The purpose of this paper is to examine (a)symmetric features of task-technology-performance characteristics that are most relevant to fit, satisfaction and continuance intention of using apps in mobile banking transactions.,Exploratory factor analysis was used with maximum likelihood extraction and Varimax rotation on a separate sample of 183 mobile banking apps users prior to the main data collection. The theoretical model was tested applying a factor-based structural equation modelling approach to a sample of 250 experienced mobile banking apps users.,The study unveiled that the task and performance characteristics are more relevant compared to technology characteristics when doing transactions via apps. In addition, the findings uncovered that user satisfaction and continuous intention to use apps stem from the degree of fit in online transactions. The findings of moderation analysis highlighted that users in the lower income group are more concerned about the performance characteristics of banking apps, and there are no differences across age and gender groups. Surprisingly, technology characteristic has a nonlinear nature and this study shows potential boundary conditions of technology characteristics in degree of fit, user satisfaction and continuance intention to use apps.,Findings from the conditional probabilistic queries reveal that with 83.3 per cent of probability, user satisfaction is high when using apps for banking transactions, if the levels of fit, task, performance and technology characteristics are high. Furthermore, with 72 per cent of probability, continuance intention to use apps is high, if the levels of performance and task characteristics are high.,Contributing to task-technology fit theory, this study shows that performance characteristics need to be aligned with task and technology characteristics in order to have better fit when using apps for online banking transactions.

中文翻译：

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A（n）（a）对移动应用行业中任务技术性能匹配的对称观点

本文的目的是研究与移动银行交易中使用应用的合适性，满意度和持续性意图最相关的任务技术性能特征的（a）对称特征。探索性因素分析用于最大似然提取和在收集主要数据之前，对183个移动银行应用程序用户的另一个样本进行了Varimax轮换。该理论模型通过基于因子的结构方程建模方法对250个经验丰富的移动银行应用程序用户的样本进行了测试。该研究表明，与通过应用程序进行交易时的技术特征相比，任务和性能特征更为相关。此外，调查结果发现，用户满意度和持续使用应用程序的意图源于在线交易的适合程度。适度分析的结果突出表明，低收入组的用户更加关注银行应用的性能特征，并且年龄和性别组之间没有差异。令人惊讶的是，技术特征具有非线性性质，该研究显示了技术特征在适应程度，用户满意度和使用应用程序的持续意图方面的潜在边界条件。从条件概率查询中发现，用户满意度的概率为83.3％如果适合性，任务，性能和技术特征水平很高，则在使用应用程序进行银行交易时会很高。此外，