• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.1
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• pp.183-196
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• 2015

With widespread use of smart phones, SNS has been growing rapidly. Companies are required to do its utilization and a preemptive response. However, taking advantage of SNS is still insignificant in the companies. Compared with traditional marketing, people still consider the SNS marketing unfamiliar. This study is aimed at widening the breadth of understanding of marketing activity using SNS and inquiring into its effective applications. In an effort to achieve this research objective, first, this study analyzed the aspect of real applications by reviewing diverse practical business cases. Second, this study provided the momentum of the understanding of SNS marketing-based knowledge. The effective method of producing consumer-intimate products and services lies in customers' participation in development and production. SNS marketing is the very communication and gives ear to a customer's voice. Earnest and creative SNS marketing will play a role as a stepping-stone for businesses to move much closer to a customer.

• Journal of Service Research and Studies
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• v.2 no.1
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• pp.61-68
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• 2012

Much technologies building cloud computing environment and supporting sevices on the cloud computing have been developing. Through the environment, accessing new services and sharing knowledge become easy. So far, they have just focused on companies which can support services and people who can use those services. In other words, the environment and models for cloud computing are the most important issue. However, the environment changes rapidly, mobile devices that are connected with each other not only will replace the computing environment based on desktop, but also can create Big data. Therefore, technologies and models are need to follow the trend including mobile based cloud computing environment. In this paper, we explain the cloud computing technologies and trend. Also we address Machine to Machine(M2M) technology and Web of things(WoT) in order to apply those into the cloud computing environment because these two concepts will enhance effectiveness and service reusability in the coming days.

• Journal of Preventive Medicine and Public Health
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• v.11 no.1
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• pp.86-97
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• 1978

The mobile medical service has been operated for many years by a number of medical schools and hospitals as a most convenient means of medical service delivery to the people residing in such area where the geographical and socioeconomic conditions are not good enough to enjoy modern medical care. Despite of official appraisal showing off simply with numbers of outpatients treated and medical persons participated, however, as well recognized, the capability (in respect of budget, equipment and time) of those mobile medical teams is so limitted that it often discourages the recipients as well as medical participants themselves. In the midst of rising need to secure medical service of good quality to all parts of the country, and of developing concept of primary health care system, authors evaluated the effectiveness of and problems associated with mobile medical servies program through the community diagnosis of a village (Opo-myun, Kwangju-gun) to obtain the information which may be halpful for future improvement. 1. Owing to the nationwide Sae-Maul movement powerfully practiced during last several years, living environment of farm villages generally and remarkably improved including houses, water supply and wastes disposal etc. Neverthless, due to limitations in budget time and lack of knowledge (probably the most important), these improvements tend to keep up appearances only and are far from the goal which may being practical benefit in promoting the health of the community. 2. As a result of intensive population policy led by the government since 1962, there has been considerable advances in understanding and the rate of practicing family planning through out the villages and yet, one should see many things, especially education, to be done. Fifty eight per cent of mothers have not received prenatal check and the care for most (72%) delivery was offered by laymen at home. 3. Approximately seven per cent of the population was reported to have chronic illness but since only a few (practically none) of the people has had physical check up by doctors, the actual prevalence of chronic diseases may reach many times of the reported. The same fact was observed also in prevalence of tuberculosis; the patients registered at local health center totaled 31 comprising only 0.51% while the numbers in two neighboring villages (designated as demonstration area of tuberculosis control and mass examination was done recently) were 3.5 and 4.0% respectively. Prevalence rate of all dieseses and injuries expereinced during one month (July, 1977) was 15.8%. Only one tenth of those patients received treatment by physicians and one fifth was not treated at all. The situation was worse as for the chronic patients; 84% of all cases either have never been treated or discontinued therapy, and the main reasons were known to be financial difficulty and ignorance or indifference. 4. Among the patients treated by our mobile clinic, one third was chronic cases and 45% of all patients, by the opinion of doctors attended, were those who may be treated by specially trained nurses or other paramedics (objects of primary care). Besides, 20% of the cases required professional managements of level beyond the mobile team's capability and in this sense one may conclude that the effectiveness (performance) of present mobile medical team is quite limitted. According to above findings, the authors would like to suggest following for mobile medical service and overall medicare program for the people living in remote country side. 1. Establishment of primary health care system secured with effective communication and evacuation (between villages and local medical center) measures. 2. Nationwide enforcement of medical insurance system. 3. Simple outpatient care which now constitutes the main part of the most mobile medical services should largely be yielded up to primary health care unit of the village and the mobile team itself should be assigned on new and more urgent missions such as mass screening health examination of the villagers, health education with modern and effective audiovisual aids, professional training and consultant services for the primary health care organization.

