Technology Security, especially in knowledge-intensive society, is becoming the most important organizational activity for the long-term success of a firm. However, there is not sufficient empirical research of activities of technology securities and business performance. This is one of the reason why Korean firms are reluctant to invest their resources to the technology security. We have tried to empirically analyze the relationship between a market and technological characteristics, which is one of the important business environmental characteristics and the activities of technology securities of Korean business firm by taking three hypotheses related to this research and investigating 209 Korean firms. According to the statistical research, results of the analyses suggest that the market and technological characteristics have positive impact on the activities of technology securities. Also the activities of technology securities have positive impact on the performance of technology security. More specifically, the results suggest that the relationship between the competitiveness of market and technological excellency and the activities of technology securities is supported statistically. But, the reverse relationship between the easiness of market entrance and the activities of technology securities is supported statistically. Also, there is no moderating effect of firm size between the relationship between a market and technological characteristics and the activities of technology securities. Finally, the relationship between the activities of technology securities and the risk of technology leakage is supported statistically.
Park Su-Hyun;Ha Seung-Ho;Kim Kyong-Min;Park Chan-Hyuk;Kim Kyong Ju
Proceedings of the Korean Institute Of Construction Engineering and Management
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2004.11a
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pp.526-530
/
2004
The portion of plant industry has increased within construction market. In spite of plant industry is dynamic field which leads state-of-the-art and creates a value, phased information management and knowledge intensive business accomplishment are insufficient. Henceforth plant is expected to demand increment of industrial project from hereafter international plant industry market. The continuous plan technique and know-how accumulation are urgent from domestic. 1'his research analyzes the areas in which domestic plant industry is insufficient and then elicits project management key success factors from current operation process. In addition, this research compares domestic plant level with overseas plant level. This study establishes work models for critical work phases based on the analysis of domestic plant technical level.
Journal of Fisheries and Marine Sciences Education
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v.23
no.3
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pp.361-373
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2011
In line with post-1970s industrialization, the manpower shortage in fishing villages has been fueled by rapid desertion; young adults and middle-aged people have tended to avoid fishing by migrating to cities, driving the emergence of a national issue in terms of securing fisheries management succession. For the fisheries industry to maintain competitiveness, we need to cultivate young adults and middle-aged people to be leaders of the domestic fishing industry through promoting inspiration for the fishing industry, teaching fisheries expert knowledge, and fostering the ability to promote business. In addition to safe supply of marine products through continued fisheries operation, securing young and skilful workers is essential in order to promote balance development of domestic industries, including job creation. The study therefore seeks to provide measures to foster specialists in order to enable the transfer of management through an opinion survey of fishermen. To cultivate specialists for enabling the transfer of management, the following solution should be promoted at the state level. First, to support the introduction of young and talented workers to the fisheries industry through transfer of management, Second, in order to enable the transfer of management, change is required first in the fisheries industry for it to become a value-added industry. Third, despite fisheries being a composite industry that is syncretized to tertiary industries from primary industries, the fisheries industry is still recognized as a labor intensive industry, which reflects the current status of fisheries education.
Journal of Korean Society of Industrial and Systems Engineering
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v.22
no.51
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pp.175-187
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1999
The notion of productivity has been extended from the quantitative change of input factors to the efficiency change meaning efficient use of resources, and to the technical change meaning the qualitative improvement of input resources. In this way, the technical change is termed as total factor productivity in the individual businesses or the manufacturing industries. They should efficiently respond to the variations of economic environment and at the same time, have to make the efforts to improve productivity by increasing managerial efficiency and rasing the level of technology change for the continuous growth. Considering the growing importance of productivity, this study closely examines the factors influctuation on the productivity, fluctuation using total factor productivity in korean manufacturing industries. For the objective this study investigates the methods of measurement about total factor productivity, establishes the hypotheses based on the preceding research and finding. The results are obtained through the examination on the outcoms of regression analysis and related data. The results can be summarized as follows, First, in the progress of korean industrialization, the qualitative growth does not depend on the total factor productivity of the technical advance, and does not lead to the industry expansion. That is, the contribution of total factor productivity turns out to be relatively low. Second, it is necessary for the manufacturing industry to improve the level of technology and to emphasize the innovation of business, since the capital investment does not completely become fixed in the growth rate of productivity. Finally, continuous R&D investment should be made to increase total factor productivity. Namely, the regulation of industrial structure with an intensive technical development is essential and should be based on scientific and technical knowledge.
