• 한국콘텐츠학회논문지
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• 제22권1호
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• pp.58-73
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• 2022

이 연구의 목적은 모바일 앱 실적 변수 간의 관계를 파악하여 예측 가능한 앱 실적 변수의 추정 모델을 구성하고 앱 리뷰가 앱 실적 지표에 미치는 영향을 검증하는 것이다. 연구1과 2에서는 상관분석과 기계학습의 랜덤 포레스트 회귀 추정을 사용하여 앱 실적 간의 관계를 도출하고 앱 실적 추정 모델링을 수행하였다. 연구3에서는 앱 리뷰를 텍스트 마이닝의 감성분석을 사용하여 일별 감성 점수를 도출한 후 다변량 시계열분석을 사용하여 앱 리뷰의 감성점수가 앱의 일일 설치 횟수에 선행하여 영향을 주는 것을 발견하였다. 앱을 개발하고 서비스하는 기업은 앱 실적 지표와 앱 리뷰에서 제기되는 불만족과 고객 니즈를 검토하여 적기에 앱을 개선하고 마케팅 판매촉진활동의 시점과 방향성을 도출할 수 있다.

• 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.

• 유통과학연구
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• 제20권8호
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• pp.105-114
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• 2022

Purpose: The technology acceptance model (TAM) refers to a theory that maps the possibility or extent to which users can accept an innovative technology. The purpose of the current research is to investigate the mediating effect of TAM between online review and behavior intention for promoting golf app's distribution. Research design, data and methodology: In order to examine the relationship between app usage reviews, TAM, and behavioral intentions of golf app participants, the present author collected total 170 responses from South Korean participants based on web-based survey system. The main methodology which was selected by this study is mediation causality analysis that Baron and Kenny suggested. Results: The statistical findings definitely indicated that TAM mediating role exists between the positive emotion of golf app users regarding online reviews and positive behavior intention of golf app, which means that all three steps of mediation causality analysis were statistically significant. Conclusions: The present research concludes that the correct utilization of innovation in the design and implementation of the technology features translates into performance excellence. The model can be used to increase the online presence through innovation as a primary drive toward providing more convenience and accessibility to the users through mobile golf apps.

• 한국조리학회지
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• 제22권2호
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• pp.234-251
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• 2016

본 연구는 스마트폰 맛집 앱에 대한 서비스품질(정보성, 유용성, 이동성, 신뢰성, 공감성)과 사용후기 특성(사용후기 동의성, 사용후기 유용성)이 맛집 앱을 이용한 후의 만족과 재이용의도에 미치는 영향관계를 검증하여 외식업체들이 스마트폰 앱을 통해 효과적인 마케팅 전략을 구축할 수 있도록 유용한 정보를 제공하고자 한다. 본 연구의 자료수집을 위해 2015년 9월 15일부터 10월 30일까지 설문조사를 실시하였으며, 편의표본추출법에 의해 스마트폰 맛집 앱 이용자를 대상으로 조사를 진행하였다. 설문지는 312부를 배포하였으며, 이 중 유효한 자료 295부를 분석에 사용하였고, 가설검증을 위해 구조모형분석을 실시하였다. 분석결과, 첫째, 맛집 앱에 대한 서비스품질 중 신뢰성, 공감성, 유용성이 맛집 앱만족에 유의한 영향을 미치는 것으로 나타난 반면, 정보성과 이동성은 맛집 앱만족에 유의한 영향을 미치지 않는 것으로 나타났다. 둘째, 사용후기 특성 중 사용후기 동의성만이 맛집 앱만족에 유의한 영향을 미치는 것으로 나타났으며, 사용후기 유용성은 맛집 앱만족에 유의한 영향을 미치지 않는 것으로 나타났다. 셋째, 맛집 앱만족은 재이용의도에 유의한 영향을 미치는 것으로 나타났다.

• Human Ecology Research
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• 제58권4호
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• pp.613-633
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• 2020

This study identifies consumers' perceived benefits and costs when using Samsung Health (a healthcare app) based on consumer reviews from Google Play Store's app and social media discourse. We examine the differences in the benefits and the costs of Samsung Health using these two sources of data. We conducted text frequency analysis, clustering analysis, and semantic network analysis using R programming. The major findings are as follows. First, consumers experience benefits and costs on several functions of the app, such as step counting, device interlocking, information acquisition, and competition with global consumers. Second, the results of semantic network analysis showed that there were eight benefit factors and three cost factors. We also found that the three costs correspond to the benefits, indicating that some consumers gained benefits from certain functions while others gained costs from the same functions. Third, the comparison between consumer app review and social media discourse showed that the former is appropriate to assess the performance of app functions, while the latter is appropriate to examine how the app is used in daily life and how consumers feel about it. The current study suggests managerial implications to healthcare app service providers regarding what they should strengthen and improve to enhance consumers' satisfaction. It also suggests some implications from the two media, which can be mutually complementary, for researchers who study consumer opinions.

