• Journal of Digital Convergence
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• v.13 no.9
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• pp.105-114
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• 2015

This study aims 1) to identify distinctive consumer groups according to their perception of benefits and costs of Online Behavioral Advertising(OBA), 2) to explore differences among them, and 3) to investigate antecedent variables that affect the consumers' perception of OBA. Online survey data collected from 1,000 online users. The findings of this study are as follows. First, the result of cluster analysis identified four distinctive consumer groups according to the levels of perceived benefits and costs of OBA: 'Indifferent group', 'cost-centered group', 'benefit-centered group', and 'Benefit-cost balanced group'. Second, four consumer groups showed differences in their demographics, advertising related variables, privacy related variables, and technology related variables. Third, according to multinomial logistic analysis, it was found that there were different factors affecting consumers' perception of benefits and costs of OBA.

• Journal of Multimedia Information System
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• v.9 no.3
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• pp.201-208
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• 2022

Customized service is a vital and mandatory element for apps in improving their technical performance and app customer analysis. While apps require users' consent for their data extraction and usage, many of the terms and agreement forms are written intricately, making it harder for users to fully understand the whole concept of users' data collection for customized services. Ever since the Facebook-Cambridge Analytica scandal, personal data privacy has been re-examined, forcing many app companies to reinforce a reliable solution to data privacy issues. However, there has not been a secured solution, which worries many people about the future advanced issues when metaverse platforms are actively used in daily apps. The research aims to collect the reactions and behaviors of everyday app users who utilize apps with customized services to understand the nature of privacy data issues and the users' opinions about the future implementation of metaverse platforms. The method of the research was an online questionnaire that targeted university students. The study revealed many fearful and anxious reactions about personal data and further metaverse issues where most app users were uneducated about how current apps collect and utilize users' private data.

• Korea Trade Review
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• v.45 no.6
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• pp.77-97
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• 2020

This study investigates the effects of O2O-based mobile shopping application (O2O MSA)'s information and service quality on the user's perceived privacy protection, satisfaction and loyalty. In this study, 969 questionnaire reponses were collected, out of which 555 were used to estimate the structural paths using PLS-SEM (partial least square structural equation model) for the hypothesis test. Our empirical findings are drawn from Chinese respondents that live in a 1-line city in China and use O2O MSAs serviced by China's leading companies. This study examines and confirms that qualified information and service of O2O MSA positively affect both perceived privacy protection and customer satisfaction, which finally leads to customer behavioral loyalty through the perceived privacy protection. Further, this study presents effective practical implications for application development strategy suitable for users in the O2O-based mobile shopping industry.

• ETRI Journal
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• v.40 no.1
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• pp.146-155
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• 2018

This study aimed to examine predictors of the intention to protect personal information on Facebook. We conducted an online survey of 679 Facebook users in the Republic of Korea. The findings of this study showed that usefulness and ease of use had significant effects on attitudes toward protection behavior. The results also revealed that risk factors (privacy risk severity and vulnerability) had significant effects on protective behaviors. Based on our findings, we discussed the information protection of privacy on Facebook.

• International Journal of Costume and Fashion
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• v.12 no.2
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• pp.1-14
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• 2012

To date most of the research concerning e-service quality in the context of online apparel settings has had a female or a generalized for gender and age focus. To expand the scope of understanding of online consumers, this study focuses on the key dimensions of e-service quality which affect male Generation Y consumers' e-satisfaction which in turn may affect their e-loyalty. A convenience sample of male college students was recruited from a Korean university. The findings of this study showed that privacy, personalization, efficiency, and website design were the key dimensions that have significant positive relationships with e-satisfaction. The positive relationship between e-satisfaction and e-loyalty was also confirmed. Managerial implications and suggestions for further research are further discussed.

• Management & Information Systems Review
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• v.26
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• pp.153-180
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• 2008

Most previous electronic commerce studies have focused on a single product or similar products. The effects of different product types have been relatively neglected. and so previous studies have limited the generalization. The purpose of this study was to explore the effects of different product types. The Internet product and service classification grid proposed by Peterson et al.(1997). A survey-based approach was employed to investigate the research questions. Regression analysis demonstrated that the determinants of online shopping acceptance differ among product or service types. As a result of analysis, personal innovativeness of information technology, perceived Web security, personal privacy concerns, and product involvement can influence consumer acceptance of online shopping, but their influence varies according to product or service types.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.155-162
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• 2024

Anonymity online has been an ever so fundamental topic among journalists, experts, cybersecurity professionals, corporate whistleblowers. Highest degree of anonymity online can be obtained by mimicking a normal everyday user of the internet. Without raising any flags of suspicion and perfectly merging with the masses of public users. Online Security is a very diverse topic, with new exploits, malwares, ransomwares, zero-day attacks, breaches occurring every day, staying updated with the latest security measures against them is quite expensive and resource intensive. Network security through anonymity focuses on being unidentifiable by disguising or blending into the public to become invisible to the targeted attacks. By following strict digital discipline, we can avoid all the malicious attacks as a whole. In this paper we have demonstrated a proof of concept and feasibility of securing yourself on a network by being anonymous.

• Journal of the Korean Society for information Management
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• v.29 no.3
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• pp.187-214
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• 2012

Libraries are founded to ensure the intellectual freedom of citizens, and citizens have the right to confidentiality regarding their needs, information access, and information use. Protecting users' privacy is critical to safeguarding their freedom of speech, freedom of thought, and freedom of assembly. Libraries and librarians should seriously concern themselves with their users' privacy because protecting this privacy is part of their most important mission, and, in doing so, users can truly enjoy their intellectual freedom. This study extensively investigated and analyzed the possibility of privacy invasion that may occur in libraries. As a result, cases of potential invasion of privacy in libraries were summarized in the following three categories: violations occurring in the process of national or law agencies' enforcement operations; violations occurring in the process of routine library services such as circulation, reference, online searching etc.; and violations occurring by outsourcing library services.

• Journal of the Korea Society of Computer and Information
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• v.25 no.1
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• pp.151-157
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• 2020

This study explored the moderating effects of security ability on the influence of privacy concerns on internet activity using Korea media panel survey data. To this end, we applied between-subjects factorial design between 2 (privacy concern high / low) × 2 (security ability high / low) groups and compared five types of internet activity among four groups by variance analysis. As a result, privacy concerns have a main effect on internet activity, and security ability have a moderating role in this relationship. Despite the privacy concerns, people do their internet activities in order to enjoy the benefit from the internet. This study have academic implication in that it focus on the issue of privacy paradox in terms of the type of internet activity. In addition, practical implications are that, in order to activate online activities of individuals in an internet-connected society, efforts for enhancing their security abilities are necessary.

• Journal of KIISE
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• v.41 no.12
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• pp.1110-1116
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• 2014

Nowadays, social networking sites (SNSs), such as Twitter, LinkedIn, and Tumblr, are coming into the forefront, due to the growth in the number of users. While users voluntarily provide their information in SNSs, privacy leakages resulting from the use of SNSs is becoming a problem owing to the evolution of large data processing techniques and the raising awareness of privacy. In order to solve this problem, the studies on protecting privacy on SNSs, based on graph and machine learning, have been conducted. However, examples of privacy leakages resulting from the advent of a new SNS are consistently being uncovered. In this paper, we propose a technique enabling a user to detect privacy leakages beforehand in the case where the service provider or third-party application developer threatens the SNS user's privacy maliciously.