• Journal of Digital Convergence
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• v.14 no.3
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• pp.243-250
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• 2016

The importance of platform businesses in the global market is growing, but in Korea, platform businesses with a global competitive edge are rare. This study compared the competitiveness of the local and international platform businesses by analyzing the six success factors of platform businesses. It surveyed 104 professionals in ICT regarding the competitiveness of SNS services (Kakao Talk, Facebook), mobile payment systems (Samsung Pay, Apply Pay), digital content (Naver, YouTube), online shopping (G Market, Amazon) and education (K-MOOC, MOOC). In sum, the local platform business sector, compared to its U.S. counterpart, is lagging behind in creativity, value creation, cost reduction, networking effects and the ability to build, change and develop new ecosystems.

• Journal of Korean Academy of Nursing
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• v.47 no.6
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• pp.756-769
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• 2017

Purpose: To identify the effects of a smart program for the patients who underwent percutaneous coronary intervention (SP-PCI) on coronary disease-related knowledge, health behaviors, and quality of life. Methods: A nonequivalent control group with a non-synchronized design was utilized and 48 participants (experimental=22, control=26) were recruited from a university hospital in Gyeongsang area from May to December, 2016. The 12-week SP-PCI consisted of self-study of health information using smart phone applications (1/week), walking exercise (>5/week) using smart band, feedback using Kakao talk (2/week), and telephone counseling (1/week). Patients in the control group received usual care from their primary health care providers and a brief health education with basic self-management brochure after the PCI. Data were analyzed using the SPSS 21.0 program through descriptive statistics, $x^2$ test, and t-test. Results: After the 12-week SP-PCI, the experimental group showed higher levels of coronary disease-related knowledge (t=2.43, p=.019), heart-related health behaviors (t=5.96, p<.001), regular exercise (Z=-4.47, p<.001), and quality of life-MCS (t=3.04, p=.004) and showed lower levels of stress (Z=-3.53, p<.001) and sodium intake (t=-4.43, p<.001) than those in the control group. There were no significant group differences in medication adherence and food intake in total energy, lipids, and cholesterol. Conclusion: The suggested SP-PCI provided easy access and cost-effective intervention for patients after PCI and improved their knowledge of the disease, performance of health behaviors, and quality of life. Further study with a wider population is needed to evaluate the effects of SP-PCI on disease recurrence and quality of life for patients after PCI.

• Convergence Security Journal
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• v.15 no.5
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• pp.87-95
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• 2015

Recently, The cloud computing technology is emerging as an important issue in the world, and In technology and services, has attracted much attention. Cloud services have evolved from simple forms to complex forms(using multiple mobile devices and communication services(Kakao talk, Facebook, etc.). In particular, as the cloud is especially facilitated the collection of user information, it can now be analyzed with the user's taste and preference. And many of the benefits of the cloud became increasingly closely with our lives. However, the positive aspects of cloud computing unlike the includes several vulnerabilities. For this reason, the Hacking techniques according to the evolution of a variety of attacks and damages is expected. Therefore, this paper will be analyzed through case studies of attack and vulnerability to the privacy threats factors of the cloud computing services. and In the future, this is expected to be utilized as a basis for the Privacy security and Response.

• Journal of Korean Society of Rural Planning
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• v.26 no.2
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• pp.117-126
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• 2020

In this study, demands of smart technology development were analyzed for rural village communities. Questionnaire items were derived by grasping the current status of information and communication technology. 49 villages in 8 regions were selected and surveys and statistical analysis were conducted. The main results of the study are as follows. First, 92% of community leaders use smartphones, search for information (38%), communicate with the Internet (36%) using smartphones, use KakaoTalk (31%), and Facebook (24%). Second, in the rural and urban exchange activities, promote support information service (51%) and promote method suggestion service (48.5%) showed that the demand for services in promote field was high. It is linked to the creation of economic opportunities. Third, in the income and production activities, demand for distribution services technology (39.3%) was high in the field of production and distribution, and cold chains that help maintain freshness until food, such as meat, fish, and vegetables are delivered to consumers when agricultural products are distributed. The constant temperature control system needs to be actively introduced. Fourth, autonomy activities showed the highest demand for air conditioning and control systems (34.2%) of community building, and the lowest demand for electronic voting (9.4%) and videoconferencing (9.4%) services. Lastly, in the general activity area of the community, the demand for technology of emergency services (37.1%) and health self-diagnosis service (35.4%), which are technologies in the welfare sector, ranked first and second respectively.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.74-85
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• 2019

