• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.153-168
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• 2024

The purpose of this study was to verify the correlation between variables that affect the intention to continue using medical information service applications. Then, we established a research model based on ETPB and conducted an empirical study using PLS-SEM.According to the empirical analysis results, First, intimacy, prior knowledge, and cost saving were confirmed to have a significant impact on the TPB variables such as attitude, subjective norm, and perceived behavioral control. Second, it was confirmed that TPB variables had a significant impact on behavioral intention, and behavioral intention had a significant impact on continued use intention. Third, it was confirmed that familiarity, prior knowledge, and cost saving had a significant impact on the intention to continue use through the mediation of behavioral intention based on the perception shift of medical consumers. The significance of this study is that it empirically investigated the behavior of medical consumers by deriving the impact on their intention to continue using medical information service applications through their behavioral intentions.

• Cartoon and Animation Studies
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• s.38
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• pp.1-28
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• 2015

The work appeared a featured female character in the Disney animation film begins with 'Snow White' released in 1937. After then, the 11 female characters appeared included 'Tangled' in 2010. Female characters reveal their identity due to obedient, family-oriented and marriage with prince and then gradually develop to heroine who leads to man, and is independent, pioneering, and sometimes saves the nation. Nevertheless, the ending of the Disney animation was still not escape the institutional, traditional discourse. Female characters are followed to meet the featured actor kissing and marriage, or was to show the virtues of sacrifice for the actor. However, Elsa in 'Frozen' is the character with an independent identity compared with the patriarchy, male chauvinism and heterosexual dichotomous discourse given so far in Disney. In this study, it is to explain the change of gender identity in the character of Elsa through Queer theory that deconstructs the distinction between sex and gender, and is constituted by the actions typed and performed the gender concept, and is dismantling the dichotomy itself such as male/female, heterosexual/homosexual. The performative of Queer make the boundaries between lesbian-gay, sexuality and heterosexual ambiguous. It can be said that the performative has political nature resisted to the dominant discourse through these parodiable strategy. The performative showed of Elsa is in the boundaries between the sisterhood and the heterosexual. When analyzed in a heterosexual perspective Elsa's identity is to be understood as simply just love the intimacy of a sister and a sister. On the other hand, if you focused on the relationship between women and the relationship between Elsa and Anna is recognized as the point of view of homosexuality. Because if you look at the concept of lesbian continuum, the homosexual love in the female characters of Disney seems like a bond between women, easier than heterosexual love can be hidden sexual desires. Elsa has developed into a performative identity through the expression of performative and the inhibitory of queer identity. And then the her sorcery that was initially contraindicated and the presence of a fear became to the 'lesbian phallus'. The sorcery that can be seen the signifying phallus against to the privileges of heterosexual patriarchy is recognized in the world of Arendal. Elsa is a new women featuring Disney characters. as this character is analysised by Queer theory, this study seeks to expand the area of the various character analysis methods.

• Journal of Korean Home Economics Education Association
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• v.16 no.2
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• pp.37-53
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• 2004

The purpose of this study is to observe the developmental Process of interaction and attitude of children through instruction for “making fabric doll”. Based on the theory of “Waldorf Education”, instruction of 8 hours for 3 weeks exercised against 40 children(18 boys, 22 girls) of 6th grade, especially focused two group(10 children), in K elementary school in Chunchoen. The results of the study by qualitative research method through observing, recording, interpretation are as follows 1. The changes in interaction among children were observed in increase of quantity and quality of conversation among children, of reliability and dependence among children, of intimacy and cooperation among children, and of intimacy between teacher and children. 2. The changes in the attitude toward instruction were observed in increase of confidence and satisfaction, of active and attentive attitude to instruction via more interest about own fabric doll, of positive attitude through attachment to the doll. Therefore, the instruction of “making fabric doll” based on “Waldorf Education” seems to be efficient to child development and Practical Arts Education.

• Korean journal of communication and information
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• v.67
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• pp.209-240
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• 2014

This study observes reporters' awareness on the use of social media and their Core Values by using the Theory of Means-End Chain and drawing conclusions from a Hierarchical Value Map (HVM). In order to analyze reporters' knowledge and awareness on the use of social media via the laddering method, in-depth interviews of 46 reporters were conducted. The study showed that reporters consider sense of kinship, well-balanced understanding, and the desire for knowledge to be important Core Values. The results revealed that the convenience in interpersonal communication, development of intimacy in relationships, entertainment and affection, curiosity, the reduction in the cost of the acquisition of information, understanding of trends in issues, a peek into new information and the maintenance of interests, psychological dependability, and quick updates on information items are considered important Consequences of social media. In the Attributes level, the ability to write postings and links on Facebook and readability and 'follow' and 'mention' features on Twitter were confirmed to be important items in social media. The findings infer that reporters that make use of social media use Twitter and Facebook to build a sense of kinship with other users and gain well-balanced understanding by accessing a lot of information through social media. While this study examined the level of reporters' familiarity with the use of social media via the laddering method, the results cannot be seen as a generalization, as the interviewees were reporters from only the major news organizations.

