• Korean Management Science Review
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• v.30 no.3
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• pp.33-54
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• 2013

The purpose of this study is to examine the relationships between Product Quality (Popularity, Playfulness) and Information Quality (Informativeness, Reliability), System Quality (Ease of Use, Security), Trust and Continuance Intention in Smart Phone Application Market. To identify these affecting relationships, the secondary data or past studies were collected and theoretically arranged. I made the theoretical proposed model to explain the relationships between the constructs, identify the operational definitions and 13 Hypotheses were established, there was executed the survey of 250 customers of Smart Phone Application Market. Using the collected data, previous performances to confirm the construct validity and internal consistency by Cronbach's a was executed and Partial Least Square Analysis to confirm the hypotheses in proposed model was conducted using the Smart-PLS Software. As the result of test that make the relations of used variables clear, we can get the conclusion as followings; First, Product Popularity has the positive effect on Informativeness, except reliability of Information. Second, it was significantly tested the effect on the Ease of use and Security by Product Playfulness. Third, Informativeness and Ease of Use, Security of App Store have the significantly positive effects on the Users' Trust directly. From the empirical test, I suggest the strategic advices in App Store Companies. To increase the Users' Continuance Intention or Loyalty, it would be developed that a variety of methods and ways to raise the Product Popularity and Playfulness, Informativeness, Ease of Use and Security of App Store. It is necessary for sticking the Users to raise the positive trust building and Continuance Intention.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.645-654
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• 2017

The purpose of this study is to compare the types and capabilities of smartphone apps related to tea, coffee, wine and beer. As a result of examining the capabilities of 200 tea, coffee, wine and beer apps from Apple App Store, 17 types of capabilities were identified. The study found no significant difference in the capabilities of tea and coffee apps, but there was a significant difference in the capabilities of tea and wine apps, and tea and beer apps (p<0.01). Entertainment-oriented apps take up a higher proportion of tea-related apps while wine apps, provide a higher proportion of consumer usability-oriented apps such as finding information about wine, writing notes about wine characteristics, finding nearby shops/cafes. In order to increase practical use of tea-related apps, this study proposes capabilities of coffee, wine, and beer apps as examples and presents app menu to promote development of tea-related apps.

• Smart Media Journal
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• v.12 no.6
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• pp.27-34
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• 2023

As Netflix usage has increased due to the COVID-19 pandemic, users' experiences with the service have also increased. Therefore, this study aims to conduct topic modeling analysis based on Netflix review data to explore the changes in Netflix user experience and service before and after the COVID-19 pandemic. We collected Netflix app review data from the Google Play Store using the Google Play Scraper library, and used topic modeling to examine keyword differences between app reviews before and after the pandemic. The analysis revealed four main topics: Netflix app features, Netflix content, Netflix service usage, and Netflix overall reviews. After the pandemic, when user experience increased, users tended to use more diverse and detailed keywords in their reviews. By using Netflix review data to analyze users' opinions, this study shows the changes in user experience of Netflix services before and after the pandemic, which can be used as a guide to strengthen competitiveness in the competitive OTT market.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.259-266
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• 2023

In this paper, we propose an algorithm that can improve the accuracy performance of collaborative filtering using attribute-based opinion mining (ABOM). For the experiment, a total of 1,227 online consumer review data about smartphone apps from domestic smartphone users were used for analysis. After morpheme analysis using the KKMA (Kkokkoma) analyzer and emotional word analysis using KOSAC, attribute extraction is performed using LDA topic modeling, and the topic modeling results for each weighted review are used to add up the ratings of collaborative filtering and the sentiment score. MAE, MAPE, and RMSE, which are statistical model performance evaluations that calculate the average accuracy error, were used. Through experiments, we predicted the accuracy of online customers' app ratings (APP_Score) by combining traditional collaborative filtering among the recommendation algorithms and the attribute-based opinion mining (ABOM) technique, which combines LDA attribute extraction and sentiment analysis. As a result of the analysis, it was found that the prediction accuracy of ratings using attribute-based opinion mining CF was better than that of ratings implementing traditional collaborative filtering.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.77-86
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• 2017

This study selected car-related mobile apps for app developers suffering from low revenue and classified car apps assisting users in driving or managing a car. A total of 697 car apps were classified into eight categories. Most apps are in four categories: car news & information (28%), locating service (23%), car rental service (15%), safe/efficient driving service (12%). The remaining categories are buying & selling, driver's communication, maintenance management, and expenses monitoring. Many apps are simple and too similar in their main functions. Only a few apps are designed to be more comprehensive and have functions in two or more categories. For the practicality of the categorization scheme, this study checked the inter-rater reliability in two tests and got 0.886 and 0.828. The result from this study suggests functions that are not implemented yet or need to be combined. Future research will focus on identifying promising car apps or designing multi-functional car apps.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.268-270
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• 2012

