• Journal of Internet Computing and Services
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• v.12 no.4
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• pp.73-91
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• 2011

This research aims to compare the features and environments for media acceptance of tablet against laptop computer in the u-Learning environment. While it is need to accept suitable media for u-Learning learner, most of existing research has focused on finding factors which can affect perceived usefulness and perceived ease of use on extended technology acceptance model and how to fulfill those factors. Thus this research drew four categories need to use media in the u-Learning environment, then adopts Kano's model and IPA methodology. The results by Kano's model identify exciting and basic attributes which do not match overall satisfaction of learners. Moreover the research analyses by IPA methodology illustrate whether the factors considered important by learners are fulfilled. The research also emphasis the significance of enhancing relative importance as well as satisfaction of the properties for media acceptance in the u-Learning environment.

• 한국사회정책
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• v.25 no.4
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• pp.199-231
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• 2018

The development of ICT has led to changes in the pattern and the meaning of work and requires restructuring of the existing social security system, which was established chiefly for the wage workers in the industrial economy. However, while economic activities within the digital platform markets are different from industrial labour, there is still a lack of discussion on what social problems platform workers can face and how to cope with them. As a comprehensive sketch of economic activities in platform economy, this study identifies the types of platform workers and analyses three characteristics of their economic activities - flexibility, virtuality, and connectivity. It then examines what social risks can be derived form the three characteristics. This research lastly suggests alternative social safety nets and policies to alleviates the social risks and problems that platform workers may face in the digital society.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.06a
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• pp.185-188
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• 2013

본 논문은 스마트 TV 플랫폼에서 실행되는 앱이 TV 에 특화된 기능을 수행하기 위해서 필요한 스마트 TV확장 API 의 정의와 그 구현에 대한 내용을 소개한다. 2013 년 3 월 TTA 에서 제정된 "HTML5 기반 스마트 TV 플랫폼" 표준은 스마트 TV 용으로 제작된 하나의 앱이 다양한 TV 수신기에서 동일한 사용자 경험(UX)을 바탕으로 실행될 수 있는 TV 플랫폼 표준이며, 이는 HTML5 를 포함하는 최신 W3C 기술 규격을 기반으로 하고 있다. 본 논문에서는 표준에 기술된 사항 중 채널과 프로그램과 같이 TV 에 특화된 기능으로 W3C 에 규격범위에 포함되지 않아 새롭게 정의된 확장 API 의 구조 및 기능에 대해서 설명한다. 확장 API 는 앱, 방송, 수신기의 세가지 항목으로 분류되어 상세한 인터페이스 기능을 정의하고 있으며 스마트 TV 플랫폼의 window 객체 아래에 전역 속성으로 계층 구조를 이루도록 설계되었다. 스마트 TV 앱은 이러한 확장 API 를 호출하여 방송과 연계된 다양한 서비스를 실현할 수 있다. 또한 본 논문은 확장 API 의 유효성 검증을 위하여 표준을 준수하여 구현된 수신기 플랫폼과 앱의 구현과 동작 사례를 제시하고 있으며, 유럽의 스마트 TV 방송 규격인 HbbTV 와의 비교를 통해서 API 의 장단점과 지원 범위를 확인하고 개선 방향을 모색한다.

• Journal of the Korean Dietetic Association
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• v.26 no.3
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• pp.208-220
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• 2020

In modern society, the online to offline (O2O) market has become an emerging market. Based on social and cultural phenomena, the importance of "FOODTECH" linked with mobile applications is growing in the food and restaurant industry. This study examined subjective food application service quality, perceived value, and post-purchase behavior intentions. According to this study, of foodtech service quality attributes, only information, mobility, and reliability had positive (+) relationships with perceived value. However, foodtech service quality attributes did not have a direct impact on behavior intentions. Perceived values had a positive (+) relationship with behavior intentions and showed full mediation effects between foodtech service quality attributes and behavior intentions. Based on these results, future research on the relationship among food application service quality, perceived value, and post-purchase behavior intentions is needed.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1184-1187
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• 2011

