• Title/Summary/Keyword: Perceived Privacy Risk

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Intention to Disclose Personal Information in LBS : Based on Privacy Calculus Perspective (스마트폰 위치기반서비스에서 정보제공의도 : 프라이버시 계산 관점을 중심으로)

  • Kim, Jong-Ki;Kim, Sang-Hee
    • The Journal of Information Systems
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    • v.21 no.4
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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.

The effect of Privacy Factors on the Provision Intention of Individual Information from the SNS Users (SNS 이용자의 프라이버시 요인이 개인정보 제공의도에 미치는 영향)

  • Min, Hyeon-Hong;Hwang, Gee-Hyun
    • Journal of Digital Convergence
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    • v.14 no.12
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    • pp.1-12
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    • 2016
  • Today, with the popularity of smart phones and the proliferation of SNS, anyone is exposed to the risk of personal information leakage. Unlike the prior studies of privacy, this research aims to identify the privacy factors affecting the provision intention of individual information from the SNS Users. This study also analyses how the perceived privacy risks and corporate trust affect the provision intention of individual information. The analysis results of empirical data show that despite experiencing the privacy leakage such as direct hacking and being aware of the risk, people are providing firms with personal information. The most influential variables to perceived privacy risk are information privacy policy, information privacy concern, previous privacy experience and information privacy awareness in the decreasing order of importance. Those to the corporate trust are information privacy policy, information privacy awareness, previous privacy concern and information privacy experience. Besides, the corporate trust and the perceived privacy risk also affect the provision intention of personal information. Finally, this study proposes the implications for personal information privacy.

A Study on the Information Privacy Concerns in Social Log-in Service

  • Kim, Yujin;Lee, Hyung-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.1
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    • pp.193-200
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    • 2022
  • In this paper, we examined the causes of privacy concerns and related factors in social log-in services. On the basis of the 'principal-agent theory,' we established factors such as perceived information asymmetry and fear of seller opportunism affecting information privacy concern of social log-in services users. In addition, we analyzed the relationship between the information privacy concern and intention to use on the basis of the 'privacy calculus theory'. The results of the study showed that (1) fear of seller opportunism had the significant effect on information privacy concerns, (2) information privacy concerns had the significant effect on perceived risk, (3) in accordance with the privacy calculus theory, perceived risk had the negative effect on intention to use, while perceived benefit had the positive effect on intention to use. The findings of the study are expected to help to improve the social log-in service firms' understanding for customers' information privacy protection behaviors.

Developing the online reviews based recommender models for multi-attributes using deep learning (딥러닝을 이용한 온라인 리뷰 기반 다속성별 추천 모형 개발)

  • Lee, Ryun-Kyoung;Chung, Namho;Hong, Taeho
    • The Journal of Information Systems
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    • v.28 no.1
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    • pp.97-114
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    • 2019
  • 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. 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.

The Effect of Characteristics and Perceived Privacy Risk of Mobile Location-based SNS on Intention to Use SoLoMo Applications (모바일 위치기반 SNS의 특성과 지각된 프라이버시 위험이 SoLoMo 어플리케이션의 이용의도에 미치는 영향)

  • Shin, Taeksoo;Cho, Won Sang
    • Journal of Information Technology Services
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    • v.13 no.4
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    • pp.205-230
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    • 2014
  • In recent years, the social network service (SNS) and the location-based social network service (LBSNS) industry is expanding and the competition within the field is increasing much more. Since 2010, the full-scaled studies of SNS and LBSNS have begun. With the growth of SNS and LBSNS markets, SoLoMo (Social-Local-Mobile) is also becoming the trend for applications in different fields. However, despite the importance of SoLoMo, there have been little studies on the characteristics of SoLoMo applications. The purpose of this research is to investigate the effect of characteristics and perceived privacy risk of mobile location-based SNS on intention to use SoLoMo applications. For the purpose, we proposed a SoLoMo service acceptance model with TAM (Technology Acceptance Model) and the characteristics of SoLoMo applications. The characteristics consist of three factors, i.e. SNS, location, and mobile-related factors. This study also considered a gamification and a perceived privacy risk factor influencing on SoLoMo service usage in our proposed research model. The results of our empirical analysis using partial least squares (PLS) method show that the characteristics of SoLoMo applications including SNS, location, and mobile-related features, gamification, and perceived privacy risk have partially an effect on intention to use SoLoMo applications. Based on these results, SoLoMo-related companies will be able to increase the usage of SoLoMo services by differentiating their own strategies with these factors influencing on SoLoMo services.

