• Journal of Information Technology Services
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• v.11 no.1
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• pp.83-92
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• 2012

The development of science and technology oriented knowledge society accelerates the convergence between scientific theory and industrial technology and increases the complexity problem of social and economic sectors. These cause the difficulty of securing the reliability and objectivity of science and technology policy. These also are barriers of balanced evaluation between rational science and technology policy making, management, and policy coordination. In this regard, Advanced countries in science and technology develops policy support system and promotes the program of evidence-based SciSIP(Science of Science and Innovation policy) together. This paper introduces a new approach developing science service of science and technology policy utilizing business intelligence technology in Korea. Also, it proposes the integration method of policy knowledge base and component-based service supporting S&T policy decision-making process and introduces services case studies.

• Journal of Industrial Convergence
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• v.15 no.1
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• pp.17-32
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• 2017

The purpose of this study is to evaluate financial models that can predict corporate bankruptcy with diverse studies on evaluation models. The study uses discriminant analysis, logistic model, decision tree, neural networks as analyses tools with 18 input variables as major financial factors. The study found meaningful variables such as current ratio, return on investment, ordinary income to total assets, total debt turn over rate, interest expenses to sales, net working capital to total assets and it also found that prediction performance of suggested method is a bit low compared to that in literature review. It is because the studies in the past uses the data set on the listed companies or companies audited from outside. And this study uses data on the companies whose credibility is not verified enough. Another finding is that models based on decision tree analysis and discriminant analysis showed the highest performance among many bankruptcy forecasting models.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.73-87
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• 2019

The purpose of this study is to clarify the continuous usage intention of artificial intelligence products and services. In this study, we try to define the artificial intelligence quality and preference on the online job information platform and investigate the effect of artificial intelligence on continues usage intention. A survey of artificial intelligence users was conducted and recalled 184. The empirical analysis shows that the artificial intelligence quality and preference have a positive effect on satisfaction, and that the satisfaction has significant effect on the intention of continuing use. but the artificial intelligence quality does not significantly affect the intention of continuing use. These results are expected to provide useful guidelines for artificial intelligence technology products or services in the future.

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.165-172
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• 2020

Industrial Revolution means the improvement of productivity through technological innovation and has been a driving force of the whole change of economic system and social structure as the characteristic of technology as the tool of this productivity has changed. Since the first industrial revolution of the 18th century, productivity efficiency has been advanced through three industrial revolutions so far, and this fourth industrial revolution is expected to bring about another revolution of production. In this study, the demand for the introduction of artificial intelligence(AI) technology has been increasing in various business fields due to the rapid development of ICT technology, and the classification of HS(harmonized commodity description and coding system) items has been decided using artificial intelligence technology, which is the core of the fourth industrial revolution. And it is enough to construct HS classification system based on AI technology using inference and deep learning. Performing the HS item classification is not an easy task. Implementation of item classification system using artificial intelligence technology to analyze information of HS item classification which is performed manually by the current person more accurately and without any mistake, And the customs administrations, customs offices, and customs agencies, it is expected to be highly utilized in the innovation of trade practice and the customs administration innovation FTA origin agent.

• The Korean Journal of Health Service Management
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• v.10 no.2
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• pp.59-70
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• 2016

Objectives : This study was done to identify the influences of workplace spirituality and emotional intelligence on the organizational citizenship behavior of clinical nurses. Methods : The subjects were 230 clinical nurses, working over 6 months in four general hospitals in three cities. Data were obtained from March 20 to March 30, 2016, with a self-report questionnaire, and analyzed using the IBM SPSS 21.0 program. Results : The factors related to the organizational citizenship behavior of nurses were workplace spirituality(${\beta}$=.36), emotional intelligence(${\beta}$=.29), 40 years of age or higher(${\beta}$=.26), working in a special ward(${\beta}$=.11), and turnover intention(${\beta}$=.10). These variables explained 61.6% of the variance in organizational citizenship behavior of nurses. Conclusions : In order to improve the quality of nursing services and business performance in hospital organizations, it is necessary to enhance workplace spirituality and emotional intelligence. This would lead to promoting organizational citizenship behavior through the development and application of intervention programs from a nursing organization perspective.

