• Title, Summary, Keyword: Privacy Calculus

Search Result 23, Processing Time 0.026 seconds

A Study on Factors Influencing Privacy Decision Making on the Internet: Focus on Dual-Calculus Model (온라인 환경에서 프라이버시 의사결정에 영향을 미치는 요인에 관한 연구: 이중계산모델을 중심으로)

  • Kim, Sanghee;Kim, Jongki
    • The Journal of Information Systems
    • /
    • v.25 no.3
    • /
    • pp.197-215
    • /
    • 2016
  • Purpose This study aims to investigate the factors that influence decision making in relation to providing personal information on the internet with respect to the integration of the privacy calculus theory and protection motivation theory based on the dual-calculus model proposed by Li(2012). Design/methodology/approach The privacy calculus theory and protection motivation theory have been applied to explain privacy behavior to a certain degree but few studies have been conducted to explain privacy behavior based on the integration of these two theories. Although Li(2012) proposed the dual-calculus model, he only proposed its framework and did not carry out an empirical study. Therefore, this study proposes a research model that integrates these two theories and examines the relationship between the two theories through an empirical study. Findings According to the results of empirical analysis, it was found that all relations have statistically significant explanatory power except the relation between coping appraisal and privacy risk in the risk calculus process. Thus, the results verify that external threat played a decisive role in increasing the risk level of a consumer's privacy. It can be discussed the ways to enhance the privacy behavior of consumer on the internet through these findings.

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
    • /
    • v.21 no.4
    • /
    • pp.55-79
    • /
    • 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.

Strategic Approach to Privacy Calculus of Wearable Device User Regarding Information Disclosure and Continuance Intention

  • Cho, Ji Yeon;Ko, Daesun;Lee, Bong Gyou
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.12 no.7
    • /
    • pp.3356-3374
    • /
    • 2018
  • The healthcare and fitness wearable-device market is considered as the driving force of the entire wearable device market. However, there are concerns with respect to information privacy because wearable devices constantly collect sensitive data such as individuals' health information. Thus, there is a need for a comprehensive understanding from the perspective of information privacy concerns and related behavior. This study investigates factors considered in the privacy calculus of wearable fitness devices, and verifies differences obtained by the privacy calculus process according to the frequency of exercise. The results obtained from a survey of 248 undergraduate students in Korea revealed that service providers should consider users' interests and exercise characteristics in order to mitigate their privacy concerns and encourage continuous use of wearable devices. This study provides useful insights pertaining to users of wearable fitness devices, and targets researchers and practitioners.

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
    • /
    • v.26 no.1
    • /
    • pp.93-123
    • /
    • 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.

Influence of Privacy Concerns on Intention to Use Location-based Services Based on Privacy Calculus Perspective (프라이버시 계산 관점에서 위치기반서비스 이용의도에 대한 프라이버시 염려의 영향)

  • Kim, Jongki
    • Journal of Digital Convergence
    • /
    • v.15 no.12
    • /
    • pp.265-272
    • /
    • 2017
  • As Location-based services on smartphone are getting more popular, users have more concern on exposing their location information. This study developed a research model to identify how smartphone users perceive on providing information pertaining to their location based on privacy calculus theory. 203 responses were analyzed with SmartPLS 2.0. The outcome of this research is quite interesting because conventional belief of privacy calculus perspective does not hold. The privacy calculus theory is based on assumption that human being is rational and decision to provide privacy information is determined by risk and benefit aspects. However, the result of this study is in accordance with behavioral economics perspective in which emotional judgment and behavioral judgement are affected by different factors.

