• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.53-62
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• 2016

This study aims to examine the difference in self-disclosure, Facebook use intensity, privacy concern, and trust between Facebook users with high and low levels of the privacy protection skills and then to investigate the effects of the variables on continuous use intention of Facebook. Results revealed that Facebook users with high level of privacy protection skill than those with low level of the skill show lower level of privacy concern, but higher level of Facebook use intensity and trust. In addition, privacy protection skill presented the significant moderating effects on the relationships between self-disclosure, trust, and continuous use intention of Facebook.

• Journal of the Korea Society of Computer and Information
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• v.19 no.10
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• pp.175-184
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• 2014

The purpose of this study is to examine the factors influencing purchase intention of Location-Based Services (LBS) using privacy-trust-behavioral intention model. This model tests various theoretical research hypotheses relating to LBS, privacy-trust-behavioral intention model, and Concern for Information Privacy(CFIP). The target population of this study was LBS users. Data for this study were collected from January 21 to March 20, 2014. The data were gathered from 231 questionnaire respondents with experience using LBS. Among these reponses, 21 were excluded because of missing or inappropriate data. After removing the unsuitable questionnaires, a total of 210 surveys were considered for analysis. The results of hypothesis testing are as follows. First, location awareness positively influence privacy concerns. Second, privacy concerns negatively influence trust. Finally, trust positively influence purchase intention. The results of this study will provide various implication to improve purchase intention of LBS.

• 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.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.188-202
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• 2014

This major purpose of this study is to examine factors influencing the attitude toward News Feed advertising in Facebook. For this purpose, this study posited seven determinants including informativeness, entertainment, irritation, trust, individualization, incentive and privacy concern, which can have influences on the attitude toward News Feed Advertising. and this research tests the relationships between these seven determinants and the attitude toward News Feed Advertising. An online survey was administrated to collect data and hierarchical regression analyses were employed for data analysis. The results showed that infortainment as a new combined factor of informativeness and entertainment, trust, individualization have significantly positive influences on the attitude toward News Feed advertising in Facebook. It was also shown that the moderating effect of involvement on the relationship between irritation and the attitude. The results in this study implied that it is needed to reinforce the attributes of advertising including infortainment, trust and individualization to boost the effects of News Feed advertising in Facebook on consumers.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.77-88
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• 2021

Cloud computing is getting a lot of attention by many people and businesses due to IT environmental changes such as the proliferation of smart devices, the increase of digital data, and the cost of IT resources. More individuals use personal cloud computing services for storing and managing information and data. Therefore, this study proposed determinants that are expected to have an influence on evaluating the value of cloud computing based on the value-based adoption model, examining the relationship between the continuous use intention of cloud computing. Results of the study show that usefulness, convenience of information access, extensibility had a positive impact on perceived value while privacy concerns and costs had a negative impact on perceived value. In addition, perceived value was found to have a significant effect on the intention to continue use of cloud computing. Finally, trust was found to have a significant effect on the perceived value and the intention to continue use of cloud computing. The findings are expected to provide useful information for understanding the factors that individual users consider important in the steadily growing cloud computing market.