• Information Systems Review
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• v.23 no.4
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• pp.183-198
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• 2021

Due to the Covid-19 pandemic, the home-training app market is growing rapidly and numerous apps are entering the market. It is becoming more difficult for an app to secure the profitability. In this study, by analyzing actual user data of a reward-based home-training app, we propose a model that predicts cash-cow users of the app. Cash-cow users are the users who watch in-stream ads to watch training videos although they cannot earn any rewards by doing so. Thus, these users make profits for the app yet do not incur any costs. The results of this study show that the users who irregularly watch training videos are more likely to be cash-cow users than the users who regularly watch training videos. This result suggests that, paradoxically, for sustainable profitability, home-training apps may need to find a way to retain the users who watch training videos irregularly so that they can be satisfied with the service and continue use the apps.

• The Journal of Information Systems
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• v.29 no.4
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• pp.137-151
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• 2020

Purpose Domestic asset management fintech companies are expected to grow by leaps and bounds along with the implementation of the "Data bills." Contrary to the market fever, however, academic research is insufficient. Therefore, we want to analyze user reviews of asset management fintech companies that are expected to grow significantly in the future to derive strengths and complementary points of services that have been provided, and analyze key elements of asset management fintech companies. Design/methodology/approach To analyze large amounts of review text data, this study applied text mining techniques. Bank Salad and Toss, domestic asset management application services, were selected for the study. To get the data, app reviews were crawled in the online app store and preprocessed using natural language processing techniques. Topic Modeling and Aspect-Sentiment Analysis were used as analysis methods. Findings According to the analysis results, this study was able to derive the elements that asset management fintech companies should have. As a result of Topic Modeling, 7 topics were derived from Bank Salad and Toss respectively. As a result, topics related to function and usage and topics on stability and marketing were extracted. Sentiment Analysis showed that users responded positively to function-related topics, but negatively to usage-related topics and stability topics. Through this, we were able to extract the key elements needed for asset management fintech companies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3723-3737
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• 2022

Google Play is one of the largest Android phone app markets and it contains both free and paid apps. It provides a variety of categories for every target user who has different needs and purposes. The customer's rate every product based on their experience of apps and based on the average rating the position of an app in these arch varies. Fraudulent behaviors emerge in those apps which incorporate search rank maltreatment and malware proliferation. To distinguish the fraudulent behavior, a novel framework is structured that finds and uses follows left behind by fraudsters, to identify both malware and applications exposed to the search rank fraud method. This strategy correlates survey exercises and remarkably joins identified review relations with semantic and behavioral signals produced from Google Play application information, to distinguish dubious applications. The proposed model accomplishes 90% precision in grouping gathered informational indexes of malware, fakes, and authentic apps. It finds many fraudulent applications that right now avoid Google Bouncers recognition technology. It also helped the discovery of fake reviews using the reviewer relationship amount of reviews which are forced as positive reviews for each reviewed Google play the android app.

• Journal of Information Technology Applications and Management
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• v.18 no.4
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• pp.183-202
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• 2011

Since smart phones are changing the media for communication and its related mobile market, it is imperative to attract more application developers for success in application store business in order to attract more app users. By using aspects of the commitment marketing theory and the relationship marketing theory, this research study identified factors that influence on the relational commitment of application developers to the market. Survey of application developers from Korean mobile application developers' community was conducted to test the hypothesized model. The empirical results showed from an economic behavioral perspective market demand for applications and perceived usefulness of development tool led to relational commitment of developers mediated by perceived satisfaction while attractiveness of alternatives had no significant effect. In addition, fairness of review process and interactivity, based on the relationship marketing theory perspective, showed significant effect on the relational commitment of developers mediated by trust for application market.

• Journal of Multimedia Information System
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• v.8 no.1
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• pp.17-22
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• 2021

This paper proposes a wearable user interface intended for kids and parents using WearOS smartwatches. We first review what constitutes a kids smartwatch and then design UI components for watchfaces to be used by kids and parents. Different UI components ranging from activity, education, voice search, app usage, video, location, health, and quick dial are described. These components are either implemented as complications or on watchfaces and may require on-device standalone function, cross-device communication, and external database. We introduce a theme-based amusing UI for kids whereas simple and easily accessible components are recommended to parents' watchface. To illustrate use cases, we present 3 scenarios for enhancing communication between parents and child. To show feasibility and potential of our approach, we implement our proof-of-concept using commercial smartwatches, smartphones, and external cloud database. Furthermore, performance of checking app usages on different devices are presented, followed by discussion on limitations and future work.

