Will self‐regulation work in protecting online privacy?

Lee, Ya‐Ching

doi:10.1108/14684520310489069

Cited by 10 publications

(3 citation statements)

References 3 publications

(4 reference statements)

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“…The model uses Liu, Marchewka, Lu, and Yu's (2005) privacy-trustbehavioral intention model as a starting point. It also draws on the broader technology acceptance literature and recent work on e-privacy awareness and protection (Hahn, 2002;Jho, 2005;Lee, 2003;Metzger & Docter, 2003;Nath, 2005;Pfaffenberger, 1997;Suh & Han, 2003;Venkatesh & Davis, 2000).…”

Section: Research Model and Hypothesesmentioning

confidence: 98%

Examining the Impact of E-privacy Risk Concerns on Citizens’ Intentions to Use E-government Services: An Oman Perspective

Abri

2009

Journal of Information Privacy and Security

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Section: Research Model and Hypothesesmentioning

confidence: 98%

Examining the Impact of E-privacy Risk Concerns on Citizens’ Intentions to Use E-government Services: An Oman Perspective

Abri

2009

Journal of Information Privacy and Security

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“…Privacy policy literature debates on how much regulation is needed, and what is the best mechanism for reducing privacy risks (Lee, 2003;Xu et al, 2012). On the one hand, advocates of state intervention argue that state regulation is necessary to protect consumers from unfair practices of online firms and that the presence of online government regulation increases trust and reduces consumer concern, as internet users have limited knowledge and…”

Section: Conceptual Framework and Literature Reviewmentioning

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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“…Self‐regulation is preferred by governments and industry. Unfortunately, the Internet is not well suited for a successful self‐regulation regime (Lee, 2003). By following these few precautions, organizations will save valuable time and considerable expense:…”

Section: Recommendationsmentioning

confidence: 99%

E‐mail viruses: how organizations can protect their e‐mails

Shih

Chiang²

2004

Online Information Review

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An e‐mail virus is an e‐mail that can infect other programs by modifying them to include a replication of itself. When the infected e‐mails are opened, the e‐mail virus spreads itself to others. Today's society has seen a dramatic increase in the use of e‐mails. As a result, organizations must take even more precautions to guard against the introduction of e‐mail viruses into their systems. This paper discusses how organizations can protect their e‐mails from the intrusion of e‐mail virus and how to develop their own e‐mail virus security plan.

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Will self‐regulation work in protecting online privacy?

Cited by 10 publications

References 3 publications

Examining the Impact of E-privacy Risk Concerns on Citizens’ Intentions to Use E-government Services: An Oman Perspective

Examining the Impact of E-privacy Risk Concerns on Citizens’ Intentions to Use E-government Services: An Oman Perspective

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

E‐mail viruses: how organizations can protect their e‐mails

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