Understanding online safety behaviors: A protection motivation theory perspective
Internet users experience a variety of online security threats that require them to enact safety precautions. Protection motivation theory (PMT) provides a theoretical framework for understanding Internet users' security protection that has informed past research. Ongoing research on online saf...
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| Veröffentlicht in: | Computers & security 2016-06, Vol.59, p.138-150 |
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| container_title | Computers & security |
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| creator | Tsai, Hsin-yi Sandy Jiang, Mengtian Alhabash, Saleem LaRose, Robert Rifon, Nora J. Cotten, Shelia R. |
| description | Internet users experience a variety of online security threats that require them to enact safety precautions. Protection motivation theory (PMT) provides a theoretical framework for understanding Internet users' security protection that has informed past research. Ongoing research on online safety recommends new motivational factors that are integrated here in a PMT framework for the first time. Using PMT, a cross-sectional survey (N = 988) of Amazon Mechanical Turk (MTurk) users was conducted to examine how classical and new PMT factors predicted security intentions. Coping appraisal variables were the strongest predictors of online safety intentions, especially habit strength, response efficacy, and personal responsibility. Threat severity was also a significant predictor. Incorporating additional factors (i.e., prior experiences, subjective norms, habit strength, perceived security support, and personal responsibility) into the conventional PMT model increased the model's explanatory power by 15%. Findings are discussed in relation to advancing PMT within the context of online security for home computer users. |
| doi_str_mv | 10.1016/j.cose.2016.02.009 |
| format | Article |
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| ispartof | Computers & security, 2016-06, Vol.59, p.138-150 |
| issn | 0167-4048 1872-6208 |
| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Computer information security Computer security Computer use Cross sections Habit strength Habits Internet Mathematical models Motivation Network security Online Online safety Protection motivation theory Response cost Safety Strength Studies |
| title | Understanding online safety behaviors: A protection motivation theory perspective |
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