Factors Affecting an Individual's Intention to Disclose Personal Health Information: From Privacy Calculus Perspective (개인의 건강정보 제공의도에 영향을 미치는 요인: 프라이버시 계산 관점에서)

  • Jeong, Euiseon;Lee, Sang-Chul;Suh, Yung-Ho
    • Journal of the Korean Society for Quality Management
    • /
    • v.46 no.4
    • /
    • pp.877-898
    • /
    • 2018
  • Purpose: This study empirically examines the effect of Communication Privacy Management(CPM) factors and Privacy Calculus factors to the intention to disclose Personal Health Information(PHI) in the context of healthcare ecosystem. Also, it investigates the moderating effects of CPM factors in the relationship between privacy calculus variables and the intention to disclose PHI. Methods: We conducted scenario-based repeated-measures quasiexperiment and used total 364 samples for analysis. Confirmatory factor analysis and repeated-measure ANOVA were employed using SPSS 24.0. Results: All CPM factors, such as type of information, requesting purpose, and requesting stakeholder, directly influence to the intention to disclose PHI, whereas only the medium trust out of the Privacy Calculus factors has direct influence on the intention to disclose PHI. With regard to the moderating effects, the requesting stakeholder is the most influential and the information type is the least influential construct. Conclusion: The findings suggest that healthcare system should be designed to provide more definite and personalized benefits to customers to enhance social and individual benefits by getting more participation from customers. Also, it is desirable that the requesting stakeholder of PHI would be non-profit organizations such as hospital, government or public agencies to secure more willingness of PHI from people. Furthermore, it is implied that extensive information gathering and utilization, instead of excluding sensitive information or critical patients' records, is recommended which is substantial to invigorate the healthcare industry.

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
    • /
    • v.28 no.1
    • /
    • pp.97-114
    • /
    • 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.

Impact of Privacy Concern and Institutional Trust on Privacy Decision Making: A Comparison of E-Commerce and Location-Based Service (프라이버시 염려와 제도적 신뢰가 프라이버시 의사결정에 미치는 영향: 전자상거래와 위치기반서비스의 비교)

  • Kim, Sanghee;Kim, Jongki
    • Journal of the Korea Industrial Information Systems Research
    • /
    • v.22 no.1
    • /
    • pp.69-87
    • /
    • 2017
  • This Research Attempted to Clarify the Eeffect of Privacy Concern and Institutional Trust on Privacy Decision based on Privacy Calculus Perspective. We Developed a Research Model Suggesting that the Influence of Privacy Benefit and Privacy risk on the Information Disclosure Behavior and the Influence of Privacy Concern and Institutional Trust on the Privacy Calculus. In this Regard, in Order to Examine the Difference According to the Target whose Personal Information was Collected, an Empirical Analysis was Conducted to Compare the E-commerce Field and LBS(Location Based Service) Field. The Results of Empirical Analysis are as follows. First, it is Founded that other Relations were All Statistically Significant Except the Relation between Privacy Risk and Information Disclosure Behavior in the LBS group. Next, as a Results of Comparison of Constructs in the E-commerce and Institutional trust than the LBS group, Identifying that the Consumers are more Sensitive to the Personal Information Collected in the E-commerce site.

A Study on the Factors Affecting the User Resistance in Social Network Service (Social Network Service에서의 사용자 저항에 영향을 미치는 요인에 관한 연구)

  • Park, Eunkyung;Choi, Jeongil;Yeon, Jiyoung
    • Journal of the Korean Society for Quality Management
    • /
    • v.42 no.3
    • /
    • pp.387-406
    • /
    • 2014
  • Purpose: The widespread use of social network services (SNS) has caused users concern about the disclosure of their privacy or personal information. The purpose of this study is to analyze the factors of privacy concern and self presentation that affect the user resistance in the use of social network service. Methods: This study verifies the factors that affecting the user resistance in SNS. The research model suggested in this study is tested via a survey of 260 SNS users. SPSS and Smart PLS had been used to test the suggested hypotheses. Results: This study shows that privacy experience, privacy awareness, self esteem, and social desirability significantly influence perceived risk and that privacy awareness, self esteem, self efficacy, and perceived risk significantly influence perceived trust. It also verifies that perceived risk and perceived trust positively affect user resistance. Conclusion: This paper suggests that high awareness on privacy of SNS user encourages the SNS companies to consider the privacy protection mechanism for eliminating various factors that affecting the risk. This study also shows that the privacy calculus model applies to understanding the mechanism on resistance of SNS user.

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
    • /
    • v.17 no.2
    • /
    • pp.68-85
    • /
    • 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.

  • PDF