• 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.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.51-60
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• 2023

This study aims to examine factors influencing the intention to continue using the metaverse, focusing on the impact of social norms. Specifically, direct and indirect effects of technical characteristics (perceive quality, interactivity, perceived playfulness), user characteristics (self-efficacy, personal innovativeness), and social influence factors (descriptive norm, injunctive norm, subjective norm) on continuous use intention were examined. The role of perceived ease of use and perceived usefulness as a mediator was also examined. An online survey was conducted with 165 college students attending universities in two large cities in South Korea who had used the metaverse. As a result, perceived playfulness, descriptive norm, and perceived usefulness directly influenced continuous use intention. Perceived playfulness, interactivity, and subjective norm influenced continuous use intention indirectly through perceived usefulness. This study theoretically extends the Technology Acceptance Model by specifying social influence in metaverse contexts. Practical implications are provided in terms of marketing strategy for the metaverse industry to continue to grow and develop.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.209-229
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• 2021

Recently, the tourism industry faced a crisis due to COVID-19. Smart tourism that combines information and communication technology (ICT) is rapidly growing to overcome the crisis in the tourism industry. In order to revitalize the tourism industry after COVID-19, such as non-face-to-face and non-contact, smart tourism incorporating information and communication technology (ICT) is actively encouraged and promoted. The purpose of this study is to empirically verify how perceived pleasure, perceived awakening, and perceived domination, which are three important variables of emotional response theory, affect the intention to continue use through perceived usefulness, expectation, and satisfaction. The survey was conducted for two weeks from November 1 to 15, 2020. A total of 175 surveys were collected during the period and used for analysis. As a result of the study, first, perceived pleasure did not significantly affect perceived usefulness, expectation, satisfaction, and intention to continue use. Second, perceived awakening had a significant effect on expectations, but did not significantly affect perceived usefulness, satisfaction, and continued use intention. Third, perceived domination had a significant effect on perceived usefulness, expectation, and continued use intention. However, it did not significantly affect satisfaction. Fourth, perceived usefulness did not significantly affect satisfaction. Fifth, expectations had a significant effect on perceived usefulness and satisfaction. Sixth, satisfaction had a significant effect on the intention to continue use. Through this, companies and developers that provide online review content for aviation and hotels should know what part of the content is actually focused on and provide it to customers. In addition, content should be provided in consideration of the emotional aspects that aviation and hotel online review users feel while watching videos.

• The Journal of Information Systems
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• v.29 no.4
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• pp.153-169
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• 2020

Purpose Many students have concerned about the quality and operation of online courses with universities offering online courses to avoid the spread of COVID-19. To deepen our understanding of university online class systems, this research aims to assess students' satisfaction with online class systems and continuous usage intention on the basis of the perceived benefits and expectation confirmation theory. Design/methodology/approach This paper empirically analyzes the impact of each perceived benefit on user satisfaction and the intention to use it continuously by dividing the perceived benefits considered in existing literature into utilitarian benefits (convenience), emotional benefits (pleasure), and symbolic benefits (personal benefits). Moreover, the perceived expectations and performance have also been assessed with its impact on satisfaction and the intention to continue use. Data collected from 241 university students were empirically tested against a research model. Findings Analysis results showed that perceived advantages (comfort, enjoyment and personalized benefit) significantly affect user satisfaction and that perceived benefits have positive effects on the intention to continue use whereas the expected confirmation do not significantly influence on the intention to continue use.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.1
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• pp.93-113
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• 2022

Among Korea's content industries, the game industry is growing in size to the extent that it can be said to be a representative export-benefiting industry. Accordingly, many users are immersed in the game, and furthermore, they are addicted. This study aims to derive factors for social game users to continue to use by identifying the factors of domestic social network game users' attachment to social network games and empirically studying the causal relationship between these factors and the intention to continue to use them through immersion and addiction. To this end, a research model was presented that applies the main variables of the attachment theory of social network game users to games. The research model of this study surveyed general college students at S University in Seoul who tended to use social network games. As a result of the study, first, it was found that perceived stability had a significant effect on immersion and addiction. Second, it was found that perceived avoidance had a significant effect on immersion and did not have a significant effect on addiction. Third, perceived anxiety was found to have a significant effect on immersion, and it was found that it did not significantly affect addiction. Fourth, it was found that immersion did not significantly affect addiction, and it was found that it had a significant effect on continuous use intention. Fifth, addiction was found to have a significant effect on the intention to continue use. Through this, social network game users' attachment to games can provide useful implications for social network game companies to become attached to existing consumers, spreading social network game users, and improving the possibility of continuous use.

