• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.157-163
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• 2021

This study attempted to find individual reasons for inducing cybercrime. The survey was conducted targeting investigators and security experts on 11 types of cybercrime. There are 16 internal factors that cause crime and classified according to Maslow's 5 steps. As a result of the survey on a total of 176 items, the credibility of the Cronbach's Alpha coefficient was 0.925. The result of the factor analysis is as follows. Factor analysis results are maslow phase 1 physiological desire is commercial, sykes. Phase 2 safety desires are not punishable and crowd. The three-stage social desire is impulsiveness, indifference, etc. The fourth stage of respect is anonymity and honor. The desire for self-reality in stage 5 has been reduced to indesity, a loss of moderation, morality, and media effects. In conclusion, the physiological desire, the desire for respect for the crime of infringing on the information and communication network, the desire for menstruation, the desire for self-realization for the crime of using information and communication networks, the desire for self-actualization for the crime of illegal content. It was in the order of desire.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.127-136
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• 2019

In the social media, information that users share with service providers can be divided into personal identification information such as gender and age and privacy-related information such as photos and comments. However, previous works on IS and service management have shed relatively little light on the difference of information-sharing decisions depending on the type of information. This study examines information-sharing decisions by separating the two types of information. A structural equation modeling method is used to test the research model based on a sample of 350 Facebook in South Korea. Analysis results show that self-expression, trust, and perceived security had a significant positive effect on both user's intentions to give personal identification information and their intentions to give privacy-related information. However, privacy concerns negatively affected their intentions to give personal identification and intention to give privacy-related information. The analysis results confirm that there was no difference between decision-making processes about sharing personal identification information and ones about sharing privacy-related information.

• Informatization Policy
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• v.24 no.1
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• pp.79-99
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• 2017

Despite the early success story, the pan-industry diffusion of big data has been slow mostly due to lack of confidence of the value creation and privacy-related concerns. The problem leads us to the need to a stakeholder analysis on the adoption process of big data. The present study combines technology acceptance model, task-technology fit theory, and privacy calculus theory to integrate the positive and negative factors on the big data adoption. The empirical analysis was performed based on the survey from the current and potential big data users. Results revealed perceived usefulness, task-technology fit, and privacy concern are significant antecedents to the intention to use big data. Furthermore, there are significant differences in the perceptions of each constructs among groups divided by the types of big data use, with several exceptions. And the control effect was found in the magnitude of the relation between independent variables and dependent variable. The theoretical and politic implications of the analysis are discussed as to the promotion of big data industry.

• The Journal of Bigdata
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• v.9 no.1
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• pp.17-30
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• 2024

This study categorizes the factors that affect the intention to continue using ChatGPT into positive motivational factors (personalization, social influence) and negative motivational factors (privacy concern, perceived risk) and investigates whether they affect the intention to continue using ChatGPT through information trust, performance expectancy, and effort expectancy. To this end, a survey was conducted among 265 adults in their 20s and above who have used ChatGPT service. The results showed that personalization and social influence had a defining effect on information trust, performance expectancy, and effort expectancy. For privacy concern, we found a negative effect of wealth on performance expectations, but not on effort expectations. Perceived risk had a negative effect on performance expectancy and effort expectancy. In addition, information trust, performance expectancy, and effort expectancy have a defining effect on continuance intention. This study extends the scope of existing research that focuses on positive factors, deepens our the understanding of ChatGPT. It also provides useful suggestions for continued use of ChatGPT.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.137-152
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• 2022

Consumers' enhanced intention to adopt the Mydata service or their voluntary provision of personal information is a very essential element in the stable growth of the Mydata industry along with the creation of corporate values. The growing leakage of customer information according to the rising value of data can have negative impacts on the use of Mydata service and shrink quality custom service needs based on the personal information provided by financial consumers. This study set out to identify security risks that financial consumers could recognize and security factors that could supplement them and investigate the effects of these security factors on consumers' intention to adopt the Mydata service, thus providing useful implications for increasing the acceptance of financial consumers and finding a strategy to expand safe utilization. The findings raise a need to guarantee the stability and transparency of information provided by customers as information subjects, and they should be essential requirements for the Mydata service. The security factors applied to guarantee them should include convenience in terms of financial service.