스마트폰 시장이 커지면서, 사람들이 하루에 업로드하고 다운로드하는 어플리케이션의 수 또한 급격히 증가하고 있다. 앱스토어와 안드로이드마켓에 등록된 어플리케이션의 종류는 어마어마하며, 사람들은 자신의 생활을 편리하게 해줄 어플리케이션 혹은 재미를 위한 어플리케이션을 다운로드하고자 한다. 하지만 현재 어플리케이션에 대한 평가는 점수로만 이루어져있기 때문에 어느 부분에서 뛰어난지, 어떤 부분의 기능이 떨어지는지는 사용자가 알 수 없고, 특정 기능을 중요시하는 사용자일 경우 별점이 높아도 해당기능이 만족스럽지 않으면 만족감의 정도는 대단히 떨어지게 된다. 그러면 다른 어플리케이션을 받아 같은 작업을 반복해야하는데, 이 경우가 반복될 경우 비용적인 문제뿐만 아니라 사용자에게 매우 번거로운 일이다. 따라서 본 논문에서는 기존 사용자들이 자신이 사용한 어플리케이션에 대해 작성한 후기를 오피니언 마이닝 기술을 적용시켜 각 키워드별, 즉 속성별로 평가하고 긍정/부정 여부를 데이터베이스에 저장하여, 해당 어플리케이션을 검색한 미래의 어플리케이션 사용자에게 시각적으로 정보를 알려주어 사용자의 수고를 덜어주고자 한다. 어플리케이션 다운로드가 매우 단순한 작업이지만, 다운로드 수가 많기 때문에 본 논문의 제안을 적용한다면 비용을 절감시켜 줄 뿐만 아니라 매우 효율적인 작업이 될 것이라 기대한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.420-423
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• 2020

스카이라인 질의는 객체의 속성을 기준으로 사용자의 선호에 적합한 대상을 탐색하는 기법이다. 기존 스카이라인 질의는 일괄처리 방식으로 탐색 결과를 반환하지만 대화형 앱이나 모바일 환경과 같이 잦은 위치이동 발생 시 일괄처리 방식으로 스카이라인 질의 결과를 신속하게 받기 어렵다. 최근접 이웃(Nearest Neighbor) 알고리즘은 사용자와 상호 작용이 필요한 대화형 앱에서 실시간으로 선호 객체를 탐색하여 사용자에게 전달함으로써 객체의 반환 속도를 향상시켰다. 그러나 최근접 이웃 알고리즘은 객체 탐색 과정에서 반복적인 비교 연산을 수행하여 불필요한 탐색 시간이 소요된다. 본 논문은 대화형 앱에서 신속한 스카이라인 결과를 산출하고자 연산 대상 객체의 범위를 축소함으로써 최근접 이웃 스카이라인 질의 알고리즘의 성능을 향상시킨 전처리 기법을 제안한다. 데이터 객체는 최대 40,000 개의 실험에서 제안 기법은 최근접 이웃 알고리즘보다 50% 빠른 성능을 나타내어 본 연구의 가용성이 증명되었다.

• Knowledge Management Research
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• v.21 no.3
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• pp.249-269
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• 2020

Recently, as the online market has matured, it is facing many problems to prevent the growth. The most common problem is the homogenization of online products, which fails to increase the number of customers any more. Moreover, although the portion of the online market has increased significantly, it now becomes essential to expand offline for further development. In response, many online firms have recently sought to expand their businesses and marketing channels by securing offline spaces that can complement the limitations of online platforms, on top of their existing advantages of online channels. Based on their competitive advantage in terms of analyzing large volumes of customer data utilizing information technologies (e.g., big data and artificial intelligence), they are reinforcing their offline influence as well through this online for offline (O4O) business model. On the other hand, most of the existing research has primarily focused on online to offline (O2O) business model, and there is still a lack of research on O4O business models, which have been actively attempted in various industrial fields in recent years. Since a few of O4O-related studies have been conducted only in an experience marketing setting following a case study method, it is critical to conduct an empirical study on O4O selection attributes and their impact on customer satisfaction and loyalty. Therefore, focusing on China's representative O4O business model, 'Fresh Hema,' this study attempts to identify some key selection attributes specialized for O4O services from the customers' viewpoint and examine the impact of these attributes on customer satisfaction and loyalty. The results of the structural equation modeling (SEM) with 300 O4O (Fresh Hema) experienced customers, reveal that, out of seven O4O selection attributes, four (mobile app quality, mobile payment, product quality, and store facilities) have an impact on customer satisfaction, which also leads to customer loyalty (reuse intention, recommendation intention, and brand attachment). This study would help managers in an O4O area well adapt to rapidly changing customer needs and provide them with some guidelines for enhancing both customer satisfaction and loyalty by allocating more resources to more significant selection attributes, rather than less significant ones.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.1-23
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• 2023

