• 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.

• Knowledge Management Research
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• v.22 no.2
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• pp.33-53
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• 2021

Use of mobile apps being extended, privacy concern on the side of the users is increased while they are willing to provide the private information to use the apps. In this study, we tried to identify the motivating elements that influence the users' intention to use the apps, based on the tendency towards regulatory focus and the privacy calculus theory. To verify the study model, we collected data from 151 adults who use health apps throughout the country, and analyzed the data using the PLS-SEM method. According to the result of the study, it was turned out that tendency towards promotion focus had negative impact on privacy concern and privacy danger, and tendency towards prevention focus had positive impact on privacy concern. Privacy concern had negative impact on the intention to use the mobile apps, and privacy benefit and privacy knowledge had positive impact on the intention to use the mobile apps. Finally, the intention to use the mobile apps had positive impact on the intention to continue to use the mobile apps. In this study, we identified different impacts of two types of tendency towards regulatory focus on privacy concern, and identified different influences on the intention to use the mobile apps accordingly.

• 한국IT서비스학회:학술대회논문집
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• 2005.11a
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• pp.419-426
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• 2005

유비쿼터스 헬스케어 환경이 가져다 줄 핑크빛 미래가 화두가 되고 있는데 반해 서비스 이용 주체인 사용자에 대한 사회과학적 연구는 부족한 형편이며, 언제 어디서나 네트워크에 접속되는 환경이 초래할 프라이버시 및 보안 위협에 대한 우려 또한 증대되고 있어 대책 마련을 위한 분석과 이행이 시급한 시점이다. 이에 본 연구는 정보기술 수용 및 인간행위에 관한 다양한 선행연구 고찰을 통해 유비쿼터스 헬스케어 서비스를 이용하는데 영향을 미치는 요인들을 규명하고 이들간의 관계를 실증적으로 검증하였다. 특히, 지각된 위험이라는 변수를 통해 보안과 프라이버시 문제 등에 대한 우려를 측정하여 지각된 위험이 서비스 이용의도에 미치는 영향을 조사하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.2
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• pp.501-522
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• 2016

In the digital era, information is a source of value creation. However, the growing importance of knowledge and information also increases risks and threats. When information is leaked, full recovery is difficult, and additional spreading of risk is high because it is easy to accomplish. Especially personal information is the main target due to its availability. Although individuals normally have to consent to the use of their personal information, they often do not know the use of their information. In such a difficult situation, one must exercise self-determination and privacy. Therefore, the goal of this study is to development a privacy literacy level measurement model for the proper exercise of the right to informational self-determination. It will be presented with the concept of privacy literacy index in order to determine the level of knowledge and understanding and practical application skills for individual. Through the index, we going to enhance the selection ability of information subject, and to promote the judgement and the determination capability for the protection and utilization of personal information.

• Information Systems Review
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• v.25 no.1
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• pp.165-187
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• 2023

The continuous increase in life expectancy and high interest in health has brought about significant changes in the use of health information by the public according to the development of information technology represented by the Internet and smartphones. As the medical market expands to the mobile health environment, many health-related apps have been created and distributed, but the acceptance rate is slow as it has become challenging to provide services due to various regulations. In this study, perceived value, perceived risk factors (psychological risk, risk of time-loss, legal risk), and perceived benefits (usefulness, interaction, autonomy) were derived and verified as factors that affect the acceptance resistance of personal health record apps based on the privacy calculation model. In addition, by analyzing the moderating effect of trust in the manufacturer, how the perceived risk and perceived benefit affect the perceived value was verified. A survey was conducted on Korean college students who recognized the personal health record apps but did not use them, and 127 samples were analyzed using structural equations. As a result of hypothesis verification, perceived value has a negative effect on acceptance resistance, perceived risk (risk of time-loss) has a negative effect on perceived value, and perceived benefits (usefulness, interaction, autonomy) were found to have a positive effect on perceived value. Trust in manufacturers has weakened the impact of perceived risks (legal risk) on perceived values. This study is expected to play an important role in maintaining a competitive advantage in the personal health record app market environment by identifying and proposing detailed criteria for reducing the acceptance resistance of personal health record apps.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.181-189
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• 2024

The purpose of this study is to investigate the role of interaction privacy management behavior (Use of IPCs), which has received relatively little attention. To this end, this study proposes an integrated model that theorizes the relationship between the main variables of the privacy calculation model and interaction privacy management behavior. Empirical analysis of this model shows that the use of IPCs lowers risks, increases benefits, and in turn promotes increased self-disclosure. These results have implications for expanding the theoretical logic of the privacy calculation model because users' self-disclosure includes not only the limited exposure proposed in the model but also unrestricted exposure through the use of IPC.

