• Journal of the Korea Society of Computer and Information
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• v.16 no.1
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• pp.153-161
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• 2011

Focusing upon the post-adoption stage of IS, this study reasoned that IS users' personality is one of major influencing factors of continuous IS usage intention and empirically examined how the degree of continuous IS usage intention is variable according to the IS users' personality types classified based on MBTI(Myers Briggs Type Indicator). In order to validate the research model and hypotheses, this study made a field survey of 330 IS users and statistically analysed response data. The results of empirical analyses showed that the intent of continuous IS usage was affected by self-efficacy of IS; and self-efficacy by self-leadership of IS; and self-leadership by IS user' personality type and expectation confirmation. That is, it was found that IS users' personality type and three intervening variables(expectation confirmation, self-leadership and self-efficacy) were significant predictors of the intent of continuous IS usage. This study is thought to be contributive to providing the theoretical basis of finding IS success factors in the post-adoption stage and the practical guideline for effective personnel management relevant to IS implementation.

• Information Systems Review
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• v.25 no.3
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• pp.199-220
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• 2023

Projects to deploy and diffuse smart factories in South Korea are aimed at enhancing national manufacturing competitiveness. However, a significant portion of deployed companies remain at the basic stage and struggle to utilize smart factories regularly. Existing studies have primarily focused on the technical aspects of smart factories, using data analytics and case studies, leading to a gap in empirical research on continuous use and upgrade intentions. This study identifies key factors influencing smart factory usage and user satisfaction, drawing on the Information Systems Success Model (ISSM) and previous research. It empirically examines the impact of these factors on continuous use intention, management performance, and advancement acceptance intention through smart factory usage and user satisfaction. A structural equation model is employed to validate the research hypotheses, using survey data from 287 small and medium-sized manufacturing enterprises (SMEs) that have adopted smart factories. Results demonstrate that system quality, information quality, service quality, and government support significantly affect smart factory usage, while service quality and government support influence user satisfaction. Furthermore, smart factory usage and user satisfaction have positive effects on management performance, continuous use intention, and subsequently advancement acceptance intention. This study provides novel insights by demonstrating the specific impact mechanisms of smart factory user satisfaction on the business and the intentions of manufacturing SMEs regarding continuous use and advancement acceptance, leveraging the ISSM.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1081-1090
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• 2018

The study has been derived through the empirical analysis so as to find the Continuous Usage of Electronic Official Document 24 System. Total of 236 questionnaires were analysis to users who used or experienced the Electronic Official Document 24 System. As a result of the analysis First Accuracy, Convenience, and Security have a positive(+) effect on Ease of Use. However, Compatibility and Innovation were not effect on Ease of Use Second, Accuracy, Convenience, Security, and Innovation have a positive(+) effect on Perceived Usefulness. However, Compatibility was not effect on Perceived Usefulness. Third, Behavioral Costs have a positive(+) effect Continuous Intention and perceived ease of use positively affects perceived usefulness and Continuous Intention. Finally, perceived usefulness also has a positive effect on the Continuous Intention.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.644-655
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• 2020

The study examined differences between perceptions of AI speakers and intention to continuous use of AI speakers according to usage function. We divided usage patterns into single- and multi-function orientations based on the usage by different functions of audio content (music, news, and search), and analyzed the differences between perceptions of using AI speakers and the intention to continuous use. 335 men and women who had experience using AI speakers participated in an online survey. Results are as follows. First, men used AI speakers mainly for acquiring news, and the extent to which 20s and 40s acquire news was different. Second, perceptions of usefulness and ease of use were found to be higher in the multi-functional group(music-news-search). Last, regarding the intention to continuous use of AI speakers, the multi-functional group was highest, and users focusing on music listening were relatively higher than users for other functions. The findings of the study are expected to be used as foundational data for expanding the use of AI speakers and developing strategies for service provision in each AI speaker brand.

• Asia pacific journal of information systems
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• v.34 no.1
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• pp.351-371
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• 2024

This study aims to assess the impact of chatbot usability and demographics on continuous intention to use across different sectors. The research employed Braun's Bot Usability Scale (BUS11) to measure chatbot usability, focusing on accessibility, quality, conversation quality, privacy risk, and response time. A total of 187 participants completed a survey as part of this study. Variance-based SEM was utilized to examine relationships and test hypotheses. This study contributes to the ongoing discourse on chatbot adoption and user behaviour. It enhances the understanding of chatbot usability, highlighting the role of age in continued intention to use chatbots. The findings suggest that different age groups may possess specific preferences and expectations regarding chatbot usability. These differing preferences can influence their intention to continue using this technology. The study reveals that chatbot usability significantly impacts continuous intention to use and that age moderates the relationship between perceived conversation quality, information, privacy, security, and continuous intention to use. Based on the study's results, it is recommended that chatbot designers enhance usability to promote long-term adoption and usage.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2076-2082
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• 2017

