• Journal of Digital Convergence
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• v.13 no.4
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• pp.219-225
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• 2015

There has been an exponential growth in the distribution and possession of sensitive information because of the emergence of various information channels such as smart devices, social media, etc. This enables the internet based web or mobile service operation institutions collecting the more personal information with ease, and in turn causes the issues of the privacy concerns. Followings are the results of this study: First, the information privacy concern has the negative effects upon the trust. Second, the information privacy concern has the negative effects upon the provision intention of personal information and the trust has positive effects upon the offering intention of personal information. At last, the offering intention of the personal information has the positive effects upon the behavior to provide the personal information.

• The Journal of Information Systems
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• v.16 no.3
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• pp.21-44
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• 2007

Internet privacy is named as one of the major barriers to the expansion and further development of e-commerce. This study is to identify the antecedents to Internet privacy concerns, to investigate the relationship of the antecedents and the perceived trust and to validate Internet privacy's effect on the perceived trust. A conceptual model which identifies Internet literacy and perceived vulnerability as antecedents to Internet privacy concern is proposed and tested based on the sample of 276 Internet users. Empirical findings show that Internet literacy affect Internet privacy concern negatively while perceived vulnerability affect positively. Also perceived vulnerability's effect on and privacy concern's effect on perceived trust has both directional negative support. Implications and further research agenda are provided with the limitation of the study.

• Journal of Internet Computing and Services
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• v.12 no.5
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• pp.127-136
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• 2011

The current study aims to examine what determinants have influences on voluntary self-disclosure in the usage of micro-blogging. Even though the usages of micro-blogging have increased at an exponential rate in South Korea, it has been not well understood the process in which people voluntarily disclose their self-information. In this regard, we tried to examine self-disclosure process on micro-blogging based on Theory of Planned Behavior (TPB). For this purpose, attitudes towards self-disclosure, subjective norm, and perceived behavioral control were set as the antecedents to self-disclosure behavior. The influences of factors including privacy concern, playfulness, informational motivation for social participation, and relational motivation on the attitude were also investigated. The results of an online survey revealed that attitude toward self-disclosure, subjective norm, and perceived behavioral control anticipated the self-disclosure behavior at a statistically significant level. The attitude was not influenced by privacy concern, informational and relational motivation, but by playfulness. The implications of these results are also discussed.

• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.77-85
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• 2022

Unlike previous studies that focused on the diversity of YouTube content, this study tried to identify factors affecting users' satisfaction with the YouTube recommendation system. Specifically, by adding content preference suitability and privacy concerns to the technology acceptance model, we empirically analyzed how these variables affect user's satisfaction of the YouTube AI recommendation system. For this purpose, asurvey was conducted on college students in their 20s and 30s, and the main research results are as follows. First, in the respondents of this study, playfulness and usefulness, which are major variables of the technology acceptance model, appeared as significant factors affecting the satisfaction of the YouTube AI recommendation system, whereas the effect of ease to use was not found. Second, content preference suitability was found to affect the satisfaction with AI recommendation system, but privacy concerns did not affect the satisfaction with YouTube AI recommendation system. Based on these research results, the implications of the study and the directions for future studies were suggested.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.254-266
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• 2020

The purpose of this study is to analyze the influence of the type of recommender system on consumer's perceived benefit and privacy risk. The result showed that the perceived usefulness and intension to click was high in the order of Hybrid-filtering, Bestseller, and SNS-based system. Privacy concern was high in order of SNS-based system, Hybrid-filtering, and Bestseller. Moderating effects of perceived personalization on the type of recommender system and perceived usefulness were significant. Finally perceived usefulness had positive effect, and privacy concern had negative effect on consumer's intension to click. This study has significant implications for digital marketing bt comparing consumer responses according to the type of recommended service. The result of this study can be helpful for providing and developing future recommender service.

