• Journal of Industrial Convergence
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• v.20 no.12
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• pp.49-57
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• 2022

This study was conducted to investigate the relationship between self-esteem, self-awareness, and empathy and to identify factors that influence empathy among 302 nursing students from a university in C city from March to May 2021. The collected data were subjected to t-test, ANOVA, correlation and multiple regression analysis. As a result of the study, empathy was 3.59 points out of 5, and gender and nursing department satisfaction were significantly different from empathy. The factors that had a significant effect on empathy were private self-awareness, public self-awareness, positive self-esteem, and gender, with the explanatory power of 22.9%. In order to increase the level of self-esteem, self-awareness and empathy for nursing students, it is necessary to establish a new curriculum that examines interest in their inner world. Development of various curriculum programs such as team classes that help promote interaction using small groups and role-playing classes that explore and experience one's own or others' thoughts and emotions are suggested.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.3
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• pp.879-886
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• 2018

The basic search engine on Twitter shows not only tweets that contain search keywords, but also all articles written by users with nicknames containing search keywords. Since the tweets unrelated to the search keyword are exposed as search results, it is inconvenient to many users who want to search only tweets that include the keyword. To solve this inconvenience, this study improved the search function of Twitter by developing an algorithm that searches only tweets that contain search keywords. The improved functionality is implemented as a Web service using ASP.NET MVC5 and is available to many users. We used a powerful collection method in C# to retrieve the results of an object, and it was also possible to output them according to the number of 'retweets' or 'favorites'. If the number of retrieved numbers is less than a given number, we also added an exclusion filter function. Thus, sorting search results by the number of retweets or favorites, user can quickly search for opinions that are of interest to many users. It is expected that many users and data analysts will find the developed function convenient to search on Twitter.

• Journal of the Korean Society for Library and Information Science
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• v.30 no.2
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• pp.167-188
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• 1996

The lack of an understanding of the characteristics and searching abilities of a specific user group in computer-based information systems in libraries hinders library and information science professionals in making the best decisions when designing, acquiring, and managing information systems. The objective of this study was to provide information on the characteristics and searching abilities of specific groups such as Korean college students & ones who study abroad, male & female, undergraduate & graduate students, etc. This study also has focused on the methods of loaming to use OPACs and non-user study. Questionnaire was administered to both Korean college students in the city of Taegu, Korea and students who study abroad in the state of Texas, US.A. 345 usable questionnaires were obtained and analyzed. These were analyzed using descriptive, inferential statistics, multiple correlation, and SPSS software. The. major findings of this study are: (1) There was a significant difference among specific student user groups except undergraduate and artiste-athlete students in the distribution of their knowledge about how to use OPACs: (2) There was a significant difference among specific groups in the means of their knowledge: (3) There was no significant difference among un. groups in the distribution of loaming method to use OPAC systems : (4) The correlation between the number of searching methods that the respondents knew in using OPACS and the amount of using computers (0.6635) is comparatively higher than my other correlation to the searching methods. Also, years of experience using computers, frequencies of computer use, and frequencies of OPAC use are comparatively higher than frequencies of library use and frequencies of manual card catalog un: (5) Frequencies of manual card catalog use have low negative correlations with the number of searching methods that the respondents knew in using OPACs: (6) Frequencies of manual card catalog use have little if any negative negative with OPAC and computer use. Conclusions are drawn from the findings in this paper, and recommendations an proposed when designing, adopting, or managing a new system. Topics fur future studies on the characteristics of OPAC systems and their use are also suggested.

• Science of Emotion and Sensibility
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• v.24 no.1
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• pp.91-104
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• 2021

This study explored users' emotional states identified from the wake-up words -"Hi, KIA!"- using a machine learning algorithm considering the user interface of passenger cars' voice. We targeted four emotional states, namely, excited, angry, desperate, and neutral, and created a total of 12 emotional scenarios in the context of car driving. Nine college students participated and recorded sentences as guided in the visualized scenario. The wake-up words were extracted from whole sentences, resulting in two data sets. We used the soundgen package and svmRadial method of caret package in open source-based R code to collect acoustic features of the recorded voices and performed machine learning-based analysis to determine the predictability of the modeled algorithm. We compared the accuracy of wake-up words (60.19%: 22%~81%) with that of whole sentences (41.51%) for all nine participants in relation to the four emotional categories. Accuracy and sensitivity performance of individual differences were noticeable, while the selected features were relatively constant. This study provides empirical evidence regarding the potential application of the wake-up words in the practice of emotion-driven user experience in communication between users and the artificial intelligence system.

