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

• Management & Information Systems Review
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• v.35 no.1
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• pp.207-233
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• 2016

Currently mobile messenger industry, based on mobile application, is growing. And it has aroused innovative change, offering services in various forms beyond the form simply sharing messengers. Also because messenger securities are becoming personalized and intelligent, the importance of more diverse mobile applications' securities is increasing. This study carries out the empirical study of the causal relationship that the factors of using application services influence on security recognition and security Intention of mobile securities, and consequentially impact upon protection of personal information of users. In order that, we present the research model which prime variables of SDT, which emphasized on natural immanent motivation of human, applied to. To verify the research model of this study empirically, we conducted a survey targeting the public and university students which have ever used mobile messenger applications. With this, we desire to contribute to emphasizing the significance of individual messenger security and playing a positive role to develop security guide for consumers. The path analysis results are as follows. First, perceived autonomy has a positive effect on both security awareness and security intention. Second, perceived competence has a positive effect on security intention. Third, perceived relatedness has a positive effect on both security awareness and security intention. Last, security awareness and security intention. have a positive effect on privacy protection behavior. Through emphasizing the importance of the security of the messenger of individuals and contribute to a positive role for development of the necessary security guidelines to consumers.

• Journal of Satellite, Information and Communications
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• v.12 no.1
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• pp.22-27
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• 2017

In this paper, A heightened interest in the latest drone, yet steady increase in the field to exploit them. The next market is expected to be vastly improved, and use drone also increasingly will be strengthened. But also not a few side effects of him. In order to use safer and more commonly a drone safety and privacy protection, and there are many issues that need to be considered. Violating privacy laws, such as relations caused by the drone flight and review this study ways to resolve the breach. The flight due to a draw at peace with human life and behavior and enjoy it, but this problem created by new outbreak.

• Journal of Information Technology Applications and Management
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• v.27 no.2
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• pp.1-21
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• 2020

The purpose of this study is to investigate the behavioral factors affecting the security attitude and intention to use biometrics password based on the protection motivation theory. This study also investigates security awareness training to understand trust, privacy, and security vulnerability regarding biometric authentication password. This empirical analysis reveals security awareness training boosts the protection motivational factors that affect on the behavior and intention of using biometric authentication passwords. This study also indicates that biometric authentication passwords can be used when the overall belief in a biometric system is present. After all, security awareness training enhances the belief of biometric passwords and increase the motivation to protect security threats. The study will provide insights into protecting security vulnerability with security awareness training.

• Journal of Korean Clinical Nursing Research
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• v.29 no.3
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• pp.261-270
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• 2023

Purpose: This study aimed to identify the influence of knowledge of personal information protection law and nursing patient advocacy on practice of personal information protection among nurses. Methods: The subjects were 130 nurses who have worked for six months or more in the ward of the tertiary or general hospitals. Data were collected from February 20 to March 3, 2023. Results: Factors influencing practice of personal information protection were acting as an advocate (β=.32, p=.004), environmental and educational influences (β=.21, p=.040), knowledge of personal information protection law (β=.19, p=.013) and clinical experience for five years or more but less than ten years (β=.17, p=.036). The regression model showed an explanatory power of 34.0%. Conclusion: Acting as an advocate has the most effect on practice of personal information protection. To promote practice of personal information protection for nurses, it is necessary to provide education related to privacy protection and encourage nursing patient advocacy.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.1-17
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• 2018

Recently, most online firms are trying to provide personalized services based on customer's data. However, customers are reluctant to give their information to online firm because of concerns about data breach. Online firms are seeking to increase their trust by ensuring the protection of personal information for customers through privacy seal (e.g. e-privacy) or data breach insurance. This research examines the effects of privacy assurance(i.e. privacy seal, data breach insurance) on consumer behavior in online environment. An experiment based on the hypothetical scenario was conducted using a between-subjects 2 (type of privacy assurance) + 1 (control) design. We found that both privacy seal and data breach insurance increased perceived privacy trust. In addition, privacy seal has a positive effect on the intention to provide personal information through perceived privacy trust. Finally, in the case of the group with a high (low) disposition to trust, higher perceived privacy trust is formed through privacy seal (data breach insurance). Theoretical and practical implications are discussed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.1
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• pp.159-171
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• 2017

