• 한국정보시스템학회지:정보시스템연구
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• 제19권3호
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• pp.181-208
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• 2010

As knowledge-based society comes to the fore, sharing knowledge becomes a hot issue. Among various types of knowledge, a significance of software(applications) and contents is a huge in a current society. Moreover, along with appearance of smartphone, for instance iPhone, Application Store(also known as AppStore) utilized as a common gateway for sharing software and contents, brings a big interest for many users and developers. However, prior research to understand users' behavior on AppStore has been a scant. Therefore, the main purpose of this study is to investigate the impact of key smart service environmental factors on AppStore in order to empirically explain users' psychological feelings of intention to use AppStore. Based on a well-known technology adoption model, TAM, the study incorporates three main characteristics(user, society, and service) with six constructs(Innovation, Enjoyment, Subjective Norm, Information Level, Content variety, and Cost), influencing perceived usefulness, which then affects users' intention to use AppStore. Results provide evidence that support the tested hypotheses. The implications of the findings suggest a new theoretical work for future AppStore research and offers suggestions that the researchers and practitioners of AppStore should consider regarding the development of application and contents.

• 한국컴퓨터정보학회논문지
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• 제20권7호
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• pp.65-76
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• 2015

This study investigates predictors of continuance intention and purchase intention in mobile application(App) stores. This study identifies the structural relationships among app store quality, user habit, switching costs, user loyalty, continuance intention, and purchase intention in mobile application stores. The results indicate that user loyalty increases continuance intention and purchase intention and that user habit positively affects perceived switching costs and user loyalty. App store quality is a formative construct including quality of content, ease of use, and security. App store quality affects user habit positively. This study theoretically and practically contributes to the integration of influential factors for continuance intention as well as purchase intention.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.587-590
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• 2014

스마트기기의 보급이 증가함에 따라 앱스토어 시장이 거대하게 형성되었고, 지금 이 시점에도 하루가 다르게 그 규모가 증가하고 있다. 이에 따라 기업 및 개인의 이익을 위해 스마트기기의 보안을 위협하는 악성앱들이 앱스토어에 심심치 않게 등장하고 있다. 단말기 보안은 국가와 기업, 그리고 많은 대학에서 연구를 통해 다양한 솔루션을 내놓고 있다. 하지만 악성앱이 앱스토어에 등록되지 않도록 어플리케이션 등록단계에서 차단하는 정책적인 접근에 대한 연구와 솔루션에 대해서는 앱스토어를 운영하는 기업에 전적으로 일임하고 있으며, 그 기준도 미흡하여 다양한 문제가 발생하고 있다. 본 연구에서는 현재 앱스토어의 보안정책의 문제점을 분석한 뒤 한계점을 제시한다.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.456-463
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• 2023

We conducted this study to identify the components of H&B store app service quality and their effect on customer satisfaction. The survey was conducted through an online survey for teenagers or older with experience in using H&B store app. A total of 330 copies were distributed and a total of 282 copies were used for the final analysis. The results of this study are summarized as follows: First, eight factors such as ease of use & design, fulfillment, playfulness, responsiveness, personalization, security, contextual usefulness, interactivity were derived as service quality components of H&B store app. Second, as a result of regression analysis, the six service quality components, such as 'ease of use & design', 'fulfillment', 'playfulness', 'responsiveness', 'security', and 'interactivity' were found to have a significant positive (+) effect on customer satisfaction (p<0.05) and 'playfulness (β=.372)' had the greatest effect on customer satisfaction. Based on the results of this study, we should strive to establish effective marketing strategies in the H&B industry.

• International Journal of Contents
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• 제10권3호
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• pp.1-8
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• 2014

In this paper, we collect and analyze the status of mobile phone applications (hereafter apps) in the healthcare and fitness category of the Apple iTunes App Store and Google Play Store. We determine the number of apps and analyze statistical aspects such as classifications, age rating, fees, and user evaluation of the popular items. As of September 30, 2013, there were 236 popular apps available from iTunes. Google Play offered 720 apps. We discover that apps for healthcare and fitness are diverse. Apps for physical exercise have the greatest popularity. The proportions of apps that are suitable for all ages among the Google and iTunes popular apps are 55.8% and 89.4%, respectively. The user evaluation of apps in iTunes is relatively less positive. We determine that the proportion of paid apps to free apps in Google is higher than that of the apps in iTunes. We perform hypothesis tests and find statistically significant differences in age rating and perceived satisfaction between the apps of the Apple iTunes App Store and Google Play Store. However, we find no meaningful differences in the classification and price of the apps between the two app stores. We perform hypothesis tests to verify the differences in age rating and perceived satisfaction between the paid and free apps within and across the Google Play Store and iTunes App Store. There are statistically significant differences in the age rating between the paid and free apps in the Google play store, between the Google free and iTunes free apps, between the Google paid and iTunes paid apps, between the Google free and iTunes paid apps, and between the Google paid and iTunes free apps. There are statistically significant differences in the perceived satisfaction between the Google free and iTunes free apps, between the Google paid and iTunes paid apps, between the Google free and iTunes paid apps, and between the Google paid and iTunes free apps.