The Effects of Perceived Risk Affecting Perceived Value and Repurchase Intention in Electronic Commerce Environment (전자상거래 환경에서 지각된 위험이 지각된 가치 및 재구매의도에 미치는 영향)

  • Duan, Li-Ni;Jung, Chul-Ho;Park, Kyung-Hye
    • Journal of Digital Convergence
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    • v.10 no.3
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    • pp.13-21
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    • 2012
  • The main purpose of this study is to find out how perceived risk elements influence to customer's perceived value and repurchase intention in the electronic commerce environment. To achieve the goal, we set 6 sub-dimension - privacy risk, social risk, time lose risk, economic risk, psychological risk, and performance risk - based on comprehensive consideration of related studies, and established a research model included 2 factors such as perceived value and repurchase intention to measure performance in internet shopping malls. From 174 customers of the electronic commerce shopping malls survey data have been collected and analyzed based on the covariance structural model method. Firstly, four perceived risk characteristics of privacy risk, economic risk, psychological risk, and performance risk are significant effect on perceived value. Secondly, perceived value is very significantly related to repurchase intention in electronic commerce shopping malls. Consequently, we discussed the strategies to create perceived value and repurchase intention in electronic commerce environment. Also, we suggested the implications and further research directions.

A Study on the Internet User's Economic Behavior of Provision of Personal Information: Focused on the Privacy Calculus, CPM Theory (개인정보 제공에 대한 인터넷 사용자의 경제적 행동에 관한 연구: Privacy Calculus, CPM 이론을 중심으로)

  • Kim, Jinsung;Kim, Jongki
    • 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.

Factors Influencing Acceptance Resistance of Personal Health Record Apps: Focusing on the Privacy Calculus Model (개인건강기록 앱 수용저항에 영향을 미치는 요인: 프라이버시 계산모형을 중심으로)

  • Sang Ho Kim;Eunkyung Kang;Sung-Byung Yang
    • Information Systems Review
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    • v.25 no.1
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    • pp.165-187
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    • 2023
  • The continuous increase in life expectancy and high interest in health has brought about significant changes in the use of health information by the public according to the development of information technology represented by the Internet and smartphones. As the medical market expands to the mobile health environment, many health-related apps have been created and distributed, but the acceptance rate is slow as it has become challenging to provide services due to various regulations. In this study, perceived value, perceived risk factors (psychological risk, risk of time-loss, legal risk), and perceived benefits (usefulness, interaction, autonomy) were derived and verified as factors that affect the acceptance resistance of personal health record apps based on the privacy calculation model. In addition, by analyzing the moderating effect of trust in the manufacturer, how the perceived risk and perceived benefit affect the perceived value was verified. A survey was conducted on Korean college students who recognized the personal health record apps but did not use them, and 127 samples were analyzed using structural equations. As a result of hypothesis verification, perceived value has a negative effect on acceptance resistance, perceived risk (risk of time-loss) has a negative effect on perceived value, and perceived benefits (usefulness, interaction, autonomy) were found to have a positive effect on perceived value. Trust in manufacturers has weakened the impact of perceived risks (legal risk) on perceived values. This study is expected to play an important role in maintaining a competitive advantage in the personal health record app market environment by identifying and proposing detailed criteria for reducing the acceptance resistance of personal health record apps.

Privacy Calculus and the Role of Information Transparency in Personal Information Disclosure (온라인상의 개인 정보 제공에 있어서 정보 투명성의 역할 - 프라이버시 계산 모형을 중심으로 -)

  • Lee, Dong-Joo;Bang, Youngsok;Bae, Yoon Soo
    • Informatization Policy
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    • v.17 no.2
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    • pp.68-85
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    • 2010
  • This study extends the privacy calculus model to investigate the role of information transparency in influencing individual decision making on information disclosure. The proposed model integrates perceived usefulness and ease of use as benefit-side factors and information privacy risk as a risk-side factor accompanying information disclosure, and theorizes the effects of information transparency on the factors. The research model was tested using data gathered from 163 respondents through an online survey method. Results suggest that users'perception of information transparency not only increases the perceived benefits from the online site but also mitigates the risk related with information disclosure, resulting in higher intention to provide personal information to the site. Further, we find that online firms may improve users' perception of information transparency by providing explanation on why particular personal information is required and how it will be used.

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The Effect of Clothing Involvement on the Perceived Risk in Internet Shopping and Store Selection Criteria (의복관여가 인터넷 위험지각과 점포선택기준에 미치는 영향)

  • 황진숙
    • Journal of the Korean Home Economics Association
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    • v.40 no.12
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    • pp.49-61
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    • 2002
  • The purpose of this study was to investigate the effect of clothing involvement on the perceived risk in internet shopping and store selection criteria. The subjects used for the study were 210 male and 338 female college students. The clothing involvement consisted of pleasure, symbolism, and selection difficulty factors. The perceived risk consisted of size/defect risk, social psychological risk, privacy risk, delivery risk, and price risk. The store selection criteria had security/service, entertainment/variety, price/convenience factors. The results showed that consumers were segmented by four groups based on clothing involvement factors: clothing pleasure group, symbolism group, confidence group, and low clothing involvement group. The four segmented groups differed in regard to the perceived risk, store selection criteria, and demographics. For example, clothing pleasure group perceived the size/defect risk and social psychological risk higher than did the other groups. Also, the clothing pleasure group considered entertainment/variety more important and had younger female consumers.