• Journal of the Korean Society of Costume
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• v.55 no.2 s.92
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• pp.105-115
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• 2005

The purposes of this study were to identify the service quality, quality of relationship, and relationship continuity intention of rental clothing store. Questionnaires developed by researcher were collected from 212 consumers who experienced rental clothing. Data was analysed by use of factor analysis, path analysis, and covariance structure analysis. The results were; 1. Factors of service quality of clothing rental store were tangibility & promotion, shop assistant & store atmosphere, customer empathy, customer reliability strategy, customer management, and customer convenience. And factors of relationship quality were satisfaction, trust, emotional involvement, and calculational involvement, and factors of relationship continuity intention were longitudinal relationship propensity & word-of-mouth and rerental intention. 2. Service quality of rental store affected significantly on relationship quality, and relationship quality affected significantly on relationship continuity intention. And service qualify of rental store affected significantly on relationship continuity intention through relationship qualify.

• Journal of Distribution Science
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• v.22 no.9
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• pp.107-117
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• 2024

Purpose: This research aims to contribute to the search for strategies on innovation in chatbot services in airline distribution industry. Personal and systemic characteristics of chatbot were derived together. The extended technology acceptance model theory was applied. The effects of perceived ease of use, usefulness, and intention to use chatbot from the user's perspective were empirically analyzed. Research design, data and methodology: Through an online survey, 309 people who have experience using chatbot services in airline distribution industry responded. AMOS 18.0 was used to analyze the data. Results: The hypothesis that personal characteristics will positively influence perceived ease and perceived usefulness was tested. Self-efficacy and user's innovativeness were shown have a significant effect on both perceived ease and perceived usefulness. System characteristics present a positive effect on perceived ease and perceived usefulness was tested. Consistency and familiarity were found to affect perceived ease and perceived usefulness. Perceived ease of use and perceived usefulness show a positive effect on intention to continue using chatbot service. Conclusions: When building an airline chatbot service in airline distribution industry, it is necessary to consider systematic characteristics, ease of use, and usability. It provided practical implications in that it have a significant impact on users' intention to use.

• The Journal of Information Systems
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• v.31 no.3
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• pp.131-152
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• 2022

Purpose The purpose of this study was to investigate the intention of using a news media platform using block chain through media company workers in a situation where various platform services using block chain are being newly released in the media industry. Therefore, in this paper, we intend to explore the development direction of the news media platform service using the block chain in the future by deriving implications through the characteristics of the block chain, user characteristics, and self-determination factors. Design/methodology/approach This study conducted a survey on the main characteristics of blockchain, user characteristics, self-determination, resistance to innovation, etc., and designed a research model by integrating factors on the continuity of intention to use the news media platform. Findings According to the empirical analysis result, in this study, it was confirmed that the intention to use the blockchain news media platform is significantly related to decentralization, which is a characteristic variable of the blockchain, perceived risk, which is a user characteristic variable, and competence and relationship, which is a self-determination variable. In addition, it was confirmed that it affects the perceived ease of use with respect to the intention to use. In addition, in this study, news writers write more careful articles as they cannot edit articles once written, which can contribute to improving the quality of news content.

• Korea Journal of Hospital Management
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• v.9 no.3
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• pp.1-17
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• 2004

This study is aimed to assess the general population's attitude toward the continuity of medical care and its related factors. Self administered questionnaire was performed on the 1,120 office workers in the C city, Gang-won province. The questionnaire included the attitude of the continuity of medical institute, the intention of medical service use on a given case, and the variables of the related factors. 58.8% of the total respondents agreed to sustaining treatment without changing medical institutes; on the other hand, 41.2% showed negative attitude. In case that a patient would gain a recommendation of a surgery, hospitalization, or a specific examination, the total respondents' 84.9%, 61.8%, and 50.8% of each recommended situation said that they would visit another doctor and gain a diagnosis. As a result of multiple logistic analysis of determinant factor on continuity, reliability of doctors was statistically significant factor. In order to reduce wastefully used medical resources and offer well-qualified medical service, a system of second opinion among peer group or beforehand agreement could be possibly adopted. In addition, improving the image and reliability of a doctor could be an important factor to make better the behavior of medical service shopping; therefore, an effort to improve the relationship between a doctor and a patient, and restore the reliability of doctors should be paralleled.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.77-88
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• 2022