• International journal of advanced smart convergence
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• 제9권4호
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• pp.124-131
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• 2020

As users of internet-based software applications increase, functional and non-functional problems for software applications are quickly exposed to user reviews. These user reviews are an important source of information for software improvement. User review mining has become an important topic of intelligent software engineering. This study proposes a user review mining method for software improvement. User review data collected by crawling on the app review page is analyzed to check user satisfaction. It analyzes the sentiment of positive and negative that users feel with a machine learning method. And it analyzes user requirement issues through topic analysis based on structural topic modeling. The user review mining process proposed in this study conducted a case study with the a non-face-to-face video conferencing app. Software improvement through user review mining contributes to the user lock-in effect and extending the life cycle of the software. The results of this study will contribute to providing insight on improvement not only for developers, but also for service operators and marketing.

• 한국콘텐츠학회지
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• 제9권3호
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• pp.43-52
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• 2011

• 한국콘텐츠학회논문지
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• 제15권1호
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• pp.300-307
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• 2015

본 연구는 모바일 앱을 이용한 당뇨 환자 관리관련 선행연구들을 체계적으로 고찰하여 임상적 유용성에 미치는 효과를 분석하고, 이를 토대로 근거 중심의 가이드라인 제공 및 향후 연구방향을 제시하고자 시도되었다. 데이터베이스는 Ovid, CINAHL, Cochrane library를 활용하였으며 (app*OR mobile) AND (nurs*OR health* OR medic*) AND (diabet*)을 주요어로 2004년부터 2014년까지의 문헌을 대상으로 검색하였다. 총 375편의 연구 중 3편의 논문이 최종 선정되었고, Scottish Intercollegiate Guidelines Network (SIGN)의 Checklist를 이용해 문헌의 질을 평가하였다. 연구결과 앱을 적용한 당뇨관리는 당화혈색소 감소에 통계적으로 유의한 효과가 있었다. 추후 연구의 설계유형이나 이를 기반으로 한 효과적인 중재개발 연구를 제안한다. 향후 충분한 표본수를 고려한 무작위 실험연구와 당화혈색소 이외 생리적 지표와 심리적 지표에 대한 연구가 더 많이 시행될 필요가 있다.

• 한국정보시스템학회지:정보시스템연구
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• 제30권4호
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• pp.227-245
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• 2021

Purpose The purpose of this study is to examine the variables affecting user satisfaction through previous studies and to examine the differences between apps. Differences are based on factors that determine the quality of real estate service apps and derived by the topic modeling results. Design/methodology/approach This study conducts topic modeling to find factors affecting user satisfaction of real estate service apps using user reviews. Sentiment analysis is additionally conduct on the derived topics to examine the user responses. Findings Users give high sentiment scores for services that can manage factors such as usefulness of information, false sales, and hype. In addition, managing the basic services of app is an important factor influencing user satisfaction.

• Journal of Korea Trade
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• 제24권7호
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• pp.1-28
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• 2020

Purpose - This paper empirically investigates the predictors and main determinants of consumers' ratings of mobile applications in the Google Play Store. Using a linear and nonlinear model comparison to identify the function of users' review, in determining application rating across countries, this study estimates the direct effects of users' reviews on the application rating. In addition, extending our modelling into a sentimental analysis, this paper also aims to explore the effects of review polarity and subjectivity on the application rating, followed by an examination of the moderating effect of user reviews on the polarity-rating and subjectivity-rating relationships. Design/methodology - Our empirical model considers nonlinear association as well as linear causality between features and targets. This study employs competing theoretical frameworks - multiple regression, decision-tree and neural network models - to identify the predictors and main determinants of app ratings, using data from the Google Play Store. Using a cross-validation method, our analysis investigates the direct and moderating effects of predictors and main determinants of application ratings in a global app market. Findings - The main findings of this study can be summarized as follows: the number of user's review is positively associated with the ratings of a given app and it positively moderates the polarity-rating relationship. Applying the review polarity measured by a sentimental analysis to the modelling, it was found that the polarity is not significantly associated with the rating. This result best applies to the function of both positive and negative reviews in playing a word-of-mouth role, as well as serving as a channel for communication, leading to product innovation. Originality/value - Applying a proxy measured by binomial figures, previous studies have predominantly focused on positive and negative sentiment in examining the determinants of app ratings, assuming that they are significantly associated. Given the constraints to measurement of sentiment in current research, this paper employs sentimental analysis to measure the real integer for users' polarity and subjectivity. This paper also seeks to compare the suitability of three distinct models - linear regression, decision-tree and neural network models. Although a comparison between methodologies has long been considered important to the empirical approach, it has hitherto been underexplored in studies on the app market.