Am I Safe? Exploring Relationships between Primary Territories and Online Privacy

Pan, Jing; Lieber, Paul S.

doi:10.1080/15332861.2010.487413

Cited by 13 publications

(6 citation statements)

References 29 publications

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“…In this case, they will perceive low accountability in their social interactions and possess a sense of immunity (Moral-Toranzo et al 2007). Conversely, if individuals sense that others know their identity information, they will be held responsible for their online adventures (e.g., Ji andLieber 2010, Xu et al 2011).…”

Section: Hyperpersonal Framework Andmentioning

confidence: 98%

Research Note—Privacy Concerns and Privacy-Protective Behavior in Synchronous Online Social Interactions

Jiang

Heng

Choi

2013

Information Systems Research

255

165

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P rivacy is of prime importance to many individuals when they attempt to develop online social relationships.Nonetheless, it has been observed that individuals' behavior is at times inconsistent with their privacy concerns, e.g., they disclose substantial private information in synchronous online social interactions, even though they are aware of the risks involved. Drawing on the hyperpersonal framework and the privacy calculus perspective, this paper elucidates the interesting roles of privacy concerns and social rewards in synchronous online social interactions by examining the causes and the behavioral strategies that individuals utilize to protect their privacy. An empirical study involving 251 respondents was conducted in online chat rooms. Our results indicate that individuals utilize both self-disclosure and misrepresentation to protect their privacy and that social rewards help explain why individuals may not behave in accordance with their privacy concerns. In addition, we find that perceived anonymity of others and perceived intrusiveness affect both privacy concerns and social rewards. Our findings also suggest that higher perceived anonymity of self decreases individuals' privacy concerns, and higher perceived media richness increases social rewards. Generally, this study contributes to the information systems literature by integrating the hyperpersonal framework and the privacy calculus perspective to identify antecedents of privacy trade-off and predict individuals' behavior in synchronous online social interactions.

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Section: Hyperpersonal Framework Andmentioning

confidence: 98%

Research Note—Privacy Concerns and Privacy-Protective Behavior in Synchronous Online Social Interactions

Jiang

Heng

Choi

2013

Information Systems Research

255

165

View full text Add to dashboard Cite

show abstract

“…The CPM theory was used in many prior studies to understand the information flow in dyadic relationships such as marital, parental and doctor-patient relationships [26]. Thus and due to its success in understanding of information flow in dyadic relationships, many recent studies applied the theory to explain information privacy concerns generated by using various new technologies, for instance online social context [27] and e-commerce [28,29].…”

Section: Privacy Boundary Managementmentioning

confidence: 99%

Emerging Applications on Smart Phones: The Role of Privacy Concerns and its Antecedents on Smart Phones Usage

Al-Ghaith¹

2021

IJCSIT

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Many applications on smart Phones can use various sensors embedded in the mobiles to provide users’ private information. This can result in a variety of privacy issues that may lessening level of mobile apps usage. To understand this issue better the researcher identified the root causes of privacy concerns. The study proposed a model identifies the root causes of privacy concerns and perceived benefits based on our interpretation for information boundary theory. The proposed model also addresses the usage behavior and behavioral intention toward using mobile apps by using the Theory of Planned Behavior. The result shows that “Cultural values” alone explains 70% of “Perceived privacy concerns” followed by “Self-defense” which explains around 23% of “Perceived privacy concerns”, and then “Context of the situation” with 5%. Whereas, the findings show that “Perceived effectiveness of privacy policy” and “Perceived effectiveness of industry self-regulation” both are factors which have the ability to reduce individuals “Perceived privacy concerns” by 9% and 8% respectively.

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“…Obviously, the research framework could be broadened to include other external as well as individual factors, such as demographic characteristics. However, these are extensively studied in the literature (Chen et al, 2001;Zhang et al, 2002;Janda and Fair, 2004;Fogel and Nehmad, 2009;Hoy and Milne, 2010;Ji and Lieber, 2010;Joinson et al, 2010), and therefore are not included here. This research framework was designed to advance the knowledge on less explored individual and social antecedents of OPC and their impact on consumers' behavioral intentions.…”

Section: Extended Model Of Online Privacy Concernmentioning

confidence: 99%

Extended model of online privacy concern: what drives consumers’ decisions?

Anić

Budak

Rajh

et al. 2019

OIR

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Purpose The purpose of this paper is to investigate the relationship between individual and societal determinants of online privacy concern (OPC) and behavioral intention of internet users. The study also aims to assess the degree of reciprocity between consumers’ perceived benefits of using the internet and their OPC in the context of their decision-making process in the online environment. Design/methodology/approach The study proposes comprehensive model for analysis of antecedents and consequences of OPC. Empirical analysis is performed using the PLS–SEM approach on a representative sample of 2,060 internet users. Findings The findings show that computer anxiety and perceived quality of regulatory framework are significant antecedents of OPC, while traditional values and inclinations toward security, family and social order; and social trust are not. Furthermore, the study reveals that perceived benefits of using the internet are the predominant factor explaining the intention to share personal information and adopt new technologies, while OPC dominates in explanation of protective behavior. Research limitations/implications Although the authors tested an extended model, there might be other individual characteristics driving the level of OPC. This research covers just one country and further replications should be conducted to confirm findings in diverse socio-economic contexts. It is impossible to capture the real behavior with survey data, and experimental studies may be needed to verify the research model. Practical implications Managers should work toward maximizing perceived benefits of consumers’ online interaction with the company, while at the same time being transparent about the gathered data and their intended purpose. Considering the latter, companies should clearly communicate their compliance with the emerging new data protection regulation. Originality/value New extended model is developed and empirically tested, consolidating current different streams of research into one conceptual model.

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Am I Safe? Exploring Relationships between Primary Territories and Online Privacy

Cited by 13 publications

References 29 publications

Research Note—Privacy Concerns and Privacy-Protective Behavior in Synchronous Online Social Interactions

Research Note—Privacy Concerns and Privacy-Protective Behavior in Synchronous Online Social Interactions

Emerging Applications on Smart Phones: The Role of Privacy Concerns and its Antecedents on Smart Phones Usage

Extended model of online privacy concern: what drives consumers’ decisions?

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