In response to the significant COVID-19 outbreak, countries have enforced the use of E-learning systems as an alternative to traditional learning; to contain the virus and minimize the infection rate while maintaining the continuity of the learning experience. However, the effective adoption of E-learning systems requires a well-understanding of critical factors, especially in times of crisis. In this regard, this study intends to assess the success of the E-learning system adoption by Higher Education Institutions (HEIs) during the crisis of COVID-19 by utilizing the Information Systems Success (ISS) model. This study's adopted model consists of nine interdependent dimensions, namely: Technical System Quality, Information Quality, Service Quality, Learner Quality, Perceived Satisfaction, Perceived Usefulness, System Use, Intention to Use, and System Success. An electronic survey was distributed among higher education students from different universities in Saudi Arabia to explore each model's dimension. Structural Equation Modeling (SEM) has been applied via SmartPLS software to test the causal relationships between dimensions. This study's main results revealed that students' Service Quality, Learner Quality, and the Intention to Use by students are essential drives for E-learning System Use during the Covid-19 pandemic. Meanwhile, the Intention to Use the system is significantly influenced by Perceived Satisfaction and Perceived Usefulness dimensions. Further, Perceived Satisfaction, Perceived Usefulness, and System Use are interdependent, and all three have a significant positive impact on E-learning System Success.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.401-410
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• 2021

Since the outbreak of Corona 19, Universities and Lifelong Education Center's arts and sports classes are mainly conducted online. Unfortunately, even in dance where practical practice through face-to-face classes is important, the satisfaction of students is falling because of the limitations of online education. Therefore, it is necessary to measure the quality of education service they feel. In addition, since their academic departure is increasing, we intend to comprehensively study user satisfaction, continuous use intention, and academic continuity intention related to online education. This study confirmed the causal relationship between these 4 variables through exploratory factor analysis, reliability analysis, model fit and validity verification, and path analysis. As a result of the study, 3 out of 6 hypotheses were adopted, and the of education service quality had a positive effect on satisfaction and use in online dance education. But there was also a limit that did not affect the intention to continue the study. In order to solve fundamental problems such as academic departure, follow-up studies taking into account more diverse social variables are needed.

• Journal of the Korean Society of Systems Engineering
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• v.20 no.1
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• pp.1-15
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• 2024

This study attempted to analyze whether the government's regulatory innovation efforts affect the continued operation of new products and new service-based businesses, such as regulatory compliance and response efforts, despite the perception of regulatory difficulties as business barriers for firms in new industries. Previous studies on the impact of regulations on companies in new industries were a limit to obtaining implications for regulatory issues and characteristics of each field due to the simplification of regulatory indicators and the establishment of field integration. To compensate for this, this study focused on the field of AI and DATA services, and subdivided regulatory issues to indicate practical inconvenience as variables, and model fit and hypothesis verification were performed by applying Structural Equation Model analysis based on the survey results of related companies. As a result, in the field of AI and DATA services, "Perceived regulatory irrationality" and "Perceived government regulatory innovation efforts" significantly affect the "Regulatory environment satisfaction" of the regulated, and "Perceived regulatory irrationality" and "Regulatory environment satisfaction" affect "Regulatory response efforts for companies in new industries to continue their businesses." The significance of this study is that it conducted research on the factors affecting the continuity of business of companies in the AI and DATA service sector by linking the analysis of the impact relationship between satisfaction and continuous use intention, which have been mainly used in the "Policy Acceptance Model" and "IT service sector," to "efforts for companies to continue their business in a new industrial regulatory environment." In addition, by presenting a new empirical model for new industry regulations, it is expected to be meaningful as it can provide a research foundation that can obtain practical implications in related fields.