• 한국정보시스템학회지:정보시스템연구
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• 제21권4호
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• pp.55-79
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• 2012

LBS(Location-Based Service) is one of the smartphone application services which has been receiving great attention recently. Various applications of smartphone use LBS to provide innovative services. However, use of LBS raises privacy concerns because the location information of users is constantly exposed. Privacy calculus perspective attempts to understand the characteristics of the user's privacy. It is based on the risk-benefit analysis in the economics' perspective. That is, when the benefit expected through personal information disclosure is higher than risk, we are willing to provide personal information. This research suggested a research model based on the privacy calculus perspective to clarify the effect of information disclosure intention of smartphone LBS application users. Based on the main factors of privacy calculus, perception of privacy risk and privacy benefit, the relationship of the perceived value and the information disclosure intention was empirically analyzed by utilizing structural equation modeling(SEM) methodology. According to the results of the empirical analysis, it was found that all relations have statistically significant explanatory power except the relation between privacy concern and information disclosure intention. This study showed a strong evidence of antecedent factors based on privacy calculus of personal information disclosure in smartphone LBS applications.

• 한국정보시스템학회지:정보시스템연구
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• 제32권2호
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• pp.1-24
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• 2023

Purpose The aim of this study is to investigate how system quality, privacy concerns, and usefulness impact user satisfaction and word-of-mouth intention towards smart order services among Chinese consumers. The study also seeks to provide both theoretical and practical implications based on the findings. Design/methodology/approach This study conducted an empirical study on Chinese consumers through an online survey on 274 users of smart order service in China. To analyze the data, frequency analysis, reliability analysis, and confirmatory factor analysis were performed using SPSS 26.0 and AMOS 26.0 statistical programs, and structural equation model was used for hypothesis testing. Findings The study results are as follows. First, system quality was found to have a positive effect on usefulness and user satisfaction. Second, privacy concerns were found to have a positive effect on user satisfaction, but not on usefulness. Third, user satisfaction was found to have a positive effect on consumers' word-of-mouth intention of the smart order service. Finally, mediating effects were found between system quality and user satisfaction through usefulness, as well as between system quality, perceived privacy concern, and usefulness through user satisfaction.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 추계학술대회
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• pp.411-416
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• 2007

Only a few P3P-based privacy aware systems address the discrepancy between a service provider's privacy policy and the user's typical concerns-hence, putting service usage at risk. Moreover, since users are typically nomadic in pervasive computing services, their specific privacy concerns would dynamically change according to the surrounding context. This leads us to develop a dynamically adjusting P3P-based policy for a personalized, privacy-aware service as a core element of secure pervasive computing. Hence, the purpose of this paper is to propose a pervasive P3P-based negotiation mechanism for privacy control which functions in a dynamic and flexible way.

• Asia pacific journal of information systems
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• 제28권2호
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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.

• 한국컴퓨터정보학회논문지
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• 제25권1호
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• pp.151-157
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• 2020

본 연구에서는 한국미디어패널조사 데이터를 이용하여 프라이버시 염려가 인터넷 활동성에 미치는 영향에 있어 보안역량의 조절효과를 탐색하였다. 이를 위해 2(프라이버시 염려 고/저) × 2(보안역량 고/저) 집단 간 실험설계를 적용하여 총 4개의 집단을 대상으로 5가지 유형의 인터넷 활동성에 대한 분산분석을 실시하였다. 그 결과, 프라이버시 염려는 인터넷 활동성에 주 효과로 작용하는 것으로 나타났으며, 보안역량은 이 관계에서 조절적 역할을 하는 것으로 나타났다. 이는 프라이버시 염려가 있음에도 불구하고 인터넷을 통한 편익을 누리기 위해 개인정보 침해를 무릅쓰고 혹은 방어하며 인터넷 활동을 하기 때문인 것으로 판단된다. 본 연구는 최근 이슈가 되고 있는 프라이버시 역설에 대한 쟁점을 인터넷 활동의 유형 측면에서 조명하고 있다는데 학문적 의의가 있다. 또한 인터넷으로 연결된 사회 속에서 표현의 자유를 추구하는 개인들의 온라인 활동을 담보하기 위해서는 무엇보다 보안역량 제고를 위한 실무적 노력이 필요함을 시사한다.

