Calculus Interdependency, Personality Contingency, and Causal Asymmetry: Toward a Configurational Privacy Calculus Model of Information Disclosure

2021 ◽  
pp. 103556
Author(s):  
Yongqiang Sun ◽  
Nan Wang ◽  
Xiao-Liang Shen
Keyword(s):  
Information Disclosure ◽  
Causal Asymmetry ◽  
Privacy Calculus

Online Social Networks: Why We Disclose

2010 ◽  
Vol 25 (2) ◽  
pp. 109-125 ◽  
Author(s):  
Hanna Krasnova ◽  
Sarah Spiekermann ◽  
Ksenia Koroleva ◽  
Thomas Hildebrand
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Information Disclosure ◽  
Structural Equation ◽  
Personal Information ◽  
Equation Model ◽  
Self Disclosure ◽  
Network Provider ◽  
Privacy Calculus ◽  
Privacy Risks

On online social networks such as Facebook, massive self-disclosure by users has attracted the attention of Industry players and policymakers worldwide. Despite the Impressive scope of this phenomenon, very little Is understood about what motivates users to disclose personal Information. Integrating focus group results Into a theoretical privacy calculus framework, we develop and empirically test a Structural Equation Model of self-disclosure with 259 subjects. We find that users are primarily motivated to disclose Information because of the convenience of maintaining and developing relationships and platform enjoyment. Countervailing these benefits, privacy risks represent a critical barrier to information disclosure. However, users’ perception of risk can be mitigated by their trust in the network provider and availability of control options. Based on these findings, we offer recommendations for network providers.

Information disclosure on mobile devices: Re-examining privacy calculus with actual user behavior

2013 ◽  
Vol 71 (12) ◽  
pp. 1163-1173 ◽  
Author(s):  
Mark J. Keith ◽  
Samuel C. Thompson ◽  
Joanne Hale ◽  
Paul Benjamin Lowry ◽  
Chapman Greer
Keyword(s):  
Mobile Devices ◽  
Information Disclosure ◽  
User Behavior ◽  
Privacy Calculus

scholarly journals Investigating Privacy and Information Disclosure Behavior in Social Electronic Commerce

2019 ◽  
Vol 11 (12) ◽  
pp. 3311 ◽  
Author(s):  
Yuan Sun ◽  
Shuyue Fang ◽  
Yujong Hwang
Keyword(s):  
Information Disclosure ◽  
Current Trend ◽  
Perceived Benefits ◽  
Privacy Concern ◽  
Privacy Concerns ◽  
Group Buying ◽  
Internet Users ◽  
Privacy Calculus ◽  
Negative Impacts ◽  
A Current

Social e-commerce has steadily emerged as a current trend for an enormous amount of Internet users. Despite the popularity and prevalence of social e-commerce, many users hesitate to disclose their information due to privacy concerns. This resistance from users impedes the development of social e-commerce enterprises. In order to help enterprises collect more user information and establish better development strategies, this research builds on the Privacy Antecedent-Privacy Concern-Outcomes (APCO) model and the theory of privacy calculus. This research investigates how the privacy antecedents of hot topic interactivity and group buying experience influence users’ privacy concerns and perceived benefits as well as how to further influence users’ information disclosure behavior. The results from 406 questionnaire responses indicate that hot topic interactivity and group buying experience have significant negative impacts on privacy concerns and significant positive impacts on perceived benefits. Privacy concerns negatively influence the behavior of information disclosure while perceived benefits positively influence the behavior of information disclosure. Based on these results, social e-commerce enterprises should promote users’ behaviors of hot topic interactivity and group buying to stimulate users’ information disclosure behavior.

scholarly journals Privacy Personas for IoT-Based Health Research: A Privacy Calculus Approach

2021 ◽  
Vol 3 ◽  
Author(s):  
Benjamin Maus ◽  
Carl Magnus Olsson ◽  
Dario Salvi
Keyword(s):  
Data Collection ◽  
Citizen Science ◽  
Health Research ◽  
Information Disclosure ◽  
Online Survey ◽  
Digital Health ◽  
Health Data ◽  
User Engagement ◽  
Privacy And Security ◽  
Privacy Calculus

