Does social banking matter in times of crisis? Evidence from the COVID-19 pandemic: a combined SEM-neural network approach

Abstract

PurposeThe purpose of this study was to investigate the factors that would influence the intention to use social banking during the coronavirus disease 2019 (COVID-19) pandemic. This study integrated two theories, namely the integrated technology acceptance model (TAM), which focused on the acceptance of technology by consumers, and electronic word of mouth (eWOM), which focused on consum was consistent with the neural network method of the important factors.Practical implicationsThe results of this research could initiate issues that should be developed for the continued use of online banking among consumers in the context of developing countries, such as Thailand.Originality/valueThis research model provided guidelines for the effective development of mobile banking applications for use on mobile devices. The results of this research made strong theoretical contributions to the existing literature on online banking and offered procedures and information to the relevant sectors.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2022-0709

Guest editorial: Introduction to the special issue: “social action and economic restructuring in the (post-) COVID-19 era”

“…The paper “ Does social banking matter in times of crisis? Evidence from the COVID-19 pandemic: a combined SEM-neural network approach ” by Thongsri and Tripak (2024) examines factors influencing the intention to use social banking during the pandemic. It integrates two theories, the integrated technology acceptance model (TAM) and electronic word of mouth (eWOM), focusing on technology acceptance and consumer behavior, respectively.…”