• The Journal of Bigdata
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• v.9 no.1
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• pp.17-30
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• 2024

This study categorizes the factors that affect the intention to continue using ChatGPT into positive motivational factors (personalization, social influence) and negative motivational factors (privacy concern, perceived risk) and investigates whether they affect the intention to continue using ChatGPT through information trust, performance expectancy, and effort expectancy. To this end, a survey was conducted among 265 adults in their 20s and above who have used ChatGPT service. The results showed that personalization and social influence had a defining effect on information trust, performance expectancy, and effort expectancy. For privacy concern, we found a negative effect of wealth on performance expectations, but not on effort expectations. Perceived risk had a negative effect on performance expectancy and effort expectancy. In addition, information trust, performance expectancy, and effort expectancy have a defining effect on continuance intention. This study extends the scope of existing research that focuses on positive factors, deepens our the understanding of ChatGPT. It also provides useful suggestions for continued use of ChatGPT.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.171-178
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• 2023

As the risk of privacy invasion due to self-disclosure increases in SNS environment, many studies have tried to discover the influencing factors of self-disclosure. This study is an extension of this research stream and pays attention to the role of interaction privacy controls(friend list and privacy settings) as a new influencing factor. Specifically, the study theorizes and test the logic that the ability to effectively control interactions between individuals using IPC(called IPC usefulness) satisfies the three psychological needs(autonomy, relationship, and competency needs) suggested by the Self-Determination Theory, and in turn increase the amount of self-disclosure. As a result of data analysis, it was found that IPC usefulness has a very strong influence on the satisfaction of psychological needs and is a major factor in increasing the degree of self-disclosure by users. Based on these findings, the study discusses the theoretical and practical implications as well as future research directions.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.131-134
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• 2011

스마트 폰의 사용이 증가하고, 광고, 개인정보를 QRCode에 삽입하여 제공하는 서비스 기술이 이슈가 되면서 프라이버시 침해의 위험 발생이 높아지고 있다. 본 연구는 개인정보 공개등급에 따른 서비스 제공을 위한 스마트폰 환경에서의 규칙기반 컨텍스트 모델링을 제안한다. 제안하는 모델은 스마트 폰 상에서 QRCode 스캔 시, 정보 주체자의 공개등급을 고려하여 등급별 서비스를 제공한다. 사용자는 스마트폰을 통해 QRCode를 스캔한 사용자이다. 공개등급은 개인정보를 사용자에게 보여주는 것에 대한 접근 권한이다. 컨텍스트 모델은 데이터로부터 컨텍스트를 추상화하고, 규칙을 정의하여 QRCode 사용자의 프로파일 정보를 토대로 특정인의 프라이버시 정보를 사용자의 등급에 따라 제공한다. 제안하는 방법은 오프라인 상에서의 학회 정보 서비스 도메인에 적용하여 본 시스템의 정확성을 증명한다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.217-219
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• 2004

전자문서교환(EDI, Electronic Data Interchange)은 기업과 기업 간에 컴퓨터와 컴퓨터의 통신을 통하여 필요한 거래문서를 구조화된 형식으로 교환하여 업무를 처리하는 방식을 말한다. 이러한 전자문서의 유통은 절러 위험요소로부터 완전히 해방되지는 못한다. 본 연구에서는 향후 국내에서 발생 될 위협요소 중 우선적인 보호가 요구되는 것으로 메시지 노출로 인한 프라이버시 침해 및 중요 내용의 노출문제와 메시지 수정 문제 및 발신처 인증 문제. 그리고 수신자의 수신사실에 대한 부인을 위험요소로 선정하였다. 또한, 이를 막기 위한 보안서비스를 메시지 비밀보장. 무결성, 메시지 발신처 인증 및 수신내용 부인불능 등을 선정하여 이들의 구현방안을 제시하였다.