• 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.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.345-357
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• 2023

This research investigates the relationship between the information quality, service quality, and system quality of lodging apps and the users' expectations, level of satisfaction, and intent to continue using them. For this objective, 418 respondents participated in a survey. To evaluate the hypotheses, the collected data were examined using SPSS 22.0 and AMOS 22.0 statistical software. This study constructed a model using information quality, service quality, system quality, expectancy, satisfaction, and intention to continue using the pre- and post-use relationship of users of accommodation applications. The results of testing the hypotheses indicated that system quality had no significant effect on expectancy, system quality and service quality had no significant effect on satisfaction, and all other hypotheses had significant effects. The conclusion of this research is that the app's system quality, including access speed, access barriers, and privacy, does not satisfy pre- and post-use expectations. In addition, the system quality and service quality of the application have little effect on the app's satisfaction. The information quality of the application has a considerable impact on expectation confirmation and satisfaction, expectation confirmation has an impact on satisfaction, and expectation confirmation and satisfaction have an impact on intention to continue using.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.187-194
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• 2023

Recently, a lot of discussions are underway in the field of introducing new technologies about the rapidly growing metaverse. However, the degree of acceptance of metaverse users at the beginning of the introduction is different from expectations, so research should be conducted for the continuous use of current real users and service success. In this study, we would like to investigate the relationship between four experience factors according to Metaverse's experiential economy theory, and perceived value and intention to continue use. A survey was conducted on metaverse real-life veterans, and 177 questionnaires were finally analyzed. The collected data were empirically analyzed using SPSS 25.0 and AMOS 21.0. As a result; First, it was found that all the experience factors of the metaverse had a positive effect on the perceived value. Second, all of the experience factors of metaverse were found to have a positive effect on the intention to continue use. Third, perceived value was found to have a positive effect on the intention to continue use. Based on the analysis results, the implications and limitations of this study were presented. Based on the analysis results, metaverse should provide and develop various experience factors differentiated from reality to users. In addition, providing an experience environment and value that metaverse users can perceive will increase users' intention to continue using it.

• The Journal of Economics, Marketing and Management
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• v.11 no.6
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• pp.43-55
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• 2023

Purpose: The purpose of this study was to identify the relationship between smart factory utilization and continued use intention between UTAUT, dynamic capabilities of smart factory construction companies and present the company's strategic direction. Research design, data, and methodology: In this study, a structured research model was derived to confirm the relationship between UTAUT, dynamic capabilities, smart factory utilization and continued use intention and the difference according to Technology perception. For analysis a total of 223 valid questionnaires from e-commerce users were used. Confirmatory factor analysis, correlation analysis, and structural equations were conducted to verify. Results: Both UTAUT, dynamic capabilities had a significant effect on smart factory utilization as well as continued use intention. It was found that the relationship between UTAUT, dynamic capabilities, smart factory utilization, and continued use intention. differed depending on the technology perception. Conclusions: Organizational members utilize the smart factory in anticipation of effects such as work performance and various improvements. Smart factory data will be used continuously when it is useful for business processes and operations. It is necessary to establish strategies and provide training to improve the technical level and capabilities of organizational members. Through this, a strategy is needed that can be continuously used by utilizing the information obtained through smart factory to improve work efficiency, productivity and efficiency increase is needed

• Journal of Information Technology Services
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• v.10 no.1
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• pp.73-88
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• 2011

Continuous usages of Internet Protocol Television(IPTV) is regarded as one of key factors for IPTV success. Quality improvement and increasing user satisfaction are generally contributed to intention to continue using of innovation technology. We classify the quality constructs into information quality, service quality, system quality, and experience quality and find how these constructs affect on user satisfaction and intention to continue using of IPTV. We perform factor analysis to IPTV users by developing a causal relationship model and defining measurement variables for the constructs. Through regression analysis, we found information quality and experience quality are significant to affect on intention to continue using of IPTV.