Users of Smartphone in Korea are using the majority of the economically active population over 99% and experts have seen that they have reached saturation after the initial formation stages. The purpose of this study is to investigate the influencing factors of dominant design attributes on the intention of continuous use of Smartphone users. Predictor factors were selected perceived usefulness and perceived ease of use suggested on extended the technology acceptance model. The concept model was completed by selecting the dominant design attribute as a mediator. Participants of this study were 135 Smartphone users in Busan Gyeongnam and Iksan Jeonbuk province in accordance with convenience sampling. IBM SPSS Statistics 19 were employed for descriptive statistics, Smart PLS (partial least squares) was employed for confirmatory factor analysis and path analysis of casual relationship among variables. Therefore, when moderating mediated factor of dominant design and attitude, factor of continuous usage intention showed 76% explanatory power.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.277-289
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• 2023

The purpose of this study is to explore the mechanisms influencing consumers' continued intention to use live-streaming e-commerce for shopping, providing strategic recommendations for businesses to optimize live-streaming activities and enhance consumers' shopping experiences. In this paper, we innovatively integrate the UTAUT2 and ECM theoretical models to construct a comprehensive research framework. This framework not only thoroughly reveals the multi-dimensional variables that affect consumers' continuous usage intentions but also delves deeply into the interrelationships among these variables. We collected data extensively through surveys and utilized the Structural Equation Modeling and Bootstrapping methods for analysis. The research results indicate that performance expectation plays a crucial role in determining the continuous usage intention; satisfaction exerts a significant mediating effect between performance expectation and four other variables concerning continuous usage intention; and expectation confirmation stands out as the most prominent factor in enhancing satisfaction.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.121-134
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• 2018

Massive Open Online Course (MOOC) is online education that anyone can register for free and has internet access. MOOC is also called Education Revolution and is spreading rapidly all over the world. Although recent MOOC high-quality classes may enhance the value of MOOC, MOOC learning still needs much research. Since MOOC has low learning completion rate and continuous use rate, various studies on the reasons that learners give up at the beginning of learning have not been tried yet This research is studied for the continuous intention of use of MOOC applying self-determination theory and learning flow theory based on technology acceptance model. In particular, the research are conducted for cultural difference in continuous usage of MOOC between Korean and Chinese. The research results show that self-determination theory applying perceived autonomy, perceived competence, and perceived relatedness and learning flow is useful to explain continuous use of MOOC. The research also shows that Hofstede theory works well in explaining the cultural difference between Korea and China in continuous usage of MOOC. The result shows that korean is more influenced by perceived external motivation like perceived usefulness and chinese is more influenced by internal motivation like learning flow in continuous use of MOOC.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.41-57
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• 2013

As the usage of SNS has grown dramatically over the last years, it has been used in various sectors not just a tool for communication. In particular, corporate companies actively use Facebook as a tool for corporate marketing. Corporate companies communicate with their customers by providing service or events information. In this study, empirical analysis was carried out on corporate companies that are using Facebook as a marketing tool, thus finding out the influencing factors in continued usage of Facebook Fan Page users. In addition, analysis of the factors will be investigated according to continued usage of the users, where the user's intention will differ depending on how corporate companies operate and deal with the Facebook Fan Page. Factors affecting the user's satisfaction, perceived usefulness, and perceived playfulness were deducted through the analysis of the existing literature study on corporate company's continued intention on the usage of Facebook Fan Page. Accordingly, factor affecting this such as relationship, speed, content diversity, which are the media characteristics of the Facebook were deducted and finally hypothesized. In addition, the type of corporate company's Facebook Fan Page was divided into event type, communication type, information service type. And hence investigated the factors that differed from the continued usage depending on the type. Results analysis shows that perceived usefulness affected only relationship, speed, content diversity. Furthermore, analysis shows that corporate company's Fan Page of communication and event types are the factors that affect the usage intention which meant it only affected the perceived enjoyment. On the basis of this study, we are able to present an implication of value where corporate company use it as a marketing tool, through factors from continued usage of coroporate company's Facebook Fan Page users.

• The Journal of Information Systems
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• v.33 no.1
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• pp.91-114
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• 2024

Purpose The purpose of this study is to empirically investigate the factors that influence users' continuous intention to use ChatGPT based on the Expectation Confirmation Model(ECM). Drawing from the literature, this study identifies anthropomorphism and trust as key characteristics of generative AI and ChatGPT. Design/methodology/approach The research model was developed based on ECM and literature research to investigate the impacts of anthropomorphism and trust on continuous intention of using ChatGPT. In order to test the hypothese, a total of 193 questionnaires were collected and analyzed for the structural equation modeling with SmartPLS 4.0. Findings The study's findings show that all proposed hypotheses were supported, suggesting that the ECM is a valid framework for examining continuous intention of using ChatGPT. Moreover, the study stressed the crucial role of anthropomorphism in the model, showing the positive impact on expectation confirmation, perceived usefulness, and trust in ChatGPT. Also, trust positively affects perceived usefulness. These findings provide valuable insights for enhancing user satisfaction and continuous usage intention, serving as a foundation for development strategies for ChatGPT and similar AI-based systems.