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 dep...
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| Published in | Journal of global information management Vol. 32; no. 1; pp. 1 - 19 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Hershey
IGI Global
01.01.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1062-7375 1533-7995 1533-7995 |
| DOI | 10.4018/JGIM.359210 |
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| 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. |
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| AbstractList | 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. |
| Audience | Trade |
| Author | Sargent, Carol Springer Koohang, Alex Svanadze, Salome |
| AuthorAffiliation | Middle Georgia State University, USA Mercer University, USA Caucasus International University, Georgia |
| AuthorAffiliation_xml | – name: Mercer University, USA – name: Caucasus International University, Georgia – name: Middle Georgia State University, USA |
| Author_xml | – sequence: 1 givenname: Carol surname: Sargent middlename: Springer fullname: Sargent, Carol Springer organization: Mercer University, USA – sequence: 2 givenname: Alex surname: Koohang fullname: Koohang, Alex organization: Middle Georgia State University, USA – sequence: 3 givenname: Salome surname: Svanadze fullname: Svanadze, Salome organization: Caucasus International University, Georgia |
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| SubjectTerms | Cybersecurity Data analysis Data collection Dependent variables Independent variables Internet of Things Multiple regression analysis Prediction models Predictions Privacy Variables |
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| Title | Users' Concerns and the Internet of Things (IoT) Risk Beliefs |
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