• Journal of the Korean Data and Information Science Society
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• v.23 no.2
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• pp.317-331
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• 2012

The purpose of this study was to verify the relationship among servant leadership, empowerment and sports satisfaction of badminton coaches by self-leadership. Among national badminton players, total 343 copies of data were collected and used at the study by using of random sampling. The normal distribution on data and the validity and reliability for each factors were proven to confirm through descriptive statistics, exploratory & confirmatory factor analysis and reliability analysis with SPSS 18.0 and AMOS 18.0 program. The relationship among each factors by the purpose of study were analyzed by correlation analysis and structural model analysis. The results were as follows. First, the servant leadership of badminton coaches had positive effect on empowerment. Second, the servant leadership of badminton coaches had positive effect on self-leadership. Third, the servant leadership of badminton coaches had positive effect on sports satisfaction. Fourth, empowerment had positive effect on sports satisfaction. Fifth, self-leadership had positive effect on sports satisfaction. Sixth, for the relationship between servant leadership and sports satisfaction, empowerment and self-leadership had indirect effects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.88-98
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• 2017

The purpose of this study is to investigate the effect of product selection of hospital workers cosmeceutical cosmetics on marketing communication among hospital workers who use cosmeceutical cosmetics that have emerged in line with the recent growing medical skin care field.Coping with complaints from consumers who buy cosmeceutical cosmetics in hospitals where cosmeceutical cosmetics are mainly used and sold, and minimizing the influence of negative issues will potentially strengthen consumer relationships. The study was conducted on 520 hospital workers who use cosmeceutical cosmetics in hospitals (dermatology, plastic surgery, women's clinic, and other hospitals) in Seoul, Gyeonggi and Incheon. A total of 502 questionnaires were used for the final analysis. The data analysis consisted of Cronbach's alpha, one-way ANOVA, exploratory factor analysis and Duncan test. Correlation analysis was performed to investigate the correlation between variables, and regression analysis was conducted to test hypotheses. The study results revealed that when choosing cosmetic cosmetics, marketing communication is influential. Especially, product value, quality, and price factors strongly affect marketing communication. This shows that we value the product and quality the most and we want a reasonable price. Considering this, we will pursue differentiated products only from cosmeceutical cosmetics and provide them as basic data necessary for securing potential customers and increasing the sales of cosmeceutical cosmetics in accordance with the changing trends.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.235-241
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• 2017

This study investigated the performance factors for entry into the labor market of 4 - year college graduates using KEEP data and to determine how the labor market performance is related to the training institutions. The labor market performance is termed as 1) labor market entry time, 2) employment type, and 3) wage. Correspondence analysis was carried out with a nominal variable indicating the characteristics of a training institute, in which the respondents were trained for employment, and the relationship between the two was expressed in a more visible way. First, as a result of analyzing the first job transition period, the shortest training institutes were analyzed as public institutes, followed by private institutes and universities. Second, the employment rate of the public institutions is higher than that of private institutes and universities. Second, the employment rate of public institutions is higher than that of private institutes and universities. Third, the wage level of public institutes ranged from wage level 1 to 3, while private institutes had a wage level ranging from 2 to 4. Universities showed a wide range from 1 to 5. Based on these results, this study can analyze the difference in the labor market performance by training institutions when young people enter society.

• Information Systems Review
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• v.22 no.3
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• pp.119-142
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• 2020

This study aims to examine the role of IT features as heuristic cues in choosing a content on YouTube. According to the heuristic-systematic model, people tend to rely on heuristic cues when they have to choose and process useful information quickly so that they could save time and reduce demands for thinking. Based on this line of reasoning, this study posits that YouTube users rely on certain IT features as heuristic cues in choosing contents before they actually watch them. Based on the prior literature and interviews with YouTube users, we develop a research model in which social endorsement, self-presentation, and interactivity are identified as potential determinants of users' attitude toward contents, which in turn influence their intention to watch them. To empirically test the research model, we conduct a laboratory experiment and a follow-up survey. The results of data analysis show that social endorsement for the content, YouTube creator's self-presentation, and interactivity have significant and positive effects on their attitude toward the content, leading to their intention to watch it. This study suggests that IT features on YouTube could be wisely utilized to increase the chance that users choose a particular content out of many competing contents when they search certain information on YouTube.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.1
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• pp.33-53
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• 2024

