• Asia-Pacific Journal of Business
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• v.11 no.4
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• pp.121-134
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• 2020

Purpose - The purpose of this study is to investigate consumer's satisfaction with the attractiveness, reliability, and professionalism that are characteristics of social influencers, and to investigate the impact of influencer characteristics on consumers' continuous use intention through satisfaction. Design/methodology/approach - A total of 293 questionnaires on independent samples were used for this study. Collected data were analyzed by SPSS 26.0 and AMOS 24.0 program and frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis and structural equation model analysis were performed. Findings - The findings demonstrated the followings: First, the attractiveness, reliability and professionalism of influencer had a positive effect on satisfaction. Second, the attractiveness and reliability of influencer had a positive effect on continuous use intention. However, professionalism did not have a significant impact. Third, user satisfaction with social media (channel of influence) had a positive effect on continuous use intention. Research implications or Originality - In doing so, this study was able to provide an in-depth understanding of the key characteristics of influencers and their roles, and contributed to ongoing research by providing suggestions for future studies.

• The Journal of Information Systems
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• v.31 no.1
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• pp.1-24
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• 2022

Purpose The purpose of this study is to investigate the factors that affect the user satisfaction and continuous use intention of the improved ATCIS in the Korean Army. Design/methodology/approach Based on the various theories in relation to IT continuance, user satisfaction was identified as the main factor with regard to the continuous use intention of the improved ATCIS. In addition, computer self-efficacy, education-training, and system quality were hypothesized as antecedent variables to user satisfaction, and information security stress was set as a moderating variable for these relationships. Findings Survey results show that computer self-efficacy, education and training, and system quality had a positive effect on user satisfaction, and information security stress was found to moderate these relationships. The effects of computer self-efficacy and education-training on user satisfaction were higher in the group with low information security stress. However, the relationship between system quality and user satisfaction was higher in the group with high information security stress. User satisfaction is found to have a positive effect on the continuous use intention even with habit considered as a control variable.

• Journal of Distribution Science
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• v.20 no.10
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• pp.105-117
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• 2022

Purpose: The digital healthcare business is rapidly growing due to the COVID-19 pandemic, and the medical service platform business based on smartphone apps is globally expanding. This study targeted medical information online to offline (O2O) platform users in the medical service field. It verified the effect relationship revealed in the continuous use intention of the platform with the mediation of platform quality components, namely perceived benefits, flow experience, and use satisfaction. Research design, data and methodology: Based on previous studies, three medical information O2O platform quality components, namely system quality, information quality, and service quality, were defined. And the questionnaire survey was carried out targeting 359 leading medical information O2O platform users in Korea. Results: As a result of the analysis, it was confirmed that system quality and service quality had a positive (+) effect on satisfaction and continuous use intention with the mediation of perceived benefits and flow experience. Meanwhile, information quality had a negative effect (-) on perceived benefits and flow experience and did not affect use satisfaction and continuous use intention. Conclusions: Consequently, it was ascertained that the system quality and service quality affecting user behavior and experience were more significant factors than information quality to medical information O2O platform users from the medical service aspect.

• Agribusiness and Information Management
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• v.11 no.2
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• pp.16-24
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• 2019

BRIS has been established by the Ministry of Agriculture, Food and Rural Affairs since 2011 under Article 21 of the Act on the Preservation, Management and Utilization of Agricultural Life Resources. It is an information service that provides information related to agricultural life resources in connection with the Rural Development Administration, the Forest Service, and Korea Seed & Variety Service, Agricultural Resources and Agricultural and Livestock Quarantine Headquarters. The purpose of this study is to evaluate how the users assess the information system quality (information quality, system quality) for the current Bio Resource Information Service (BRIS). Ultimately, the structural equation modeling analyzes the causal relationship between each variable and how it responds to the user's continuous use intention. As a result, information quality among information system quality and information quality among system quality used as the main variables for the evaluation of BRIS were statistically positively influenced by users' perceived usefulness, while system quality It has been analyzed to have a positive effect on the sustained use intention. The user's continuous use intention is positively influenced by the information system quality and perceived usefulness at a statistically significant level. Especially, the perceived usefulness plays a role in mediating the user's continuous use intention.