The paper aims to analyze the logic and power of open source software (OSS), and to show the ways in which Korean government and companies support developing countries in the field of software development. Many developing countries are considering software industry to be a strategic industry due to the fact that software industry seems to be labor-intensive, or rather knowledge-intensive industry. In this regard, developing countries without huge financial investment can achieve certain level of economic development while leveraging software industry. Concerning software development tools, among recent trends OSS has been regarded as a viable alternative software development tool for developing countries. In developing countries, OSS is believed to resolve some difficulties caused by proprietary software such as Microsoft Windows, which is too expensive to buy for users and developers in low-income developing countries. In this sense, OSS has been considered as only solution for software developing because OSS is able to reduce the cost of software development and to enhance the technological capabilities of developing countries. In addition to the benefit of low cost, we have to shed light on the business model of OSS that is not to sell software licence, but to provide technical support and services. In order to use OSS as much as they can, developing countries have to invest for educating human resources who can develop and implement software system using OSS. These OSS-related policies can lead developing countries to developed countries.
Recent interests in data mining result from the expansion of the amount of business data and the growing business needs for extracting valuable knowledge from the data and then utilizing it for decision making process. In particular, recent advances in association rule mining techniques enable us to acquire knowledge concerning sales patterns among individual items from the voluminous transactional data. Certainly, one of the major purposes of association rule mining is to utilize acquired knowledge in providing marketing strategies such as cross-selling, sales promotion, and shelf-space allocation. In spite of the potential applicability of association rule mining, unfortunately, it is not often the case that the marketing mix acquired from data mining leads to the realized profit. The main difficulty of mining-based profit realization can be found in the fact that tremendous numbers of patterns are discovered by the association rule mining. Due to the many patterns, data mining experts should perform additional mining of the results of initial mining in order to extract only actionable and profitable knowledge, which exhausts much time and costs. In the literature, a number of interestingness measures have been devised for estimating discovered patterns. Most of the measures can be directly calculated from what is known as a contingency table, which summarizes the sales frequencies of exclusive items or itemsets. A contingency table can provide brief insights into the relationship between two or more itemsets of concern. However, it is important to note that some useful information concerning sales transactions may be lost when a contingency table is constructed. For instance, information regarding the size of each market basket(i.e., the number of items in each transaction) cannot be described in a contingency table. It is natural that a larger basket has a tendency to consist of more sales patterns. Therefore, if two itemsets are sold together in a very large basket, it can be expected that the basket contains two or more patterns and that the two itemsets belong to mutually different patterns. Therefore, we should classify frequent itemset into two categories, inter-pattern co-occurrence and intra-pattern co-occurrence, and investigate the effect of the market basket size on the two categories. This notion implies that any interestingness measures for association rules should consider not only the total frequency of target itemsets but also the size of each basket. There have been many attempts on analyzing various interestingness measures in the literature. Most of them have conducted qualitative comparison among various measures. The studies proposed desirable properties of interestingness measures and then surveyed how many properties are obeyed by each measure. However, relatively few attentions have been made on evaluating how well the patterns discovered by each measure are regarded to be valuable in the real world. In this paper, attempts are made to propose two notions regarding association rule measures. First, a quantitative criterion for estimating accuracy of association rule measures is presented. According to this criterion, a measure can be considered to be accurate if it assigns high scores to meaningful patterns that actually exist and low scores to arbitrary patterns that co-occur by coincidence. Next, complementary measures are presented to improve the accuracy of traditional association rule measures. By adopting the factor of market basket size, the devised measures attempt to discriminate the co-occurrence of itemsets in a small basket from another co-occurrence in a large basket. Intensive computer simulations under various workloads were performed in order to analyze the accuracy of various interestingness measures including traditional measures and the proposed measures.
Due to the characteristic that early childhood education is a process of nurturing children's senses by a leader rather than the transfer of knowledge, even in the era of with Corona, early childhood distance education is not one-to-one non-face-to-face education, but rather through distributed materials such as early childhood education packages or media such as TV. Distance education was conducted in a self-care method. Through a review of prior research and intensive parent interviews, the researcher identified the requirements for distance education, such as the expansion and accessibility of educational contents, understanding of basic knowledge of early childhood distance education, and the need to increase children's social skills through real-time distance education. It was identified that the current distance education-related solutions are not suitable for early childhood education. Accordingly, the researcher presents the basic direction (VERI) of the early childhood distance education solution of diversity, ease, real-time communication, and integration, and provides a Web/App platform that allows children, parents, and teachers to share content and communicate in real time and in non-real time. The development of a solution was proposed. This distance education solution is expected to effectively support early childhood distance education in the era of With Corona as infants, parents, and teachers communicate and share the current situation, which is only presenting guidelines and materials.
