• The Journal of Information Systems
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• v.26 no.1
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• pp.93-123
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• 2017

Purpose The purpose of this study is to deduct the factors for explaining the economic behavior of an Internet user who provides personal information notwithstanding the concern about an invasion of privacy based on the Information Privacy Calculus Theory and Communication Privacy Management Theory. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the computation theory of information privacy with the factors deducted from the management theory of communication privacy on the basis of the Dual-Process Theory. In addition, this study, did empirical analysis of the path difference between groups by dividing Internet users into a group having experience in personal information spill and another group having no experience. Findings According to the empirical analysis result, this study confirmed that the Privacy Concern about forms through the Perceived Privacy Risk derived from the Disposition to value Privacy. In addition, this study confirmed that the behavior of an Internet user involved in personal information offering occurs due to the Perceived Benefits contradicting the Privacy Concern.

• Human Ecology Research
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• v.55 no.2
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• pp.205-219
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• 2017

This study redefines 'consumer privacy attitude and behavior discrepancy' that occurs in the transaction environment that exists between consumer and provider as 'consumer privacy paradox.' In this study, qualitative research was conducted based on grounded theory. This study explored how consumers react to a privacy paradox as well as looked into how to adapt to the negative and positive results that can be generated by the privacy paradox. 'Consumer privacy paradox' is the same as the existing privacy paradox in that consumers can utilize the resources of personal information to consume and benefit from the market environment. However, it differs from previous studies in that it examines the privacy paradox in terms of consumer influence and consumer experience. The results of the study are as follows. First, a paradigm model of the consumer privacy paradox was derived. Second, consumers used three types of strategies to rationalize themselves or maintain indifference or relief to cope with the consumer privacy paradox. Third, the possibility of damage and the responsibility for privacy protection were the mediators of the consumer privacy paradox. Fourth, the 'result' generated by the consumer privacy paradox showed four types of: non-response, satisfaction, commitment to change, and negative emotional experience. Fifth, there is a difference in strategies to respond to the consumer privacy paradox according to consumer types.

• Journal of Internet Computing and Services
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• v.9 no.2
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• pp.51-59
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• 2008

As the innovative IT are being developed and applied in the e-business environment, firms are recognizing the fact that amount of customer information is providing care competitive edge. However, sensitive privacy information are abused and misused, and it is affecting the firms to require appropriate measures to protect privacy information and implement security techniques to safeguard carparate resources. This research analyzes the threat of privacy information exposure in the e-business environment, suggest the IPM-Trusted Privacy Policy Model in order to resolve the related problem, and examines 4 key mechanisms (CAM, SPM, RBAC Controller, OCM) focused on privacy protection. The model is analyzed and designed to enable access management and control by assigning user access rights based on privacy information policy and procedures in the e-business environment. Further, this research suggests practical use areas by applying TPM to CRM in e-business environment.

• Knowledge Management Research
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• v.13 no.4
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• pp.83-100
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• 2012

Given the prevalence of mobile social network services (SNS) such as Facebook and Kakaotalk, it has become important to understand user's continuance behavior in a mobile SNS environment. Although trust and privacy concerns play a key role in SNS users' decision-making processes, most studies on SNS have shed little light on the effects of trust and privacy concerns on SNS continuance intention. In this regard, this paper developed an integrated model to deeply understand the key antecedents of user's continuance intention to use mobile SNS by incorporating trust and privacy concerns into extended expectation-confirmation model. The proposed research model was tested by using survey data collected from 170 users who have experience with Kakaotalk. The findings of this study found that the proposed theoretical framework provides a statistically significant explanation of the variance in continuance intention of mobile SNS. The analysis results indicate that trust serves as the salient antecedent of continuance intention to use mobile SNS. However, it was found that privacy concerns negatively influence trust, whereas it is not significantly related to continuance intention of mobile SNS. The theoretical and practical implications of the findings were described.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.788-793
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• 2004

Internet-based distribution of digital contents provides great opportunities for producers, distributors and consumers, but it may seriously threaten users' privacy. The Digital Rights Management (DRM) systems which one of the major issues, concern the protection of the ownership/copyright of digital content. However, the most recent DRM systems do not support the protection of the user's personal information. This paper examines the lack of privacy in DRM systems. We describe a privacy policy and user's privacy preferences model that protect each user's personal information from privacy violation by DRM systems. We allow DRM privacy agent to automatically negotiate between the DRM system policy and user's privacy preferences to be disclosed on behalf of the user. We propose an effective negotiation algorithm for the DRM system. Privacy rules are created following the negotiation process to control access of the user's personal information in the DRM system. The proposed privacy negotiation algorithm can be adapted appropriately to the existing DRM systems to solve the privacy problem effectively.

