• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.63-69
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• 2022

We develop a smart tourism information system that provides smart tourism services to free independent tourists (FITs) through various content distribution channels such as mobile apps, Instagram, YouTube, and chatbots. The smart tourism information system provides location and storytelling-based tourism information, accommodation, restaurant information, and recommended travel products so that tourists can create a travel itinerary based on personalized situation awareness. The smart tourism information system also provides smart tourism services using commercial maps, navigation, and weather forecast APIs from the Korea Meteorological Administration to provide smart tour guide services to tourists who travel according to the travel itinerary. In this paper, we develop the React Native app that provides smart tourism services provided by the smart tourism information system. The smart tourism React Native app has implemented two methods: a method that directly connects to the smart tourism information system, and a method that provides services by interworking through the GraphQL Query Language developed by META (Facebook). The smart tourism React Native app implements OSMU (One Source Multi-use) by providing tourism information from mobile apps, photos from Instagram, and drone videos from YouTube as an integrated UI.

• KIISE Transactions on Computing Practices
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• v.23 no.1
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• pp.13-27
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• 2017

This paper presents a tool that automatically generates mobile web applications from user interface (UI) models which are based on PELUM (Pattern and Event based Logical User Interface Modeling). PELUM is a method for the effective development of UI-centered embedded systems via UI modeling. The proposed tool consists of a model editor and a code generator. The former provides an environment for modeling a Logical UI Model (LUM) and a Programming Interface Model (PIM) on the web. On the other hand, the code generator sets the screen configuration and events' behavior, according to the LUM, synthesizing a local database schema according to the PIM, and then generates an executable mobile web app. It also can produce mashup web apps by receiving an open API address via the PIM. The generated mobile web apps follow the Model-View-Controller (MVC) architecture in order for users to easily customize them. The proposed tool enables them to generate mobile web apps that can be executed on various devices by modeling logical UIs on the web.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.41-62
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• 2018

Despite the rapid growth of the mobile shopping market, major market participants are continuing to suffer operating losses due to severe competition. To solve this problem, the mobile shopping market requires research to improve customer satisfaction and customer loyalty rather than excessive competition. However, the existing studies have limits to reflect the direct needs of customers because they extract the factors on the basis of the Technology Acceptance Model and the literature study. In this study, to reflect the direct requirements of users of mobile shopping Apps, we derived concretely and various factors influencing customer satisfaction through a topic analysis using user reviews. And then we assessed the importance of derived factors to customer satisfaction and analyzed the effects of customer satisfaction on customer complaints and customer loyalty on a structural equation model based on the American customer satisfaction index. We expect that our framework linking a topic analysis and a structural equation model is to be applicable to studies on the customer satisfaction of other mobile services.

• Journal of Korean Academy of Nursing
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• v.54 no.1
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• pp.44-58
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• 2024

Purpose: This study aimed to apply a health partnership program using commercially available mobile health apps to improve cardiovascular risk factors in male employees and verify its effectiveness. Methods: Using a randomized control group pretest-posttest design, male employees with cardiovascular risk factors from five small and medium-sized workplaces were randomly assigned to an experimental group (n = 32) and a control group (n = 31). The experimental group was encouraged to use three mobile health apps for 12 weeks to acquire the necessary cardiovascular disease-related information and practice strengthening training, walking, and diet management appropriate to their level. They also received feedback on their weekly activities and motivational text messages from health partners. Hypotheses were tested using the SPSS WIN 22.0. Results: The experimental group showed a significant difference compared to the control group in terms of their perception of mobile health app (p < .05), self-efficacy for exercise and diet, self-management partnership, and cardiovascular disease prevention health behavior (p < .001). In particular, there were significant decreases in the body mass index, ratio, serum fasting blood sugar, total cholesterol, and triglyceride in the experimental group (p < .001); however, there was no significant difference in high-density lipoprotein-cholesterol. Conclusion: Intervention using mobile apps based on partnership with health managers is effective in improving the objective cardiovascular risk index in male employees; therefore, such intervention should be continuously used as a useful lifestyle modification strategy in the workplace.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.279-300
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• 2021

