Users' Concerns and the Internet of Things (IoT) Risk Beliefs

• Published in: Journal of global information management Vol. 32; no. 1; pp. 1 - 19
• Main Authors: Sargent, Carol Springer, Koohang, Alex, Svanadze, Salome
• Format: Journal Article
• Language: English
• Published: Hershey IGI Global 01.01.2024
• Subjects: Cybersecurity; Data analysis; Data collection; Dependent variables; Independent variables; Internet of Things; Multiple regression analysis; Prediction models; Predictions; Privacy; Variables; United States
• ISSN: 1062-7375; 1533-7995; 1533-7995
• DOI: 10.4018/JGIM.359210

This paper builds a prediction model with four predictor variables and one dependent variable. The predictor variables are users' concerns about IoT privacy, users' concerns about IoT security, users' concerns about IoT awareness, and users' concerns about IoT device use. The dependent variable is users' IoT risk beliefs. The prediction model determines the influential predictor variables that predict the users' IoT risk beliefs. An instrument with five constructs was designed and administered to subjects working in various organizations in the USA. Collected data from 386 usable data were analyzed through multiple regression analysis. The analysis was used to answer the study's research question, which asked which of the four independent/predictor variables are influential in predicting the dependent variable. Results indicated that all four predictor variables were influential in predicting users' IoT risk beliefs, with IoT security concerns more influential than the other three. The findings, theoretical implications, practical implications, and future work are discussed.