• Science of Emotion and Sensibility
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• v.26 no.2
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• pp.85-102
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• 2023

This study aims to examine whether emotional clarity predicts low levels of social interaction anxiety among senior citizens and to verify whether self-esteem and self-efficacy play a critical role as mediators between them. An online survey measuring emotional clarity, social interaction anxiety, self-esteem, and self-efficacy was conducted with 217 Korean senior citizens. The analysis revealed that emotional clarity in old age predicted lower social interaction anxiety. Besides, self-esteem mediated the relationship between emotional clarity and social interaction anxiety, while self-efficacy did not produce consistent results. That is, recognizing one's emotions increases one's self-esteem, which reduces social interaction anxiety, but this mediating effect could not be confirmed through self-efficacy. This result emphasizes that recognizing one's emotions in old age is an important factor in facilitating interaction with others, and shows that individuals can be comfortable in relational situations because emotional clarity increases one's self-esteem. Finally, the implications of this study and the future direction of this research area were discussed.

• Journal of Industrial Convergence
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• v.21 no.10
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• pp.29-35
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• 2023

This study aims to find out how the nutrition and eating habit education that Korean adolescents receive at school actually affects and affects their dietary culture. he subject and method of this study was a secondary analysis study using the data from the 18th Korea Youth Risk Behavior Survey(2022). Statistical significance was confirmed using the SPSS program as the frequency of breakfast, reason for skipping breakfast, fruit, high-caffeinated beverage, sweet beverage, fast food, vegetable, milk, water, and late-night snack intake frequency as variables. There was a significant difference in breakfast, fast food, and late-night snacks between the group that received nutrition and eating habits education at school and the group that did not(p<.001). Regarding breakfast consumption, the group that received education showed a higher proportion of students eating breakfast for seven days or more, whereas the group that did not receive education showed a higher proportion of students who did not eat breakfast at all. The group that did not receive education showed a higher proportion of students who did not drink milk, and a higher proportion of students who drank less than one cup of water per day. This study can serve as a foundation for further studies to improve nutritional and dietary education, breakfast consumption, and beverage intake in schools. It was hoped that this study will contribute to developing more effective nutritional and dietary education strategies in schools.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.135-145
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• 2023

Due to the decrease in the school-age population, the number of freshmen at local college who lack basic learning skills is increasing. Thus, C college has been running a basic learning ability improvement clinic program. This paper is a case study that investigates the effect of basic learning ability improvement clinic programs on major class immersion, efficacy, and major class satisfaction. In 2022, a total of 459 students were surveyed, including 238 students who participated in online and offline classes for basic learning ability improvement clinics and 221 students who did not participate in classes. Data processing was performed using SPSS Ver. 26.0 was used. The results of this study are as follows. First, among the sub-factors of academic self-efficacy, the group participating in the basic learning ability improvement clinic showed significant differences in task difficulty preference and confidence. Second, the class participation group showed a significant difference in learning immersion in major classes. Third, the class participation group showed significant differences in all sub-factors of major satisfaction. In conclusion, it was found that the basic learning ability improvement clinic class had a significant effect on academic self-efficacy, learning immersion, and major satisfaction.

• Journal of the International Relations & Interdisciplinary Education
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• v.4 no.1
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• pp.85-111
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• 2024

