• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.277-296
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• 2022

Despite the characteristics of public data with various potentials, few studies have been conducted on general users who lack an understanding of data as well as on expansion of the service uses. This study examined which digital-service-quality factors affect the intention to continue using public data services based on the expectation confirmation theory. As a result of the analysis, satisfaction partially mediated between expectation agreement and continued use intention for understandability and efficiency, which were combined as one factor, and completely mediated the relationship between perceived usefulness expectation agreement and continued use intention. It can be seen that the more the understanding and usefulness of the information provided by the service is satisfied, the higher the willingness to use it. Accordingly, it suggested adding an electronic bookmark function and the provision of online community for users to improve the overall quality of services. This study is significant in that it provided evidence on which part to focus on when designing electronic services from the point of view of general users.

• Journal of Information Technology Services
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• v.22 no.6
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• pp.17-35
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• 2023

This study investigated how helpful the use of generative AI such as ChatGPT is in conducting engaged learning at each university. In this study, based on the experiences of users using generative AI technology, we analyzed the relationship between usability and ease in consideration of the characteristics of learners, and examined whether there is an intention to continue using generative AI technology in the future. In this study, in order to verify the factors affecting the intention to use ChatGPT technology in order to solve the problems given in the participating classes, we examined previous papers based on the Technology Acceptance Model (TAM) and the Information System Success Model (IS), extracted the factors affecting the intention of ChatGPT technology, and presented the research model and hypothesis. Empirical research on the continuous use of generative AI in participatory learning using ChatGPT was conducted to determine whether it is suitable for long-term and continuous use in the educational environment, and whether it is sustainable by examining the intention of learners to continue using it. First, user satisfaction was positively related to the intention to continue using generative AI technology. Second, if the user experience has a great influence on the intention to continue using ChatGPT technology, and users gain experiences such as usefulness, interest, and effective response in the process of using the technology, the evaluation of the technology is positively formed and the intention to continue using it is high. Third, the ease of use of the technology also showed that it was intended to be used continuously when an environment was provided in which users could easily and conveniently utilize generative AI technology.

• Journal of Information Technology Services
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• v.23 no.3
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• pp.65-89
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• 2024

This study aims to enhance the continuous utilization of community mapping by structurally understanding the intentions behind its ongoing use and the impacts related to it, grounded in prior research. By analyzing existing community mapping cases through literature studies on community mapping, this research identifies the characteristics of community mapping that motivate its sustained use. Moreover, based on the Uses and Gratifications Theory and the Participatory Communication Model (PCM), this study proposes a research model to investigate the factors influencing the intention to continue using community mapping. Unlike previous studies, which primarily focused on developing and applying community mapping processes for case studies, this research not only develops and applies a community mapping process but also aims to apply the findings related to the intention of continued use in future community mapping activity processes for sustained engagement.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.27-38
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• 2008

Since the current mobile web market is already in its maturity, a research concerning the continued behavior of mobile Internet users should be carried out. The purpose of this research is to understand user's continued behaviors by theoretically constructing and empirically testing a continued model using real usage data. The model consists of four post-expectation factors (usefulness, ease of use, enjoyment, and perceived value) as well as user satisfaction, continuance intention, and the actual usage amount. To test the model, an on-line survey had been conducted, and we collected the actual usage data of survey respondents via the support of telecommunication companies. The study results indicate that post expectation variables were found to influence satisfaction, continuance intention, and actual usage amount of mobile web users. This paper ends with study limitations and implications on mobile web industry.

• Journal of Information Technology Applications and Management
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• v.16 no.1
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• pp.51-75
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• 2009

This paper develops an integrative model for IT continuance in the internet shopping environments by integrating the expectation-confirmation and the switching cost factors. Using this model, in addition, this study investigates their differential effects on the mediating variables, such as user satisfaction, commitment, and trust which have been identified as antecedents of users' IT continuance intention. Results show that the product and service-related expectation confirmation factors and the relational switching cost factor can have greater impacts on users continuance intention than the web site design factors, and the financial and procedural switching cost factors. In particular, it is interesting to note that relational switching cost can lead users to more commitment, which is revealed as the strongest antecedent of their continuance intention to use a certain shopping site.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.153-168
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• 2024

The purpose of this study was to verify the correlation between variables that affect the intention to continue using medical information service applications. Then, we established a research model based on ETPB and conducted an empirical study using PLS-SEM.According to the empirical analysis results, First, intimacy, prior knowledge, and cost saving were confirmed to have a significant impact on the TPB variables such as attitude, subjective norm, and perceived behavioral control. Second, it was confirmed that TPB variables had a significant impact on behavioral intention, and behavioral intention had a significant impact on continued use intention. Third, it was confirmed that familiarity, prior knowledge, and cost saving had a significant impact on the intention to continue use through the mediation of behavioral intention based on the perception shift of medical consumers. The significance of this study is that it empirically investigated the behavior of medical consumers by deriving the impact on their intention to continue using medical information service applications through their behavioral intentions.

