication will be mention in conclusion.
There has been emerging general agreement on the relative importance of producer services in a economy. This research describes the spatial patterns and trends in producer services at different spatial scales. The other research aim is to explain the impacts of producer services on spatial changes at the national level and at the intra-metropolitan level in Seoul. Producer services have highly concentrated in metropolises, especially Seoul. Between 1986 to 2001, an important spatial change in the producer services at the national level has been their growth in the Capital Region, reinforcing the role and function of Seoul. This reinforced role of Seoul is closely related to its competitive advantages arising from economies of urban. There have been some dramatic changes in the location of producer services within Seoul. The most important change was the growth of the Youngdong area, previously a sub-center for businesses, as the most important location for producer services, exceeding the previous dominant role of the CBD area. The changing urban form of Seoul is partly related to the onset of some diseconomies of urbanization in the CBD, while at the same time Youngdong has reached a stage at which it is benefiting from the agglomeration of a variety of firms, in addition to a favourable social and physical infrastructure.
A local government is not a group under central government, rather it fulfills the function independently as a economic social administrative unit. Belief and role of chief of regional government, and citizen's understanding and interest regarding importance of an election pledge are getting higher. Thus, this study researches election pledges which can be a main variable of urban plan. Especially, the study attempts to analyze impacts of election pledge on urban spatial structure and regional economic structure. When relationship between election pledge and Use Zoninig change were analyzed, the result showed that development related entire use Use Zoninig changes were related with election pledge. When it was subdivided according to each use area, relationship of use area change among election pledge and urban spatial structure found to have relatively high in resident area. In addition, relationship between population factor and election pledge was high. This can be judged as election pledge and urban spatial structure change have relationship. Particularly, sectors related with residents are expected to have high correlation. As a result, pledges regarding general welfare administrative part were a few at areas with many pledges regarding regional economic development. So, it can be classified as regional economic development oriented pledge suggesting area and welfare administrative oriented suggesting area. Through realization of these pledges, it might be able to affect urban spatial structure changes.
The standard is a nation's one of the most important industrial issues that improve the social and economic efficiency and also the basis of the industrial development and trade liberalization. This research analyzes the enactment and the utilization of Korean industrial standards(KS) of various industries. This paper examines Korean industries' KS utilization status based on the KS possession, enactments and inquiry records. First, we implement multidimensional scaling method to visualize and group the KS possession records and the nation's institutional issues. We develop several hypothesis to find the decision factors of how each group's KS possession status impacts on the standard enactment activities of similar industry sectors, and analyzes the data by implementing regression analysis. The results show that the capital intensity, R&D activities and sales revenues affect standardization activities. It suggests that the government should encourage companies with high capital intensity, sales revenues to lead the industry's standard activities, and link the policies with the industry's standard and patent related activities from R&D. Second, we analyze the impacts of each KS data's inquiry records, the year of enactments, the form and the industrial segment on the utilization status by implementing statistical analysis and decision tree method. The results show that the enactment year has significant impact on the KS utilization status and some KSs of specific form and industrial segment have high utilization records despite of short enactment history. Our study suggests that government should make policies to utilize the low-utilized KSs and also consider the utilization of standards during the enactment processes.
The purpose of this study was a comparative of the differences, relationships and impacts between the self-concept and career development for elementary schoolers by gender. The subjects of this study were 259(133 boys and 126 girls) elementary schoolers. The instrument used in this study was Jung Jong Jin's(1996) self-concept Inventory and Ahn Chang gyu & Ahn Hyeon eui's(2006) Holland career development Inventory. The collected data were analyzed with a SPSS 12.0 program. The major findings of the study were as follows: (1) the mean score of boy(M=54.857, SD=7.593) was higher than girl(M=52.302, SD=8.908) in 'emotional-self'. (2) (1) the mean score of girl(M=42.200, SD=5.918) was higher than boy(M=37.372, SD=7.600) in 'gender-related prejudice about occupation'. (2) the mean score of boy(M=36.544, SD=5.544) was higher than girl(M=35.008, SD=5.118) in 'autonomy' (3) the revealed that self-concept was highly correlated with boy's(r=.175~.761) and girl's(r=.199~.667) career development. (4) (1) the 'academic-self' had an impact of the boy's(5.6%~56.3%) and girl's(8.4%~48.7%) career development. (2) the 'social-self' had an impact of the boy's(2.6%~5.9%) and girl's(2.7%~4.3%) career development. (3) the 'emotional-self' had an impact of the boy's(1.9%~37.0%) and girl's(11.2%) career development. (4) the 'physical-self' no had an impact of the boy's and girl's career development. The findings of the study illustrated that the self-concept for elementary schoolers had an impact career development.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.7
no.2
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pp.167-175
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2012
This paper study about how government start-up promotion policies have strongly impacts on business startup pattern and its performance. In Korea, the economic crisis of the late 1990s, the recession continues to stumble, and corporate restructuring occurs, let a small mass of unemployed, the Soho establishment 'Sojabon' started brewing two booms. Small business owners and their economic contribution to this portion of the axis with respect to support economic growth theory, on the basis that you need to install the Support Center for more small business owners and small business owners and social atmosphere, changing the term action to promote the establishment and growth of employment opportunities through by creating regional, has been promoting the balanced development of between business. This scheme focus on examining the types and characteristics of the government support schemes with respect to start-process business plan completion, financing capability, utilizing level of experts, location advantage, level of industry differentiation. Results of this study shows how significantly entrepreneurship influence on business startup pattern determining successful performance of business startup and let potential entrepreneur utilize it as to proceed business planning and establishing strategies.
