• Journal of the Korea Society of Computer and Information
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• v.18 no.3
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• pp.69-77
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• 2013

This research validates the correlation between usability and functional attributes whilst comparing the degree of satisfaction of information framework used in museum mobile apps via usability evaluation in pre-visit setting. In cases of Bilbao Guggenheim and American Natural History Museum apps, the degree of satisfaction measured for information service, functional attributes, motivation for actual museum visit and during-visit usability of the apps were all highly evaluated. Such evaluation data indicates the increased usability of apps when mobile applications take user-friendly design that intuitively reflect users' interests and needs. After thorough analysis of correlation between usability and fictional attributes, data pointed to more meaning relationships existed in non-intrusiveness and personalization than other functional attributes. In conclusion, we were able to acknowledge the usability of museum mobile apps depends upon the interaction between content and functional attributes rather than entertainment factor and technology.

• Journal of Distribution Science
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• v.22 no.4
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• pp.91-104
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• 2024

Purpose: The study aims to assess the current status of domestic public food delivery apps and analyze the process through which sellers choose between private delivery apps and public delivery apps. This involves exploring strategiesto achieve the original purpose of public food delivery apps, which is to enhance the small business owners income and promote consumer welfare by preventing the monopoly of private food delivery apps. Research design, data and methodology: the research methodology is based on a model that introduces adjustments for non-economic effects, considering the preferences of multi-homing consumers, to more realistically reflect the benefits of sellers' choices. For data analysis, real business performance data from 'Daeguro', 'Meokkaebi', and 'Somunnan Shop' were used. Results: The study revealed that if the market share of public delivery apps within a specific region increases beyond a certain level, the benefits for small-business sellers also increase. This leads to the strategic advantage of simultaneously using both delivery apps. Furthermore, the results exhibit a tendency similar to real social phenomena. Conclusions: This analysis confirmed the role of public food delivery apps in the domestic delivery app market and presents policy recommendations, including application integration and the implementation of exclusive public interest functions, to effectively fulfill this role.

• International Journal of Contents
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• v.9 no.4
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• pp.35-44
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• 2013

This study tries to identify the determinants of user's attitude toward apps, intention to use and continual consuming intention. This study holds the two main constructs: (1) user's intrinsic determinants- value, innovativeness, gender, Well-being and superordinate influence - on the attitude toward mobile apps, (2) the relation between attitude and app purchase & repurchase intention, and the affecting factors among this relation. In the empirical test result, value, innovation and superordinate influence were identified to affect the attitude. All the relation among attitude, purchase and repurchase intention showed positive significant relationship. In addition, satisfaction intensified the relation between purchase and repurchase intention.

• Journal of Korea Multimedia Society
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• v.20 no.6
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• pp.935-949
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• 2017

The purpose of this study was to analyze the characteristics of virtual manipulatives apps that can be used to teach students struggling to learn mathematics. To achieve this goal, ten general characteristics of 23 virtual manipulatives apps were evaluated. The instructional, interface, and interactive design features of apps were also evaluated on five-point scale ratings of 18 items. In addition, SPSS frequency analysis and the correlation between each feature was analyzed. Frequently presented instructional contents among 23 virtual manipulatives apps were geometry, arithmetic operation, number concept and measurement. The frequently presented level of instructional contents was lower grade elementary school and kindergarten age. The frequently presented instructional type was the simulation. Regarding the design features, instructional design was rated as the highest (mean = 3.7); interactive design (mean = 3.6) and interface design (mean = 3.3) were also rated higher than neural. In addition, as the learning strategy was appropriately presented, it was evaluated that there was less screen linkage and content error.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.3
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• pp.643-653
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• 2018