• The Journal of Information Systems
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• v.17 no.2
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• pp.49-72
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• 2008

Today, the World Wide Web (WWW) impacts many facets of our lives, including communication, entertainment, social activities, shopping, etc. The web portal is the most accessed type of site and is advertising-supported the more users who visit the site, the more income it generates. User perception to a web site is very important much research has focused on the internet users' behavior. Some well-known theories, such as the technology acceptance model have been used to examine variables that motivate individuals to accept and use an IS. But Understanding continued use is the goal of this study. We focus on user beliefs (specifically, perceived usefulness) and attitude because pier studies of IT usage, predominantly based on the technology acceptance model (TAM) and similar models, have established these perceptions as the dey determinants of both initial IT usage (acceptance) and long-term usage (continuance) intention and behavior (Bhattacherjee 2001; Davis et al. 1989). Any change in beliefs or attitudes will likely have a corresponding impact on, and may even revers, users' continuance intention and behavior. Also, continuance use have some features which are prior use, habit, feature-centric view of technology. So this research reflected continuance use features. Examination of the paths in the model revealed several interesting results. First, Perceived usefulness was a stronger predictor of acceptance intention in TAM than attitude, But attitude was a stronger predictor of continuance intention in this study than perceive usefulness. Second, confirmation was not affect directly to attitude. Last, Habit was strongest predictor of continuance intention in this study.

• Journal of the Korea Safety Management & Science
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• v.26 no.2
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• pp.93-105
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• 2024

In this study, based on previous research on personal broadcasting, we indirectly measured content quality, YouTuber attributes, user satisfaction, and behavioral intention, which are latent variables that cannot be directly measured, as measurement variables, and then measured theoretically between the latent variables. In order to analyze the causal relationship, we used a structural equation model to determine to what extent the content quality of the YouTube mukbang channel and the YouTuber's attributes influence behavioral intentions such as purchase, recommendation, and continued use according to viewers' satisfaction with use. We intend to analyze and verify the relationship between related variables. The research results are as follows. First, the value, relevance, timeliness, completeness, and data quantity of content quality were found to have no significant impact on user satisfaction. Second, the trustworthiness, expertise, attractiveness, and intimacy of YouTuber attributes were found to have a significant impact on user satisfaction, but the similarity of YouTuber attributes did not have a significant impact on usage. Third, user satisfaction was found to have a significant impact on behavioral intentions and purchase intentions. However, user satisfaction was not found to have a direct significant impact on recommendation intentions or continued usage intentions.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.2
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• pp.199-223
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• 2024

This study presents book curation services as one of the ways to establish the social role and status of public libraries in a changing social environment. It aims to identify the quality factors that influence user satisfaction and the intention to continue using public library book curation services. For this purpose, the quality factors were limited to information quality through a literature review on curation services in libraries and various fields, from which specific factors were extracted. A questionnaire survey and statistical analysis were then conducted among public library users. The results showed that among the information quality factors, variety and interestingness affect user satisfaction, while discoverability and usefulness impact both user satisfaction and the intention to continue using the services. Based on these findings, we suggest that public libraries should offer book curation services that allow users to discover new information and select themes that are engaging and interesting, and provide information about various genres and types of books.

• Journal of Korea Technology Innovation Society
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• v.16 no.3
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• pp.784-808
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• 2013

The importance of the creation, diffusion and utilization of the knowledge and information has been magnified at the 21st century of knowledge and information society. If the utilization level of the web site of the national-level R&D information system is enhanced, the duplication of the researches as well as overlapped R&D investment could be greatly reduced. In this regards, this study aims to identify the factors which affect customer value and intention of continued usage for the national science & technology information services (NTIS & NDSL). The empirical research results show that information service quality have a significant influence on the continuous usage intention of science & technology information service. Customer value, as well, influence the continued usage intention as a mediating variable. In addition, the situational factors of information use by itself shows a significant effect on customer value, but it does not moderating the relationship between information service quality and customer value. After a description of research result, we discussed implications and limit of the study as well as future study direction.