Motivation and activities for technological learning, entrepreneurship, innovation, and creativity are driving forces of economic development in Asian countries. In the early stages of technological development, technological learning and entrepreneurship are efficient ways in which to catch up with advanced countries because firms can accumulate skills and knowledge quickly at relatively low risk. In the later stages of technological development, however, innovation and creativity become more important. This study aims to identify a) the factors (learning capabilities) that influence technological learning performance and b) barriers to enhancing innovation capabilities for the creative economy and organizations. The major part of this study is related to learning capabilities in the post-catch-up era. Based on a literature review and observations from Korean experiences, this study proposes a technological learning model composed of various influencing factors on technological learning. Three hypotheses are derived, and data are collected from Korean machine tool manufacturers. Intense interviews with CEOs and R&D directors are conducted using structured questionnaires. Statistical analysis, such as correlation and ANOVA are then carried out. Furthermore, this study addresses how to enhance innovation capabilities to move forward. Innovation enablers and barriers are identified by case studies and policy analysis. The results of the empirical study identify several levels of firms' learning capabilities and activities such as a) stock of technology, b) potential of technical labor, c) explicit technological efforts, d) readiness to learn, e) top management support, f) a formal technological learning system, g) high learning motivation, h) appropriate technology choice, and i) specific goal setting. These learning capabilities determine firms' learning performance, especially in the early stages of development. Furthermore, it is found that the critical factors for successful technological learning vary along the stages of technology development. Throughout the statistical and policy analyses, this study confirms that technological learning can be understood as an intrinsic principle of the technology development process. Firms perform proactive and creative learning in the late stages, while reactive and imitative learning prevails in the early stages. In addition, this study identifies the driving forces or facilitating factors enhancing innovation performance in the post catch-up era. The results of the preliminary case studies and policy analysis show some facilitating factors such as a) the strategic intent of the CEO and corporate culture, b) leadership and change agents, c) design principles and routines, d) ecosystem and collaboration with partners, and e) intensive R&D investment.
Journal of the Korea Academia-Industrial cooperation Society
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v.12
no.3
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pp.1270-1277
/
2011
Since the pharmaceutical industry is a research oriented sector, the research and development capability based on the qualified R&D manpower is one of the key success factors to strengthen the national competitiveness. Securing the appropriate number of researcher needed for the research activities in these fields is an important precondition for a government policy that aims for a strongly knowledge-intensive the pharmaceutical industry growth. In this study, we conducted and analyzed a delphi survey of the experts(the principal investigators) with expertise in these pharmaceutical research areas. The current and future requirements for the pharmaceutical science research personnel including medical doctors have been evaluated, extending the year 2017. The results of this study can be summarized as follows; First, in 2007 the field of pharmaceutical R&D personnel is currently under-supplied as many as about 5,600 people. The rate of under-supplied is about 18.1%. Second, in 2017 the evaluation shows that the R&D personnel in this field will be more severely under-supplied as many as 13,500 people. The rate of under-supplied will be about 28.6%. As a result, the confrontation of demand and supply evaluation shows that, in general, severe shortages of R&D manpower in the field of pharmaceutical will result if there are not adequate manpower policy adjustment.
One of the key mission is to develop and prompte the use National Competency Standards, which is defined to be the systemization of competencies(knowledge, skills and attitudes) required to perform duties at the workplace by the nation for each industrial sector and level. This provides the basis for the design of training and detailed specifications for workplace assessment. To promote the data-driven service improvement, the commercial product Splunk was introduced, and has grown to become an extremely useful platform because it enables the users to search, collect, and organize data in a far more comprehensive, far less labor-intensive way than traditional databases. Leveraging Splunk's built-in data visualization and analytical features, HRD Korea have built custom tools to gain new insight and operational intelligence that organizations have never had before. This paper analyzes the NCS homepage. Concretely, applying Splunk in creating visualizations, dashboards and performing various functional and statistical analysis and structure without Web development skills. We presented practical use and implications through case studies.
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