• Journal of Korea Multimedia Society
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• v.19 no.5
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• pp.939-947
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• 2016

As the number of legacy database systems and the size of data to manipulate have been vastly increased, it has become more difficult and complex to analyze characteristics of data. To improve the efficiency of data analysis and help administrators to make decisions in business life, BI(Business Intelligence) system is used. To construct data warehouse and cube from legacy database systems makes it easy and fast to transform raw data into integrated and categorized meaningful information. In this paper, we built a BI system for an University administration. Several source system databases were integrated to data warehouse to build data cubes. The implemented BI system shows much faster data analysis and reporting ability than the manipulation in legacy systems. It is especially efficient in multi dimensional data analysis, nonetheless in single dimensional analysis.

• Journal of Korea Game Society
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• v.20 no.4
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• pp.3-10
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• 2020

The purpose of this paper is to make a game design to overcome traditional prevention system. Cases such as recent cockroach floodings in Seoul, which shows difficulties on understanding the appearance pattern of cockroaches and limitations of the quarantine systems are increasing frequently theses days. In particular public sewer systems which is essential for urban development, face problems due to urban sprawl. In order to solve the problem this study proposes a game design building collective intelligence through citizen participation on cockroach prevention problems.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2006.06a
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• pp.294-300
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• 2006

This case study shows constructing the knowledge-based system using a rule-based approach for detecting transactions regarding money laundering in the Korea Financial Intelligence Unit (KoFIU). To better manage the explosive increment of low risk suspicious transactions reporting from financial institutions and to conjugate data converged into the KoFIU from various organizations, the adoption of a knowledge-based system is definitely required. We designed and constructed the knowledge-based system for anti-money laundering by committing experts of each specific financial industry co-worked with a knowledge engineer. The outcome of the knowledge base implementation shows that the knowledge-based system is filtering STRs in the primary analysis step efficiently and so has made great contribution to improve efficiency and effectiveness of the analysis process. It can be said that establishing the foundation of the knowledge base under the entire framework of the knowledge-based system for consideration of knowledge creation and management is indeed valuable.

• Knowledge Management Research
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• v.19 no.1
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• pp.147-174
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• 2018

Recently, firms have been putting forth significant efforts to fulfill various demands and high expectations of customers. The role and importance of customer centers as a direct contact point for customer relationship management are more emphasized than previously. A customer center draws attention as a new alternative to secure corporate competitiveness as it contributes to sales increase, being in a position to satisfy customers' needs by ensuring customers' access to information. A customer center is an aggregation of various information and communication technologies. In particular, a voice recognition/analysis technology based on big data can elaborate customer services further, enhance customer satisfaction, and trigger constant interactions with customers. A customer center can be transformed to a hub of customer knowledge and the embodiment of business intelligence in the front line of business. This article is a case study on how the customer center of the K life insurance company regarding customer center operation collects and analyzes customer information and how it has established its voice recognition/analysis system based on big data to improve customer experience management. Factors affecting the successful introduction and implementation of voice recognition/analysis system to a firm, are examined.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2005.05a
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• pp.46-59
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• 2005

After the IMF jurisdiction period, the Korean economy experienced a venture boom. Korean venture enterprises had been recognized that high profitable and high technology capacity based. These ventures also have contributed to national added value tolerably. In particular, Korean information technology (IT) venture companies got away the order of economy concentrated big companies, which were taken the opportunity of new economy to make suggestion of the future courses and to open an e-Korea era. However, IT ventures firms or dotcom enterprises have had difficulties through sinking down their bubbles and slumping technology sector from the first half of the 2000. In consideration of Korea IT venture companies' conditions, Korean government introduce new national vision in order to go ahead of intelligence based society form knowledge based. Korea is planning new investment to meet with the challenge of globalization proactively by national band named u-Korea. As following a step in IT infrastructure, it will give Korean IT ventures new demand creative technologies and services by new technological windows of opportunity. This situation is expected that will become an economic take-off. This paper will look for the way to stimulate Korean IT ventures' competence and present new frontier of IT ventures turnaround.