• The Journal of Information Systems
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• v.28 no.1
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• pp.17-39
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• 2019

Purpose The purpose of the present study is to analyze the factors influencing the intention to use direct bank continuously from the perspective of service rather than technology. Hygiene factors including economic benefits, privacy, and unverified risks, and convenience of service as a motivator were considered as user's satisfaction. A research model integrating the relationships among user's satisfaction, its determinants, social influence, and continuous intention to use direct banks was proposed. Design/methodology/approach Structural equation modelling for validating the research model was employed. 253 valid data were collected from users of direct bank service in South Korea and China, and used to test six hypotheses. Findings User's satisfaction and social influence were determinants of continuous use intention of direct bank. Convenience of service as a motivator has a significant influence on service satisfaction, while economic benefits, privacy, and unverified risks as hygiene factors have no significant influence on the continuous intention. Managers of direct banks need to implement service differentiation strategies to gain customers' loyalty. Also they seek to find the determinants of social influence. The present study confirmed that there is a big difference between Korea and China in terms of factors affecting the continuous intention to use direct bank.

• 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.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.1
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• pp.47-58
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• 2024

The serving robot is defined as a robot that carries cooked food to a customer table or collects and carries bowls after eating. This study presented a research model to find out the causal relationship between customer satisfaction and continuous use intention through the three factors of serving robot service quality. In addition, in order to empirically verify the above research model, a survey was conducted on customers using serving robots within the last 5 months. 300 copies were analyzed using SPSS 20 as the final analysis, excluding unfaithful responses. The main findings of this study are as follows. First, serving robot service quality (typical) found to have significant effect on customer satisfaction and continuous use intention. Second, it was found that serving robot service quality (reliability) had a significant effect on customer satisfaction and continuous use intention. Third, it was found that serving robot service quality (ease) did not significantly affect customer satisfaction and continuous use intention.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.301-306
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• 2008

The World Wide Web (WWW) has continued to grow at very rapid speed in both the sheer volume of traffic and size and the complexity of Web sites. Web Analytics Industry also has been growing rapidly. Web Analytics is to analyze web log files to discover accessing patterns of web pages. In this paper, we identify factors which can affect the continuous usage intention of a firm using services in web analytics services and empirically validate the relationships between the identified factors. For this purpose, we analyze 174 Korea firms. The analysis results show that the satisfaction is significantly associated with service quality and switching cost and the service usage period is not significantly associated with continuous service usage intention. We measure the service quality using SERVQUAL. It turn out that two dimensions of SERVQUAL, reliability and empathy are significantly associated with satisfaction, but another dimension of SERVQUAL, responsibility, is not. Finally, satisfaction is significantly associated with continuous service usage intention.

• The Journal of Information Systems
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• v.16 no.3
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• pp.133-159
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• 2007

The primary purpose of this study is to examine the effects of perceived characteristics on user satisfaction and continuous usage intention in personal communities. We developed a research model based on the literature reviews of personal communities, TAM, perceived risks, and satisfaction. The research model includes perceived playfulness, perceived ease of use, perceived usefulness, and perceived risk as perceived characteristics in personal communities. For validation of this theoretical model, we survey the users of 'Mini-hompy', one of the most popular personal communities in Korea. The research model was empirically verified by structural equation model analysis with data collected from 407 samples. Analysis of the results indicates that perceived ease of use is positively related perceived playfulness and perceived usefulness. Perceived playfulness, perceived ease of use, and perceived risks are significantly related to satisfaction. User's satisfaction has positive relationship with continuous usage intention in personal communities.

• Journal of Korea Artificial Intelligence Association
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• v.2 no.1
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• pp.15-24
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• 2024

This study is about the effect of chatbot service quality on customer satisfaction and continuous use intention. Data collection was conducted for 13 days from October 23 to November 5, 2023, and a survey was conducted on customers who have used chatbot services. A total of 572 questionnaires were targeted, of which 545 valid data were used for analysis, excluding those that responded insincerely or did not meet the purpose of the study. The analysis results of this study are as follows: First, chatbot service quality partially had a significant effect on satisfaction. Second, customer satisfaction had a significant effect on continuous use intention. Therefore, in order to have a positive impact on continuous use intention, it is necessary to focus on marketing strategies related to chatbot service quality. Also, research focusing on data analysis and performance evaluation is crucial for enhancing chatbot services, necessitating studies that address real-time changes. Through sophisticated data analysis and variable measurement, chatbot services can be effectively improved, leading to enhanced customer satisfaction.