• Informatization Policy
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• v.29 no.2
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• pp.37-65
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• 2022

This article analyzes the relationship between the privacy attitudes of MyData users and the four dimensions of privacy cynicism (distrust, uncertainty, powerlessness, and resignation) as to privacy protection intentions through a structural equation model. It was examined that MyData user's internet skills had a statistically significant negative effect on 'resignation' among the privacy cynicism dimensions. Secondly, privacy risks have a positive effect on 'distrust' in MyData operators, 'uncertainty' in privacy control, and 'powerlessness' in terms of privacy cynicism. Thirdly, it was analyzed that privacy concerns have a positive effect on the privacy cynicism dimensions of 'distrust' and 'uncertainty', with 'resignation' showing a negative effect. Fourthly, it was found that only 'resignation' as a dimension of privacy cynicism showed a negative effect on privacy protection intention. Overall, MyData user's internet skills was analyzed as a variable that could alleviate privacy cynicism. Privacy risks are a variable that reinforces privacy cynicism, and privacy concerns reinforce privacy cynicism. In terms of privacy cynicism, 'resignation' offsets privacy concerns and lowers privacy protection intentions.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.165-184
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• 2023

Recently, Deep learning analysis of unstructured text data using language models, such as Google's BERT and OpenAI's GPT has shown remarkable results in various applications. Most language models are used to learn generalized linguistic information from pre-training data and then update their weights for downstream tasks through a fine-tuning process. However, some concerns have been raised that privacy may be violated in the process of using these language models, i.e., data privacy may be violated when data owner provides large amounts of data to the model owner to perform fine-tuning of the language model. Conversely, when the model owner discloses the entire model to the data owner, the structure and weights of the model are disclosed, which may violate the privacy of the model. The concept of offsite tuning has been recently proposed to perform fine-tuning of language models while protecting privacy in such situations. But the study has a limitation that it does not provide a concrete way to apply the proposed methodology to text classification models. In this study, we propose a concrete method to apply offsite tuning with an additional classifier to protect the privacy of the model and data when performing multi-classification fine-tuning on Korean documents. To evaluate the performance of the proposed methodology, we conducted experiments on about 200,000 Korean documents from five major fields, ICT, electrical, electronic, mechanical, and medical, provided by AIHub, and found that the proposed plug-in model outperforms the zero-shot model and the offsite model in terms of classification accuracy.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.137-143
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• 2020

With the development of information and communication technology, various data have appeared and are being distributed. The use of various data has contributed to the enrichment and convenience of our lives. Data in the public areas is also growing in volume and being actively used. Public data in the field of education are also used in various ways. As the distribution and use of public data has increased, advantages and disadvantages have started to emerge. Among the various disadvantages, the privacy problem is a representative one. In this study, we deal with the privacy issues of public data in education. First, we introduce the privacy issues of public data in the education field and suggest various solutions. The various solutions include the expansion of privacy education opportunities, the need for a new privacy protection model, the provision of a training opportunity for privacy protection for teachers and administrators, and the development of a real-time privacy infringement diagnosis tool.

• Asia pacific journal of information systems
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• v.28 no.2
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• pp.133-153
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• 2018

This study investigates responses to privacy concerns by analyzing the psychological and behavioral characteristics related to the disposition toward invoices of courier service users. To this end, we develop a theoretical framework by combining stimulus response theory, communication privacy management theory, the theory of reasoned action, and the theory of planned behavior. Based on the theoretical framework, we analyze the relationships between social influence, privacy propensity, privacy control, privacy risk, privacy concern, invoice disposition intention, and invoice disposition behavior in the context of courier services. To test our hypotheses, we survey courier service users in the U.S. and Korea. Using a structural equation model, we test the relationships among these various factors for the courier service users of the two countries. Results have distinct implications for the psychological and behavioral characteristics concerning the disposal of courier invoices and enable understanding of the characteristics of courier service customers of the two countries.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.223-233
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• 2022

In this paper, we examined the causes of information privacy concerns, trust and related factors in social network services. On the basis of the 'elaboration likelihood model,' we established factors such as information quality, privacy policy, perceived SNS app popularity and optimism bias affecting information privacy concern of SNS users. In addition, we analyzed the relationship between information privacy concern, trust in SNS members, trust in SNS platform and intention to use. Finally, on the basis of the 'trust transfer theory', we analyzed the relationship between trust in SNS members and trust in SNS platform. The results of the study showed that (1) information quality, privacy policy and optimism bias had the significant effects on information privacy concerns, (2) perceived SNS app popularity didn't affect information privacy concerns, (3) information privacy concerns had the significant effects on trust in SNS platforms (4) in accordance with the trust transfer theory, trust in SNS members had the significant effect on trust in SNS platforms, and (5) trust in SNS members had the significant effect on intention to use, while trust in SNS platform didn't have the significant effect on intention to use. The findings of the study are expected to help to improve the SNS firms' understanding towards customers' information privacy protection behaviors and trust.