• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 춘계학술대회
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• pp.304-307
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• 2015

Virtualization lacks capabilities for enabling the application to scale efficiently because of new applications components which are raised to be configured on demand. In this paper, we propose an architecture that affords mobile app based on nomadic smartphone using not only mobile cloud computing-cloudlet architecture but also a dedicated platform that relies on using virtual private mobile networks to provide reliable connectivity through Long Term Evolution (LTE) wireless communication. The design architecture lies with how the cloudlet host discovers service and sends out the cloudlet IP and port while locating the user mobile device. We demonstrate the effectiveness of the proposed architecture by implementing an android application responsible of real time analysis by using a vehicle to applications smart phones interface approach that considers the smartphones to act as a remote users which passes driver inputs and delivers outputs from external applications.

• 한국인터넷방송통신학회논문지
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• 제13권6호
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• pp.249-254
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• 2013

본 논문은 모바일 기기를 통해 건강에 중요한 부분인 안구 운동을 유도하고 이를 통해 안구 근육을 강화하여 시력을 튼튼히 유지시킬 수 있는 안구 운동 유도 기능의 프로그램을 개발하고 이를 스마트 폰의 앱의 형태로 구성하여 사용자가 쉽게 안구운동을 시행할 수 있도록 구현 하였다. 안구운동을 통해 시력이 강화되는지에 대한 기존의 연구결과를 참고하였으며 특히 안구운동에 대한 구체적인 운동패턴을 본 논문에 적용하여 구현하였다. 구현 방법은 기존 웹개발 언어인 HTML과 CSS를 통해 화면을 구성하고 기능을 구현하기 위해 javascript 언어를 사용하여 해당기능들을 함수로 작성하였다. 웹프로그램을 앱으로 변환하는 툴은 앱스프레소를 이용하였다.

• 한국IT서비스학회지
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• 제15권2호
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• pp.169-184
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• 2016

Smartphone use is rapidly spreading due to the advantage of being able to connect to the Internet anytime, anywhere--and mobile app development is developing accordingly. The characteristic of the mobile app market is the ability to launch one's app into foreign markets with ease as long as the platform is the same. However, a large amount of prior research asserts that consumers behave differently depending on their culture and, from this perspective, various studies comparing the differences between consumer behaviors in different countries exist. Accordingly, this research, which uses online product reviews (OPRs) in order to analyze the cultural differences in consumer behavior comparatively by nationality, proposes to compare the U.S. and South Korea by selecting ten apps which were released in both countries in order to perform a sentimental analysis on the basis of star ratings and, based on those ratings, to interpret the sentiments in reviews. This research was carried out to determine whether, on the basis of ratings analysis, analysis of review contents for sentiment differences, analysis of LDA topic modeling, and co-occurrence analysis, actual differences in online reviews in South Korea and the U.S. exist due to cultural differences. The results confirm that the sentiments of reviews for both countries appear to be more negative than those of star ratings. Furthermore, while no great differences in high-raking review topics between the U.S. and South Korea were revealed through topic modeling and co-occurrence analyses, numerous differences in sentiment appeared-confirming that Koreans evaluated the mobile apps' specialized functions, while Americans evaluated the mobile apps in their entirety. This research reveals that differences in sentiments regarding mobile app reviews due to cultural differences between Koreans and Americans can be seen through sentiment analysis and topic modeling, and, through co-occurrence analysis, that they were able to examine trends in review-writing for each country.

• Journal of Korea Trade
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• 제27권1호
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• pp.192-210
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• 2023

Purpose - Vietnam has the fastest growing digital economy in Southeast Asia and is emerging as a critical overseas market for Korean banks in the post-COVID-19 era. Accordingly, many Korean banks entered the Vietnamese market to overcome the limitations of the saturated domestic financial market and create new revenue sources. This study examined the current status of digital finance in Vietnam and the cases of Korean banks that have succeeded in the Vietnamese market. Then, importance-performance analysis (IPA) was conducted on local customers, managers and staff members of Korean banks in Vietnam. Design/methodology - In this study, we analyzed the importance and satisfaction factors of mobile banking app usage in Vietnam through IPA. In particular, we identified the differences between the two groups by considering the viewpoint of customers who use mobile banking apps and that of managers and staff members who provide mobile banking services. Findings - The IPA results from the customer group and managers and staff members group were generally similar, but differences were observed in Ease of Use (Technology), Innovativeness (Organization), and Increase in Revenue (Economic). In the case of the customer group, Ease of Use (Technology) is located in the second quadrant, which shows low satisfaction compared to high importance. However, in the managers and staff members group, Ease of Use (Technology) is located in the first quadrant, which indicates high importance and high satisfaction. This difference in perception can cause complaints from local customers; thus, it is necessary to change the perception of the technological aspect for ease of use of mobile banking apps in consideration of the customer's position. In addition, it is necessary to allocate the resources invested in the Innovativeness (Organization) and Increase in Revenue (Economic) to Ease of Use (Technology). Originality/value - In this study, based on the HOTE framework, factors for using mobile banking apps were derived, and IPA was conducted targeting local customers (app user) and managers and staff members (app provider) of Korean banks in Vietnam. Through this, we presented the results of empirical analysis that can help Korean banks efficiently utilize limited resources and budgets.

