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 pro...