• Journal of The Korean Association For Science Education
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• v.40 no.1
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• pp.13-28
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• 2020

This study attempted to understand the characteristics of images of scientific experiments represented and consumed on YouTube, a representative of today's new media. In particular, this paper analyzes the case studies of YouTube's hydrogen peroxide decomposition experiment based on Baudrillard's theory of Simulation and Simulacra, which discusses the strong status of images and the ambiguity of the boundary between virtual and reality. A total of 14 YouTube videos related to hydrogen peroxide decomposition experiments were analyzed. In those videos, hydrogen peroxide decomposition experiments were typically conducted with several signs representing scientific experiments, but the most important sign in the videos were bubbles produced through experiments. For more public consumption of the content, the bubbles resulted from hydrogen peroxide decomposition reproduced in YouTube have been transformed into a more spectacular image as 'super-huge' and 'explosive' bubble. Considering the influence of new media that can be accessed by students anytime and anywhere, it is positive that science experiments in new media enhance students' intimacy and access to science. At the same time, however, it is also important to note the danger that the purpose of scientific experiments will be limited to only 'showing specular images', due to the nature of new media, which mainly deals with immediate and superficial images. Furthermore, this study argues that improving students' science media literacy is required to critically examine the science-related images represented in the new media based on understanding the characteristics and limitations of new media that deeply affect daily life.

• Child Health Nursing Research
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• v.19 no.3
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• pp.187-197
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• 2013

Purpose: The purpose of the study was to develop an emotional self-regulation program for obese children and to examine the program's effectiveness on depression, eating habits, and body mass index. Methods: The emotional self-regulation program was developed from theory-based strategies and a pre-post pilot study was conducted with 46 children (19: intervention, 27: control). The program included 6 weekly group sessions over 2 months. The embedded experimental model of concurrent mixed methods was used to better understand research outcomes by converging both quantitative and qualitative data. Anthropometric measurements and surveys were performed before and after the intervention. Three focus group interviews were conducted with all participants after intervention to explore their experiences. Results: The intervention group displayed decreased depression levels in the quantitative outcomes. The participants also expressed positive outcomes such as improvements in confidence, impulse management, intimacy, happiness, and losing weight. Conclusion: These findings suggest that emotional self-regulation skills are crucial factors for obese children not only to manage their emotional problems but also to control their weight. Further research is needed with a larger sample size and randomized controlled trials.

• Management & Information Systems Review
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• v.33 no.1
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• pp.279-298
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• 2014

This research is based on service marketing to explain the effect of barista job attributes as the antecedents of lovemarks for increasing brand loyalty. The analysis was held with customers who experienced local and national coffee shop in Pusan area by using SPSS18K and Smart PLS 2.0. The study verified the structural equation model hypothesizing the relationship among related factors including barista job attributes, lovemarks and brand loyalty. According to the result of this study, barista job attributes factors including expertise, communication, and service orientation have positive effect on the lovemark. Furthermore, structural relationships among lovemark variables were identified through hypothesis testing. However, the effects of expertise and service orientation on intimacy were not significant especially in local brand. Additional multi-group testing was conducted to explain managerial implication of this research. The research has several marketing implication on service marketing and lovemark theory. For firms, customers'perception of barista's job attributes can generate positive lovemark effect and develop brand loyalty in the service marketing perspectives.

• Journal of Distribution Science
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• v.11 no.1
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• pp.45-53
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• 2013

Purpose - The environment-friendly agricultural product market in Korea sees continual high growth. Recently, the Korean government has been actively fostering environment-friendly agriculture as an engine of future growth. Korean people have increasingly become more health-conscious and interested in food safety issues. Many distribution and retailing companies have responded with various promotional activities. However, most of these are not strategic and appear to have unsatisfactory outcomes. The main purpose of this paper is to suggest effective marketing strategies for environment-friendly agricultural products. To achieve this aim, the study empirically investigates the effects of consumer characteristics and trust on the purchase intention of environment-friendly agricultural products. Research design, data, methodology - Based on the theory of planned behavior, and previous studies related to the purchase intention and consumption of environment-friendly agricultural products, we set up five study hypotheses. These related to the demographic characteristics of consumers, purchase intention, and behavior of the products. We then set up a study model and four study hypotheses relating to health consciousness, environmental consciousness, consumer trust level, purchase intention, and behavior of the products. The data were collected using a questionnaire given to consumers living in Seoul and southern Geonggi Province. The final sample size is 403 and mean age is 44.3. SPSS 15.0 for Windows and Amos 7.0 were used as statistical analysis tools. Meaningful results were derived using frequency analysis, correlation analysis, a t-test, and structural equation modeling. Results - Empirical results of this research are as follows. (1) First, it is shown that consumers consider such attributes as intimacy and health to be important when they buy environment-friendly agricultural products. (2) We also found that consumers recognize the value of environment-friendly agricultural products as high, but their trust level as low. (3) Consumer groups consisting of married couples, with higher education, higher income, and higher age are shown to have a higher intention of buying environment-friendly agricultural products than any other consumer group. (4) It is estimated that the level of consumer trust positively affects the purchase intention of environment-friendly agricultural products. The path coefficient (.138) between consumer trust and purchase intention is statistically significant at the α = .05 level. (5). It is also estimated that environmental consciousness positively affects purchase intention. The path coefficient (.245) between environmental consciousness and purchase intention is statistically significant at the α = 0.05 level. The standardized path coefficients of consumer trust and environmental consciousness with purchase intention are .556 and .288 respectively. Therefore, consumer trust affects purchase intention more than environmental consciousness. (6) Finally, purchase intention is estimated to positively affect purchase behavior. Conclusions - Based upon empirical results, this research suggests that marketers of environment-friendly agricultural products should focus more on increasing consumer trust levels, emphasizing the training and education of employees. The government also should pay attention to a standardized certification system for environment-friendly agricultural products. Marketers of environment-friendly agricultural products should consider the consumer groups of married couples, with higher education, higher income, and higher age as a major target segment.