The reliance on data donation from citizens as a driver for research, known as citizen science, has accelerated during the Sars-Cov-2 pandemic. An important enabler of this is Internet of Things (IoT) devices, such as mobile phones and wearable devices, that allow continuous data collection and convenient sharing. However, potentially sensitive health data raises privacy and security concerns for citizens, which research institutions and industries must consider. In e-commerce or social network studies of citizen science, a privacy calculus related to user perceptions is commonly developed, capturing the information disclosure intent of the participants. In this study, we develop a privacy calculus model adapted for IoT-based health research using citizen science for user engagement and data collection. Based on an online survey with 85 participants, we make use of the privacy calculus to analyse the respondents' perceptions. The emerging privacy personas are clustered and compared with previous research, resulting in three distinct personas which can be used by designers and technologists who are responsible for developing suitable forms of data collection. These are the 1) Citizen Science Optimist, the 2) Selective Data Donor, and the 3) Health Data Controller. Together with our privacy calculus for citizen science based digital health research, the three privacy personas are the main contributions of this study.

scholarly journals Do privacy concerns determine online information disclosure? The case of internet addiction

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nik Thompson ◽  
Atif Ahmad ◽  
Sean Maynard
Keyword(s):  
Internet Addiction ◽  
Information Disclosure ◽  
Structural Equation ◽  
Cost Benefit ◽  
Online Information ◽  
Self Disclosure ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Calculus ◽  
The Impact

Purpose It is a widely held belief that users make a rational cost-benefit decision when choosing whether to disclose information online. Yet, in the privacy context, the evidence is far from conclusive suggesting that strong and as-yet unmeasured influences on behaviour may exist. This paper aims to demonstrate one such link – the effect of internet addiction on information disclosure. Design/methodology/approach Data from 216 Web users was collected regarding their perceptions on privacy and information disclosure intentions as well as avoidance behaviour, an element of internet addiction. Using a research model based on the Privacy Calculus theory, structural equation modelling was applied to quantify the determinants of online disclosure under various conditions. Findings The authors show that not all aspects of privacy (a multi-dimensional construct) influence information disclosure. While concerns about data collection influence self-disclosure behaviour, the level of awareness about privacy does not. They next examine the impact of internet addiction on these relationships, finding that internet addiction weakens the influence of privacy concerns to the point of non-significance. Originality/value The authors highlight some of the influences of self-disclosure behaviour, showing that some but not all aspects of privacy are influential. They also demonstrate that there are powerful influences on user behaviour that have not been accounted for in prior work; internet addiction is one of these factors. This provides some of the first evidence of the potentially deleterious effect of internet addiction on the privacy calculus.

Users' affect and satisfaction in a privacy calculus context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad S. Najjar ◽  
Laila Dahabiyeh ◽  
Raed Salah Algharabat
Keyword(s):  
Mobile Device ◽  
Information Disclosure ◽  
Personal Information ◽  
Mobile Apps ◽  
Mobile App ◽  
Perceived Benefits ◽  
Content Type ◽  
Perceived Risks ◽  
Privacy Calculus ◽  
The Impact

PurposeMobile device users are frequently faced with a decision to allow access to their personal information that resides on their devices in order to install mobile applications (apps) and use their features. This paper examines the impact of satisfaction on the intention to allow access to personal information. The paper achieves this by acknowledging the affective and cognitive components of satisfaction derived from affect heuristic and privacy calculus theories, respectively.Design/methodology/approachSurvey data was collected from mobile device users who download and install mobile apps on their devices. Overall, 489 responses were collected and analyzed using LISREL 8.80.FindingsThe findings suggest that personal information disclosure decision is mainly a matter of being satisfied with the mobile app or not. We show that perceived benefits are more critical than perceived risks in determining satisfaction, and that perceived benefits influence intention to allow access to personal information indirectly through satisfaction.Originality/valueThis study offers a more nuanced analysis of the influence of satisfaction by examining the role of its two components: the cognitive (represented in perceived benefits and perceived risks) and the affective (represented in affect). We show that information disclosure decision is a complicated process that combines both rational and emotional elements.

Trust and Perceived Risk of Personal Information as Antecedents of Online Information Disclosure

2012 ◽  
pp. 341-361
Author(s):  
Horst Treiblmaier ◽  
Sandy Chong
Keyword(s):  
Perceived Risk ◽  
Information Disclosure ◽  
Personal Information ◽  
The Internet ◽  
Online Information ◽  
Data Types ◽  
Specific Data ◽  
Willingness To Disclose ◽  
Online Vendor ◽  
Privacy Calculus

Individuals have to disclose personal information in order to utilize the manifold options of the Internet. Online users frequently trade data for benefits (privacy calculus). Trust in both the Internet and the vendor has been identified as an important antecedent to disclosing personal information online. The authors introduce the perceived risk of disclosing specific data types as an additional factor in the field of study. The results from a survey in three countries (Austria, Australia, and Hong Kong) show that the perceived risk of disclosing personal information is a stronger stimulus for the intention to provide personal information than having trust in the Internet or in the online vendor. Several significant differences are found in the relationships between the perceived risk of disclosing personal information, trust, and the willingness to disclose personal information.

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