• 정보화정책
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• 제28권1호
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• pp.22-42
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• 2021

본 연구는 프라이버시 우려가 모바일 간편결제 서비스 이용에 미치는 영향을 탐색하였다. 특히 기존 단일차원으로 논의되어 온 소비자 혁신성의 한계를 넘어 기능적·쾌락적·사회적·인지적 측면의 다차원적 소비자 혁신성을 적용하여 프라이버시 우려와 실제 행동 간의 일치·불일치 여부를 성별(남·여)로 구분하여 위계적 방법의 로지스틱 조절효과 분석을 수행하였다. 그 결과, 성별을 막론한 모든 그룹에서 쾌락적 혁신성은 양(+)의 관계가 나타났으며, 기능적 혁신성은 여성 그룹에서 유의한 음(-)의 관계가 나타났다. 특히, 남성 집단에서는 프라이버시 우려와 기능적 혁신성의 조절효과가 나타났는데, 개인이 인지하는 기능적 혁신성에 따라 프라이버시 우려에 따른 모바일 간편결제 서비스 이용 여부가 달라질 수 있음을 시사한다. 본 연구를 통해 프라이버시 우려와 더불어 다차원적인 소비자 혁신성을 고려할 때 소비자의 신기술 기반 서비스 채택 양상을 다양하고 균형 있게 설명·예측할 수 있다는 점과 모바일 간편결제 서비스가 이용자의 즐거움과 더불어 해당 서비스가 보안 안전성을 기반으로 다양한 상황에서 유용하게 사용될 수 있다는 확신을 소비자들에게 보여주어야 함을 연구의 시사점으로 제시하였다.

• Asia pacific journal of information systems
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• 제25권2호
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• pp.289-305
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• 2015

The dramatic growth of social networking sites (SNS) has created a myriad of privacy concerns. Our study focuses on how much monetary incentive SNS users are willing to accept in exchange for disclosing their SNS information by accepting friend requests. First, we focused on information privacy in SNS, and estimated the value of information privacy by using the contingent valuation method. Second, we attempted to estimate how SNS users' willingness to accept would change when demographic information and additional information vary. Privacy-sensitive SNS users have the following characteristics: higher education, less SNS experience, and higher security consciousness. On the contrary, those who make good use of SNS and use open-based SNS are less sensitive to privacy. In summary, privacy-sensitive SNS users are fearful or uneasy when they have insufficient control of SNS information. Considering 14 conditions on the value of information privacy on SNS, the mean value of SNS information per person is 173,957 won. If we apply this value to Facebook users, the total Facebook information value would be 1.91 trillion won, considering that there are 11 million users in Korea.

• Asia pacific journal of information systems
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• 제16권4호
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• pp.49-70
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• 2006

In recent, Open markets are booming up rapidly. Open markets are one of the online marketplaces which mainly concentrated on spot transactions of commodities, and are differentiated from integrated internet shopping stores with market participants, trading rules and so on. This study investigated on factors affecting satisfaction with and preference on open markets by comparing open markets with integrated internet shopping stores, and aimed to figure out the reasons why open markets are growing up so rapidly and to forecast the future of open markets. To investigate the factors affecting buyers' satisfaction with and preference on internet shopping channel. I extracted several factors through literature reviews. The factors include the pros (cost saving and time saving), the cons (security concerns and privacy concerns), and decision making support suggested by Simon's research as well. Then, I constructed research model and related research hypotheses. To verify research hypotheses, I conducted field survey targeting on online buyers and analyzed research data using structural equation model. According to data analysis result, open markets have competitive advantages over integrated internet shopping stores with respect to cost saving, time saving, and decision making support. However, online buyers are still concerning privacy issues within open markets. In summary, buyers are considering that open markets are cheaper, faster, and more efficient internet shopping channel, compared with integrated internet shopping stores. However, open markets are required to dedicate to lessen buyers' privacy concerns to rebirth as more satisfying and preferable internet shopping channel and to prosper in the future.

• International Journal of Contents
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• 제15권4호
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• pp.74-81
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• 2019

This study examined the overall relationship between information privacy concern, need for uniqueness (NFU), and disclosure behavior to explain the personal factors that drive data-sharing on Facebook. The results of an online survey conducted with 222 Facebook users show that among diverse data that social media users disclose online, four distinct factors are identified: basic personal data, private data, personal opinions, and personal photos. In general, there is a negative relationship between privacy concern and a positive relationship between the NFU and the willingness to self-disclose information. Overall, the NFU was a better predictor of willingness to disclose information than privacy concern, gender, or age. While privacy concern has been identified as an influential factor when users evaluate social networking sites, the findings of this study contribute to the literature by demonstrating that an individual's need to manifest individualization on social media overrides privacy concerns.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권9호
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• pp.4463-4483
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• 2019

Privacy-preserving collaborative filtering schemes take privacy concerns into its primary consideration without neglecting the prediction accuracy. Different schemes are proposed that are built upon different data partitioning scenarios such as a central server, two-, multi-party or peer-to-peer network. These data partitioning scenarios have been investigated in terms of claimed privacy promises, recently. However, to the best of our knowledge, any peer-to-peer privacy-preserving scheme lacks such study that scrutinizes privacy promises. In this paper, we apply three different attack techniques by utilizing auxiliary information to derive private ratings of peers and conduct experiments by varying privacy protection parameters to evaluate to what extent peers' data can be reconstructed.