• Korean Management Science Review
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• v.30 no.3
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• pp.33-54
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• 2013

The purpose of this study is to examine the relationships between Product Quality (Popularity, Playfulness) and Information Quality (Informativeness, Reliability), System Quality (Ease of Use, Security), Trust and Continuance Intention in Smart Phone Application Market. To identify these affecting relationships, the secondary data or past studies were collected and theoretically arranged. I made the theoretical proposed model to explain the relationships between the constructs, identify the operational definitions and 13 Hypotheses were established, there was executed the survey of 250 customers of Smart Phone Application Market. Using the collected data, previous performances to confirm the construct validity and internal consistency by Cronbach's a was executed and Partial Least Square Analysis to confirm the hypotheses in proposed model was conducted using the Smart-PLS Software. As the result of test that make the relations of used variables clear, we can get the conclusion as followings; First, Product Popularity has the positive effect on Informativeness, except reliability of Information. Second, it was significantly tested the effect on the Ease of use and Security by Product Playfulness. Third, Informativeness and Ease of Use, Security of App Store have the significantly positive effects on the Users' Trust directly. From the empirical test, I suggest the strategic advices in App Store Companies. To increase the Users' Continuance Intention or Loyalty, it would be developed that a variety of methods and ways to raise the Product Popularity and Playfulness, Informativeness, Ease of Use and Security of App Store. It is necessary for sticking the Users to raise the positive trust building and Continuance Intention.

• PNF and Movement
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• v.18 no.3
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• pp.365-373
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• 2020

Purpose: The COVID-19 pandemic has changed how healthcare is delivered worldwide and has affected the environment of the healthcare. Physical therapy in traditional healthcare systems can be difficult in unusual circumstances, such as the COVID-19 pandemic. Tele-physical therapy, defined as "the delivery of the physical therapy at a distance using electronic information and telecommunication technologies," will be a solution for this healthcare crisis. Thus, in this study, we proposed a mobile application for tele-physical therapy. Methods: This study used the Chrome Browser version 83.0.4 based on the Windows 10 64Bit operating system to use the App Inventor. To operate the mobile application, we used the Samsung Galaxy Note 9. The design of the mobile application was based on the review of a system used in the physical therapy department. Results: The graphical user interface (GUI) of the mobile application was displayed on three screens: selecting a painful joint (1st screen of the GUI); selecting a painful movement of the joint (2nd screen of the GUI); a self-manual therapy method and movie (3rd screen of the GUI). The proposed mobile application showed the stable repeatability of the self-manual therapy movie. Conclusion: The results of this study demonstrated that the proposed mobile application using the App Inventor for android will be able to create easy to use and reliable tele-physical therapy.

• Information Systems Review
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• v.25 no.2
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• pp.1-30
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• 2023

This study analyzes and examines the travel behavior of Chinese people in Korea through a questionnaire survey of Chinese people who are long-term residents in Korea using Xiaohongshu App (RED). In this study, we add some variables to the MTEs (Memorable Tourism Experiences) model to analyze the travel behavior of Chinese people who are in Korea for a long period of time. We also chose to survey the users of Xiaohongshu App (RED), a popular software in recent years, and found the following findings in 240 valid questionnaires: (1) Scenery, Entertainment, and Informativeness have positive effects on people sharing travel experiences, while interaction does not. (2) Sharing travel experiences had a positive effect on travel satisfaction and the intention to go to other destinations, and travel satisfaction had a positive effect on the intention to go to other destinations. This paper extends the literature on tourism by combining MTEs and UGC (User-Generated Content) models, and also provides relevant suggestions for further research on the travel behavior of foreigners in Korea.

• Journal of Information Technology Services
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• v.22 no.3
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• pp.141-165
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• 2023

With the advent of the fourth industrial revolution, technologies such as the Internet of Things, artificial intelligence and cloud computing are developing rapidly, and smart homes enabled by these technologies are rapidly gaining popularity. To gain a competitive advantage in the global market, companies must understand the differences in consumer needs in different countries and cultures and develop corresponding business strategies. Therefore, this study conducts a comparative analysis of consumer reviews of smart homes in South Korea and China. This study collected online reviews of SmartThings, ThinQ, Msmarthom, and MiHome, the four most commonly used smart home apps in Korea and China. The collected review data is divided into satisfied reviews and dissatisfied reviews according to the ratings, and topics are extracted for each review dataset using LDA topic modeling. Next, the extracted topics are classified according to five evaluation factors of Perceived Usefulness, Reachability, Interoperability,Trustness, and Product Brand proposed by previous studies. Then, by comparing the importance of each evaluation factor in the two datasets of satisfaction and dissatisfaction, we find out the factors that affect consumer satisfaction and dissatisfaction, and compare the differences between users in Korea and China. We found Trustness and Reachability are very important factors. Finally, through language network analysis, the relationship between dissatisfied factors is analyzed from a more microscopic level, and improvement plans are proposed to the companies according to the analysis results.

• Journal of the Korea Society of Computer and Information
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• v.21 no.12
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• pp.219-226
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• 2016

In this paper, we propose an efficient repository model for online software education. The software education of app development consists of 7 stages: coding & debugging, submit, collaboration, review, validate, deployment, certification. Proposed repository model supports all 7 stages efficiently. In the coding & debugging stage, the students repeat coding and debugging of source. In the submit stage, the output of previous process such as source codes, project, and videos, are uploaded to repository server. In the collaboration stage, other students or experts can optimize or upgrade version of source code, project, and videos stored in the repository. In the review stage, mentors can review and send feedbacks to students. In the validate stage, the specialists validate the source code, project, and the videos. In the deployment stage, the verified source code, project, and videos are deployed. In the certification stage, the source code, project, and the videos are evaluated to issue the certificate.