This research is to examine the impacts of the on-going global financial crisis on the housing systems of welfare states. Four developed economies in the Western Europe were selected for the analysis, and the qualitative research employed in-depth interviews with scholars in the fields of housing market and social policy in order to meet the research goal. The major findings indicate that the global economic crisis embedded into the liberalization of housing finance and the inadequacy of regulatory measures caused the vicissitude of housing markets, and its scale and magnitude could be determined by the resilience of each state's housing system. While the globalization of housing finance markets rendered easy borrowing for homeownership, intensive competition for excessive lending among financial institutions backed by heavy reliance on inter-bank and overall bank triggered market volatility, and further worsened household and public debts. It's clearly evident that a housing system with varied safety nets becomes a greater cushion to bear the risks of the financial crisis and to weather the economic storm.
Purpose - As the US-China trade war intensifies and lasts long time, there is growing concern about its potential effects on the global economy. In particular, for the countries like Korea that have a large economic dependence on the economy of the two countries, the US-China trade war may have a great repercussion in many ways. The aim of this paper is to investigate the global productivity and market structure implications of the US-China trade war for Korea, as well as for other surrounding countries and regions. Design/methodology - In this paper, we develop a full multi-country/region multi-sector computable general equilibrium (CGE) model of global trade incorporating heterogeneous workers and firms in individual skill levels and used technologies. We then calibrate the model using a global Social Accounting Matrix (SAM) dataset extracted from the recently released GTAP 10 Database, and assess the potential effects of the US-China trade war on the aggregate real productivity and the market structure for Korea, as well as for other surrounding countries and regions. Findings - We show that the US-China trade war may largely affect the aggregate productivity in each sector in each country/region, as well as the global market structure through entry and exit of firms, which results finally in considerable changes in the industrial comparative advantage of each country/region. Though the effects are diverse sector by sector, the results show that Korea may also be affected significantly: concerning the real productivity implications, it is shown that the machinery industry may be affected the most negatively; on the other hand, it is shown that the number of exporting firms may decrease the most in the other transports industry. Originality/value - As the US-China trade war intensifies, many studies have tried to estimate the possible implications, and for this usually the CGE models have largely been used as the standard tool for evaluating the impacts of changes in trade policies. Standard CGE models, however, cannot be used to assess the global productivity and market structure implications due to the symmetric and simplified base assumptions. This paper is the first to analyze and quantify the possible impacts of the US-China trade war on the aggregate productivity and global market structure using a CGE model incorporating endogenous skill-technology assignment of heterogeneous workers and firms.
The purpose of this study is to investigate the effect of labor market policy on fiscal soundness of welfare state. The analysis was carried out using cross-sectional panel data regression analysis, stepwise mediating effect analysis and system GMM designed by Baron and Kenny(1986) based on the data from 1985 to 2015 for 20 OECD countries. In setting up the analysis model, this study considers the interaction effect between active and passive labor market policies as well as the time sequence of the outcomes which have been overlooked in the previous studies. The result shows that labor market policies have significant impacts on the fiscal condition of welfare states, which is measured as the levels of national debt in this study. Especially the expenditure on active labor market programs has a positive effect on improving the fiscal soundness of welfare states by promoting the employment rate. In contrast, passive labor market programs expenditure is negatively associated with employment rate growth and it exacerbates the burden of national debt in the short-term. However, when active labor market programs and passive labor market programs are combined, the negative impacts by passive pabor market policies on the fiscal soundness of welfare states are off-set. Therefore this study addresses that although the expansion of the labor market policies can be inimical to the fiscal soundness of welfare states in the short-term, in the long run, they can have effective roles in securing and promoting the fiscal soundness of the welfare states by promoting the employment rate.
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