• The Journal of Society for e-Business Studies
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• v.22 no.1
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• pp.89-106
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• 2017

In advanced mobile devices environment, the market share of mobile application has been increased. Among various mobile services, Location-based Service (LBS) is an important feature to increase user motivation related to purchase intention on mobile. However, individual privacy has also increased as an important problem for invasion of privacy and information leakage while too many LBS based applications (App) rapidly launched in the App market. In this study, we focused on perceived values of LBS App users who use Apps related to recommending best restaurants in China and South Korea. The purpose of this study is to identify important factors for perceived value when users provide personal information for LBS service provider. The result of this study is follows: perceived value can increase while LBS customers can more control self-information and information useability. Also information ability of users affected perceived values for LBS Apps. Also users' app user ability and perceived value were effects on privacy revenue. In addtion, perceived weakness of users and perceived value increased privacy threat.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.179-186
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• 2021

We have been developed the smart tourism app and the Instagram and YouTube contents to provide personalized tourism information and travel product information to individual tourists. In this paper, we develop a rule-based smart tourism chatbot with the khaiii (Kakao Hangul Analyzer III) morphological analyzer and Neo4J graph database. In the proposed chatbot system, we use a morpheme analyzer, a proper noun dictionary including tourist destination names, and a general noun dictionary including containing frequently used words in tourist information search to understand the intention of the user's question. The tourism knowledge base built using the Neo4J graph database provides adequate answers to tourists' questions. In this paper, the nodes of Neo4J are Area based on tourist destination address, Contents with property of tourist information, and Service including service attribute data frequently used for search. A Neo4J query is created based on the result of analyzing the intention of a tourist's question with the property of nodes and relationships in Neo4J database. An answer to the question is made by searching in the tourism knowledge base. In this paper, we create the tourism knowledge base using more than 1300 Jeju tourism information used in the smart tourism app. We plan to develop a multilingual smart tour chatbot using the named entity recognition (NER), intention classification using conditional random field(CRF), and transfer learning using the pretrained language models.

• Knowledge Management Research
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• v.23 no.2
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• pp.143-168
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• 2022

Using Herzberg's motive hygiene theory, this study also investigated the influence of motivation factors and hygiene factors on acceptance and resistance of mobile facial recognition payment services, and the influence of consumer innovation as a parameter on acceptance and resistance from motivation factors and hygiene factors. A survey was conducted on Chinese users who had experience using mobile payment services. IBM SPSS Statistics 26 and SmartPLS 3.0 were used for statistical analysis. As a result of the analysis, the motivating factors of mobile facial recognition payment services have a positive (+) impact on acceptance, and there were no significant results on resistance. In addition, hygiene factors have been shown to have negative (-) effects on acceptance and positive (+) effects on resistance. Consumer innovation, which is a parameter in relation to motivation factors and acceptance and resistance, had a partial mediation effect, and a partial mediation effect was also seen in the relationship between hygiene factors and resistance, but no mediation effect was found in the relationship between hygiene factors and acceptance. The motivating factors found through research results such as rapidity, ubiquity, perceived usability, perceived ease of use, privacy concerns, security, status quo inertia, use barriers, and loss avoidance, which are factors of non-contact and hygiene, can be used as basic data for activating mobile facial recognition payment services.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.1
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• pp.31-36
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• 2019

A chatbot is an important area of mobile service, which understands informal data of a user as a conversational form and provides a customized service information for user. However, there is still a lack of a service way to fully understand the user's natural language typed query dialogue. Therefore, in this paper, we extract meaningful words, such a region, a food category, and a restaurant name from user's dialogue sentences for recommending a restaurant. and by comparing the extracted words against the contents of the knowledge database that is built from the hashtag for recommending a restaurant in SNS, and provides user target information having statistically much the word-similarity. In order to evaluate the performance of the restaurant recommendation chatbot system implemented in this paper, we measured the accessibility of various user query information by constructing a web-based mobile environment. As a results by comparing a previous similar system, our chabot is reduced by 37.2% and 73.3% with respect to the touch-count and the cutaway-count respectively.