• 산경연구논집
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• 제10권9호
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• pp.45-52
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• 2019

Purpose - This study examined the relationship between the priorities of information, usability, mobility, reliability and empathy, which are the lower dimensions of mobile tourism app service characteristics, on the perceived value and satisfaction of tourists. Research design, data, methodology - Data collection was conducted from June 10, 2019 to June 20, 2019, and a total of 500 questionnaires were distributed to collect 352 copies. Factor analysis, reliability verification, and covariance structure analysis were carried out using SPSS 23.0 and AMOS 23.0 for 321 parts for statistical analysis. Results - First, information, mobility, reliability, and empathy have a significant effect on perceived value. However, usefulness did not appear to have a significant effect on perceived value. This analysis results can increase the reliability of the tourism app, it can be seen that the accurate tourist information services are used in the tourist app or in the place required. Second, information, usability, mobility, and empathy had a significant effect on satisfaction. However, reliability did not have a significant effect on satisfaction. Third, perceived value had a significant effect on satisfaction. Fourth, it had a significant effect on information, empathy, and intention to use. However, the usefulness, mobility, and reliability did not have a significant effect on the behavioral intention. Lastly, perceived value and satisfaction had a significant effect on behavioral intention. Conclusions - The analysis result is that the tourism app that is being used is provided with a reliable and accurate tourism information service, it can be seen that you are using the tourism app in the place or on the go. Therefore, it is relatively difficult to use the tourism app, and it is easy to understand the contents of the service and timely information. Therefore, it is possible to communicate with other users and provide customized services according to needs and desires. The study has the following limitations. This may influence the progress of the research because the respondents' responses to the mobile tourism app service are from different experiences. In addition the accuracy of providing accurate information, the usefulness of using the mobile tourism app, and the ease of communicating with other users can be understood as being relatively satisfactory.

• 디지털산업정보학회논문지
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• 제16권1호
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• pp.41-54
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• 2020

In this paper, it will study various problems such as personal information infringement from when using various useful Apps in the Smartphone environment. It also researched the vulnerabilities Mobile Apps and the risks of personal information leakage when using Smartphone information to decrease threat and find solution. In the second chapter, it will check the existing Mobile App related Apps. In the third chapter, it will check the threats and major factors that caused by the leakage of personal information which related to the app. Then it will suggest solution and end with conclusion. This paper also looked at various problems that caused by illegal adverse effect from illegal personal information collection. Then it researched and made suggestion to make consideration on safety of personal information and privacy infringement that threat to personal information For safety of mobile banking, it proposed a safety method to separate and manage the code which has the core logic which required to run the App. For safety of direction App, when running the direction App, even if the information is collected, location information for unauthorized accessed will encrypt and store in DB, so that access to personal information is difficult. For delivery App environment, by using the national deliver order call center's representative phone to receive a telephone order then, the customer information is delivered to the branch office when it receive order and it will automatically delete information from the server when the delivery is completed by improving DB server of order. For the smart work app environment, the security solution operates automatically by separating and make independent private and work areas. Then it will suggest initialization for company's confidential business information and personal information to safe from danger even if loss.

• Journal of Information Technology Applications and Management
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• 제24권3호
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• pp.63-72
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• 2017

The purpose of this study is to investigate the relationship between application attractiveness and loyalty to mobile music applications. The application attractiveness is operationalized into four dimensions: richness of music contents, music app design quality, music app functionality, and promotion. The hypotheses are postulated and tested using a sample of 370 student respondents from Henan Polytechnic University and Henan Institute of Technology, China. The result shows that there is a positive correlation between loyalty and three application attractiveness aspects: richness of music contents, music app design quality and music app functionality. Based on the results of this study, the research put forward constructive suggestions about improving mobile music application loyalty. Finally, several conclusions, managerial suggestions, limitations and future research are proposed.

