Cultural and Generational Influences on Information Privacy Concerns within Online Social Networks: An Empirical Evaluation of the Miltgen and Peyrat-Guillard Model

Faruk Arslan and Niharika Dayyala

Journal of Information Privacy and Security, 2017, vol. 13, issue 4, 238-259

Abstract: Growing use of the data generated via online social networking sites (SNS) for big data analytics renders the topic of information privacy as a critical concern and calls for a deeper investigation of individuals’ information privacy beliefs and behaviors. The primary goal of our research is to empirically test the effectiveness of the Miltgen and Peyrat-Guillard model in explaining the information privacy behavior of social network site users using a large-N sample from the European Union (EU). Results from the factor-based partial least squares - structural equation modeling (PLS-SEM) analysis provide partial support to this model. We elaborate on enhancements and discuss possible extensions to the model.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/15536548.2017.1412114 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:uipsxx:v:13:y:2017:i:4:p:238-259

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/uips20

DOI: 10.1080/15536548.2017.1412114

Access Statistics for this article

Journal of Information Privacy and Security is currently edited by Chuleeporn Changchit

More articles in Journal of Information Privacy and Security from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().