Since the release of the 2000 PISA results, Finland's education has consistently been regarded as a competitor or benchmark for South Korea's educational system. However, recent indicators of division, opposition, and discontent within our educational sphere suggest a considerable departure from Finland's ethos of happiness in education. Against this backdrop, this study aims to analyze the trends in Finnish education-related research appearing in Korean academic journals. Utilizing network text analysis, we examined 160 papers indexed in RISS with titles containing "Finland" and "education". Key findings are as follows. Firstly, research on Finnish education has been steadily increasing, albeit showing recent signs of decline. Secondly, the majority of research topics were micro-level, with literature review-based methodologies predominating. Thirdly, a minority of researchers accounted for one-third of the total research output. Fourthly, countries compared with Finland predominantly included neoliberal states such as Japan, the United States, the United Kingdom, Australia, and Singapore. Fifthly, research themes and subjects primarily focused on primary and secondary education, particularly in domains such as mathematics and science, influenced by PISA. Future research on Finnish education should transcend localized and fragmented areas of inquiry, undertaking comprehensive investigations into the processes and history of Finland's happiness-oriented education. Such endeavors are essential for deriving insights crucial for our learning. Particularly, consideration should be given to moving beyond literature-based methodologies, fostering international collaborative discussions facilitated online, and linking the Finnish education community with educators, parents, students, local councils, and governmental stakeholders to collectively discuss and research.

• Journal of the Korean Institute of Landscape Architecture
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• v.48 no.1
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• pp.35-45
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• 2020

This study focused on the park as a space to support the behavior of urban citizens in modern society. Modern city parks are not spaces that play a specific role but are used by many people, so their function and meaning may change depending on the user's behavior. In addition, current online data may determine the selection of parks to visit or the usage of parks. Therefore, this study analyzed the change of behavior in Yeouido Park, Yeouido Hangang Park, and Yangjae Citizen's Forest from 2000 to 2018 by utilizing a time series analysis. The analysis method used Big Data techniques such as text mining and social network analysis. The summary of the study is as follows. The usage behavior of Yeouido Park has changed over time to "Ride" (Dynamic Behavior) for the first period (I), "Take" (Information Communication Service Behavior) for the second period (II), "See" (Communicative Behavior) for the third period (III), and "Eat" (Energy Source Behavior) for the fourth period (IV). In the case of Yangjae Citizens' Forest, the usage behavior has changed over time to "Walk" (Dynamic Behavior) for the first, second, and third periods (I), (II), (III) and "Play" (Dynamic Behavior) for the fourth period (IV). Looking at the factors affecting behavior, Yeouido Park was had various factors related to sports, leisure, culture, art, and spare time compared to Yangjae Citizens' Forest. The differences in Yangjae Citizens' Forest that affected its main usage behavior were various elements of natural resources. Second, the behavior of the target areas was found to be focused on certain main behaviors over time and played a role in selecting or limiting future behaviors. These results indicate that the space and facilities of the target areas had not been utilized evenly, as various behaviors have not occurred, however, a certain main behavior has appeared in the target areas. This study has great significance in that it analyzes the usage of urban parks using Big Data techniques, and determined that urban parks are transformed into play spaces where consumption progressed beyond the role of rest and walking. The behavior occurring in modern urban parks is changing in quantity and content. Therefore, through various types of discussions based on the results of the behavior collected through Big Data, we can better understand how citizens are using city parks. This study found that the behavior associated with static behavior in both parks had a great impact on other behaviors.

• Journal of Korean Home Economics Education Association
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• v.29 no.3
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• pp.125-140
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• 2017

The purpose of this study was to investigate the relationship of covert narcissism and the sense of alienation with SNS addiction proneness and the influence of them on SNS addiction proneness in order to find a way to conduct an intervention for the SNS addiction proneness of middle school students, and verify the mediating effect of self-esteem on the relationship between covert narcissism, the sense of alienation, and SNS addiction proneness. For this purpose, data were collected online from the first to third grade middle school students who had the experience of using SNS within the past one week, and finally, the data of a total of 341 participants were used for analysis. First, as a result of the analysis of the correlation between covert narcissism, the sense of alienation, self-esteem and SNS addiction proneness, covert narcissism and the sense of alienation showed a significant positive correlation with SNS addiction proneness. On the other hand, there was a significant negative correlation between self-esteem and SNS addiction proneness. Second, the investigation of the effects of covert narcissism, alienation, and self-esteem on SNS addiction proneness showed that covert narcissism, the sense of alienation, and self-esteem had a significant effect on the SNS addiction proneness. The higher the levels of covert narcissism and the sense of alienation, the higher the level of SNS addiction proneness. On the other hand, the higher the level of self-esteem, the lower the level of SNS addiction proneness. Third, the mediating effect of self-esteem was verified for the relationship of covert narcissism and the sense of alienation with SNS addiction proneness. Although covert narcissism and the sense of alienation may directly affect SNS addiction proneness, it was found that they had a significant effect on the SNS addiction proneness through self-esteem as a mediating variable. In other words, it was found that as the levels of the covert narcissism and the sense of alienation were increased, the level of the self-esteem was lowered, which led to a higher level of SNS addiction proneness. In order to form a proper network culture for adolescents, education on appropriate use of SNS that can be put into practice in everyday life should be conducted, and healthy and desirable SNS culture should be created. In addition, systematic education and management should be provided so that students can develop the ability to control and regulate themselves.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.33-50
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• 2022

