• Journal of Digital Convergence
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• v.19 no.2
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• pp.239-244
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• 2021

With the entry into an aged society, interest and demand for the elderly are increasing. The rapid increase in the elderly is calling for change in various fields. As the opportunities and desires of the elderly to participate in society increase, research on services suitable for the elderly society is needed. Although the expansion of convenience facilities and improvement of the system are being made to solve problems arising from the elderly society, there are many shortcomings in the increasing demand of the elderly. In addition, due to aging, they have difficulty in living independently and independently due to the decline in their daily life ability and physical function. To solve these problems, the government and local governments provide various services for the elderly. The service for the elderly is provided based on the general characteristics of the elderly, so it has limitations in customized services. In this paper, present a service model using extended information in ICT-based services to complement these problems. Scalable information uses IoT environments to collect information and environmental information for the elderly. Service support using information on the expansion of the elderly shall identify the characteristics of the elderly and support appropriate services when users request services. The proposed method may support self-reliance services that reflect the characteristics and needs of the elderly.

• Korean Journal of Labor Studies
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• v.23 no.2
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• pp.277-306
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• 2017

This article empirically explores the impact of minijobs in the wake of the Hartz reform in Germany on women's employment relationship. Theoretically it is of great significance to examine whether the minijobs play an active role as a bridge in leading the minijobbers to regular, socially secured jobs or not. Several interviews as well as secondary data I could get during my sabbatical in 2015 were used to test the theory. One of the main findings was the fact that the minijob labor market opened doors wide for women in Germany, particularly for career-interrupted women, students or pensioners. However, the minijob can easily become a trap of lowest income and poverty for women. Most women minjobbers cannot go over to regular, socially secured jobs. Especially in terms of collective industrial relations, it considerably damages the power of industrial unions and the legal binding force of collective agreement. In conclusion, this study makes it clear that the labor market segmentation theory rather than the transitional labor market theory is valid in accounting for the reality of minijob in Germany. In other words, the minijob in Germany has a Toijan Horse Effect. It also suggests, from a practical viewpoint, that German industrial unions or works councils organize the minijobbers and that the coverage of collective agreements be extended to the minijobbers. Consequently, the time-selective part-timer model put into practice in Korea in 2014 is not only invalid but also undesirable.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.3
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• pp.17-26
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• 2003

Recently, as the internet is widespread rapidly among the public, people can use a variety of useful information services through the internet. Accordingly, the protection of information supplied by computer networks 5 has become a matter of primary concern on the whole world. To accede to the realistic demands, it has been worked out some countermeasures to cultivate the experts in information security by the government and many educational facilities. Already the government authority has carried out the each kinds of concerning projects under the framed a policy, Five-Year Development Plan for Information Security Technology. Also, many domestic universities perceives such an international trend, and so they frame their plans to train for the experts in this field, including to found a department with respect to the information security. They are ready to execute their tangible works, such as establishment of educational goal, development of teaching materials, planning curriculum, construction of laboratories and ensuring instructors. Moreover, such universities lead to their students who want to be information security experts to get the fundamental knowledge to lay the foundation for acquiring the information security technology in their bachelor course. In this note, we survey and analyze the curricula of newly-established or member-extended departments with respect to information security fields of some leading universities in the inside and outside of the country, and in conclusion, we propose the effective model of curriculum and educational goal to train the students for the information security experts.

• Knowledge Management Research
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• v.22 no.2
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• pp.33-53
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• 2021

Use of mobile apps being extended, privacy concern on the side of the users is increased while they are willing to provide the private information to use the apps. In this study, we tried to identify the motivating elements that influence the users' intention to use the apps, based on the tendency towards regulatory focus and the privacy calculus theory. To verify the study model, we collected data from 151 adults who use health apps throughout the country, and analyzed the data using the PLS-SEM method. According to the result of the study, it was turned out that tendency towards promotion focus had negative impact on privacy concern and privacy danger, and tendency towards prevention focus had positive impact on privacy concern. Privacy concern had negative impact on the intention to use the mobile apps, and privacy benefit and privacy knowledge had positive impact on the intention to use the mobile apps. Finally, the intention to use the mobile apps had positive impact on the intention to continue to use the mobile apps. In this study, we identified different impacts of two types of tendency towards regulatory focus on privacy concern, and identified different influences on the intention to use the mobile apps accordingly.

• Resources Recycling
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• v.30 no.3
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• pp.3-17
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• 2021

Currently, there is a drain of natural resources, environmental contamination, generation of waste, and problems of the earth's climate by CO₂ emissions according to mass production and overconsumption of mankind. It is effectuated by a linear economy that involves manufacturing products, use, and waste repeatedly; there is no guarantee in the lives of humans and the future of the globe if we do not find alternative proposals. For a sustainable developing society and to overcome the present global problems, we must successively change to a circular economy from a linear economy. The circular economy has the concept of an extended value chain in recovery, reuse, remanufacturing, and recycling, instead of discarding after the use of manufactured goods. New business models of circular economy have been realized to save the earth ecology and sustainable developing society in serious recognition of the linear economy system. New business models are established by creating a vision and developing a program, and by renovating technology, law, and financial support through a worldwide government policy.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.469-486
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• 2021

