The Importance of Transparency and Willingness to Share Personal Information

This study investigates the extent to which individuals are willing to share their sensitive personal information with companies. The study examines whether skepticism can influence willingness to share information. Additionally, it seeks to determine whether transparency can moderate the relationship between skepticism and willingness to share and whether 1) companies perceived motives, 2) individual’s prior privacy violations, 3) individuals’ propensity to take risks, and 4) individuals self-efficacy act as antecedents of skepticism. Partial Least Squares (PLS) regression is used to examine the relationships between all the factors. The findings indicate that skepticism does have a negative impact on willingness to share personal information and that transparency can reduce skepticis

Couldn't or Wouldn't? the Influence of Privacy Concerns and Self-Efficacy in Privacy Management on Privacy Protection

Sampling 515 college students, this study investigates how privacy protection, including profile visibility, self-disclosure, and friending, are influenced by privacy concerns and efficacy regarding one's own ability to manage privacy settings, a factor that researchers have yet to give a great deal of attention to in the context of social networking sites (SNSs). The results of this study indicate an inconsistency in adopting strategies to protect privacy, a disconnect from limiting profile visibility and friending to self-disclosure. More specifically, privacy concerns lead SNS users to limit their profile visibility and discourage them from expanding their network. However, they do not constrain self-disclosure. Similarly, while self-efficacy in privacy management encourages SNS users to limit their profile visibility, it facilitates self-disclosure. This suggests that if users are limiting their profile visibility and constraining their friending behaviors, it does not necessarily mean they will reduce self-disclosure on SNSs because these behaviors are predicted by different factors. In addition, the study finds an interaction effect between privacy concerns and self-efficacy in privacy management on friending. It points to the potential problem of increased risk-taking behaviors resulting from high self-efficacy in privacy management and low privacy concerns.Radio-Television-Fil

On-line privacy behavior: using user interfaces for salient factors

The problem of privacy in social networks is well documented within literature; users have privacy concerns however, they consistently disclose their sensitive information and leave it open to unintended third parties. While numerous causes of poor behaviour have been suggested by research the role of the User Interface (UI) and the system itself is underexplored. The field of Persuasive Technology would suggest that Social Network Systems persuade users to deviate from their normal or habitual behaviour. This paper makes the case that the UI can be used as the basis for user empowerment by informing them of their privacy at the point of interaction and reminding them of their privacy needs. The Theory of Planned Behaviour is introduced as a potential theoretical foundation for exploring the psychology behind privacy behaviour as it describes the salient factors that influence intention and action. Based on these factors of personal attitude, subjective norms and perceived control, a series of UIs are presented and implemented in controlled experiments examining their effect on personal information disclosure. This is combined with observations and interviews with the participants. Results from this initial, pilot experiment suggest groups with privacy salient information embedded exhibit less disclosure than the control group. This work reviews this approach as a method for exploring privacy behaviour and proposes further work required

The digital glass house - Social networking and privacy

Since the explosion of the Internet age, nearly 2 billion people are connected to the World Wide Web, creating seemingly limitless opportunities for communication and collaboration including social networking. Communication is virtually instantaneous and vast amounts of information are available at the touch of a key.In such an open digital environment, we take it for granted that almost any information can be sourced online by anyone with Internet access.The rapid growth of the social networking sites (SNS) such as Facebook, which reaches 500 million users recently, has coincided with an increasing concern over personal privacy.This study examines how Facebook users' perceptions of privacy, frequency of use, and the disclosure of their personal information with other users. This study was guided by two research questions: What are the Facebook users' perceptions of privacy and what is the personal information they disclose to other users? Does the Facebook users' frequency of use affect their disclosure of personal information? 149 respondents from the researcher's own Facebook profile filled up a Web-based questionnaire in August 2010. The data was analyzed using descriptive and inferential statistics.The research hypothesized that higher levels of privacy perception will result in less disclosure of personal information and the more active a user is on Facebook, the greater will be the user's likelihood of maintaining a private profile. The results of chi-square tests and correlation analysis found significant positive relationships between privacy perception and the disclosure of personal information, and no significant relationships between frequency of use and disclosure of personal information. Recommendations for future researchers were also included

The Impacts of Privacy Rules on Users' Perception on Internet of Things (IoT) Applications: Focusing on Smart Home Security Service

Department of Management EngineeringAs communication and information technologies advance, the Internet of Things (IoT) has changed the way people live. In particular, as smart home security services have been widely commercialized, it is necessary to examine consumer perception. However, there is little research that explains the general perception of IoT and smart home services. This article will utilize communication privacy management theory and privacy calculus theory to investigate how options to protect privacy affect how users perceive benefits and costs and how those perceptions affect individuals??? intentions to use of smart home service. Scenario-based experiments were conducted, and perceived benefits and costs were treated as formative second-order constructs. The results of PLS analysis in the study showed that smart home options to protect privacy decreased perceived benefits and increased perceived costs. In addition, the perceived benefits and perceived costs significantly affected the intention to use smart home security services. This research contributes to the field of IoT and smart home research and gives practitioners notable guidelines.ope