Publication Type
Journal Article
Version
acceptedVersion
Publication Date
4-2022
Abstract
In the post-Snowden revelation era, concerns related to government surveillance and oversight have come to the forefront. The ability of the Internet to remember “everything” (or forget anything) also raises a privacy concern associated with the right to be forgotten (RTBF). In this paper, we examine the conceptualization of Internet privacy concerns (IPC) by extending Hong and Thong's (2013) model with the addition of two dimensions: oversight (i.e., due to surveillance) and the RTBF. We provide theoretical and empirical evidence for our proposed integrated conceptualization. Data were collected from Amazon's Mechanical Turk and analyzed with structural equation modeling using a nomological network that includes trusting beliefs. This research contributes to a better understanding of the conceptualization of IPC and provides a reliable and valid contemporary instrument for IPC.
Keywords
Privacy concerns, Right to be forgotten, Surveillance, Oversight
Discipline
Databases and Information Systems | Information Security
Research Areas
Data Science and Engineering
Publication
Information & Management
Volume
59
Issue
3
First Page
1
Last Page
17
ISSN
0378-7206
Identifier
10.1016/j.im.2022.103618
Publisher
Elsevier
Citation
BANSAL, Gaurav and NAH, Fiona Fui-hoon.
Internet privacy concerns revisited: Oversight from surveillance and right to be forgotten as new dimensions. (2022). Information & Management. 59, (3), 1-17.
Available at: https://ink.library.smu.edu.sg/sis_research/9541
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.im.2022.103618