Vietnam is a country where the largest number of Korean companies have branched out, and calibers who can speak Vietnamese are on great demands. In the multicultural classroom, students of Vietnamese background occupy the first or second largest composition among students with multicultural backgrounds; therefore, if teachers can teach in Vietnamese, the positive effects can be promising. This study presents and evaluates a Vietnamese language class developed and operated for the first time in Korea by a university to raise prospective teachers' global-multicultural competences. Two series of the classes were conducted during two vacations of 2018, and 20 students participated. As a results, the groups showed a significant increase in the global-multicultural competences; About 95 percent of the participants demonstrated improvement in the competences. The participants stated opinions: the classes should expand to offer opportunities for many other students who may want to acquire Vietnamese; the participants had better understandings of the Vietnamese cultures, envisioned their role as a Vietnamese speaker and suggested extended opportunities for contacts with Vietnamese cultures. The study hopes that other universities apply the educational model and the case study and that, as a result, teachers can contribute to building harmonious Korean-Vietnamese relations using Vietnamese.

• The Journal of Engineering Geology
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• v.32 no.3
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• pp.377-388
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• 2022

Recently, several studies have utilized machine learning to efficiently and accurately analyze seismic data that are exponentially increasing. In this study, we expand earthquake information such as occurrence time, hypocentral location, and magnitude to produce a dataset for applying to machine learning, reducing the dimension of the expended data into dominant features through principal component analysis. The dimensional extended data comprises statistics of the earthquake information from the Global Centroid Moment Tensor catalog containing 36,699 seismic events. We perform data preprocessing using standard and max-min scaling and extract dominant features with principal components analysis from the scaled dataset. The scaling methods significantly reduced the deviation of feature values caused by different units. Among them, the standard scaling method transforms the median of each feature with a smaller deviation than other scaling methods. The six principal components extracted from the non-scaled dataset explain 99% of the original data. The sixteen principal components from the datasets, which are applied with standardization or max-min scaling, reconstruct 98% of the original datasets. These results indicate that more principal components are needed to preserve original data information with even distributed feature values. We propose a data processing method for efficient and accurate machine learning model to analyze the relationship between seismic data and seismic behavior.

• Journal of Korea Port Economic Association
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• v.37 no.4
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• pp.89-102
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• 2021

The purpose of this paper is to study the impact of shipping service firm's perceived relational benefits on switching barriers and loyalty focusing on tug boat service. To achieve the purpose of the research, literature survey on existing literature, thesis, research report is performed and also reliability analysis, validity test and multiple regression analysis using SPSSWIN 18.0 is used in this research. To verify a research model and hypothesis, a questionnaire survey among employees of shipping companies and shipping agencies was executed. 76 copies of total 200 copies of questionnaires were collected and the number of questionnaire used for empirical analysis was 76 copies. The main results of the study are summarized as below. First, Hypothesis 1 "shipping service firm's perceived relational benefits has a positive impact on the switching barrier" was supported by this study. Second, Hypothesis 2 "shipping service firm's perceived relational benefits has a positive impact on the loyalty" was supported in this research. Finally, Hypothesis 3 "switching barrier has a positive impact on the customer's loyalty" was also supported. Further research can be extended by adding more questionnaires including more shipping service firms all over the nation.

• Journal of Korea Port Economic Association
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• v.38 no.1
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• pp.49-71
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• 2022

The purpose of this paper is to study the effect of the corporate social responsibility by port operation organization on the brand asset, reputation and relationship performance perceived by interested parties. To achieve such a purpose, literature survey on various research papers and thesis, research report is carried out and also reliability analysis, validity test and multiple regression analysis using SPSS 18.0 are used. To verify a established research model for empirical analysis and hypotheses, questionnaires are distributed to the port operation organization, terminal operators, shipping companies and NGO. Total 414 copies of questionnaires were collected and used in this analysis. The main results of the study are summarized as below. First, it was confirmed that social responsibility of the port operation organization are classified into three categories; economic, legal, and charitable and ethical responsibility. Second, economic responsibility has a positive impact on the brand awareness and reputation. Third, legal responsibility has a positive impact on the trust and commitment. Fourth, charitable and ethical responsibility has a positive impact on brand image and awareness, reputation, trust and commitment. Further additional empirical research can be extended by distributing more questionnaires including several port operation organizations in Busan and Incheon.

• Korean small business review
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• v.42 no.4
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• pp.251-283
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• 2020

The purpose of this study is to provide assistance to the establishment of related policies to improve the level of acceptance and use of smart factories for SMEs in Korea. To this end, the Unified Technology Acceptance Model (UTAUT) was extended to select additional factors that could affect the intention to accept technology, and to demonstrate this. To achieve the research objective, a questionnaire composed of 7-point Likert scales was prepared, and a survey was conducted for manufacturing-related companies. A total of 136 questionnaires were used for statistical processing. As a result of the hypothesis test, performance expectation and social influence had a positive (+) positive effect on voluntary use, but effort expectation and promotion conditions did not have a significant effect. As an extension factor, the network effect and organizational characteristics had a positive (+) effect, and the innovation resistance had a negative effect (-), but the perceived risk had no significant effect. When the size of the company is large, the perceived risk and innovation resistance are low, and the level of influencing factors for veterinary intentions, veterinary intentions, and veterinary behaviors are excluded. Through this study, factors that could have a positive and negative effect on the adoption (reduction) of smart factory-related technologies were identified and factors to be improved and factors to be reduced were suggested. As a result, this study suggests that smart factory-related technologies should be accepted.