• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.9
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• pp.267-276
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• 2016

There has been active discussions on informational view among various privacy perspectives because of Internet usage. Social science research has largely discussed determinants of information privacy concerns (IPC) and its behavioral outcomes. However, the focus of studies was limited to company's practices and existing studies have not reported consistent results. In addition, the relationship between demographic characteristics of user and IPC has not been discussed enough. In this study, we re-investigate the relationship between users' demographic characteristics and IPC with data from a large sample provided by the Korea Information Society Development Institute (KISDI). The results showed that educational background and income level have effects on IPC in line with existing studies. But the effects of gender and age had different impact on IPC compared to previous studies. This study has implications in enabling generalization of empirical findings and confirming the results of previous studies.

• Asia pacific journal of information systems
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• v.25 no.2
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• pp.289-305
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• 2015

The dramatic growth of social networking sites (SNS) has created a myriad of privacy concerns. Our study focuses on how much monetary incentive SNS users are willing to accept in exchange for disclosing their SNS information by accepting friend requests. First, we focused on information privacy in SNS, and estimated the value of information privacy by using the contingent valuation method. Second, we attempted to estimate how SNS users' willingness to accept would change when demographic information and additional information vary. Privacy-sensitive SNS users have the following characteristics: higher education, less SNS experience, and higher security consciousness. On the contrary, those who make good use of SNS and use open-based SNS are less sensitive to privacy. In summary, privacy-sensitive SNS users are fearful or uneasy when they have insufficient control of SNS information. Considering 14 conditions on the value of information privacy on SNS, the mean value of SNS information per person is 173,957 won. If we apply this value to Facebook users, the total Facebook information value would be 1.91 trillion won, considering that there are 11 million users in Korea.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.253-258
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• 2021

In this study, we explored consumers' the privacy attitudes and Internet activities on the expectations of the fourth industrial revolution. Furthermore, we examined the moderating effect of Internet activities between the privacy attitudes and the expectations of the fourth industrial revolution. Research data are 2018 Korea media panel survey provided by Korea Information Society Development Institute. As a result, concerns about privacy were negative on the expectations of the fourth industrial revolution. Consumer's internet activities had a positive effect on the expectations of the fourth industrial revolution. Concerns about privacy have a negative effect on the expectations of the fourth industrial revolution, but active internet activities have mitigated it or turned it into a positive. This study will contribute as basic data for more active responses in the economic structure facing the 4th industrial revolution.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.5
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• pp.259-271
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• 2010

It is inevitable that personal privacy will be one of the most significant pressure points for most of the 2000s. Information privacy has been called one of the most important ethical issues in information age. It has become apparent that organizational practices, individuals' perceptions of these practices, and societal responses are very closely related in many ways. However, unfortunately, researches attempting to develop and validate an instrument that identifies and measures the primary dimensions of individuals' concerns about organizational information privacy practices were scarce. Based on a number of preliminary studies, this study tried to develop and validate an Korean organization oriented measurement instrument. This instrument is expected to be used as useful guide lines for the managers who are responsible for IT/IS ethical issues.

• Information Systems Review
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• v.18 no.3
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• pp.185-207
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• 2016

This study investigated the relationship between privacy policy awareness and willingness to provide personal information. Online privacy policies published on the Internet aim to build the trust of consumers and reduce their concerns about the provision of providing personal information. This study uses FIP(FIP; Fair Information Practices) principles to measure awareness of privacy policy. The result of the survey indicates significant relationships among awareness of privacy policy of e-commerce websites, privacy trust, and privacy risk. Privacy policy aims to improve transparency of collection and use of personal information. A high level of privacy trust is related to a high level of willingness to provide personal information on an e-commerce website. A low level of privacy risk is related to a high level of willingness to provide personal information on an e-commerce website. This study found that disposition to trust moderates the relationship between privacy policy awareness and privacy trust. This study contributes to further research on the relationships among privacy policy awareness, privacy trust, and privacy risk. The result of this study can be used by companies that aim to build privacy trust and reduce privacy risk.

• 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.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.207-216
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• 2024

As big data was built due to the 4th Industrial Revolution, personalized services increased rapidly. As a result, the amount of personal information collected from online services has increased, and concerns about users' personal information leakage and privacy infringement have increased. Online service providers provide privacy policies to address concerns about privacy infringement of users, but privacy policies are often misused due to the long and complex problem that it is difficult for users to directly identify risk items. Therefore, there is a need for a method that can automatically check whether the privacy policy is safe. However, the safety verification technique of the conventional blacklist and machine learning-based privacy policy has a problem that is difficult to expand or has low accessibility. In this paper, to solve the problem, we propose a safety verification technique for the privacy policy using the GPT-3.5 API, which is a generative artificial intelligence. Classification work can be performed evenin a new environment, and it shows the possibility that the general public without expertise can easily inspect the privacy policy. In the experiment, how accurately the blacklist-based privacy policy and the GPT-based privacy policy classify safe and unsafe sentences and the time spent on classification was measured. According to the experimental results, the proposed technique showed 10.34% higher accuracy on average than the conventional blacklist-based sentence safety verification technique.

• International Commerce and Information Review
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• v.1 no.2
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• pp.249-271
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• 1999

This article deals with concept and theory of privacy and personal data on the basis of understanding of this matter, Especially concerns the infringement and protection of privacy and personal data that is violated by new media and electronic commercial transaction through case study and research of literature. The article seek to find out the resolution of legal problems on the protection of privacy and personal data. The resolution is in other words, that privacy and personal data protection law shall be established as a part of efforts to protect personal data and to activate electronic commercial transactions.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.43-55
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• 2021

The amount of Big Data generated from multiple sources is continuously increasing. Traditional storage methods lack the capacity for such massive amounts of data. Consequently, most organizations have shifted to the use of cloud storage as an alternative option to store Big Data. Despite the significant developments in cloud storage, it still faces many challenges, such as privacy and security concerns. This paper discusses Big Data, its challenges, and different classifications of security and privacy challenges. Furthermore, it proposes a new classification of Big Data security and privacy challenges and offers some perspectives to provide solutions to these challenges.

• 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.