Faculty
Forough Shadbad
Assistant Professor of Business Information Systems
Business Information Systems

Forough Shadbad

541-737-1108

forough.shadbad@oregonstate.edu

Faculty
Forough Shadbad
Overview
Overview
Publications

Overview

Biography

Forough Shadbad obtained her Ph.D. in Management Science and Information Systems from Oklahoma State University and has been with OSU since 2021. Her research interests include Privacy and Security, Intentional/unintentional Insider Threats, and Technostress. She has published in the European Journal of Information Systems, Information Technology & People, Journal of Computer Information Systems, Communications of the Associations for Information Systems, Journal of Information Systems Education, and in the proceedings of the Americas Conference on Information Systems, the Hawaii International Conference on Systems Sciences, and other proceedings.

Credentials

Ph.D. Management Science and Information Systems, Oklahoma State University

Publications

Conference
BIS

“Do Measures of Security Compliance Intent Equal Non-Compliance Scenario Agreement?”

To better protect organizations from the threat of insiders, IS security (ISS) research frequently emphasizes IS Security Policy (ISP) behavior. The effectiveness of an assessment model is typically analyzed either using short survey statements (behavior survey) or by using scenario agreement (prospective scenario) to measure current and prospective compliance (or non-compliance) behavior. However, a significant gap is the lack of statistical evidence to demonstrate that these two measures or dependent variables (DV) sufficiently agree with one another. We report on an effort to compare and contrast two assessment models which employed alternate styles of DVs and demonstrate that the primary construct from two different ISS behavioral theories had approximately the same effect size on either of the DVs. Our findings add support for substantial (but not overly correlated) synchronization between the two DV values, since we also observe that the prospective scenario non-compliance measure resulted in lower model fit while the behavior survey compliance measures fit both models with higher accuracy. We discuss our findings and recommend that for many studies there can be value in employing both DVs.
Details

2022 WISP2022: 2022 Workshop on Information Security and Privacy (WISP) Byron Marshall Forough Shadbad David Biros