Measuring privacy concerns with government surveillance and right-to-be-forgotten in nomological net of trust and willingness-to-share

• Main Authors: BANSAL, Gaurav, NAH, Fiona Fui-hoon
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Measurement model; Personalizations; Privacy concerns; Right to be forgotten; Structural equation modeling; Trusting beliefs; Two-dimension; Willingness to share; Databases and Information Systems; Information Security; Technology and Innovation
• Online Access: https://ink.library.smu.edu.sg/sis_research/9470; https://ink.library.smu.edu.sg/context/sis_research/article/10470/viewcontent/Measuring_Privacy_Concerns_with_Government_Surveillance_and_Right_to_be_Forgotten_in_Nomological_Net_of_Trust_and_Willingness_to_Share.pdf
• Institution: Singapore Management University

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.