Xamarin is a representative cross-platform development framework that allows developers to write mobile apps in C# for multiple mobile platforms, such as Android, iOS, or Windows Phone. Using Xamarin, mobile app developers can reuse existing C# code and share significant code across multiple platforms, reducing development time and maintenance costs. Meanwhile, malware authors can also use Xamarin to spread malicious apps on more platforms, minimizing the time and cost of malicious app creation. In order to cope with this problem, it is necessary to analyze and detect malware written with Xamarin. However, little studies have been conducted on static analysis methods of the apps written in Xamarin. In this paper, we examine the structure of Android apps written with Xamarin and propose a static analysis technique for the apps. We also demonstrate how to statically reverse-engineer apps that have been transformed using code obfuscation. Because the Android apps written with Xamarin consists of Java bytecode, C# based DLL libraries, and C/C++ based native libraries, we have studied static reverse engineering techniques for these different types of code.

• Journal of Distribution Science
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• v.21 no.3
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• pp.47-60
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• 2023

Purpose: During and after Covid-19 pandemic, technology has emerged as a key factor in supporting the recovery of the economy and the rise of living standards. This study examines seven factors affecting the intention of food delivery apps usage, which include Performance Expectancy, Effort Expectancy, Social Influence, Hedonic Motivation, Price Value, and Habit, and how much influence they have on the customers' behavioral continuance of food delivery apps after Covid-19 Pandemic. Research methodology: This research is a quantitative descriptive research with 473 qualified respondents from 550 respondents collected. Besides using the UTAUT2 model (Venkatesh et al., 2012), Information Quality was added to give a better explanation for the consumers' intention towards continuance behavior using food delivery apps. The collected data is then processed using SPSS 22.0. Results: Habit factors and Information Quality factors have significant positive effects on promoting food delivery apps usage intention, which in turn influences continuance behavior. In addition, Habit factors and Information Quality factors together have an effect of 48.57% on Behavioral Intention. Conclusion: The result proves that positive habits and food information quality can increase the usage intention towards the behavioral continuance of consumers. Higher usage frequency can be improved by increasing these two factors.

• Journal of Information Technology Services
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• v.15 no.2
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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.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.117-124
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• 2021

This study attempted to analyze the influence of mobile shopping motivation on the attributes and selection of beauty applications among consumers in their 20s, and the results found the following: First, mobile shopping motivation was classified into the categories of playfulness, convenience, and impulsiveness while beauty application attributes were divided into contents, community, and continuous management. Second, mobile shopping motivation was found to have a significant influence on selection of mobile beauty applications. Specifically, playfulness affected professional brands and beauty shopping mall apps, while impulsiveness revealed an effect on online shopping malls and beauty community apps. In addition, convenience showed an influence on TV home shopping apps. Third, mobile shopping motivation had a statistically significant effect on beauty application attributes. Specifically, playfulness, convenience, and impulsiveness revealed a statistically significant influence on contents, while playfulness also affected beauty communities. In addition, impulsiveness affected continuous management.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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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.

• The Journal of the Korea Contents Association
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• v.16 no.1
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• pp.329-341
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• 2016

With the introduction of smart phones in the late 2000's, the audio guides of museums have been gradually replaced by the mobile apps of smart phones. Although many studies have been already conducted about the mobile apps in the fields of tourism or finance, it is hard to find empirical research on the mobile docent apps. This study aimed to investigate the influence of the various factors of mobile docent apps on user satisfaction and intention to reuse. For this goal, based on the review of literature and the Technology Acceptance Model (TAM), a research model was constructed that consists of information timeliness, information service quality, ubiquitous access, and interactivity, along with the variables of TAM such as perceived ease of use, and perceived usefulness. A survey was conducted at Rodin museum in the United States where all the information about exhibitions is provided over a smart docent app. 210 surveys were collected, and 204 valid ones were used for analysis. The analysis using structural equation modeling revealed that information timeliness, information service quality, and interactivity have significant influence on perceived ease of use; ubiquitous access and interactivity showed significant impact on perceived usefulness. The perceived ease of use and usefulness then had significant impact on satisfaction and intention to re-use.