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

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.6
• /
• pp.3199-3218
• /
• 2019

Location-based services (LBSs) have become popular in recent years due to the ever-increasing usage of smart mobile devices and mobile applications through networks. Although LBS application provides great benefits to mobile users, it also raises a sever privacy concern of users due to the untrusted service providers. In the lack of privacy enhancing mechanisms, most applications of the LBS may discourage the user's acceptance of location services in general, and endanger the user's privacy in particular. Therefore, it is a great interest to discuss on the recent privacy-preserving mechanisms in LBSs. Many existing location-privacy protection-mechanisms (LPPMs) make great efforts to increase the attacker's uncertainty on the user's actual whereabouts by generating a multiple of fake-locations together with user's actual positions. In this survey, we present a study and analysis of existing LPPMs and the state-of-art privacy measures in service quality aware LBS applications. We first study the general architecture of privacy qualification system for LBSs by surveying the existing framework and outlining its main feature components. We then give an overview of the basic privacy requirements to be considered in the design and evaluation of LPPMs. Furthermore, we discuss the classification and countermeasure solutions of existing LPPMs for mitigating the current LBS privacy protection challenges. These classifications include anonymization, obfuscation, and an encryption-based technique, as well as the combination of them is called a hybrid mechanism. Finally, we discuss several open issues and research challenges based on the latest progresses for on-going LBS and location privacy research.

• Journal of Distribution Science
• /
• v.18 no.8
• /
• pp.75-87
• /
• 2020

Purpose: This study uses the protection motivation theory and information processing theory to discuss the high number of fraud phenomenon in Indonesia which causes worries to the internet users. The second problem is the large amount of information transparency in e-commerce which actually hinders the users in making decisions so it causes a negative behavior pattern, namely discontinue usage intention. Design/methodology: Therefore, this research hopes to provide insight to the online or e-commerce business community, especially for Tokopedia, to develop its business from understanding the factors influencing consumer attitude when shopping online. The sample are students from Universitas Indonesia, Institut Teknologi Bandung, Institut Pertanian Bogor, Universitas Gadjah Mada and Institut Teknologi Surabaya, with total 900 respondents. Result: The results of this research indicate that ubiquitous connectivity (UC) variable significantly affects variables such as the privacy concern (PC), information transparency (IT) and information overload (IO). PC and IO variables also significantly affect Discontinue Usage Intention (DUI). Conclusion: This study gives a new perspective that despite the phenomenon, the millennial generation especially are not entirely concerned about the privacy concern, however, this study clearly shows that the privacy issue in the digital word continues to be something that needs to be cared for.

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

• The Journal of Society for e-Business Studies
• /
• v.20 no.1
• /
• pp.45-59
• /
• 2015

As many companies have been interested in big data, they have invested a lot of resources to get more customer data. Some companies try to trade the data illegally. In order to collect more customer data, companies provide various incentive programs to customers. However, their results are normally much less than their expectations. This study focuses on exploring the relative importance of the factors which influence customer attitudes to providing his/her personal information. This study conducts a conjoint analysis to assess trade-offs among the five influential factors-monetary reward, concern for data collection, concern for secondary use, concern for unauthorized use, and concern for errors. This study finds that the customer attitude to providing personal information is most influenced by the concern for secondary use. Furthermore, it shows that there are some differences between the light internet user group and the heavy internet user group in the relative importances of these factors. The monetary rewards appeal to the heavy internet users, rather than the light internet users.

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

• The Journal of the Korea Contents Association
• /
• v.21 no.4
• /
• pp.193-204
• /
• 2021

Based on risk-benefit theory, this study examined a structural equation model accounting for the mechanisms through which affective perceptions of AI predicting individuals' support for the government's Ai policies. Four perceived characteristics of AI (i.e., usefulness, entertainment value, privacy concern, threat of human replacement) were investigated in relation to perceived benefits/risks, attitudes toward AI, and AI policy support, based on a nationwide sample of South Korea (N=352). The hypothesized model was well supported by the data: Perceived usefulness was a strong predictor of perceived benefit, which in turn predicted attitude and support. Perceived benefit and attitude played significant roles as mediators. Perceived entertainment value along with perceived usefulness and privacy concern predicted attitude, not perceived benefit. Neither attitude nor support was significantly associated with perceived risk which was predicted by privacy concern. Theoretical and practical implications of the results are discussed.

• Journal of Information Technology Applications and Management
• /
• v.28 no.6
• /
• pp.145-161
• /
• 2021

Recently, as personal information utilization devices such as IoT, artificial intelligence, and wearable devices that focus on the individual have spread, privacy violations are also increasing. However, the privacy paradox of providing personal information to enjoy services while worrying is getting stronger. However, there are still preliminary studies on this. In this study, an intelligent home camera based on IoT technology was selected as a research object, and whether privacy paradox exists in the IoT environment, including smart home camera, was studied. To this end, the effect of perceived usefulness, a benefit factor of smart home camera use, and privacy concern, a risk factor, on intention to use was verified. In addition, it was investigated whether the relationship between privacy concerns and intention to use differs according to the presence or absence of use experience. In order to verify the research model, a survey was conducted with people with and without experience in using smart home cameras, and a total of 298 data samples were used for statistical analysis. As a result of the analysis, it was found that both perceived usefulness and privacy concerns had a positive effect on the intention to use, proving that privacy paradox exists in the IoT-based smart home camera environment. In addition, by analyzing the fact that privacy concerns have different effects on usage intentions depending on the user experience, it was verified that those with experience have a strong privacy paradox and those without experience have a weak privacy paradox. This study is meaningful because it seeks strategic implications to improve service and business performance by understanding the relationship between privacy attitudes and behaviors of IoT service providers, including smart home cameras.

• Journal of Digital Convergence
• /
• v.13 no.6
• /
• pp.1-12
• /
• 2015

In recent years, the privacy concern for mobile consumers is emerging as the use of mobile application(apps) is growing according to the rapid spread of mobile devices such as smart phones and tablet PCs. To improve privacy protections in the mobile communications and apps, overseas organizations are announcing guidelines and/or checklists for stake holders. Although personal information protection guidelines for application developers have been prepared in the country, efforts to improve consumer privacy capability is insufficient. Thus, in this paper we first scope the app privacy related guidelines in both domestic and foreign affairs, then present the risk factors of privacy invasion by the stage of mobile application use based on the "Privacy Protection Act", offering privacy checklists for consumers. This checklist will enhance the self-management capability of consumer privacy and create virtuous cycle in the mobile ecosystem.

• Informatization Policy
• /
• v.21 no.2
• /
• pp.49-66
• /
• 2014

In the last few years, cloud computing has grown from being a promising business concept to one of the fast growing segments of the IT industry. However, as more and more information on individuals and companies are placed in the cloud, concerns on just how safe the computing environment is have gradually increased. In this study, it will be explored if key characteristics of cloud computing services would affect the behavioral intention to use public cloud computing services. A conceptual model is developed and seven research hypotheses are proposed for empirical testing. The proposed model is examined through structural equation analysis. The results show that perceived risk has statistically significant effect on the privacy concern of users and the privacy concern has a negative influence on the trust. Finally, the trust has a positive effect on the attitude and the attitude has statistically significant effect on use intention. Implications of these findings are discussed for both researchers and practitioners and future research issues are raised as well.