Understanding online safety behaviors: A protection motivation theory perspective
| Autor: | Mengtian Jiang, Saleem Alhabash, Robert LaRose, Nora J. Rifon, Hsin-yi Sandy Tsai, Shelia R. Cotten |
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| Rok vydání: | 2016 |
| Předmět: |
Online security
Coping (psychology) General Computer Science 05 social sciences Applied psychology 02 engineering and technology Habit strength Computer security computer.software_genre Response efficacy Protection motivation theory 020204 information systems 0502 economics and business 0202 electrical engineering electronic engineering information engineering Safety behaviors 050211 marketing Moral responsibility Psychology Explanatory power Law computer |
| Zdroj: | Computers & Security. 59:138-150 |
| ISSN: | 0167-4048 |
| DOI: | 10.1016/j.cose.2016.02.009 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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