While the number of female entrepreneurs has been increasing, and female entrepreneurship has been increasingly perceived as a driving force of sustainable economic development, there is a lack of studies of female entrepreneurship, particularly in the non-Western regions. This study aims to explore current levels of entrepreneurial competences of female college students in four Asian countries (i.e., Indonesia, Korea, Philippines, and Vietnam), differences in the competences between countries, and factors affecting their entrepreneurial competences. Using online surveys, the present study collected data from 516 female Asian college students and examined their entrepreneurial competences in six dimensions-entrepreneurship, sensibility, business management, relationship management, strategic management, and multi-tasking. This study also investigated effects of four variables (i.e., entrepreneurship course taking experiences, on-campus entrepreneurship experiences, off-campus entrepreneurship experiences, and entrepreneurial intentions) on the six aspects of entrepreneurial competences. Data analysis reveals that female Asian college students as a whole group possess quite high levels of entrepreneurial competences while the Filipino students show the biggest competence in all the six dimensions measured. As regards affecting factors, this study finds that, in the total sample, regression equations are significant in all the six dimensions of entrepreneurial competences. On-campus experiences have significantly positive effects on those six dimensions while course taking experiences and entrepreneurial intentions positively affect three different dimensions each. However, out-of-campus experiences turn out to be negative though their effects are insignificant. Meanwhile, in individual samples, different factors affect different dimensions of entrepreneurial competences. Based on these findings, the present study suggests some actions for promoting female entrepreneurship and for conducting future studies.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.19-42
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• 2012

Consumer consumption patterns are shifting rapidly as buyers migrate from offline markets to e-commerce routes, such as shopping channels on TV and internet shopping malls. In the offline markets consumers go shopping, see the shopping items, and choose from them. Recently consumers tend towards buying at shopping sites free from time and place. However, as e-commerce markets continue to expand, customers are complaining that it is becoming a bigger hassle to shop online. In the online shopping, shoppers have very limited information on the products. The delivered products can be different from what they have wanted. This case results to purchase cancellation. Because these things happen frequently, they are likely to refer to the consumer reviews and companies should be concerned about consumer's voice. E-commerce is a very important marketing tool for suppliers. It can recommend products to customers and connect them directly with suppliers with just a click of a button. The recommender system is being studied in various ways. Some of the more prominent ones include recommendation based on best-seller and demographics, contents filtering, and collaborative filtering. However, these systems all share two weaknesses : they cannot recommend products to consumers on a personal level, and they cannot recommend products to new consumers with no buying history. To fix these problems, we can use the information which has been collected from the questionnaires about their demographics and preference ratings. But, consumers feel these questionnaires are a burden and are unlikely to provide correct information. This study investigates combining collaborative filtering with the centrality of social network analysis. This centrality measure provides the information to infer the preference of new consumers from the shopping history of existing and previous ones. While the past researches had focused on the existing consumers with similar shopping patterns, this study tried to improve the accuracy of recommendation with all shopping information, which included not only similar shopping patterns but also dissimilar ones. Data used in this study, Movie Lens' data, was made by Group Lens research Project Team at University of Minnesota to recommend movies with a collaborative filtering technique. This data was built from the questionnaires of 943 respondents which gave the information on the preference ratings on 1,684 movies. Total data of 100,000 was organized by time, with initial data of 50,000 being existing customers and the latter 50,000 being new customers. The proposed recommender system consists of three systems : [+] group recommender system, [-] group recommender system, and integrated recommender system. [+] group recommender system looks at customers with similar buying patterns as 'neighbors', whereas [-] group recommender system looks at customers with opposite buying patterns as 'contraries'. Integrated recommender system uses both of the aforementioned recommender systems to recommend movies that both recommender systems pick. The study of three systems allows us to find the most suitable recommender system that will optimize accuracy and customer satisfaction. Our analysis showed that integrated recommender system is the best solution among the three systems studied, followed by [-] group recommended system and [+] group recommender system. This result conforms to the intuition that the accuracy of recommendation can be improved using all the relevant information. We provided contour maps and graphs to easily compare the accuracy of each recommender system. Although we saw improvement on accuracy with the integrated recommender system, we must remember that this research is based on static data with no live customers. In other words, consumers did not see the movies actually recommended from the system. Also, this recommendation system may not work well with products other than movies. Thus, it is important to note that recommendation systems need particular calibration for specific product/customer types.

