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

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.

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Publication Details

Journal
Journal of Global Information Management
Published
2024-10-31
DOI
https://doi.org/10.4018/jgim.359210
Citations
4
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.10
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article

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

Alex Koohang, Carol Springer Sargent, Salome Svanadze
4 citations
Journal of Global Information Management
Ethics and Social Impacts of AI
2.10
article

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

Alex Koohang, Carol Springer Sargent, Salome Svanadze
article en
4 citations

Abstract

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.

Journal of Global Information ManagementVol. 32(1)
Georgia State University (US), Mercer University Health Sciences Center (US), Caucasus International University (GE), Middle Georgia State University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Ethics and Social Impacts of AI
2.10
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