The present study aimed to investigate the information needs and information seeking behavior of consumers who attempted to quit or maintain the ceasing of smoking and analyze the effects of the health information obtained at different stages. In particular, we examined how consumers use mobile health applications(health apps) as aids to change unhealthy behaviors and how their use of health apps influence health behavior changes. For 7 months from December 2017 to July 2018, the researchers observed changes in smoking behaviors of college students who use smoking-cessation apps and conducted face-to-face interviews. Regarding the effects of smoking-cessation apps, the participants in the action stage reported that they were encouraged to quit smoking by visualized information such as the number of days of smoking cessation, change of health status, and the saving of money due to smoking cessation. The participants in the maintenance stage highlighted that smoking cessation apps were helpful in recognizing the importance and achievement of smoking cessation by sharing experiences and social support with other attempters in the app community. The study provided theoretical implications in the field of information behavior in that it identified the particular types of information needs and information-seeking behavior of the consumers who were using mobile apps in their behavior modification process. In addition, those findings can contribute to designing the contents of the smoking cessation apps that reflect the information needs of those who attempt to cease smoking and further suggest practical insights to health information services that promote effective information intervention strategies in health behavior change.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2153-2166
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• 2017

Web apps have a problem that they cause same data to be repetitively retrieved, processed, and displayed when web browsers load different web pages. To resolve the problem, this paper presents and evaluates a new method for restructuring of Java web apps. This approach dynamically analyzes Java web apps from the MVC (Model-View-Controller) architecture point of view and identifies redundant data by using the composite view pattern. Then the input apps are restructured in order not to load the redundant data when users make requests for new pages. This restructuring generates new web apps that conform to the MVC architecture and improve the performance of input web apps. The experimental results showed that when compared to legacy web apps, the restructured apps' response time was reduced on desktop PCs and mobile devices by 38% and 55%, respectively. In addition, case studies using open-source web apps showed the applicability of the proposed approach.

• Korea Journal of Hospital Management
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• v.26 no.1
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• pp.1-16
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• 2021

Purpose: The purpose of the study is to identify the influence of the hospital mobile app service quality on consumer satisfaction, involvement, and re-use intention of consumers who have experience in hospital mobile app service. Methodology: The survey was conducted on 230 users. The collected data were analyzed using correlation analysis, multiple regression analysis, and the Process Model in Hayes(2013). Findings: (1)The usability, reliability, and medical information provision among the service quality factors of hospital mobile apps had an effect on reuse intention, and consumer satisfaction partially mediated. (2)The usability and the provision of medical information were partially mediated by the involvement, which also affected the intention to reuse. (3)Only reliability showed an age-moderated effect. In reliability and re-use intent, age was a moderated mediating effect that controlled the effect of consumer satisfaction. Practical Implications: The results of this study provide initial data of mobile app services centered on hospitals and prove the type of consumer usage. It suggests that it can be used to attract potential consumers of hospitals and strategies to increase the use of mobile apps.

• 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.

• Information Systems Review
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• v.18 no.1
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• pp.125-140
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• 2016

Mobile applications (apps) play a significant role in the proliferation of smartphones. According to statistics from Apple, 100 million apps were downloaded in 2008. Since then, the number of cumulative app downloads have increased exponentially. By October 2014, 85 billion apps had been downloaded worldwide. Many studies have attempted to determine the factors that drive app downloads. However, unlike previous studies, we examine the effects of app updates on app rankings. To achieve this goal, we collected data on rankings (gross rankings and category rankings), update contents, reviewer ratings, and number of reviews on apps listed in the App Store. We then categorized app updates into functionality, reliability, and convenience updates following the buying hierarchy model. We found that functionality updates had a positive effect on app gross ranking whereas reliability updates had a positive effect on category ranking. Our study is the first to explore the effects of update content on app ranking. Moreover, our study provides a practical implication for mobile app developers, who should consider app updates in their product development strategy.

• Journal of Internet Computing and Services
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• v.14 no.4
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• pp.73-84
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• 2013

This study, based on flow theory and unified theory of acceptance and use of technology (UTAUT), examines various factors that influence the continuous use of mobile applications, particularly those providing users with satisfaction and pleasure as well as useful information. This study extends the previous studies that have been based on technology acceptance model, in which usefulness and ease of use are key determinants of use of new technology, by introducing flow theory in explaining the use of various technologies in mobile environment. For this purpose, this study employes a survey based field study and collects data from individuals who use fashion mobile apps since these are considered to provide fun and pleasures. This study finds that flow theory is a proper framework to understand the use of mobile technology, indicating flow experience is an important variable to determine the usage of fashion apps. In addition, performance expectation, effort expectation, social influence, and facilitation condition are found to be significant in influencing use of mobile apps, suggesting UTAUT still plays an important role in understanding the use of mobile technology.