• 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.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.3C
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• pp.167-175
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• 2005

Privacy enforcement has been one of the most important problems in IT area. Privacy protection can be achieved by enforcing privacy policies within an organization's online and offline data processing systems. Traditional security models are more or less inappropriate for enforcing basic privacy requirements, such as purpose binding. This paper proposes a new approach in which a privacy control model is derived from integration of an existing security model. To this, we use an extended role-based access control model for existing security mechanism, in which this model provides context-based access control by combining RBAC and domain-type enforcement. For implementation of privacy control model we use GRBAC(Generalized Role-Based Access Control), which is expressive enough to deal with privacy preference. And small hospital model is considered for application of this model.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.131-134
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• 2014

The Internet allows firms to serve customers more effectively than ever before. In the B2C context, we examine the interrelationships among information privacy concerns, e-trust, and e-loyalty. The authors extend prior research by incorporating constructs of information privacy concerns into a more holistic conceptual framework. This study answers three research questions: Will the three components of information privacy concerns have a significant effect on e-loyalty through e-trust?, Does e-trust mediate e-loyalty?, Finally, do switching costs have a moderation effect between e-trust and e-loyalty?, The authors examine data from customers who have booked hotel accommodations online. The results support our hypotheses and confirm both the mediation role of e-trust and the moderation role of switching costs. Conceptually, this study provides an empirical validation of information privacy concerns, e-trust, and loyalty linkage. On the managerial level, this research provides insights into critical drivers of loyalty in the emerging online marketplace.

• Asia pacific journal of information systems
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• v.16 no.4
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• pp.49-70
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• 2006

In recent, Open markets are booming up rapidly. Open markets are one of the online marketplaces which mainly concentrated on spot transactions of commodities, and are differentiated from integrated internet shopping stores with market participants, trading rules and so on. This study investigated on factors affecting satisfaction with and preference on open markets by comparing open markets with integrated internet shopping stores, and aimed to figure out the reasons why open markets are growing up so rapidly and to forecast the future of open markets. To investigate the factors affecting buyers' satisfaction with and preference on internet shopping channel. I extracted several factors through literature reviews. The factors include the pros (cost saving and time saving), the cons (security concerns and privacy concerns), and decision making support suggested by Simon's research as well. Then, I constructed research model and related research hypotheses. To verify research hypotheses, I conducted field survey targeting on online buyers and analyzed research data using structural equation model. According to data analysis result, open markets have competitive advantages over integrated internet shopping stores with respect to cost saving, time saving, and decision making support. However, online buyers are still concerning privacy issues within open markets. In summary, buyers are considering that open markets are cheaper, faster, and more efficient internet shopping channel, compared with integrated internet shopping stores. However, open markets are required to dedicate to lessen buyers' privacy concerns to rebirth as more satisfying and preferable internet shopping channel and to prosper in the future.

• 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.

• Journal of Korean Library and Information Science Society
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• v.43 no.3
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• pp.353-384
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• 2012

This study was conducted on the observation that the filter bubble and privacy violation problems are related to the personalized services provided by libraries. This study discussed whether there is the possibility for invasion of privacy when libraries provide services utilizing state-of-the-art technology, such as location-based services, context aware services, RFID-based services, Cloud Services, and book recommendation services. In addition, this study discussed the following three aspects: whether or not users give up their right to privacy when they provide personal information for online services, whether or not there are discussions about users' privacy in domestic libraries, and what kind of risks the filter bubble problem can cause library users and what are possible solutions. This study represents early-stage research on library privacy in Korea, and can be used as basic data for privacy research.

• Asia pacific journal of information systems
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• v.32 no.1
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• pp.32-50
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• 2022

Technology acceptance is one of the most popular research areas. Rapid developments in technology are making human life more comfortable. However, still most of the rural area has been deprived of benefits of technological advancement. Seventy percent population of India resides in rural area. Leveraging the improved penetration of the internet; mobile friendly population in rural India has been increasingly shopping online in the last few years. e-Governance is one of the important vehicles to provide efficient services to the citizens by Governments. One major obstacle is acceptance of e-Governance platforms by the citizens. Considering the increasing trend of using e-Commerce in rural area, this paper attempts to investigate moderating effect of online shopping experience on intention to use e-Governance portals. We surveyed 365 villagers across Maharashtra: one of the leading states in India. The result confirmed online shopping experience moderates the relationship between: 'perceived security & privacy' and 'attitude'; 'perceived security & privacy' and 'intention to use'; 'Perceived usefulness' and 'attitude'; and, 'attitude' and 'intention to use'. In this study definition of moderating variable 'experience' is unique and different than most of the popular studies. We defined experience as: 'prior use of any application of technology similar to the target application of technology'. Whereas prior studies considered experience as prior experience with target application of the technology.

• Journal of Internet Computing and Services
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• v.15 no.2
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• pp.59-71
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• 2014

This study applied customer perspective to find out ways how to protect customers' privacy by themselves. It does so by examining the factors which affect customer privacy protection behaviors. Based on the Privacy Act, this study developed the construct of Privacy Rights awareness and finds the law's effect on privacy awareness and behavioral change. The study finds that there exists a significant difference in privacy protection behavior according to privacy rights awareness. Independent variables are as follows: Five variables (Perceived vulnerability, Perceived severity, Perceived response effectiveness, Perceived barriers, Privacy Rights awareness) were tested as critical variables influencing Behavioral Intention in PMT model. Privacy awareness had a moderating effect on the relationship between perceived severity and privacy protection behavior. This study would contribute on theoretical expansion of Protection Motivation Theory and also provide practical implications for effective ways to promote behavioral changes.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.57-69
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• 2013

Progresses in ICT make the processing and exchange of personal data across international borders often necessary and relatively easy. The challenge lies in protecting fundamental rights and freedoms of individuals, notably the right to privacy and the right to personal information, while encouraging the free and secure flow of information across borders for the continued expansion of online transactions. The key to establishing a functioning international solution for personal data protection is to strike a right balance between the two camps which currently dominate the debate - the advocates of individual privacy rights on one side exemplified by the EU, and the proponents of self-regulation and economic efficiency on the other, represented by the U.S. In the face of a growing tension between the two sides each equipped with their own ideals, a practical solution may lie in utilizing established institutions of standardization such as ISO and IEC as a ground upon which an agreement can take its root.

• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.231-240
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• 2018

Recently, personal information processing are becoming more important in the behavioral advertising based on online and mobile platform. The behavioral advertising analyzes and utilizes individual's search & purchase history, hobbies, and tendency based on the personal behavior information collected using the automatic collection device. Therefore, it collects and stores other types of personal information which did't defined in Privacy Act and can analyze personal behavior. This characteristics may cause disclosure of personal information and exposure to intrusion. In this paper, we investigate and analyze the privacy policy of the advertising agencies, and discussded the measures to be taken in collecting, storing and using personal information suitable for behavior information.