Factors affecting adoption of online banking: A meta-analytic structural equation modeling study

• We use Grounded-Theory Literature Review method to review the online banking literature.
• We identify factors affecting pre-adoption and post-adoption of the online banking.
• We use two-stage random-effects MASEM to assess our theoretical models.
• We show that ten factors affect consumers’ adoption of the online banking.
• The relative importance of ten factors depends on the stage of adoption.

Despite the potential benefits that online banking offers consumers, it has low adoption rate. We systematically review online banking adoption literature to propose two research models of factors affecting pre-adoption and post-adoption of the online banking. To test our proposed models, we applied a two-stage random-effects meta-analytic structural equation modeling method to data collected from 25,265 cases from primary empirical studies of online banking adoption. Our findings show that ten factors affect consumers’ adoption of the online banking. Furthermore, we show that the relative importance of these factors differs depending on consumers’ pre-adoption and post-adoption of the online banking.