By identifying the relationship between Interest of Entrepreneurship and intention, this study clarifies the entire lifecycle process leading up to a college student's decision to start a business. We explore whether an individual's Interest of Entrepreneurship stemming from start-up activities and the interest of parents toward their children's start-up affect start-up intention. For this purpose, attitude toward start-up, subjective norms, and perceived behavioral control, which are components of the Theory of Planned Behavior (TPB), were set as parameters. Furthermore, start-up self-efficacy was established as a moderating variable to examine the relationships between factors and their importance. In addition, survey questionnaires were collected from 300 college students in Korea, and after excluding 18 insincere responses, a total of 282 were analyzed using SPSS 26 and AMOS 26. The main findings are as follows. First, an individual's Interest of Entrepreneurship has a significant impact on start-up intention, mediated by attitude toward start-up, subjective norms, and perceived behavioral control. Therefore, future college start-up education should apply the components of TPB to enhance its effectiveness, and various start-up activities should be provided to foster students' interest. Secondly, parents' interest in start-up has a significant impact on subjective norms and perceived behavioral control. Therefore, even if parents are interested in their children's start-up activities, such interest does not necessarily lead to favorable attitude. However, as it significantly impacts subjective norms and perceived behavioral control, start-up education targeting parents linked to these parameters could increase college students' Interest of Entrepreneurship and intentions.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.107-129
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• 2022

It is important to preempt new technology because the technology competition is getting much tougher. Stakeholders conduct exploration activities continuously for new technology preoccupancy at the right time. Gartner's Hype Cycle has significant implications for stakeholders. The Hype Cycle is a expectation graph for new technologies which is combining the technology life cycle (S-curve) with the Hype Level. Stakeholders such as R&D investor, CTO(Chef of Technology Officer) and technical personnel are very interested in Gartner's Hype Cycle for new technologies. Because high expectation for new technologies can bring opportunities to maintain investment by securing the legitimacy of R&D investment. However, contrary to the high interest of the industry, the preceding researches faced with limitations aspect of empirical method and source data(news, academic papers, search traffic, patent etc.). In this study, we focused on two research questions. The first research question was 'Is there a difference in the characteristics of the network structure at each stage of the hype cycle?'. To confirm the first research question, the structural characteristics of each stage were confirmed through the component cohesion size. The second research question is 'Is there a pattern of diffusion at each stage of the hype cycle?'. This research question was to be solved through centralization index and network density. The centralization index is a concept of variance, and a higher centralization index means that a small number of nodes are centered in the network. Concentration of a small number of nodes means a star network structure. In the network structure, the star network structure is a centralized structure and shows better diffusion performance than a decentralized network (circle structure). Because the nodes which are the center of information transfer can judge useful information and deliver it to other nodes the fastest. So we confirmed the out-degree centralization index and in-degree centralization index for each stage. For this purpose, we confirmed the structural features of the community and the expectation diffusion patterns using Social Network Serice(SNS) data in 'Gartner Hype Cycle for Artificial Intelligence, 2021'. Twitter data for 30 technologies (excluding four technologies) listed in 'Gartner Hype Cycle for Artificial Intelligence, 2021' were analyzed. Analysis was performed using R program (4.1.1 ver) and Cyram Netminer. From October 31, 2021 to November 9, 2021, 6,766 tweets were searched through the Twitter API, and converting the relationship user's tweet(Source) and user's retweets (Target). As a result, 4,124 edgelists were analyzed. As a reult of the study, we confirmed the structural features and diffusion patterns through analyze the component cohesion size and degree centralization and density. Through this study, we confirmed that the groups of each stage increased number of components as time passed and the density decreased. Also 'Innovation Trigger' which is a group interested in new technologies as a early adopter in the innovation diffusion theory had high out-degree centralization index and the others had higher in-degree centralization index than out-degree. It can be inferred that 'Innovation Trigger' group has the biggest influence, and the diffusion will gradually slow down from the subsequent groups. In this study, network analysis was conducted using social network service data unlike methods of the precedent researches. This is significant in that it provided an idea to expand the method of analysis when analyzing Gartner's hype cycle in the future. In addition, the fact that the innovation diffusion theory was applied to the Gartner's hype cycle's stage in artificial intelligence can be evaluated positively because the Gartner hype cycle has been repeatedly discussed as a theoretical weakness. Also it is expected that this study will provide a new perspective on decision-making on technology investment to stakeholdes.