• Journal of Information Technology Applications and Management
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• v.13 no.3
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• pp.145-179
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• 2006

The measurement of informatization program effectiveness continues to be a central concern of both academics and practitioners. However, most studies of it have been inclined too heavily toward testing validity and reliability of evaluation measure to strengthen the theoretical rigor. Drawbacks of this approach have been pointed out as being unsuitable for evaluating the effectiveness of informatization program due to lack of practical relevance. The paper comprises four sections to solve the problem. 1) Through literature review of theoretical conceptual models in IS effectiveness and the domestic and foreign cases on informatization program, we establish the evaluation framework which consists of evaluation phases, 6 evaluation areas, and 22 evaluation items, and developed evaluation measures of each items. 2) Different researchers have addressed different aspects of attribute of measure. With comparing them to each other, 3 mutually exclusive criteria on coincidence analysis(usability of measurement. reliability of measurement. and validity of content) are identified. 3) Data are gathered from respondents in informatizaiton program-related organizations such as policy agency, management agency, support agency, and recipient agency. 4) The degree of coincidence of each evaluation measure are analyzed by course of an coincidence analysis procedure, which includes the reliability test, arithmetical test, and criteria validity test. The academic implication of this study is that researchers can gain an insight into the coincidence analysis to approach the problem of deciding on an indicator of performance for informatization program. There is also practical implication for applying the potential means of improving the practical relevance of conducting evaluating the informatization program.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.69-78
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• 2015

In this study, Word-of-mouth Intention of the factors Influence the Connectivity, Convenience and Application also was Investigated. Connectivity, Convenience on the Influence of the Mediation Effect was Carried out to Examine. The test results used in this Study Established Connectivity, Convenience of Application and Word-of-mouth to the Positive Effect was Found. Also Verifying the results of the Mediating Effect of Application and Application the Mediation Effect was Verification. These Factors Result in the Application and also in Calendar, Useful Application, Video, Music, Game of Word-of-mouth Intention Influence. For this Study, the use of Smartphones is a lot of College Students Surveyed and the Findings were Derived. This result provides an application development strategy implications that can satisty the user's Smartphone Convergent times.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.295-308
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• 2021

In recent years, as many people post their interests on social media or store documents in digital form due to the development of the internet and computer technologies, the amount of text data generated has exploded. Accordingly, the demand for technology to create valuable information from numerous document data is also increasing. In this study, through statistical techniques, we investigate how the meanings of Korean words change over time by using the presidential speech records and newspaper articles public data. Using this, we present a strategy that can be utilized in the study of the synchronic change of Hangeul. The purpose of this study is to deviate from the study of the theoretical language phenomenon of Hangeul, which was studied by the intuition of existing linguists or native speakers, to derive numerical values through public documents that can be used by anyone, and to explain the phenomenon of changes in the meaning of words.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1293-1314
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• 2015

As ICT is becoming a major social infrastructure, the need to strengthen cyber capabilities are emerging. In the major advanced countries including the United States, has a continuing interest in strengthening cyber capabilities and has studied in enhancements of cyber capabilities. The cyber capability assessment is necessary in order to determine the current level of the country, establish policy directions and legislations. The selection of criteria has very important meaning to suggest future policy direction as well as an objective assessment of cybersecurity capabilities. But there are variable criteria for national cyber capabilities assessment such as strategy, legislation, technology, society and culture, and human resources. In this paper we perform the analysis of criteria for the other country's cybersecurity assessments including the U.S. and Europe. And we proposed the criteria for the national cybersecurity assessment reflecting the our country's characteristics.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.218-228
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• 2020

The material industry is an important infrastructure industry that uses process technology in order to produce parts applied to the final product and determine the quality of the finished product. However, the market environment, which has been recognized as a 3D industry, has deteriorated recently and lost competitiveness compared to other material industry countries. This study analyzed the characteristics of forging companies and The study found that three characteristics of the forging industry, facility-oriented, order-based, and field-centered, and internal failure cost and external failure costs were set as the range of quality cost. A total of eight quality tasks were selected by applying the quality cost management system and continuous quality improvement process developed for large-scale A forging company, and improvement activity proved its effectiveness reducing quality costs by 63.3% compared to the previous year. The research helps forging companies establish a quality management strategy by systematically managing and analyzing quality costs.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.517-522
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• 2017

The purpose of this study was to develop a cognitive rehabilitation program based on the cognitive activities of the elderly with mild dementia using the weekly care facilities in Daegu city memory and to provide useful welfare services for the elderly with mild dementia. In Korea, there is not much development of community-based integrated intervention program for demented patients who are still in the present situation. The results of this study suggest that the cognitive rehabilitation program for the elderly with mild dementia is suitable to be applied as a group in the case of community based protective editorials and may be a basis for management of mild dementia patients. It seems that there may be differences in the appropriate intervention methods and effects. Therefore, it is expected that the individualized customized strategy will maximize the effect. Therefore, more specific and individualized nursing intervention program should be concurrently developed.

