• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.4
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• pp.161-171
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• 2011

Most public organizations which charge for measuring or collecting environmental information provide web-based information services. In the case of Seoul, it is provided smart phone app for information services on region or district unit. However, there is no smart phone application for environment information services considering location-based services with the concept of personalization. The purpose of this study is to deign and implement a smart phone app for air environment and radioactive information services with these features. Hybrid type is adopted, so that several things are possible: access to a variety of devices by web languages, and N-Screen support is available. According as social needs with respect to more environmental information and their contents are increasing, this approach will be useful.

• Asia pacific journal of information systems
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• v.34 no.1
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• pp.150-190
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• 2024

This article proposes a framework to elucidate the structural dynamics of the generative AI ecosystem. It also outlines the practical application of this proposed framework through illustrative policies, with a specific emphasis on the development of the Korean generative AI ecosystem and its implications of platform strategies at AI platform-squared. We propose a comprehensive classification scheme within generative AI ecosystems, including app builders, technology partners, app stores, foundational AI models operating as operating systems, cloud services, and chip manufacturers. The market competitiveness for both app builders and technology partners will be highly contingent on their ability to effectively navigate the customer decision journey (CDJ) while offering localized services that fill the gaps left by foundational models. The strategically important platform of platforms in the generative AI ecosystem (i.e., AI platform-squared) is constituted by app stores, foundational AIs as operating systems, and cloud services. A few companies, primarily in the U.S. and China, are projected to dominate this AI platform squared, and consequently, they are likely to become the primary targets of non-market strategies by diverse governments and communities. Korea still has chances in AI platform-squared, but the window of opportunities is narrowing. A cautious approach is necessary when considering potential regulations for domestic large AI models and platforms. Hastily importing foreign regulatory frameworks and non-market strategies, such as those from Europe, could overlook the essential hierarchical structure that our framework underscores. Our study suggests a clear strategic pathway for Korea to emerge as a generative AI powerhouse. As one of the few countries boasting significant companies within the foundational AI models (which need to collaborate with each other) and chip manufacturing sectors, it is vital for Korea to leverage its unique position and strategically penetrate the platform-squared segment-app stores, operating systems, and cloud services. Given the potential network effects and winner-takes-all dynamics in AI platform-squared, this endeavor is of immediate urgency. To facilitate this transition, it is recommended that the government implement promotional policies that strategically nurture these AI platform-squared, rather than restrict them through regulations and stakeholder pressures.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.310-316
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• 2022

The smart tourism service provides services such as travel planning and tour guides to tourists using key technologies of the 4th industrial revolution, such as the Internet of Things, communication infrastructure, big data, artificial intelligence, AR/VR, and drones. We are developing smart tourism services such as recommended travel products, my travel itinerary, tourism information, and chatbots for tourists through the smart tourism app. In this paper, we develop a smart tourism service system that provides real-time location-based tourism information and weather information to tourists. The smart tourism service system consists of a smart tourism app, a smart tourism information system, and an IoT data collection device. The smart tourism information system receives weather information from the IoT data collection device installed in the tourist destination. The location-based smart tourism service is provided as a smart tourism app in the smart tourism information system according to the Beacon's UUID in the IoT data collection device. The smart tourism information system stores the Beacon's UUIDs received from tourists and provides a safe hiking service for tourists.

• The Journal of Industrial Distribution & Business
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• v.10 no.9
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• pp.45-52
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• 2019

Purpose - This study examined the relationship between the priorities of information, usability, mobility, reliability and empathy, which are the lower dimensions of mobile tourism app service characteristics, on the perceived value and satisfaction of tourists. Research design, data, methodology - Data collection was conducted from June 10, 2019 to June 20, 2019, and a total of 500 questionnaires were distributed to collect 352 copies. Factor analysis, reliability verification, and covariance structure analysis were carried out using SPSS 23.0 and AMOS 23.0 for 321 parts for statistical analysis. Results - First, information, mobility, reliability, and empathy have a significant effect on perceived value. However, usefulness did not appear to have a significant effect on perceived value. This analysis results can increase the reliability of the tourism app, it can be seen that the accurate tourist information services are used in the tourist app or in the place required. Second, information, usability, mobility, and empathy had a significant effect on satisfaction. However, reliability did not have a significant effect on satisfaction. Third, perceived value had a significant effect on satisfaction. Fourth, it had a significant effect on information, empathy, and intention to use. However, the usefulness, mobility, and reliability did not have a significant effect on the behavioral intention. Lastly, perceived value and satisfaction had a significant effect on behavioral intention. Conclusions - The analysis result is that the tourism app that is being used is provided with a reliable and accurate tourism information service, it can be seen that you are using the tourism app in the place or on the go. Therefore, it is relatively difficult to use the tourism app, and it is easy to understand the contents of the service and timely information. Therefore, it is possible to communicate with other users and provide customized services according to needs and desires. The study has the following limitations. This may influence the progress of the research because the respondents' responses to the mobile tourism app service are from different experiences. In addition the accuracy of providing accurate information, the usefulness of using the mobile tourism app, and the ease of communicating with other users can be understood as being relatively satisfactory.