IAP (In App Purchase) 컨텐츠는 스마트 기기의 앱 내부에서 진행되는 컨텐츠 구매로 최근 앱 스토어의 주요 수입원으로 떠오르고 있다. 많은 앱 개발사들이 사용자들이 쉽게 앱을 접할 수 있도록 앱 자체는 무료로 판매하고 주요한 기능이나 추가적인 기능을 IAP를 통해서만 구입하여 사용할 수 있도록 유도하고 있다. 이런 방식을 통해 사용자가 불법으로 앱을 다운로드 하더라도 추가적인 기능이나 컨텐츠를 이용하기 위해서는 IAP를 사용하여 대가를 지불하도록 유도하는 것이다. 그러나 앱 자체가 클라이언트 기능만을 수행하는 경우는 문제가 없지만 full-time으로 서버와 동기화를 해가며 동작하는 방식이 아닌 앱의 경우 IAP를 불법적으로 해킹하여 취득하는 것이 가능하다. 본 논문에서는 이러한 불법적인 IAP 컨텐츠 획득을 방지하기 위하여 full-time으로 서버와 동기화를 하지 않으면서도 IAP 컨텐츠를 보호하기 위한 메커니즘을 제안한다.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.223-234
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• 2010

This study is aimed at proposing a new research model in which application store intention to acceptance influence factors (i.e.. facilitating condition, mobile computing self-efficacy, service compatibility, and system quality) affect TAM (i.e., perceived usefulness and perceived ease of use) positively, leading to application store intention to acceptance eventually. This study developed a research model to explain the use of Apple's App Store, and collected 228 survey responses from the undergraduate students who had experiences with such application store services as game and personal information management application download. To prove the validity of the proposed research model, PLS analysis is applied with valid 228 questionnaires. By employing PLS technique, the measurement reliability and validity of research variables are tested and the path analysis is conducted to do the hypothesis testing. In brief, the finding of this study suggests that application store intention to acceptance influence factors affect TAM positively, and application store intention to acceptance as well.

• Journal of Industrial Technology
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• v.30 no.B
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• pp.41-47
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• 2010

Recently, the introduction of iPhone forced Korea to open its mobile market worldwide. The success of iPhone s open and cooperative code and the transition to the software-oriented paradigm also forces Korean mobile industry to greatly change according to the new trend for mobile market. Therefore, in this paper, to cope with such challenges, we investigate the effect of iPhone and then estimate its future prospect. Specifically, we focus on the effect on domestic mobile market, domestic software industry and individual's mobile life.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.292-294
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• 2012

최근 모바일과 테블릿 등의 휴대용 디바이스들 활성화로 인해서 어플리케이션의 종류가 확대되고 누구나 어플리케이션 개발에 쉽게 어플리케이션 제작을 할 수 있어짐에 따라서 개발 조직의 소규모와 개인 개발자들의 활동이 늘어가고 있다. 하지만 현재 앱에 관련된 소프트웨어의 개발 방법론은 많지 않다. 그래서 이 논문에서는 1)소프트웨어의 보안개발주기의 최소화를 통해 개발자들에게는 보안가이드 라인을 제공하고 2)소규모의 개발자들이 주어진 보안개발 방법론을 따라 품질과 보안성을 향상하고 3)정부나 앱스토어의 검증성을 높여서 고객이 신뢰하고 검증된 모바일 어플리케이션을 사용할 수 있게 하는 것이다.

• Annual Conference of KIPS
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• 2011.11a
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• pp.1327-1329
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• 2011

모바일 단말기는 단순한 통화위주의 기기에서 애플리케이션을 실행하는 스마트폰으로 변화하고 있으며, 가입자도 1000 만명을 넘어섰다. 기존의 모바일 단말기가 제조사의 단말기에 탑재한 어플리케이션만을 사용하는 것과는 다르게, 스마트폰에서는 다양한 앱을 사용할 수 있다. 2011 년 애플사가 발표한 iOS 용 앱은 이미 425,000 개 이상이다. 하지만 앱스토어들마다 자체적으로 정의한 리뷰지침이 있지만 일반적으로 적용할 수 있는 품질특성이 정의되지는 않았다. 본 논문에서는 소프트웨어 품질 관련 표준에 기반한 품질특성과 평가항목을 도출한다.