The purpose of this study is to investigate the effects of e - commerce technology characteristics and personal values on purchasing behavior by information security importance. The results of the empirical study that examined the university students in 2006 and 2016 are as follows. First, personal value is centered on personal values, such as self - esteem and self - esteem in 2006. In 2016, however, personal values such as self - fulfillment and personal relationship with others are important. Transactional ease and product service serve as the main value of the fun and pleasure of life, but the sense of accomplishment as the core value of information protection. Second, the technical characteristics of e-commerce are as follows. In terms of ease of transaction and product service, technology characteristics are simplified and directly effected over time. On the other hand, information protection works very closely with individual value, There was a strong tendency to enjoy benefits. Especially in 2006, if you want to enjoy transactional convenience through transaction information security or benefit from product service, it has been changed to recognize the importance of information security through payment in 2016.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.125-139
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• 2013

Big data refers to the data that cannot be processes with conventional contemporary data technologies. As smart devices and social network services produces vast amount of data, big data attracts much attention from researchers. There are strong demands form governments and industries for bib data as it can create new values by drawing business insights from data. Since various new technologies to process big data introduced, academic communities also show much interest to the big data domain. A notable advance related to the big data technology has been in various fields. Big data technology makes it possible to access, collect, and save individual's personal data. These technologies enable the analysis of huge amounts of data with lower cost and less time, which is impossible to achieve with traditional methods. It even detects personal information that people do not want to open. Therefore, people using information technology such as the Internet or online services have some level of privacy concerns, and such feelings can hinder continued use of information systems. For example, SNS offers various benefits, but users are sometimes highly exposed to privacy intrusions because they write too much personal information on it. Even though users post their personal information on the Internet by themselves, the data sometimes is not under control of the users. Once the private data is posed on the Internet, it can be transferred to anywhere by a few clicks, and can be abused to create fake identity. In this way, privacy intrusion happens. This study aims to investigate how perceived personal information overload in SNS affects user's risk perception and information privacy concerns. Also, it examines the relationship between the concerns and user resistance behavior. A survey approach and structural equation modeling method are employed for data collection and analysis. This study contributes meaningful insights for academic researchers and policy makers who are planning to develop guidelines for privacy protection. The study shows that information overload on the social network services can bring the significant increase of users' perceived level of privacy risks. In turn, the perceived privacy risks leads to the increased level of privacy concerns. IF privacy concerns increase, it can affect users to from a negative or resistant attitude toward system use. The resistance attitude may lead users to discontinue the use of social network services. Furthermore, information overload is mediated by perceived risks to affect privacy concerns rather than has direct influence on perceived risk. It implies that resistance to the system use can be diminished by reducing perceived risks of users. Given that users' resistant behavior become salient when they have high privacy concerns, the measures to alleviate users' privacy concerns should be conceived. This study makes academic contribution of integrating traditional information overload theory and user resistance theory to investigate perceived privacy concerns in current IS contexts. There is little big data research which examined the technology with empirical and behavioral approach, as the research topic has just emerged. It also makes practical contributions. Information overload connects to the increased level of perceived privacy risks, and discontinued use of the information system. To keep users from departing the system, organizations should develop a system in which private data is controlled and managed with ease. This study suggests that actions to lower the level of perceived risks and privacy concerns should be taken for information systems continuance.

• 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.

• Journal of The Korean Association of Information Education
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• v.19 no.3
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• pp.299-310
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• 2015

This study was conducted with the goal to identify the degree to which elementary school students' knowledge about personal information protection practices impacted their actual behavior with regard to privacy protection. To fulfill this goal, knowledge about personal information protection was set as (1) knowledge about concepts of personal information, (2) knowledge of the rights of information holders, (3) knowledge about the code of conduct for information protection, and (4) awareness of the value of personal information. As for students' behaviors to ensure their personal information protection those were set as their habits to comply with the personal in-formation protection code of conduct and their efforts to respond and recover from any personal information violation. This study was conducted targeting 510 elementary students. The degree of the students' knowledge and their behaviors was measured by first distributing a self-report survey to the students and then analyzing their responses. The results of the analysis revealed the following: First, it was found that there are no differences among the four factors of knowledge and behavior according to the status of their education. Second, the two factors that primarily affected their personal information protection behavior were found to be their awareness of the information protection code of conduct and awareness of the value of personal information. This study holds significance in that it makes suggestions as to how personal protection practices should be taught to public school students.