The antecedents of m-banking usage under capital controls in Greece – a mixed methods approach

Abstract

PurposeCapital controls restrict cash withdrawals and international transfers, among other restrictions. The purpose of the study is to explore how capital controls have influenced m-banking usage and disclose the underlying factors that explain m-banking usage intentions.Design/methodology/approachGrounded on the Technology Acceptance Model (TAM), this study assumes that usage behavior may be different from intentions to adopt. In-depth interviews (study 1) were employed with both consumers and bank employees to explore the factors of m-banking adoption under capital controls, followed by an online survey (study 2) pertaining to examine the relationships between underlying factors.FindingsStudy 1 reveals that the growth of m-banking usage is strongly associated with capital controls that perceived ease of use, usefulness, risk, technology anxiety and decision comfort are significant attributes in influencing usage intention. Study 2 verifies that most underlying factors are important predictors of m-banking usage intention, except technology anxiety does not impact m-banking usage.Research limitations/implicationsThe respective effects on usage intentions may be different in the absence of capital controls. A similar study could examine the importance of the respective constructs in conditions of no forced use. The case of forcing consumers to adopt a technological innovation could be further explored.Practical implicationsRetail banking consumers have changed their banking and financing behaviors because of capital controls. Forced usage may cause customers to cultivate positive attitudes towards the technology and consider it for continuous usage.Originality/valueCapital controls were found to impact positively customer behavior towards m-banking. It is revealed that capital controls have forced bank customers to adopt and use m-banking for their financial needs.

A systematic review of the behavior intention on mobile banking and stock trading

“…A small number of articles use innovation diffusion theory (IDT), UTAUT2, the theory of reasoned action (TRA), the decomposed theory of planned behavior (DTPB), the decomposed theory of reasoned action (DTAM), prospect theory, the elaboration likelihood model (ELM), the stimulus-organism-response (S-O-R), the information system success model (ISSM), protection motivation theory (PMT), trust theory, the theory of affordances, and the theory of consumption values. The systematic literature review included 51 journals or articles, which are (Purohit & Arora, 2023;Almajali et al, 2023;Kim et al, 2023;Petrović et al, 2022;Patsiotis et al, 2022;Nguyen et al, 2022;Kimiagari & Baei, 2022;Chan et al, 2022;Jain et al, 2022;Lee & Chen, 2022;Al Moosa et al, 2021;Jadil et al, 2021;Kamdjoug et al, 2021;Karjaluoto et al, 2021;Merhi et al, 2021;Raut, 2020;Chaouali et al, 2020;Elhajjar & Ouaida, 2020;Shankar et al, 2020;Usman et al, 2020;Trinh et al, 2020;Owusu et al, 2019;Akhtar & Das, 2019;Athanasopoulou et al, 2019;Lai, 2019;Shareef et al, 2018;Farah et al, 2018;Singh & Srivastava, 2018;Alalwan et al, 2018;Chaouali et al, 2017;Glavee-Geo et al, 2017;Makanyeza, 2017;Sivaramakrishnan et al, 2017;Çal & Lambkin, 2017;Baptista & Oliveira, 2017;Sreejesh et al,. 2016;…”