• 한국컴퓨터정보학회논문지
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• 제20권2호
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• pp.11-20
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• 2015

본 논문에서는 앱스토어의 정확한 정보 전달을 위해 집단지성을 이용한 상황인지 시스템을 제안한다. 이 시스템은 개인이 문제 처리 시 발생하는 오류를 집단지성으로 발생하는 집단적인 능력을 이용하여 최소화하고, 앱개발자에게 필요한 API를 추천함으로써 소비자 중심이던 앱스토어를 개발자와 소비자 중심의 앱스토어를 구축 한다. 또한 이 시스템은 소비자의 상황을 온톨로지 기법에 적용하여, 앱스토어 시스템이 소비자의 상황에 적합한 앱을 추천하고, 앱개발자에게 정보를 제공해준다. 이때 앱소비자의 상황정보는 Jena의 추론기법을 활용함으로써, 소비자 상황을 정확히 추론하여 기존의 앱스토어 보다 한 단계 높은 상황인지 앱스토어 시스템을 구축한다. 본 논문에서는 제안하는 앱스토어 시스템 모듈은 기존의 소비자 중심의 앱스토어에 비해 소비자의 상황정보에 따른 서비스 전달 및 정확성 면에서 기존의 앱스토어 보다 우수함을 보인다.

• 한국정보시스템학회지:정보시스템연구
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• 제27권2호
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• pp.1-28
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• 2018

Purpose More than 7.6 million mobile apps could be approved on both Apple iTunes Store and Google Play. For managing those existed Apps, Apple Inc. established twenty-four primary categories, as well as Google Play had thirty-three primary categories. However, all of their categorizations have appeared more and more problems in managing and classifying numerous apps, such as app miscategorized, cross-attribution problems, lack of categorization keywords index, etc. The purpose of this study focused on introducing individual information cognitive processing as the classification criteria to update the current categorization on Apple iTunes Store. Meanwhile, we tried to observe the effectiveness of the new criteria from a classification process on Apple iTunes Store. Design/Methodology/Approach A research approach with four research stages were performed and a series of mixed methods was developed to identify the feasibility of adopting individual information cognitive processing as categorization criteria. By using machine-learning techniques with Term Frequency-Inverse Document Frequency and Singular Value Decomposition, keyword lists were extracted. By using the prior research results related to car app's categorization, we developed individual information cognitive processing. Further keywords extracting process from the extracted keyword lists was performed. Findings By TF-IDF and SVD, keyword lists from more than five thousand apps were extracted. Furthermore, we developed individual information cognitive processing that included a categorization teaching process and learning process. Three top three keywords for each category were extracted. By comparing the extracted results with prior studies, the inter-rater reliability for two different methods shows significant reliable, which proved the individual information cognitive processing to be reliable as criteria of categorization on Apple iTunes Store. The updating suggestions for Apple iTunes Store were discussed in this paper and the results of this paper may be useful for app store hosts to improve the current categorizations on app stores as well as increasing the efficiency of app discovering and locating process for both app developers and users.

• 한국콘텐츠학회지
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• 제9권3호
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• pp.43-52
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• 2011

• 디지털산업정보학회논문지
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• 제10권3호
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• pp.23-33
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• 2014

The smart phone are changing the way people communicate. And, the mobile app marketplace is greatly fast-growing. The app store continues its rapid growth, there are already more than 900,000 mobile apps on AppStore. We anticipate to see gained momentum throughout the business. Mobile is also becoming popular for marketers. Therefore, specialized app analysis systems are becoming important to how marketers and app developers invest, analyze and market their apps. App analysis systems enable users to discover and analyze behavior through data observations and meaningful patterns. In this paper, we introduce app analysis system and CMS System Open API, NugaLog. The NugaLog acquires users data and engages with them in a variety of ways. It will be essential for us to understand how users interact with and move through the app. The NugaLog will be able to see the number of users, smart phone model, smart phone OS, resolution, page views, and app version.

• 스마트미디어저널
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• 제2권3호
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• pp.39-46
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• 2013

현재 스마트폰의 대중화에 따라 주위에서 QR코드가 그려진 제품들을 쉽게 찾아볼 수 있다. 식당에서도 마찬가지로 가게 정보를 QR코드를 사용하여 소비자들에게 알려 주는 방식을 주로 사용하고 있다. QR코드는 이미 16년이나 된 오래된 기술로 우리나라에서는 기술 구현의 편의성과 함께 모바일로의 커뮤니케이션 채널 확대라는 이유로 마케팅 분야에서 다양하게 활용되고 있다. 그러나 QR코드를 인식하기 위해서는 해당 어플리케이션을 찾아서 실행해야 되고, 로딩시간과 QR코드를 향해 포커스를 맞추어 인식을 시켜야 하는 문제점이 있다. 이러한 문제점을 해결하기 위해, 본 논문에서는 NFC 기술을 이용하여 가게정보를 관리하는 앱을 제안한다. 본 논문에서 제안하는 앱은 가게의 명함을 통해 가게정보를 쉽게 저장하고, 스마트폰에서 취득한 가게정보의 관리가 용이하다.