• 제목/요약/키워드: Risk Calculus

검색결과 22건 처리시간 0.021초

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

  • 김상희;김종기
    • 한국정보시스템학회지:정보시스템연구
    • /
    • 제25권3호
    • /
    • 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.

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

  • 김종기;김상희
    • 한국정보시스템학회지:정보시스템연구
    • /
    • 제21권4호
    • /
    • 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.

신체 정보를 활용한 사이즈 추천 서비스에 대한 소비자의 정보 프라이버시 염려와 정보 제공 의도 -프라이버시 계산 이론을 중심으로 (Effect of Consumers' Privacy Concerns on Information Disclosure Intentions for Size Recommendation Services Based on Body Information -Focusing on Privacy Calculus Theory)

  • 서상우
    • 한국의류학회지
    • /
    • 제47권3호
    • /
    • pp.442-458
    • /
    • 2023
  • This study aimed to elucidate the information privacy attitudes and behaviors of users of size recommendation services based on body information. Focusing on the privacy calculus theory, the effects of information privacy concerns as well as perceived risk and benefit of information disclosure on information disclosure intention were analyzed. Consumers who used size recommendation services based on body information were surveyed from August 18 to 24, 2022. Analysis of the 251 responses collected revealed that information privacy concerns did not significantly affect information disclosure intention. Information privacy concerns had a positive effect on perceived privacy risk; however, perceived privacy risk had a negative effect on information disclosure intention, while perceived privacy benefit had a positive effect on information disclosure intention. Therefore, the privacy calculus theory confirms the existence of the privacy paradox, revealing perceived privacy benefit has a greater impact on information disclosure intention than perceived privacy risk.

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

  • 김진성;김종기
    • 한국정보시스템학회지:정보시스템연구
    • /
    • 제26권1호
    • /
    • 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.

일부지역 근로자의 대사증후군 위험요인별 분류와 구강건강상태 비교 (Comparison of oral health status by metabolic syndrome risk factors in workers)

  • 구인영;문선정;이명선;가경환
    • 한국치위생학회지
    • /
    • 제13권4호
    • /
    • pp.581-588
    • /
    • 2013
  • Objectives : The aim of the study si to investigate correlation between metabolic syndrome risk factors and oral health status in workers and to propose the integrated and effective management measures. Methods : Subjects were 4,600 workers in industrial company. Data by medical checkup and oral examination were collected from July 13, 2010 to September 12, 2010. Self-reported questionnaire included general characteristics, job description, smoking, drinking, and metabolic syndrome risk factor indicators. Gingivitis, dental calculus and missing tooth tended to have more metabolic syndrome risk factors. Data were analyzed by descriptive statistics, chi-square test, correlation analysis, logistic regression using SPSS version 18.0. Results : Dental caries revealed 1.146 times higher than the control group. Risk group showed the following results; gingivitis was 1.317 times higher in risk group and 1.612 times in metabolic syndrome. Dental calculus was 1.532 times higher in risk group and 1.557 times in metabolic syndrome. Mssing teeth were 1.976 higher in metabolic syndrome. Conclusions : Metabolic syndrome risk factors had close correlation to poor raol health status. It is necessary to establish the effective plan for the oral health in workers.

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

  • 김종기
    • 디지털융복합연구
    • /
    • 제15권12호
    • /
    • pp.265-272
    • /
    • 2017
  • 스마트폰의 위치기반서비스가 활발히 사용됨에 따라 사용자들이 자신의 위치정보의 노출에 대한 염려가 커지고 있다. 본 연구는 프라이버시 계산 이론에 기반하여 스마트폰 사용자들이 자신의 위치정보의 제공을 어떻게 받아들이는지 확인하고자 연구모형을 개발하였다. 대학생을 대상으로 수집한 데이터를 SmartPLS를 이용하여 분석한 결과 프라이버시 계산 관점의 기존 연구와는 다른 결과를 얻었다. 프라이버시 계산이론은 인간은 합리적인 존재이며, 위험과 효과 측면을 고려하여 프라이버시 정보의 제공을 결정한다고 본다. 본 연구의 결과는 프라이버시 염려는 위험에 유의하게 영향을 미치나, 사용의도는 효과에 의해서 유의하게 영향을 미쳤다. 이러한 결과는 감정적 판단과 행동적 판단이 서로 상이한 요인에 의해서 영향을 받는다는 행동경제학적 관점과 일치한다.

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

  • 이동주;방영석;배윤수
    • 정보화정책
    • /
    • 제17권2호
    • /
    • pp.68-85
    • /
    • 2010
  • 본 연구는 프라이버시 계산 모형에 근거하여 정보 투명성이 개인 정보 제공 의사결정에 영향을 미치는 메커니즘을 규명하는 것을 목적으로 수행되었다. 제안된 연구 모형은 개인 정보 제공을 통한 웹사이트 이용의 인지된 유용성과 용이성을 정보 제공의 혜택 요인으로, 정보 프라이버시 위험을 정보 제공의 위험 요인으로 포함하고 있으며, 정보 투명성이 이들 요인에 미치는 영향을 이론적으로 제시하였다. 가상의 온라인 쇼핑 사이트에 대한 설문 조사를 통해 수집된 데이터를 이용하여 연구 모형에 대한 실증 분석을 수행하였다. 분석 결과는 정보 투명성이 웹사이트 이용의 인지된 유용성과 용이성을 증가시킴과 동시에 정보 제공에 따른 프라이버시 위험을 감소시킴으로써, 궁극적으로 개인 정보 제공 의도를 강화시킬 수 있음을 보여준다. 그리고 개인 정보를 요청하는 시점에 요청 이유와 용도에 대한 구체적인 설명을 제공함으로써 정보 투명성을 높일 수 있음도 제시한다.

  • PDF

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

  • 박은경;최정일;연지영
    • 품질경영학회지
    • /
    • 제42권3호
    • /
    • 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.

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

  • 이륜경;정남호;홍태호
    • 한국정보시스템학회지:정보시스템연구
    • /
    • 제28권1호
    • /
    • 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.

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

  • Kim, Yujin;Lee, Hyung-Seok
    • 한국컴퓨터정보학회논문지
    • /
    • 제27권1호
    • /
    • pp.193-200
    • /
    • 2022
  • 본 연구는 소셜로그인 서비스에서 프라이버시 염려를 유발하는 원인 및 이와 관련된 요인들을 분석하였다. 특히, 주인-대리인 이론을 바탕으로 지각된 정보 비대칭성, 서비스 제공자의 기회주의 우려 요인을 추출하였으며, 프라이버시 계산 이론 모델을 적용하여 프라이버시 염려와 사용의도 간의 관계를 분석하였다. 연구 결과에 따르면 지각된 정보 비대칭성은 정보 프라이버시 염려에 유의한 영향을 미치지 못했으며, 서비스 제공자의 기회주의 우려는 유의한 영향을 미치는 것으로 나타났다. 또한 정보 프라이버시 염려는 지각된 위험에 유의미한 영향을 미치는 것으로 나타났으며, 프라이버시 계산 이론에 따라 소셜로그인 서비스를 이용함으로써 발생되는 잠재적 손실보다 기대되는 이익이 클수록 사용의도가 증가하는 것을 확인하였다. 본 연구의 결과는 소셜로그인 서비스 기업들이 고객의 정보 프라이버시 보호 행동에 대해 이해하고 서비스를 개선시키는데 도움을 줄 것으로 본다.