Internet Privacy Concerns: A Replication And Parsimonious Extension

Privacy concerns is a widely used construct in Information Systems research. Several different conceptualizations and taxonomies have been proposed but the Internet Privacy Concerns construct by Hong & Thong (2013) offers a more comprehensive approach to integrate previous research. The Internet Privacy Concerns construct is operationalized by an 18-item scale with six sub-dimensions. The present study aims to replicate and validate the best fitting model previously identified as a third-order construct with two second-order constructs, and six first-order dimensions. In addition, this research proposes a more parsimonious three-item criterion measure of internet privacy concerns which can offer researchers a more participant-friendly approach to measuring this relevant construct in IS research. Preliminary results are presented which confirm the original model and support the new criterion measures for internet privacy concerns, called hereafter Parsimonious Internet Privacy Concerns (PIPC) scale.