• 한국전자거래학회지
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• 제26권3호
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• pp.55-66
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• 2021

전 세계적으로 모바일 애플리케이션 (APP) 시장의 급성장 속에서 글로벌 플랫폼 사업자들은 30%의 플랫폼 결제수수료뿐만 아니라 인앱 결제를 강제하면서 콘텐츠 제공업체들과 갈등이 커지고 있는 상황이다. 본 연구의 목적은 콘텐츠 산업 창업 분야에서 중요한 비중을 차지하고 있는 국내 모바일 게임 시장 및 인앱 결제 수수료의 적정성을 분석하고자 한다. 본 논문에서는 상장 게임회사의 재무제표 공시자료를 직접 이용하여 국내 모바일 게임시장 및 이에 따른 플랫폼 수수료 시장 규모를 추정하였으며, 관련 게임업체들의 공시 매출 및 원가정보를 이용하여 인앱 결제 수수료가 원가 구조에 미치는 영향을 분석하고, 이것이 모바일 게임 시장의 동태적 효율성이나 생태계의 지속가능성에 미치는 함의를 도출하였다. 분석 결과, 2019년 국내 모바일 게임 시장 규모는 49,230억 원이며, 인앱 결제 수수료 규모는 14,761억 원이다. 시장점유율 상위 모바일 게임회사의 경우, 매출 중 모바일 게임 매출 비중이 높을수록 영업비용 중 인앱 결제 수수료가 차지하는 비중이 높아지며, 종업원 급여나 연구개발비와 같은 필수 비용 요소를 크게 상회하는 수준으로 지출된다. 하위 모바일 게임회사 상당수의 영업이익은 매출 대비 미미한 수준이거나 적자인 것을 알 수 있는데, 이는 인앱 결제 수수료가 매우 큰 부분을 차지하기 때문이다. 모바일 게임 생태계를 구성하는 기업들은 대부분 중소게임업체들이다. 이들의 평균(중앙치)에 해당하는 가상 기업은 2019년 기준으로 매출 5.3억 원을 올리고 있으며, 종업원 4.3명에 대한 종업원 급여 1.9억 원, 연구개발비 0.5억 원, 인앱 결제 수수료 1.6억 원을 비용으로 지출하고 있는 것으로 추정된다. 다른 비용 항목을 고려하지 않더라도 상기한 세 가지 비용만으로도 매출의 73.8%를 차지하는 원가 구조를 가지고 있으며, 인앱 결제 수수료가 모바일 생태계의 지속가능성에 큰 영향을 미치고 있음을 알 수 있다.

• 한국IT서비스학회지
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• 제14권3호
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• pp.1-18
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• 2015

Recent trends of mobile convergence has already brought about many changes in our digitally-powered society. Especially, taking advantage of strengths of existing mobile devices and smart phones have already been established as a primary standard in the business intelligence world. Such high-powered digital devices equipped with mobile convergence functions are getting more momentum as app stores are prevailing. Basically, the app stores are administered by smart phone manufacturers, creating a new business ecosystem among app developers and end-users. However, there are paucity of studies tackling an issue about how users' repurchase intention of the apps is influenced by the service qualities of the app stores. In this respect, this study aims to investigate the effect of app store service quality on users' satisfaction and repurchase intention. As the value of loyal customers is incomparably high in app commerce, winning customers' loyalty is vital to the success of app stores. In this study, a customer is defined as one who has purchased goods or services at least once from the app stores. The proposed research model includes a number of constructs such as app perceptions, customer service, perceived ease of use, design, promotion, perceived consumer risk and connectivity. Empirical results revealed that perceived consumer risk has a negative relationship with consumer's perceived repurchase intention. All the other variables-app perceptions, customer service, perceived ease of use, design, promotion, connectivity- are found to be positively related with the repurchase intentions.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.455-457
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• 2021

앱(App) 또는 어플리케이션이라고 부르는 응용 프로그램은 스마트폰이나 스마트TV와 같은 스마트 기기에서 사용되고 있다. 당연하게도 앱에도 악성코드가 있는데, 악성코드의 유무에 따라 정상앱과 악성앱으로 나눌 수 있다. 악성코드는 많고 종류가 다양하기 때문에 사람이 직접 탐지하기 어렵다는 단점이 있어 AI를 활용하여 악성앱을 탐지하는 방안을 제안한다. 기존 방법에서는 악성앱에서 Feature를 추출하여 악성앱을 탐지하는 방법이 대부분이었다. 하지만 종류와 수가 기하급수적으로 늘어 일일이 탐지할 수도 없는 상황이다. 따라서 기존 대부분의 악성앱에서 Feature을 추출하여 악성앱을 탐지하는 방안 외에 두 가지를 더 제안하려 한다. 첫 번째 방안은 기존 악성앱 학습을 하여 악성앱을 탐지하는 방법과 는 반대로 정상앱을 공부하여 Feature를 추출하여 학습한 후 정상에서 거리가 먼, 다시 말해 비정상(악성앱)을 찾는 것이다. 두 번째 제안하는 방안은 기존 방안과 첫 번째로 제안한 방안을 결합한 '앙상블 기법'이다. 이 두 기법은 향후 앱 환경에서 활용될 수 있도록 연구를 진행할 필요가 있다.