• Industry Promotion Research
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• v.8 no.2
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• pp.21-27
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• 2023

This study studies the policies and use cases of the government and the financial sector for artificial intelligence, and the future policy tasks of the financial sector. want to derive According to Gartner, noteworthy technologies leading the financial industry in 2022 include 'generative AI', 'autonomous system', 'Privacy Enhanced Computation (PEC) was selected. The financial sector is developing new technologies such as artificial intelligence, big data, and blockchain. Developments are spurring innovation in the financial sector. Data loss due to the spread of telecommuting after the corona pandemic As interests in sharing and personal information protection increase, companies are expected to change in new digital technologies. Global financial companies also utilize new digital technology to develop products or manage and operate existing businesses. I n order to promote process innovation, I T expenses are being expanded. The financial sector utilizes new digital technology to prevent money laundering, improve work efficiency, and strengthen personal information protection. are applying In the era of Big Blur, where the boundaries between industries are disappearing, the competitive edge in the challenge of new entrants In order to preoccupy the market, financial institutions must actively utilize new technologies in their work.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.21-37
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• 2016

The purpose of study was to examine the entrepreneurial supporting policy and the entrepreneurship which can affect the entrepreneurial intention, and to prove the moderating effect of the business failure burden and the self-efficacy on the relationship of the entrepreneurial supporting policy, entrepreneurship and the entrepreneurial intention through the empirical study in the fusion of industries. We used data from 321 survey participants by using structured questionnaires, excluding dishonest respondents, and statistical analysis was conducted using SPSS 18.0 statistic package. We used hierarchical regression technique to prove our hypothesis. The results showed that education and marketing support which are part of the entrepreneurial supporting policy in the fusion of industries will have positive influence on innovativeness, pro-activeness and risk acceptability which are part of entrepreneurship. It has been reported that only funding support has positive influence on entrepreneurship pro-activeness. The results also indicated that the entrepreneurial supporting policy will have positive influence on the entrepreneurial intention, but business failure burden and self-efficacy will have no moderating effect in the relation between the entrepreneurial supporting policy and the entrepreneurship. The theoretical and practical implications of the findings were discussed and the directions for future research were presented.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.327-336
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• 2014

This study aims to identify factors to affect regular utilization status of medical care in cardio-cerebrovascular patients. The research selected 770 cardio-cerebrovascular patients among surveyees from the Korea Health Panel 2010. We analyzed states of medical care utilization using descriptive statistics. Logistic regression analysis was used to examine the main factors associated with regular utilization status of medical care in cardio-cerebrovascular patients. In result, the significant factors associated with regular utilization status of medical care in cardio-cerebrovascular patients were age, education level, household income level. CCI, presence or absence of high risk drinking, and presence or absence of obesity. There's a high probability that patients aged between 60 and 69, equal to and higher than those of high school graduate in education level, upper middle class in household income, the higher CCI, absence of high risk drinking, presence of obesity utilize medical care services more regularly. Therefore, it is necessary to develop effective program and individualized approach for patients using lesser periodical medical care and patients with high risk drinking problem. In the future, these findings can be used an important data for healthcare policy and assessment.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.25-33
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• 2015

In Korea, despite the increase in demand for Bigdata manpower, institutions and universities to educate and train Bigdata manpower are not yet much. Therefore, this study investigated the status regarding the recognition on Bigdata of universities students and presented a direction for educating Bigdata manpower at the university. In order to accomplish this purpose, this study surveyed and analyzed the students' understanding of Bigdata, the awareness of the students about the social impact of Bigdata, the learning intention of the students on Bigdata and presented Implications for Bigdata workforce development. As a result, despite of the somewhat difference in understanding for the Bigdata, it was found that their awareness about the impact of Bigdata is very positive. And this study showed the need of universities' and government' political effort for Bigdata workforce development, because it was investigated that students' intentions of learning for Bigdata is proportional to students' understanding levels and learning experience for Bigdata.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.221-229
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• 2018