This Study explores the reason why the social media like Cyworld, Iloveschool in Korea in the viewpoint if the layered model by interview. As a result the success factor in the viewpoint of layered model, user used social media for fulfilling the need for linking with other users and the social media offers the customized contents to user. Finally the social media dominated the market in advance. Facebook and Kakao talk are good examples of successful media. The failure factors are to care less about what other users want, to limit the expand of platform and not to copy with the change of the media environment. Iloveschool, Cyworld and Twitter are the examples of failure social media in Korean society. This study highlights the importance of the sensitivity of the change of environment. The expert mentioned the importance of 4th industrial revolution technology like AI, Big data and expected that new technology will emerge and the service will be developed by the change of user's taste.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.193-199
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• 2021

The purpose of this study was to apply a teaching method that fits the characteristics of learners through the improvement and application of subjects for reinforcing SWP, and to seek ways to strengthen field practice. As a result of the study, first, as a method of applying learner motivation, it is necessary to conduct discussions by inviting practitioners in the field, and to watch the progress of projects by type of social welfare site. Second, as a way to participate in learners, it is necessary to analyze excellent proposals, participate in events held at welfare sites, present various dilemma cases in the field, and try to overcome ethical dilemmas by sharing cases overcoming dilemma, and to make efforts to list practical skills required in social welfare field practice. Third, it is necessary to apply such methods as phone calls, e-campus, Kakao Talk, Zoom, and counseling techniques that are conducted in the case management process as a way to apply interaction, and discuss issues that are important in the welfare field.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.43-51
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• 2022

The purpose of this study is to provide basic information necessary for the establishment of mobile service marketing strategies, educational service development, and engineering education for Generation Z by analyzing the utilitization of various applications by Gen Z. To this end, 177 essays on mobile service usage experience were collected, major topics were analyzed using topic modeling, and these were visualized through word cloud analysis. As a result of the study, the main topics were related to 'transportation' such as movement and public transportation, 'personal management' such as schedule management, financial management, food management, 'transaction' such as checkout, meeting, purchase, 'leisure' such as eating out, travel, study, culture. Additionally, words such as time, thought, people, life, bus, information, confirmation, payment, KakaoTalk, and so on were found to have a high of frequency of use. Also, there was found to be a difference between topics by college. This study is meaningful in that it collected essays, which are unstructured data, and analyzed them through topic modeling.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.117-125
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• 2022

This study presents product marketing strategy for mobile gift-giving by recognizing how consumers' propensity of conspicuous consumption and level of impression management affect the choice between hedonic goods and utilitarian goods. Data were collected through an online survey, and logistic regression analysis was performed using SPSS 23.0. The result of this study showed that people with high propensity of conspicuous consumption chose hedonic goods more than utilitarian goods in mobile gift-giving regardless of the level of impression management. On the other hand, those who with low propensity of conspicuous consumption chose utilitarian goods more than hedonic goods when the level of impression management was low, while these was no difference in choice between hedonic and utilitarian goods when the level of impression management was high. This study proposes to advertise in consideration of consumers' propensity of conspicuous consumption and impression management in marketing mobile gift products, especially for hedonic goods. Advertisements can appeal to consumers by using the desire to recognition or show off. Furthermore, further research can be conducted in consideration of other factors affecting gift behavior and expanding the age group.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.34 no.4
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• pp.222-228
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• 2023

There are two categories of online crimes related to children and adolescents: those committed by adolescents and those committed against children and adolescents. While recent trends in criminal law show consensus on strengthening punishment in cases of crimes against children and adolescents, there are mixed stances in cases of juvenile delinquency. One perspective emphasizes strict punishment, whereas the other emphasizes dispositions aligned with human rights. While various forms of online crime share the commonality in that the main part of the criminal act occurs online, they can be categorized into three types: those seeking financial gain, those driven by sexual motives, and those engaged in bullying. Among these, crimes driven by sexual motives are the most serious. Second-hand trading fraud and conditional (sexual) meeting fraud fall under the category of seeking financial gain and occur frequently. Crimes driven by sexual motives include obscenity via telecommunication, filming with discrete cameras, child and adolescent sexual exploitation material, fake video distribution, and blackmail/coercion using intimate images/videos ("sextortion"). These crimes lead to various legal issues such as whether to view vulgar acronyms or body cams that teenagers frequently use as simple subcultures or crimes, what criteria should be applied to judge whether a recorded material induces sexual desire or shame, and at what stage sexual grooming becomes punishable. For example, sniping posts, KakaoTalk prisons, and chat room explosions are tricky issues, as they may or may not be punished depending on the case. Particular caution should be exercised against the indiscriminate application of a strict punishment-oriented approach to the juvenile justice system, which is being discussed in relation to online sexual offenses. In the punishment case of online crime, juvenile offenders with a high potential for future improvement and reform must be treated with special consideration.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.227-252
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• 2018

