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首页> 外文期刊>Journal of Enterprise Information Management >A(n) (a)symmetric perspective towards task-technology-performance fit in mobile app industry
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A(n) (a)symmetric perspective towards task-technology-performance fit in mobile app industry

机译:A(n)(a)对称的对称性观点,用于移动应用程序行业中的任务技术性能

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摘要

Purpose 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. Design/methodology/approach 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. Findings 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. Practical implications - 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. Originality/value 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.
机译:目的本文的目的是检查(a)任务技术 - 性能特征的对称特征,这些特征与在移动银行交易中使用应用程序的适应性,满意度和持续意图最相关的特征。设计/方法/方法探索性因子分析在主数据收集之前的183个移动银行应用程序用户的单独样本中使用了最大似然提取和VARIMAX旋转。测试了理论模型,将基于因子的结构方程建模方法应用于250个经验丰富的移动银行应用程序用户的样本。调查结果本研究揭开了与技术特征相比,通过应用程序进行交易时,任务和性能特征更相关。此外,调查结果未发现,用户满意度和持续的用途,使用应用程序源于在线交易中的拟合程度。促进分析的结果强调,较低收入组中的用户更关注银行应用的绩效特征,年龄和性别群体没有差异。令人惊讶的是,技术特点具有非线性性质,本研究显示了拟合程度,用户满意度和使用应用程序的潜在技术特征的潜在边界条件。实际意义 - 有条件概率查询的结果显示,随着83.3%的概率,用户满意度很高,当使用银行交易的应用程序,如果适合,任务,性能和技术特征高。此外,如果性能和任务特征的水平高,则概率的概率概率高,使用应用程序很高。本研究表明,促成任务技术适合理论的原创性/价值表明,性能特征需要与任务和技术特征对齐,以便在使用在线银行交易的应用程序时更好地适合。

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