• ETRI Journal
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• v.43 no.1
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• pp.95-108
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• 2021

Application (app) ratings are feedback provided voluntarily by users and serve as important evaluation criteria for apps. However, these ratings can often be biased owing to insufficient or missing votes. Additionally, significant differences have been observed between numeric ratings and user reviews. This study aims to predict the numeric ratings of Google apps using machine learning classifiers. It exploits numeric app ratings provided by users as training data and returns authentic mobile app ratings by analyzing user reviews. An ensemble learning model is proposed for this purpose that considers term frequency/inverse document frequency (TF/IDF) features. Three TF/IDF features, including unigrams, bigrams, and trigrams, were used. The dataset was scraped from the Google Play store, extracting data from 14 different app categories. Biased and unbiased user ratings were discriminated using TextBlob analysis to formulate the ground truth, from which the classifier prediction accuracy was then evaluated. The results demonstrate the high potential for machine learning-based classifiers to predict authentic numeric ratings based on actual user reviews.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.1
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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 Venture Innovation
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• v.6 no.4
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• pp.23-40
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• 2023

This study examines the customer value factors affecting the intention to continue using the mobile app of department stores, which are traditional offline retailers, in the retail industry that is rapidly digitalizing and becoming mobile. This study clarifies multidimensional customer value in three dimensions; functional, convenience, and social. Functional value refers to the integrated channel, and consistent customer experience provided between channels in the omnichannel retail environment, while convenience value is the convenience of saving time and effort save while customers use a mobile app. Social value refers to the improvement of social approval or social self-concept occurring due to the use of products or services related to green marketing within the mobile app of the department store. The influence of each on the dependent variable, the mobile app's continuous use intention, was analyzed by using the three dimensions of customer value as independent variables. Data was collected from customers who have a history of using the mobile app of Shinsegae Department Store in Korea, and a confirmatory analysis was conducted using Smart PLS 4.0. The analysis results showed that all three dimensions of customer value; functional value, convenience value, and social value, had a positive (+) influence on customers' intention to continue using the mobile app, and the influence of functional value had the greatest impact. As functional value appears to be the most important influencing factor due to the omnichannel retail trend by advancement of technology, it suggests that it is important for department stores, and offline retailers, to provide integrated channels. This provides insights into the direction of customer-centered strategy formulation for activating department store mobile apps and suggests basic analytical data for customized services and marketing activities that department stores can effectively meet the changing expectations and demands of customers through new mobile channels rather than existing offline channels.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.06a
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• pp.171-172
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• 2013

기존의 종이책은 다양한 스마트 모바일기기의 활발한 보급으로 인해 전용 단말기와 뷰어 앱(Veiwer App)을 통해 전자책(e-book)으로 서비스되고 있다. 최근에는 텍스트(Text) 중심의 전자책과 달리, 텍스트와 함께 동영상, 다양한 상호작용 요소를 중심으로 하는 앱북(App book)의 형태로 진화되고 있다. 아이패드(iPad)용 앱스토어(App Store)에서는 도서 관련 앱이 28%를 차지할 정도로 앱북 시장이 빠르게 성장함에도 불구하고, 여러 가지 전자책 전용 단말기, 뷰어 앱 UI(User Interface) 관련 연구들에 비해 앱북의 콘텐츠 및 UI에 대한 연구가 상대적으로 부족한 상황이다. 이에, 본 논문에서는 앱북 콘텐츠의 표시 방법에 따라 3개의 유형으로 분류하고, 대표 앱북을 선정하여, 콘텐츠의 객체 표시방법에 대해 분석하고, 상호작용 요소들을 분석하였다. 이를 통해, 객체 별 상호작용 요소를 고려한 전자잡지형 앱북의 콘텐츠 표시 방법 프레임워크를 설계하였다.

• The Journal of Industrial Distribution & Business
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• v.11 no.7
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• pp.51-60
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• 2020

Purpose: Recently, Korean cosmetics distribution market has been reorganized with the H&B store. In the domestic cosmetics distribution market, existing brand road shops are decreasing, and multi-shops are leading the H & B stores, which have greatly improved their experience and content. In these environmental changes, the offline distribution channels are turning into the multi-editing shops that have introduced products of various brands and greatly enhanced experiences and contents. Nevertheless, most studies of factors and measurement items for measuring customer experience in the H&B store use Schmitt (1999)'s Strategic Experience Modules (SEMs). Therefore, the purpose of this study is to propose a measure that is practicable through consideration of the in-store customer experience components of the H&B store. Research design, data and methodology: Based on Schmitt's Strategic Experience Modules (SEMs), which are widely used in customer experience marketing, the metric pool was constructed through customer and literature research on H & B store managers. Since then, 101 preliminary surveys and 211 main surveys have been conducted in order to propose a dimension of customer experience and refine the metrics. Results: As a result of the research, H&B store's customer experience was derived from a measurement model consisting of 19 measurement items in total of five dimensions: environmental experience, intellectual experience, behavioral experience, tech experience, and relationship experience. This study analyzed that compared to the existing Schmitt's Strategic Experience Modules (SEMs), (1) emotional experience expanded to environmental experience, (2) Cognitive and relationship experiences are maintained (3) behavioral experience was subdivided into physical and technical experiences. In particular, the environmental experience has been proposed as a major component is an important point because the H&B store recently opened a large flagship store and is competitive in constructing a differentiated space. Conclusions: Related experience was seen as an important component of customer experience in the offline store, but in the process of refining the scale, interaction items with employees of the H&B store were removed, and rather, participation in the APP or SNS channel of the company, event Participation, interaction with other customers, etc. appear to be important, while suggesting the practical implications.

