Testing a model of precautionary online behaviour: The case of online banking

作者：

Highlights：

• Protection motivation theory is successfully applied to the context of online banking.

• Threat and coping appraisal predict protection motivation in online banking.

• Response efficacy and self-efficacy are primary predictors of taking precautions.

• Additional threat and coping variables add explanatory power to the model.

• Demographic equivalence-testing can aid in targeting specific groups.

摘要

•Protection motivation theory is successfully applied to the context of online banking.•Threat and coping appraisal predict protection motivation in online banking.•Response efficacy and self-efficacy are primary predictors of taking precautions.•Additional threat and coping variables add explanatory power to the model.•Demographic equivalence-testing can aid in targeting specific groups.

论文关键词：Protection motivation theory,Information security behaviour,Online banking,Risk,Coping

论文评审过程：Received 2 March 2016, Revised 21 July 2017, Accepted 6 May 2018, Available online 8 May 2018, Version of Record 15 June 2018.

论文官网地址：https://doi.org/10.1016/j.chb.2018.05.010