• Journal of Digital Convergence
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• v.17 no.1
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• pp.9-27
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• 2019

The purpose of this study is to examine consumers' responses to mobile payment services by using a text-mining technique focusing on Samsung Pay as it is used in both online and offline transactions. We conducted text frequency analysis, text clustering analysis, and text network analysis using R programming. The major findings are as follows. First, the most frequently used key words referenced the brand names of the mobile devices, the replacement of traditional wallets and unique functions of Samsung Pay. Second, there was a clear split between positive and negative responses at the macro level. Third, replacement of traditional wallets played a great role in the positive responses and continuous use of mobile payment services. This study provides in-depth understanding of consumer responses toward mobile payment services. It also offers practical implications that may help mobile payment marketers correspond to consumer values and expectations, thus increasing consumer satisfaction.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.2
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• pp.127-134
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• 2019

With the advancement of IT technology, the amount of data generated has been growing exponentially every year. As an alternative to this, research on distributed systems and in-memory based big data processing schemes has been actively underway. The processing power of traditional big data processing schemes enables big data to be processed as fast as the number of nodes and memory capacity increases. However, the increase in the number of nodes inevitably raises the frequency of failures in a big data infrastructure environment, and infrastructure management points and infrastructure operating costs also increase accordingly. In addition, the increase in memory capacity raises infrastructure costs for a node configuration. Therefore, this paper proposes an in-memory-based hybrid big data processing scheme for improve the big data processing rate. The proposed scheme reduces the number of nodes compared to traditional big data processing schemes based on distributed systems by adding a combiner step to a distributed system processing scheme and applying an in-memory based processing technology at that step. It decreases the big data processing time by approximately 22%. In the future, realistic performance evaluation in a big data infrastructure environment consisting of more nodes will be required for practical verification of the proposed scheme.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.2
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• pp.199-209
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• 2019

With the rapid development of mobile communication tools, customers are using SNS as a major information tool. SNS can provide information to a small number of customers as well as people around them, with information about a product or service that a small number of customers know through experience. With these characteristics, dessert cafes are being used as a major marketing tool for online websites and mobile phones using SNS. Therefore, in this study, theoretical considerations about e-WOM quality, perceived value, and visit intention were performed. The effect of e-WOM quality of dessert cafe on perceived value was analyzed and the effect of perceived value on visit intention was analyzed. Based on these results, I would like to suggest theoretical implications and practical implications for online marketing of dessert cafes. This study was conducted to survey the customers who have visited dessert cafe through oral communication within the last 6 months. The survey was conducted from September 4, 2018 to September 18, 2018, and was used for the analysis of 317 additional items. The research hypotheses between the e-WOM quality of the dessert cafe and the utilitarian value, hedonic value, and visiting intention were used the structural equation model(SEM). First, neutrality and interactivity have a significant effect on utilitarian value, but consensus and vividness have not significant effect. Second, It was found that the consensus, vividness, and neutrality had a significant effect on the hedonic value but interactivity was not found to have a significant effect. Third, hedonic value has a significant effect on visit intention, but utilitarian value has not significant effect. As a result, online e-WOM quality management is important.

• Journal of Internet Computing and Services
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• v.20 no.2
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• pp.109-118
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• 2019

The purpose of this study is to deliver both market-practical and civil-centric political implication for sharing economy by investigating the nature of consumer-adoption for car-sharing service. With the global interest and market proliferation of the sharing economy, various service models for sharing idle resources have also been released in Korea. Particularly, in case of car sharing service, public - private partnership projects are spreading rapidly in various local governments including Seoul, along with the growing demand for alternative transportation system centering on the urban area. This study conducted an empirical study on the process of accepting the car sharing service by analyzing the data collected from users of the car sharing service "Sharing Car(Nanum Car)" of Seoul Metropolitan Government. A survey was conducted on 281 users in their twenties who are in the age of main use among the experienced users of the "Sharing Car(NaNum)" residing in Seoul. The result of analysis on the relationship between these users' perceived value and intention to use the vehicle sharing service would provide implications for establishing consumer(citizen)-centeric policies as well as market implications.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.89-100
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• 2021

The National Cyber Capability Assessment(NCCA) could be used as meaningful information for improving national cyber security policy because it provides information on the elements necessary for strengthening national cyber capabilities and the level of each country. However, there were few studies on improving cyber capabilities using the NCCA result in Korea. Therefore, we analyzed the result of National Cyber Power Index(NCPI) conducted by Belfer Center of Harvard Univ. by applying modified-IPA method to derive cybersecurity policy agendas for Korea. As a result, the need to set agendas on surveillance and offensive cyber capability and improve the effectiveness of policy implementation for intelligence and defense was drawn. Moreover, we suggested need for in-depth study of each policy agenda deduced from preceding research data as a future tasks. And it is expected to increase practical use of NCCA for domestic policy analysis by developing and using our own NCCA model which considered analysis framework proposed in this study.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.370-381
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• 2021

