Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

8-2020

Abstract

In the post Snowden revelations 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”. Hence, in this paper, we propose and examine privacy concerns by extending the Hong and Thong’s (2013) model with the addition of two dimensions: right to be forgotten as well as government surveillance and oversight. We tested two different measurement models using privacy concerns as a second-order and a third-order construct within a nomological net that includes trusting beliefs and willingness-to-share information for monetary gains, personalization, and national security. Data were collected from MTurk and analyzed using structural equation modeling. Findings provide support for the addition of the proposed dimensions.

Keywords

Measurement model, Personalizations, Privacy concerns, Right to be forgotten, Structural equation modeling, Trusting beliefs, Two-dimension, Willingness to share

Discipline

Databases and Information Systems | Information Security | Technology and Innovation

Research Areas

Data Science and Engineering; Information Systems and Management; Intelligent Systems and Optimization

Publication

Proceedings of the 26th Americas Conference on Information Systems, Virtual, Online, 2020 August 10-14

Publisher

AIS

City or Country

Atlanta

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