• Information Systems Review
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• v.16 no.3
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• pp.191-214
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• 2014

In this study, based on Privacy Calculus Model, we study whether users' intention of continuous use of closed-type SNS is affected by information privacy concern. In addition, we propose a model that studies if the major factors of the intention of continuous use which are trust, satisfaction and benefits could control the information privacy concern's effect on the intention of use. As a result, companies have to consider protecting the psychological privacy and information privacy of the individual when they design SNS.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.176-183
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• 2021

Digital medical technology is very effective and at the same time faces the challenge of protecting privacy. However, for contact tracking and exposure notification apps in COVID-19 environment, there is always a trade-off between privacy measures and the effectiveness of the app's use. Today, many countries have developed and used contact tracking and exposure notification apps in various forms to prevent the spread of COVID-19, but the suspicion of digital surveillance (digital panopticon) is unavoidable. Therefore, this study aims to identify the factors of personal information infringement and dissatisfaction through text mining analysis by extracting user reviews of "Self-Quarantine Safety Protection" in Korea. As a result of the text mining analysis, we derived four groups, 'Address recognition error', 'Exit warning error', 'Access error', and 'App. program error'. Since 'Address recognition error' and 'Exit warning error' can give the app users a strong perception that they are keeping under surveillanc by the app, transparent management of personal information protection and consent procedures related to personal information collection are required. In addition, if the other two groups are not corrected immediately due to an error in an app function or a program bug, the complaints of users can be maximized and a protest against the monitor can be raised.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.5
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• pp.1083-1095
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• 2021

With the recent increase in users' dependence on the Internet and the spread of various IT devices, the influence of information security on the users' has expanded compared to the past. Therefore, it is expected to have an increased influence on information security in personal life. In addition, as the intrusion factors that threaten security continue to become more advanced and diversified (eg., fake news, cyberbullying, identity theft), the need for nurturing information security experts is increasing. Furthermore, not only corporate information security workers, but also all individuals, cannot be free from the threat of information security. Therefore, it is necessary to prepare various information security education to improve information security awareness and induce proactive information security behaviors. In this study, characteristics of domestic and foreign information security education courses are analyzed and provide a standardized framework for information security education applicable to the domestic environment.

• Information Systems Review
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• v.18 no.3
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• pp.209-233
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• 2016

Internet companies that utilize social network have increased in number. The introduction of diverse social media services facilitated innovative changes in e-business. Social network service (SNS), which is a domain of social media, is a web-based service designed to strengthen human relations in the Internet and build new social relations. The remarkable growth of social network services and the profit generation and perception of this service are the new growth engines of this digital age. Given this development, many global IT companies views SNS as the most powerful form of social media. Thus, they invest efforts to develop business models using SNS.2) This study verifies the impact of privacy exposure in SNS as a result of privacy invasion. This study examines the purpose of using the SNS and user's awareness of the significance of personal information, which are key factors that affect self-disclosure of personal information. This study utilizes theory of reasoned action (TRA) to provide a theoretical platform that describes the specific behavior and emotional response of individuals. This study presents a research model that considers negative attitude (negatude). In this model, self-disclosure in SNS is considered a TRA. TRA is a subjective norm, a behavioral intention, and a key variable of exposure behavior. A survey was conducted on college students at Y university in Seoul to empirically verify the research model. The students have experiences in using SNS. A total of 198 samples were collected. Path analysis was applied to analyze the relations of factors. The results of path analysis show the statistically insignificant impact of privacy invasion on negatude, subjective norm, behavioral intention, and exposure behavior. The impact of unrecognized privacy invasion was also considered insignificant. The impacts of intention to use SNS on negatude, subjective norm, behavioral intention, and exposure behavior was significant. A significant impact was also found for the significance of personal information on subjective norm, behavioral intention, and exposure behavior, whereas the impact on negatude was insignificant. The impact of subjective norm on behavioral intention was significant. Lastly, the impact of behavioral intention on exposure behavior was insignificant. These findings are significant because the study examined the process of self-disclosure by integrating psychological and social factors based on theoretical discussion.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.93-102
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• 2018

This study aims to present policy implications by analyzing information security behavior factors of internet users. The research model, based on PMT and UTAUT2, consists of perceived threat, severity, social influence, self-efficacy, experience and habits, PC and privacy behaviors, security behaviors on new services and set demographic characteristics, use places of internet, use of paid products, and experiences of accident as moderate variables to analyze the effect on security behavior. The results showed that perceived severity, self-efficacy significantly influenced on experience and habits, and experience and habits and self-efficacy had a high influence on PC and privacy behavior. Also, PC and privacy behaviors have a high impact on security behavior of new services. Age, income, use of paid products, and experience of accidents have a moderating effects on security behaviors. The results of this study are expected to help policy decision making to improve the level of information security of internet users.