An investigation of users’ continuance intention towards mobile banking in China

Abstract

The long-term development of mobile banking (m-banking) relies on users’ continued usage. Motivated by the need to better understand the motivations and barriers of users’ continuance intention towards m-banking, this study develops a research model based on the incorporation of the technology acceptance model (TAM): task-technology fit model (TTF) and perceived risk into the expectance-confirmation model (ECM). Empirical data from 434 users who had prior experience with m-banking were tested against the proposed research model by using structural equation modeling (SEM). The results indicate that satisfaction, perceived usefulness, perceived task-technology fit, and perceived risk are the main predictors of continuance intention, satisfaction, in turn, is determined by confirmation, perceived usefulness, and perceived risk. Perceived usefulness is affected by confirmation, perceived ease of use, and perceived task-technology fit. However, the direct effect of perceived ease of use to continuance intention is not significant. The results also show that gender significantly moderates the effect of perceived risk to continuance intention. Implications of the findings and future research directions are discussed.

Understanding business intelligence system continuance intention

“…Several studies have attempted to develop and empirically test models of continued IT usage behavior (Bhattacherjee and Premkumar, 2004;Hsu et al, 2004;Hong et al, 2006;Lee, 2010;Al-Debei et al, 2013;Yuan et al, 2014;Sun and Mouakket, 2015). Our study builds on these efforts to increase the understanding of continued BI systems usage behavior.…”

An Empirical Analysis of Consumers’ Continuance Intention Towards Online Shopping

“…The user's satisfaction and user's perceived usefulness lead the user to make an intention to continue the system (Bhattacherjee, 2001). ECM can help in understanding users' behaviours which is difficult to understand by initial adoption theories (Yuan, Liu, Yao, & Liu, 2014).…”

“…TTF has been used in several studies to understand the users' behaviours about technology acceptance, pre-adoption and post adoption continuation (Afshan & Sharif, 2016b;Oliveira, Faria, Thomas, & Popovi? ?, 2014;Wen et al, 2011;Yuan et al, 2014;Zhou, Lu, & Wang, 2010). According to the previous studies, TTF shows good combination with TAM and ECM in understanding continuation intention to shop online.…”

Development of research continuous usage intention of e-commerce. A systematic review of literature from 2009 to 2015

“…(5)(6)(7)(8)(9)(10)(11). On top of that, there is still a necessity to present a more comprehensive and integrative model for the continuance usage intention of e-commerce users than the models in existence at the moment (4,(12)(13)(14)(15). In this regard, Bhattacherjee and Barfar (16) illustrated that among the models and theories which examined the continuance usage intention of IT, the Expectation Confirmation Model (ECM) has been widely accepted in general.…”