• Journal of Intelligence and Information Systems
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• v.25 no.4
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• pp.1-33
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• 2019

The small and medium sized enterprises (hereinafter SMEs) are already at a competitive disadvantaged when compared to large companies with more abundant resources. Manufacturing SMEs not only need a lot of information needed for new product development for sustainable growth and survival, but also seek networking to overcome the limitations of resources, but they are faced with limitations due to their size limitations. In a new era in which connectivity increases the complexity and uncertainty of the business environment, SMEs are increasingly urged to find information and solve networking problems. In order to solve these problems, the government funded research institutes plays an important role and duty to solve the information asymmetry problem of SMEs. The purpose of this study is to identify the differentiating characteristics of SMEs that utilize the public information support infrastructure provided by SMEs to enhance the innovation capacity of SMEs, and how they contribute to corporate performance. We argue that we need an infrastructure for providing information support to SMEs as part of this effort to strengthen of the role of government funded institutions; in this study, we specifically identify the target of such a policy and furthermore empirically demonstrate the effects of such policy-based efforts. Our goal is to help establish the strategies for building the information supporting infrastructure. To achieve this purpose, we first classified the characteristics of SMEs that have been found to utilize the information supporting infrastructure provided by government funded institutions. This allows us to verify whether selection bias appears in the analyzed group, which helps us clarify the interpretative limits of our study results. Next, we performed mediator and moderator effect analysis for multiple variables to analyze the process through which the use of information supporting infrastructure led to an improvement in external networking capabilities and resulted in enhancing product competitiveness. This analysis helps identify the key factors we should focus on when offering indirect support to SMEs through the information supporting infrastructure, which in turn helps us more efficiently manage research related to SME supporting policies implemented by government funded institutions. The results of this study showed the following. First, SMEs that used the information supporting infrastructure were found to have a significant difference in size in comparison to domestic R&D SMEs, but on the other hand, there was no significant difference in the cluster analysis that considered various variables. Based on these findings, we confirmed that SMEs that use the information supporting infrastructure are superior in size, and had a relatively higher distribution of companies that transact to a greater degree with large companies, when compared to the SMEs composing the general group of SMEs. Also, we found that companies that already receive support from the information infrastructure have a high concentration of companies that need collaboration with government funded institution. Secondly, among the SMEs that use the information supporting infrastructure, we found that increasing external networking capabilities contributed to enhancing product competitiveness, and while this was no the effect of direct assistance, we also found that indirect contributions were made by increasing the open marketing capabilities: in other words, this was the result of an indirect-only mediator effect. Also, the number of times the company received additional support in this process through mentoring related to information utilization was found to have a mediated moderator effect on improving external networking capabilities and in turn strengthening product competitiveness. The results of this study provide several insights that will help establish policies. KISTI's information support infrastructure may lead to the conclusion that marketing is already well underway, but it intentionally supports groups that enable to achieve good performance. As a result, the government should provide clear priorities whether to support the companies in the underdevelopment or to aid better performance. Through our research, we have identified how public information infrastructure contributes to product competitiveness. Here, we can draw some policy implications. First, the public information support infrastructure should have the capability to enhance the ability to interact with or to find the expert that provides required information. Second, if the utilization of public information support (online) infrastructure is effective, it is not necessary to continuously provide informational mentoring, which is a parallel offline support. Rather, offline support such as mentoring should be used as an appropriate device for abnormal symptom monitoring. Third, it is required that SMEs should improve their ability to utilize, because the effect of enhancing networking capacity through public information support infrastructure and enhancing product competitiveness through such infrastructure appears in most types of companies rather than in specific SMEs.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.111-126
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• 2017