• The KIPS Transactions:PartA
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• v.11A no.4
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• pp.285-296
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• 2004

The rapid progress of IT technologies promoted the foundation to offer users 'Any Time, Any Where, Any Service', and wireless internet services made it possible to use wired internet services while traveling. The previous academic administration management system having migrated from wired to wireless was dependent on mobile equipments' platform because of not being constructed on standard surroundings. And in the aspect of faculty system, course coordinator plays an significant role in building curricula and manage them, and finally counseling students with regard to them. But the course coordinator can't afford to advise students on which fields of their faculty fit them and which courses they have to take. We propose a mobile course coordinator system to help students learn profound courses of their major fields. Also the proposed system is implemented by using JAVA and WIPI technology, so that it is platform-independent. A mobile course coordinator system has an inference engine considering not only course trees which tell informations about the courses in every fields, but also personal courses that students have taken. The inference engine calculates three weights, representing the significance of each course considering every fields, the score of prerequisite courses which a student have taken, and the suitability in which department each student fits. When students apply for taking lectures, a mobile course coordinator system recommends them the most suitable courses. A mobile course coordinator system is able to substitute for the course coordinator who is counseling students. And the students with personal cellular phone are able to keep tracking their courses, and improve their knowledge about major with taking courses which the system's inference engine will advice.

• Journal of Information Science Theory and Practice
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• v.6 no.2
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• pp.46-61
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• 2018

The mobile social networking application Instagram is a well-known platform for sharing photos and videos. Since it is folksonomy-oriented, it provides the possibility for image indexing and knowledge representation through the assignment of hashtags to posted content. The purpose of this study is to analyze how Instagram users tag their pictures regarding different kinds of picture and hashtag categories. For such a content analysis, a distinction is made between Food, Pets, Selfies, Friends, Activity, Art, Fashion, Quotes (captioned photos), Landscape, and Architecture image categories as well as Content-relatedness (ofness, aboutness, and iconology), Emotiveness, Isness, Performativeness, Fakeness, "Insta"-Tags, and Sentences as hashtag categories. Altogether, 14,649 hashtags of 1,000 Instagram images were intellectually analyzed (100 pictures for each image category). Research questions are stated as follows: RQ1: Are there any differences in relative frequencies of hashtags in the picture categories? On average the number of hashtags per picture is 15. Lowest average values received the categories Selfie (average 10.9 tags per picture) and Friends (average 11.7 tags per picture); for highest, the categories Pet (average 18.6 tags), Fashion (average 17.6 tags), and Landscape (average 16.8 tags). RQ2: Given a picture category, what is the distribution of hashtag categories; and given a hashtag category, what is the distribution of picture categories? 60.20% of all hashtags were classified into the category Content-relatedness. Categories Emotiveness (about 4.38%) and Sentences (0.99%) were less often frequent. RQ3: Is there any association between image categories and hashtag categories? A statistically significant association between hashtag categories and image categories on Instagram exists, as a chi-square test of independence shows. This study enables a first broad overview on the tagging behavior of Instagram users and is not limited to a specific hashtag or picture motive, like previous studies.

• Journal of Korea Game Society
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• v.18 no.4
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• pp.43-52
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• 2018

This study was developed as a mobile serious game app (Roly Poly 160 App) based on a prototype model and then used in a public health center for diabetes patients. The mobile serious game application upgraded the mobile version of Roly Poly 160, which is a content for diabetes self-management of the existing PC version, by requesting to charge service of G city. The study period was from February 19, 2018 to May 11, 2018, and users were allowed to access the Roly Poly 160 app at least once a day for a total of 8 to 12 weeks after the preliminary investigation. As a result, HbA1C was significantly decreased(p=0.04), and diabetic knowledge was significantly higher than that before the follow-up(p=0.01). After applying Roly Poly 160 App, Satisfaction score was 3.74 out of 5 points