• Information Systems Review
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• v.18 no.3
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• pp.97-110
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• 2016

Real estate brokerage app service is an emerging online-to-offline (O2O) business model. This study analyze the relationship between the satisfaction and reuse of real estate app services through a survey of experienced users of the application. The results show that "ease of use" and "usefulness" of the online app service positively affect customer satisfaction and eventually affects reuse. Moreover, ease of use and usefulness of the offline brokerage introduced by the application positively affects customer satisfaction and eventually affects reuse too. One meaningful finding is the stronger impact of usefulness on customer satisfaction than that of ease of use in both online and offline situations. This finding implies that the value of usefulness is bigger than that of ease of use because of users who purposely use the application to find relevant real estates. The effect of online customer satisfaction on reuse is slightly higher than that of offline. This finding suggests that need to develop a strategy for online applications that focuses on enhancing the usefulness of real estate brokerage app services in the O2O market.

• The Journal of Information Systems
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• v.32 no.3
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• pp.225-251
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• 2023

Purpose The purpose of this study is to examine the future direction of in-vehicle app development and service, the relationship between potential customers' intention to use and the factors that affect it was explored. It was also checked whether the two types of app development platform and the experience of the existing smartphone app platform had a moderating effect on these relationships. Design/methodology/approach Data was gathered through surveys, collecting responses from 904 potential consumers of vehicle app services in Korea. Structural equation modeling was utilized to analyze the data. Findings According to the empirical analysis result, it was found that potential customers considered enjoyment as the most important benefit factor in in-vehicle app service, and the most important external factor affecting enjoyment was functional compatibility with smartphone. The type of vehicle app development platform did not have a meaningful moderating effect on the factor relationship, whereas the smartphone app platform experience showed a meaningful moderating effect on the relationship between factors. It was analyzed that the risk of app performance, personal information privacy, and driving safety data did not have a negative effect on the intention to use the vehicle app service.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.241-246
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• 2020

In this paper, we propose a user matching app based on hybrid app and a utilization plan to promote sports tourism in line with the growing trend of sports industry scale. The proposed app categorizes sports facilities across the country into regional, sports, private and public sports facilities to support reservations and matching. The proposed app applied a matching system in which matching scores were given according to the preference of events, places, and users by user net matching algorithm. Users can enjoy sports as a team or individual through the suggestion app even if they do not have any clubs or friends to which they belong. It can be used to improve tourism content services and establish tourism industry policies by analyzing data generated while using a user matching system.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.397-410
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• 2014

For mobile service organizations, it is one of the most important tasks to reflect users' opinions rapidly and accurately. In this study, the process is defined to elicit requirements of software/system improvement for mobile application by extracting and refining from users' opinion in mobile app, and detailed activities procession method in this processing are also proposed. The process consists of 3 activities to get requirements of software/system improvement for mobile app. First activity is to transform mobile app to software structure and define term dictionary. Second activity is to elicit simple sentences based on software from users' opinion and refine them. The last activity is to integrate and adjust refined requirements. To verify the usability and validity of the proposed process and the methods, the outputs of manual processing and semi-automated processing were compared. As a result, efficiency and improvement possibility of the process were confirmed through extraction ratio of requirements, comparison of execution time, and analysis of agreement ratio.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.5
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• pp.1209-1223
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• 2018

Android apps are made up of bytecode, so they are vulnerable to reverse engineering, and protection services are emerging that robustly repackage the app to compensate. Unlike cryptographic algorithms, the robustness of these protection services depends heavily on hiding the protection scheme. Therefore, there are few systematic discussions about the protection method even if destruction techniques of the protection service are various. And it is implemented according to the intuition of the developer. There is a need to discuss systematic protection schemes for robust security chains, rather than simple deployment of techniques disrupting static or dynamic analysis. In this paper, we analyze bangcle, a typical commercial Android app protection service, to examine the protection structure and vulnerable elements. We propose the requirements for robust structure and principles of protection structure.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.111-128
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• 2018

About 3.9 million apps and 24 primary categories can be approved on Apple iTunes Store. Making accurate categorization can potentially receive many benefits for developers, app stores, and users, such as improving discoverability and receiving long-term revenue. However, current categorization problems may cause usage inefficiency and confusion, especially for cross-attribution, etc. This study focused on evaluating the reliability of app categorization on Apple iTunes Store by using several rounds of inter-rater reliability statistics, locating categorization problems based on Machine Learning, and making more accurate suggestions about representative functionality stems for each primary category. A mixed methods research was performed and total 4905 popular apps were observed. The original categorization was proved to be substantial reliable but need further improvement. The representative functionality stems for each category were identified. This paper may provide some fusion research experience and methodological suggestions in categorization research field and improve app store's categorization in discoverability.