Recommender systems based on association rule mining significantly contribute to seller's sales by reducing consumers' time to search for products that they want. Recommendations based on the frequency of transactions such as orders can effectively screen out the products that are statistically marketable among multiple products. A product with a high possibility of sales, however, can be omitted from the recommendation if it records insufficient number of transactions at the beginning of the sale. Products missing from the associated recommendations may lose the chance of exposure to consumers, which leads to a decline in the number of transactions. In turn, diminished transactions may create a vicious circle of lost opportunity to be recommended. Thus, initial sales are likely to remain stagnant for a certain period of time. Products that are susceptible to fashion or seasonality, such as clothing, may be greatly affected. This study was aimed at expanding association rules to include into the list of recommendations those products whose initial trading frequency of transactions is low despite the possibility of high sales. The particular purpose is to predict the strength of the direct connection of two unconnected items through the properties of the paths located between them. An association between two items revealed in transactions can be interpreted as the interaction between them, which can be expressed as a link in a social network whose nodes are items. The first step calculates the centralities of the nodes in the middle of the paths that indirectly connect the two nodes without direct connection. The next step identifies the number of the paths and the shortest among them. These extracts are used as independent variables in the regression analysis to predict future connection strength between the nodes. The strength of the connection between the two nodes of the model, which is defined by the number of nodes between the two nodes, is measured after a certain period of time. The regression analysis results confirm that the number of paths between the two products, the distance of the shortest path, and the number of neighboring items connected to the products are significantly related to their potential strength. This study used actual order transaction data collected for three months from February to April in 2016 from an online commerce company. To reduce the complexity of analytics as the scale of the network grows, the analysis was performed only on miscellaneous goods. Two consecutively purchased items were chosen from each customer's transactions to obtain a pair of antecedent and consequent, which secures a link needed for constituting a social network. The direction of the link was determined in the order in which the goods were purchased. Except for the last ten days of the data collection period, the social network of associated items was built for the extraction of independent variables. The model predicts the number of links to be connected in the next ten days from the explanatory variables. Of the 5,711 previously unconnected links, 611 were newly connected for the last ten days. Through experiments, the proposed model demonstrated excellent predictions. Of the 571 links that the proposed model predicts, 269 were confirmed to have been connected. This is 4.4 times more than the average of 61, which can be found without any prediction model. This study is expected to be useful regarding industries whose new products launch quickly with short life cycles, since their exposure time is critical. Also, it can be used to detect diseases that are rarely found in the early stages of medical treatment because of the low incidence of outbreaks. Since the complexity of the social networking analysis is sensitive to the number of nodes and links that make up the network, this study was conducted in a particular category of miscellaneous goods. Future research should consider that this condition may limit the opportunity to detect unexpected associations between products belonging to different categories of classification.