Machine learning and artificial intelligence are core technologies for the 4th industrial revolution. However, it is difficult for the general public to get familiar with those technologies because most people lack programming ability. Thus, we developed a Graphic User Interface(GUI) to overcome this obstacle. We adopted TensorFlow and used .Net of Microsoft for the develop. With this new GUI, users can manage data, apply algorithms, and run machine learning without coding ability. We hope that this development will be used as a basis for developing artificial intelligence in various fields.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.125-132
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• 2015

It is current situation that a number of issues are being raised how the weight is calculated from customer satisfaction survey. This study investigated how the weight of satisfaction for each quantile is different by comparing ordinary least square regression model to quantile regression model and carried out bootstrap verification to find the influence difference of regression coefficient for each quantile. As the analysis result of using R(Quantreg package) that is open software, it appeared that there was the influence size of satisfaction factor along study result and quantile and there was the significant difference statistically regarding regression coefficient for each quantile. So, to use quantile regression model that offers the influence of satisfaction factor for each customer group along satisfaction level would contribute to plan the quantitative convergence policy for customer satisfaction.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.41-46
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• 2015

In spite of increasing women migrants, proper social programs based on human rights are hardly found. In this paper, with the implication of 'diaspora', the essential term of multi-culturalism from the perspective of migrant women is briefly discussed. Also, social programs for migrant women are suggested through looking into the experiences of EU. EU policies and social programs are reorganized through data analysis and policy contents analysis. EU has longer history of immigration, and has provided the proper and long-term programs to accept migrant women as the qualified social member. EU social programs are based on the principles of non-discrimination, full employment, human rights and citizenship. Social programs should imply long-term inclusive policy for migrants, and help migrants to experience empowerment in the society. By looking into some examples of social programs of employment, education and general knowledge, useful social programs are to be suggested.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.31-39
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• 2015

This paper examines trends of the income inequality index and the income quintile share ratios, using the Household Survey released by Statistics Korea. We discuss their respective effects on total income inequality and the income disparity, as a contribution concept defined in this paper for 1990-2014 periods. Main findings are as follows. First, the contribution of 2-person families to total inequality with the current income or the disposable income becomes bigger, and growth rates have been above 10% since 2003. Second, the contribution of 1-person families to income inequality is greater than that of 2-person families. Policy implication is such that the government had better investigate the 1 or 2 person families in-depth to set up the policy measures for weakening the income inequality.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.13-21
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• 2020

This study aims to provide the policy implications for the Korean government which has to attract foreign workers with higher education degrees in order to address shortage of human resources. As a way of doing this, the study has compared the foreign qualification evaluation and recognition (FQER) systems in Germany, Denmark and Norway. The results of the study reveal that the three countries are similar in that they have developed their own FQER systems according to the Lisbon Recognition Convention and has thus provided everyone with opportunities to have his/her qualifications evaluated fairly. However, there are differences in terms of the evaluation target, the recognition of prior learning and the linkage between the evaluation and employment approval for foreigners among the three countries. These cases altogether provide meaningful policy implications for the Korean government that has to develop its own FQER system in the near future.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.47-54
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• 2019

The technical standard is an important factor in the national economy, and its importance is gaining more attention due to the emergence of the convergence industry. This is an essential element for implementing fusion technology because it ensures interoperability. Since standardization activities are essential for the growth of domestic SMEs, this study aims to diagnose the status of standardization activities of SMEs and to suggest policy directions accordingly. And we sought to clarify the status of the standardization activities of domestic SMEs and to draw some implications for the domestic promotion plan by examining the major promotion policies for overseas standardization successfully. As a result, it was found that the investment cost for the standard activities is burdensome, the professional manpower is needed, and the participation of SMEs is low due to the complexity of the standard technology. In addition, standardization activities have weaknesses in terms of technology protection, and SMEs tend to avoid technology disclosure. Therefore, in order to solve the difficulties of standardization of companies, it is necessary to establish cooperation system of supporting organizations. In order to promote standardization activities, it is necessary to establish legal basis necessary for technology protection.