• Informatization Policy
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• v.29 no.3
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• pp.82-104
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• 2022

One of the interesting social phenomena in short-form video platforms is the hashtag challenge wherein ordinary users are encouraged to create by imitating short viral videos on a particular theme. Despite the increasing popularity of hashtag challenges, theoretical discussion on related user behavior is still very insufficient. In this study, we attempted to examine the impact of micro-influencers in order to understand users' willingness to participate in hashtag challenges. For this purpose, the para-social interaction theory and imitation behavior literature were adopted as key theoretical basis. In an empirical investigation using 243 survey data from TikTok users, our study found that a user's illusion of intimacy with a micro-influencer (i.e., para-social interaction) had significant positive impact on the intention to participate in a hashtag challenge. This study also showed that the degree of para-social interaction in a short-form video platform was determined by both media content-related factors and media character-related factors (i.e., content attractiveness, physical attractiveness, and attitude homophily). Our work in this study provided significant theoretical and practical implications on how to leverage micro-influencers for the success of hashtag challenges in a short-form video platform.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.117-127
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• 2012

Due to the recent expansion of the Web 2.0 -based services, along with the widespread of smartphones, online social network services are being popularized among users. Online social network services are the online community services which enable users to communicate each other, share information and expand human relationships. In the social network services, each relation between users is represented by a graph consisting of nodes and links. As the users of online social network services are increasing rapidly, the SNS are actively utilized in enterprise marketing, analysis of social phenomenon and so on. Social Network Analysis (SNA) is the systematic way to analyze social relationships among the members of the social network using the network theory. In general social network theory consists of nodes and arcs, and it is often depicted in a social network diagram. In a social network diagram, nodes represent individual actors within the network and arcs represent relationships between the nodes. With SNA, we can measure relationships among the people such as degree of intimacy, intensity of connection and classification of the groups. Ever since Social Networking Services (SNS) have drawn increasing attention from millions of users, numerous researches have made to analyze their user relationships and messages. There are typical representative SNA methods: degree centrality, betweenness centrality and closeness centrality. In the degree of centrality analysis, the shortest path between nodes is not considered. However, it is used as a crucial factor in betweenness centrality, closeness centrality and other SNA methods. In previous researches in SNA, the computation time was not too expensive since the size of social network was small. Unfortunately, most SNA methods require significant time to process relevant data, and it makes difficult to apply the ever increasing SNS data in social network studies. For instance, if the number of nodes in online social network is n, the maximum number of link in social network is n(n-1)/2. It means that it is too expensive to analyze the social network, for example, if the number of nodes is 10,000 the number of links is 49,995,000. Therefore, we propose a heuristic-based method for finding the shortest path among users in the SNS user graph. Through the shortest path finding method, we will show how efficient our proposed approach may be by conducting betweenness centrality analysis and closeness centrality analysis, both of which are widely used in social network studies. Moreover, we devised an enhanced method with addition of best-first-search method and preprocessing step for the reduction of computation time and rapid search of the shortest paths in a huge size of online social network. Best-first-search method finds the shortest path heuristically, which generalizes human experiences. As large number of links is shared by only a few nodes in online social networks, most nods have relatively few connections. As a result, a node with multiple connections functions as a hub node. When searching for a particular node, looking for users with numerous links instead of searching all users indiscriminately has a better chance of finding the desired node more quickly. In this paper, we employ the degree of user node vn as heuristic evaluation function in a graph G = (N, E), where N is a set of vertices, and E is a set of links between two different nodes. As the heuristic evaluation function is used, the worst case could happen when the target node is situated in the bottom of skewed tree. In order to remove such a target node, the preprocessing step is conducted. Next, we find the shortest path between two nodes in social network efficiently and then analyze the social network. For the verification of the proposed method, we crawled 160,000 people from online and then constructed social network. Then we compared with previous methods, which are best-first-search and breath-first-search, in time for searching and analyzing. The suggested method takes 240 seconds to search nodes where breath-first-search based method takes 1,781 seconds (7.4 times faster). Moreover, for social network analysis, the suggested method is 6.8 times and 1.8 times faster than betweenness centrality analysis and closeness centrality analysis, respectively. The proposed method in this paper shows the possibility to analyze a large size of social network with the better performance in time. As a result, our method would improve the efficiency of social network analysis, making it particularly useful in studying social trends or phenomena.