The evolution of instant communication has mirrored the development of the Internet and messenger applications are among the most representative manifestations of instant communication technologies. In messenger applications, senders use emoticons to supplement the emotions conveyed in the text of their messages. The fact that communication via messenger applications is not face-to-face makes it difficult for senders to communicate their emotions to message recipients. Emoticons have long been used as symbols that indicate the moods of speakers. However, at present, emoticon-use is evolving into a means of conveying the psychological states of consumers who want to express individual characteristics and personality quirks while communicating their emotions to others. The fact that companies like KakaoTalk, Line, Apple, etc. have begun conducting emoticon business and sales of related content are expected to gradually increase testifies to the significance of this phenomenon. Nevertheless, despite the development of emoticons themselves and the growth of the emoticon market, no suitable emoticon recommendation system has yet been developed. Even KakaoTalk, a messenger application that commands more than 90% of domestic market share in South Korea, just grouped in to popularity, most recent, or brief category. This means consumers face the inconvenience of constantly scrolling around to locate the emoticons they want. The creation of an emoticon recommendation system would improve consumer convenience and satisfaction and increase the sales revenue of companies the sell emoticons. To recommend appropriate emoticons, it is necessary to quantify the emotions that the consumer sees and emotions. Such quantification will enable us to analyze the characteristics and emotions felt by consumers who used similar emoticons, which, in turn, will facilitate our emoticon recommendations for consumers. One way to quantify emoticons use is metadata-ization. Metadata-ization is a means of structuring or organizing unstructured and semi-structured data to extract meaning. By structuring unstructured emoticon data through metadata-ization, we can easily classify emoticons based on the emotions consumers want to express. To determine emoticons' precise emotions, we had to consider sub-detail expressions-not only the seven common emotional adjectives but also the metaphorical expressions that appear only in South Korean proved by previous studies related to emotion focusing on the emoticon's characteristics. We therefore collected the sub-detail expressions of emotion based on the "Shape", "Color" and "Adumbration". Moreover, to design a highly accurate recommendation system, we considered both emotion-technical indexes and emoticon-emotional indexes. We then identified 14 features of emoticon-technical indexes and selected 36 emotional adjectives. The 36 emotional adjectives consisted of contrasting adjectives, which we reduced to 18, and we measured the 18 emotional adjectives using 40 emoticon sets randomly selected from the top-ranked emoticons in the KakaoTalk shop. We surveyed 277 consumers in their mid-twenties who had experience purchasing emoticons; we recruited them online and asked them to evaluate five different emoticon sets. After data acquisition, we conducted a factor analysis of emoticon-emotional factors. We extracted four factors that we named "Comic", Softness", "Modernity" and "Transparency". We analyzed both the relationship between indexes and consumer attitude and the relationship between emoticon-technical indexes and emoticon-emotional factors. Through this process, we confirmed that the emoticon-technical indexes did not directly affect consumer attitudes but had a mediating effect on consumer attitudes through emoticon-emotional factors. The results of the analysis revealed the mechanism consumers use to evaluate emoticons; the results also showed that consumers' emoticon-technical indexes affected emoticon-emotional factors and that the emoticon-emotional factors affected consumer satisfaction. We therefore designed the emoticon recommendation system using only four emoticon-emotional factors; we created a recommendation method to calculate the Euclidean distance from each factors' emotion. In an attempt to increase the accuracy of the emoticon recommendation system, we compared the emotional patterns of selected emoticons with the recommended emoticons. The emotional patterns corresponded in principle. We verified the emoticon recommendation system by testing prediction accuracy; the predictions were 81.02% accurate in the first result, 76.64% accurate in the second, and 81.63% accurate in the third. This study developed a methodology that can be used in various fields academically and practically. We expect that the novel emoticon recommendation system we designed will increase emoticon sales for companies who conduct business in this domain and make consumer experiences more convenient. In addition, this study served as an important first step in the development of an intelligent emoticon recommendation system. The emotional factors proposed in this study could be collected in an emotional library that could serve as an emotion index for evaluation when new emoticons are released. Moreover, by combining the accumulated emotional library with company sales data, sales information, and consumer data, companies could develop hybrid recommendation systems that would bolster convenience for consumers and serve as intellectual assets that companies could strategically deploy.