• The Journal of Information Systems
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• v.27 no.3
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• pp.141-160
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• 2018

Purpose The purpose of this study is to verify mobile game users' perceived utilities about real (price) and virtual (Ruby) currencies, which are the major factors of in-app purchase (IAP) widely used as a business model in a mobile game industry. Design/methodology/approach By using sales volume and sales frequency data for products sold in an 'S' mobile game from the 'D' mobile game company, we conducted a conjoint analysis according to the procedure recommended by Bicheno (2009). Findings The results of this study indicate that (1) mobile game users have greater utility for a virtual currency (Ruby) than for a real currency (price), (2) mobile game users' utility for virtual (Ruby) and real (price) currencies varies depending on sales volume and sales frequency, as well as (3) mobile markets (e.g., Google Play Store vs. Apple App Store), and (4) mobile game users have greater utility for a virtual currency (Ruby) which can be used readily than later.

• Asia pacific journal of information systems
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• v.33 no.1
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• pp.171-187
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• 2023

Observational Learning (OL) in Information Systems (IS) literature, inferring product quality from the popularity as an aggregated summary of the purchase history, differs from Word of Mouth (WOM) effects in that OL offers less information and thus leaves more room for interpretation of the quality signal. Our study empirically tests the asymmetric effect of the popularity of a platform on a sale conducted on that platform (within-popularity effect) and the asymmetric spillover effects of the popularity of a platform on sales conducted on the other platform (between-popularity effect) using multihoming games across two representative mobile platforms, i.e., Google Play and Apple's App Store. Consideration of the multihoming games gives salience to the asymmetries by controlling for matched game quality, a possible cause of simultaneity. We exploit a diverse panel data framework to systematically address unavoidable econometrical issues and a dynamic panel data model to control endogeneity of autoregression. Finally, by applying z-test to compare two matched pairs of coefficients, we found that the within-popularity of the Google Play is significantly greater than that of the App Store, whereas the between-popularity is significantly less. We speculate that contextual information, that is, information publicly available about a platform's policy, moderates the interpretation of OL signals, causing asymmetric effects.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.105-113
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• 2021

This study is a qualitative study that conducted one-on-one in-depth interviews and focus group interviews to understand the meaning of the experience of participating in a cardio-cerebrovascular disease prevention management program using a mobile app for middle-aged female workers. The subjects of this study were 26 female workers over 50 years of age who participated in a cardio-cerebrovascular disease prevention program using a mobile app in a department store. Participating experience derived from the research result were 'Pleasure of getting to know', 'Activation of mutually friendly relations', 'health concerns take care of me ', 'Accepting an unfamiliar culture', 'Convenience as if receiving counseling anywhere. Through these results, it was shown that the mobile app improves the will to practice health behavior, and it is suggested that a standard to guarantee that the mobile app is a safe program is necessary to reduce anxiety about unfamiliar programs when installing the mobile app.

• The Research Journal of the Costume Culture
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• v.21 no.2
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• pp.287-300
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• 2013

The aim of this study was to find typology of fashion-related mobile applications through exploratory investigation and to investigate differences in Korea and U.S. App stores. And then, through the qualitative evaluation about fashion mobile applications, this study proposes fashion mobile application's design and contents which can be preferred by users. By conducting keyword search in each store, 122 Korean applications and 150 US applications were analyzed. Empirical findings revealed that there were seven major types of fashion mobile applications: brand, magazine, information, SNS, game, shopping and coordination. Information type applications took up the largest portion, and SNS and game type applications showed higher ranking among customers. There were more game Apps in US and more shopping Apps in Korean stores. More free Apps were found in Korean App stores, whereas relatively more paid Apps were found in US App stores especially in game, magazine and information type applications. And as a result of usability evaluation of fashion mobile application, users prefer SNS and information category application to shopping and brand category. Also users want continuous improvement and new contents for fashion mobile application.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.2
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• pp.287-294
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• 2017

Recently, many kinds of TV contents based on multimedia need transmission systems without the saved. In this study, we develop the streaming device and smart app to transmit and play without store for multimedia contents such a broadcasting, internet, VOD, video, and animation. To do this, we compare and analysis main CPU products, broadcasting tuners and interfaces for streaming sources, and memory products. We then design and implement the streaming device which supports 30fps@FHD H.264 decoding and streaming, and multimedia sources with more than three. We develop the software for these requirements. Thissystemis useful to support billing service for multimedia contents.