scholarly journals A Study on the Internet User's Economic Behavior of Provision of Personal Information: Focused on the Privacy Calculus, CPM Theory

2017 ◽  
Vol 26 (1) ◽  
pp. 93-123
Author(s):  
Jinsung Kim ◽  
Jongki Kim
Author(s):  
Horst Treiblmaier ◽  
Sandy Chong

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.


2011 ◽  
Vol 19 (4) ◽  
pp. 76-94 ◽  
Author(s):  
Horst Treiblmaier ◽  
Sandy Chong

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.


2010 ◽  
Vol 25 (2) ◽  
pp. 109-125 ◽  
Author(s):  
Hanna Krasnova ◽  
Sarah Spiekermann ◽  
Ksenia Koroleva ◽  
Thomas Hildebrand

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.


2019 ◽  
Author(s):  
◽  
Youssef Ramzi Mansour

Big data is a relatively new concept that refers to the enormous amount of data generated in a new era where people are selling, buying, paying dues, managing their health and communicating over the internet. It becomes natural that generated data will be analyzed for the purposes of smart advertising and social statistical studies. Social data analytics is the concept of micro-studying users interactions through data obtained often from social networking services, the concept also known as “social mining” offers tremendous opportunities to support decision making through recommendation systems widely used by e-commerce mainly. With these new opportunities comes the problematic of social media users privacy concerns as protecting personal information over the internet has become a controversial issue among social network providers and users. In this study we identify and describe various privacy concerns and related platforms as well as the legal frameworks governing the protection of personal information in different jurisdictions. Furthermore we discuss the Facebook and Cambridge Analytica Ltd incident as an example.


2019 ◽  
Author(s):  
Vaclav Janecek

This article analyses, defines, and refines the concepts of ownership and personal data to explore their compatibility in the context of EU law. It critically examines the traditional dividing line between personal and non-personal data and argues for a strict conceptual separation of personal data from personal information. The article also considers whether, and to what extent, the concept of ownership can be applied to personal data in the context of the Internet of Things (IoT). This consideration is framed around two main approaches shaping all ownership theories: a bottom-up and top-down approach. Via these dual lenses, the article reviews existing debates relating to four elements supporting introduction of ownership of personal data, namely the elements of control, protection, valuation, and allocation of personal data. It then explores the explanatory advantages and disadvantages of the two approaches in relation to each of these elements as well as to ownership of personal data in IoT at large. Lastly, the article outlines a revised approach to ownership of personal data in IoT that may serve as a blueprint for future work in this area and inform regulatory and policy debates.


Author(s):  
Adam N. Joinson ◽  
Carina B. Paine

This article examines the extant research literature on self-disclosure and the Internet, in particular by focusing on disclosure in computer-mediated communication and web-based forms – both in surveys and in e-commerce applications. It also considers the links between privacy and self-disclosure, and the unique challenges (and opportunities) that the Internet poses for the protection of privacy. Finally, the article proposes three critical issues that unite the ways in which we can best understand the links between privacy, self-disclosure, and new technology: trust and vulnerability, costs and benefits, and control over personal information. Central to the discussion is the notion that self-disclosure is not simply the outcome of a communication encounter: rather, it is both a product and process of interaction, as well as a way of regulating interaction dynamically. By adopting a privacy approach to understanding disclosure online, it becomes possible to consider not only media effects that encourage disclosure, but also the wider context and implications of such communicative behaviours.


Author(s):  
Julio Angulo

Frequent contact with online businesses requires Internet users to distribute large amounts of personal information. This spreading of users’ information through different Websites can eventually lead to increased probabilities for identity theft, profiling and linkability attacks, as well as other harmful consequences. Methods and tools for securing people’s online activities and protecting their privacy on the Internet, called Privacy Enhancing Technologies (PETs), are being designed and developed. However, these technologies are often perceived as complicated and obtrusive by users who are not privacy aware or are not computer or technology savvy. This chapter explores the way in which users’ involvement has been considered during the development process of PETs and argues that more democratic approaches of user involvement and data handling practices are needed. It advocates towards an approach in which people are not only seen as consumers of privacy and security technologies, but where they can play a role as the producers of ideas and sources of inspiration for the development of usable PETs that meet their actual privacy needs and concerns.


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