In this study, we try to discover some success factors, for the entire value chain of the O2O food delivery industry in China, from ordering to delivery. We study the influence of three aspects of the value chain, namely, (1) the mobile platform, (2) the restaurant and food and (3) the delivery service, on the perceived value and repurchase intention of customers. Using structural equation modeling, we develop a structural research model with seven sets of hypotheses relating various independent variable constructs (platform, restaurant, and delivery) and dependent constructs (perceived value and repurchase intention). We find that usefulness of mobile app, the food condition and the availability of offline restaurants were significant antecedents for perceived value and repurchase intention. In addition, fair pricing was a significant antecedent for repurchase intention.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.1-17
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• 2012

Personalized smart devices such as smartphones and smart pads are widely used. Unlike traditional feature phones, theses smart devices allow users to choose a variety of functions, which support not only daily experiences but also business operations. Actually, there exist a huge number of applications accessible by smart device users in online and mobile application markets. Users can choose apps that fit their own tastes and needs, which is impossible for conventional phone users. With the increase in app demand, the tastes and needs of app users are becoming more diverse. To meet these requirements, numerous apps with diverse functions are being released on the market, which leads to fierce competition. Unlike offline markets, online markets have a limitation in that purchasing decisions should be made without experiencing the items. Therefore, online customers rely more on item-related information that can be seen on the item page in which online markets commonly provide details about each item. Customers can feel confident about the quality of an item through the online information and decide whether to purchase it. The same is true of online app markets. To win the sales competition against other apps that perform similar functions, app developers need to focus on writing app descriptions to attract the attention of customers. If we can measure the effect of app descriptions on sales without regard to the app's price and quality, app descriptions that facilitate the sale of apps can be identified. This study intends to provide such a quantitative result for app developers who want to promote the sales of their apps. For this purpose, we collected app details including the descriptions written in Korean from one of the largest app markets in Korea, and then extracted keywords from the descriptions. Next, the impact of the keywords on sales performance was measured through our econometric model. Through this analysis, we were able to analyze the impact of each keyword itself, apart from that of the design or quality. The keywords, comprised of the attribute and evaluation of each app, are extracted by a morpheme analyzer. Our model with the keywords as its input variables was established to analyze their impact on sales performance. A regression analysis was conducted for each category in which apps are included. This analysis was required because we found the keywords, which are emphasized in app descriptions, different category-by-category. The analysis conducted not only for free apps but also for paid apps showed which keywords have more impact on sales performance for each type of app. In the analysis of paid apps in the education category, keywords such as 'search+easy' and 'words+abundant' showed higher effectiveness. In the same category, free apps whose keywords emphasize the quality of apps showed higher sales performance. One interesting fact is that keywords describing not only the app but also the need for the app have asignificant impact. Language learning apps, regardless of whether they are sold free or paid, showed higher sales performance by including the keywords 'foreign language study+important'. This result shows that motivation for the purchase affected sales. While item reviews are widely researched in online markets, item descriptions are not very actively studied. In the case of the mobile app markets, newly introduced apps may not have many item reviews because of the low quantity sold. In such cases, item descriptions can be regarded more important when customers make a decision about purchasing items. This study is the first trial to quantitatively analyze the relationship between an item description and its impact on sales performance. The results show that our research framework successfully provides a list of the most effective sales key terms with the estimates of their effectiveness. Although this study is performed for a specified type of item (i.e., mobile apps), our model can be applied to almost all of the items traded in online markets.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.7
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• pp.319-326
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• 2016

Given the attributes of mobile apps that shorten the time to make purchase decisions while enabling easy purchase cancellations, usability can be regarded to be a highly prioritized quality attribute among the diverse quality attributes that must be provided by mobile apps. With that backdrop, mobile app developers have been making great effort to minimize usability hampering elements that degrade the merchantability of apps in many ways. Most elements that hamper the convenience in use of mobile apps stem from those potential errors that occur when GUIs are designed. In our previous study, we have proposed a technique to analyze the usability of mobile apps using user behavior logs. We proposes a technique to detect usability hampering elements lying dormant in mobile apps' GUI models by expressing user behavior logs with finite state models, combining user behavior models extracted from multiple users, and comparing the combined user behavior model with the expected behavior model on which the designer's intention is reflected. In addition, to reduce the burden of the repeated test operations that have been conducted by existing developers to detect usability errors, the present paper also proposes a mobile usability error detection automation tool that enables automatic application of the proposed technique. The utility of the proposed technique and tool is being discussed through comparison between the GUI issue reports presented by actual open source app developers and the symptoms detected by the proposed technique.