This study examines the perceptions and demands of pre-service early childhood teachers about the Demonstration of simulated instruction for 350 students in early childhood education at 3-4 years university located in Busan, Ulsan, and Gimhae. And through this, the purposes of study are to provide basic data based on the current level of pre-school teachers for instructors leading simulated instruction and to seek effective management plans for simulated instruction to improve teaching ability. As a result of the study, pre-service early childhood teachers recognized that simulated instructions were necessary in teacher training course and helped to improve teaching ability, but they did not actively agree to expand simulated instructions and were not very satisfied with the methods of instructors in demonstration of simulated instruction. They wanted to receive feedback from instructors who have practical teaching knowledge and skills based on field experience at least two times during preparation stage and evaluation stage of the simulated instructions. And they wanted to be guided specifically on principles and methods of preparing educational plans, effective interactions and questions with young children. They wanted the feedback, the most preferred form of feedback is form of participations by all class members and instructors. In addition to instructor's feedback, they required experience of simulated instruction in which infants and toddlers participate together.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.795-806
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• 2021

Recently, as text data through online channels have become vast, there is a growing interest in research that summarizes and analyzes them. One of the fundamental analyses of text data is to extract potential topics. Although the researcher may read all the data and summarize the contents one by one, it is not easy to deal with large amounts of data. Blei and Lafferty (2007) and Blei et al. (2003) proposed topic modeling methods for extracting topics using a statistical model. Since the text data is generally collected over time, it is worthwhile to monitor the topic's changes. In this study, we propose a topic index based on the results of the topic model. In addition, a control chart, a representative tool for statistical process management, is applied to monitor the topic index over time. As a practical example, we use text data collected from Blue House National Petition boards between March 5, 2018, and March 5, 2020.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.356-367
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• 2021

This study is a study on how much organizational leadership influences customer orientation so that it can secure and maintain a continuous competitive advantage in the rapidly changing environment of corporate management and public organizations. it was approached through theoretical consideration of pygmalion leadership. The purpose of this study is as follows. First, a conceptual definition of the three research variables of pygmalion leadership and its constituent atmosphere, feedback, and output is given. Second, the casual relationship between the conceptually defined three research variables of pygmalion leadership and self-efficacy and organizational commitment was verified. Third, the casual relationship was verified on the extent to which pygmalion leadership influences customer orientation through self-efficacy and organizational commitment, which are parameters. Fourth, through the verification result of the casual relationship between the research variables constituting the research model of this study. It was intended to present an implication. In addition, the significance of direct causal relationships between the research variables of pygmalion leadership, mediating variables, and dependent variables, which constitute the verified research models was verified, and the results of hypothesis testing were presented, and the academic and practical implications of the results of this study were presented.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.167-176
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• 2021

Incheon Port urgently requires designation of a free trade zone to pursue development linked with the port hinterland while promoting continuous growth of the port. This study aims to evaluate the optimal location and derive policy implications for the designation of a free trade zone and analyzed factors property divided by groups. This study used the Consistent Fuzzy Preference Relation (CFPR) analysis technique to derive a practical construction direction by quantifying and evaluating linguistic measures. As a result, the Incheon New Port hinterland showed the highest location competitiveness among the four candidate areas of Incheon New Port hinterland, Aam Logistics Complex 2, North Port hinterland, and Gyeongin Port hinterland. Among the eight evaluation factors consisting of qualitative and quantitative factors, the Incheon New Port hinterland ranked no. 1 in all the four qualitative factors and one quantitative factor and received the highest total score. Also, Group 1 presented 'possibility to attract tenant companies' as first. Group 2 was 'complex size' and Group 3 was also 'possibility to attract tenant companies'. This study has the implication for suggesting the factors and evaluation structure of Free Trade Zone. Future research requires detailed empirical studies, such as expanding the subject of study or selecting factors that reflect the interests of each group.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.249-260
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• 2021

This study is a meta-analysis study conducted to integrate and analyze the results of flip-learning studies for Korean nursing students. We searched PubMed, EMBASE, Cochrane, CINAHL, and Korean databases. Randomized controlled trials (RCTs) and Non-Randomized controlled trials (Non-RCTs) evaluating the effects of flipped learning for Korean nursing students were included. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were calculated using a random-effects meta-analysis. The entire effect size in flipped learning was big in effect size (SMD = 1.21; 95% CI = 0.84 to 1.63; I2 = 93.9; n = 23) compared to the control groups. The analysis results of subgroups according to the classification of Bloom showed that flipped learning was found to have a significant effect on psychomotor domain, cognitive domain, and affective domain. A total of 10 literature analyses, this meta-analysis showed that flipped learning on Korean nursing students is effective in psychomotor, cognitive, and affective domain than the traditional teaching method. The flip learning can be integrated into theoretical and practical nursing education to improve the academic performance of nursing students.