• Informatization Policy
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• v.30 no.2
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• pp.22-45
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• 2023

In research on the use of AI-based voice assistant services, problems related to the user's trust and privacy protection arising from the experience of service use are constantly being raised. The purpose of this study was to investigate empirically the effects of individual trust in AI and online privacy concerns on the continued use of AI-based voice assistants, specifically the impact of their interaction. In this study, question items were constructed based on previous studies, with an online survey conducted among 405 respondents. The effect of the user's trust in AI and privacy concerns on the adoption and continuous use intention of AI-based voice assistant services was analyzed using the Heckman selection model. As the main findings of the study, first, AI-based voice assistant service usage behavior was positively influenced by factors that promote technology acceptance, such as perceived usefulness, perceived ease of use, and social influence. Second, trust in AI had no statistically significant effect on AI-based voice assistant service usage behavior but had a positive effect on continuous use intention. Third, the privacy concern level was confirmed to have the effect of suppressing continuous use intention through interaction with trust in AI. These research results suggest the need to strengthen user experience through user opinion collection and action to improve trust in technology and alleviate users' concerns about privacy as governance for realizing digital government. When introducing artificial intelligence-based policy services, it is necessary to disclose transparently the scope of application of artificial intelligence technology through a public deliberation process, and the development of a system that can track and evaluate privacy issues ex-post and an algorithm that considers privacy protection is required.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.11a
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• pp.104-104
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• 2007

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.3
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• pp.837-852
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• 2016

This study examined the life-log related ICT in terms of both positive effects and adverse effects. As results, from the perspective of positive effects, experience of using life-log related ICT affects the usefulness of ICT, whereas usefulness of ICT affects satisfaction of ICT. From the perspective of adverse effects, experience of using life-log related ICT affects concern over privacy, whereas concern over privacy affects the awareness of the right to be forgotten. And, Internet privacy efficacy moderates the impact of experience of using life-log related ICT and the impact of concern over privacy.

• Informatization Policy
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• v.29 no.1
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• pp.60-83
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• 2022

The purpose of this study is to empirically analyze the effect of individual perception of artificial intelligence and the level of digital literacy on the acceptance of artificial intelligence-based public services. For empirical analysis, a research model was set up based on the technology acceptance model and planned behavior theory using survey data of 2017 and analyzed through structural equations. To summarize the results of the analysis, firstly, the positive perception of individuals about artificial intelligence technology plays a role in reinforcing attitudes toward benefits and reducing concerns about public service in which artificial intelligence technology has been introduced. Secondly, the level of digital literacy reinforces both benefits and concerns about artificial intelligence technology, but it was found that the intention to use public services was reinforced through the benefits of artificial intelligence technology perceived by individuals, rather than privacy concerns about artificial intelligence technology. Thirdly, it was confirmed that the perceived benefits of individuals on artificial intelligence technology reinforced the intention to use public civil services, and privacy concerns negatively influenced the intention to use. It was confirmed that the influence of a perceived ease of use and usefulness, as opposed to privacy concerns, further reinforces the intention to use. Both citizens' positive perceptions regarding the accuracy and reliability of information provided through artificial intelligence technology and institutional complementation of responsibility for errors caused by artificial intelligence technology are strengthened, and technical problems related to privacy protection are solved.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.194-204
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• 2019

The mobile payment app market has been expanding recently. However, the usage rate of mobile payment apps is not meeting service providers' expectations due to concerns about security and privacy. This study investigated how personal predisposition and how the security signals of the payment app affect users' perceived privacy and security risks, and how these factors ultimately affect the trust of mobile payment apps. The results showed that privacy concerns increase the risk of perceived personal information leaks and reduce perceived mobile system security, while familiarity, perceived reputation, and assurance seal reduce the risk of perceived personal information leaks and increase perceived mobile system security. Finally, it revealed that the reduced risk of perceived personal information leaks and the increased security of mobile systems had a positive impact on the reliability of mobile payment apps.