• Smart Structures and Systems
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• v.26 no.4
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• pp.495-506
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• 2020

Monitoring of complex processes faces several challenges mainly due to the lack of relevant sensory information or insufficient elaborated decision-making strategies. These challenges motivate researchers to adopt complex data processing and analysis in order to improve the process representation. This paper presents the development and implementation of quality monitoring framework based on a model-driven approach using embedded artificial intelligence strategies. In this work, the strategies are applied to the supervision of a microfabrication process aiming at showing the great performance of the framework in a very complex system in the manufacturing sector. The procedure involves two methods for modelling a representative quality variable, such as surface roughness. Firstly, the hybrid incremental modelling strategy is applied. Secondly, a generalized fuzzy clustering c-means method is developed. Finally, a comparative study of the behavior of the two models for predicting a quality indicator, represented by surface roughness of manufactured components, is presented for specific manufacturing process. The manufactured part used in this study is a critical structural aerospace component. In addition, the validation and testing are performed at laboratory and industrial levels, demonstrating proper real-time operation for non-linear processes with relatively fast dynamics. The results of this study are very promising in terms of computational efficiency and transfer of knowledge to manufacturing industry.

• Journal of the Korean Society of Earth Science Education
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• v.16 no.1
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• pp.103-132
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• 2023

This study developed a risk society education program for undergraduate students to help them understand the epistemological uncertainty of risk caused by COVID-19. And it was applied to science-related classes of undergraduate students, and the purpose was to examine the degree of understanding and thoughts of undergraduate students about the risk society through science writing. As a result, it was found that the degree of understanding of the risk society was very high in all participating students regardless of their majors in science, engineering, humanities and social sciences. In addition, it was analyzed that the risk society education program helped undergraduate students to resolve the epistemological uncertainty of the risk of COVID-19 and to have an attitude to overcome the the difficult mind due to the COVID-19 distancing. The results of this study suggest that risk society education is necessary for future generations living in an era of risk of climate change and pandemic that exceeds the prediction range of science and technology in science education.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.145-153
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• 2022

This study is an empirical analysis of the major factors influencing the globalization level of Chinese public enterprises. Based on previous research, we conducted a regression analysis using the transnational index as a dependent variable and export tax refund, exchange rate, human resources, innovation ability, asset management ability, loan ability, corporate development stage, global deployment ability, etc. as independent variables. As a result of the empirical analysis of this study, it was found that export refund (E_tax) and exchange rate (E_rate) have a statistically significant effect on the external influencing factors of globalization. Human resource capabilities (Edu, O_hunan), innovation capability (R&D), and financing capability (Finance) were found to be important internal influencing factors for the globalization of public enterprises. The role of the government in establishing the strategy of SOEs should be maintained at the level of guidance and it should provide guidance so that the autonomy of SOEs is not restricted as the role of the government is separated from the government's compulsory management and supervisory functions, leading to excessively compulsory management.

• Korea Trade Review
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• v.47 no.3
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• pp.57-73
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• 2022

The process and change of convergence in the economy and industry with the development of digital technology and combining with new technologies is called Digital Transformation. Specifically, it refers to innovating existing businesses and services by utilizing information and communication technologies such as big data analysis, Internet of Things, cloud computing, and artificial intelligence. Digital transformation is changing the shape of business and has a wide impact on businesses and consumers in all industries. Among them, the big data and analytics market is emerging as one of the most important growth drivers of digital transformation. Integrating intelligent data into an existing business is one of the key tasks of digital transformation, and it is important to collect and monitor data and learn from the collected data in order to efficiently operate a data-based business. In developed countries overseas, research on new business models using various data accumulated at the level of government and private companies is being actively conducted. However, although the trade and import/export data collected in the domestic public sector is being accumulated in various types and ranges, the establishment of an analysis and utilization model is still in its infancy. Currently, we are living in an era of massive amounts of big data. We intend to discuss the value of trade big data possessed from the past to the present, and suggest a strategy to activate trade big data for trade digital transformation and a new direction for future trade big data research.