用户接受度分析使用UTAUT 2和UX TAM的Dana应用电子钱包

Putri Meliana, Nurul Mutiah, Syahru Rahmayuda
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引用次数: 0

摘要

DANA是一个数字钱包应用程序,具有开放平台的概念,这意味着它可以在不同的平台上使用,但可以相互集成。然而,在Google Playstore的评论中,DANA应用用户也表达了他们的不满,即交易过程中频繁出现错误和延迟。这是基于用户体验来衡量DANA应用程序用户接受程度的基础。该研究模型是技术接受与使用统一理论2 (UTAUT 2)模型和用户体验技术接受模型(UX TAM)的集成。数据分析技术采用偏最小二乘结构方程模型(PLS-SEM)和SmartPLS 3工具,通过随机向100名受访者(即15-40岁的Pontianak社区)发放问卷进行数据收集。收集数据的方式是向100名回答者分发调查表,即Pontianak社区。在提出的21个假设中,10个假设认为这两个变量之间存在关系,其他11个假设没有关系。产生影响的假设有:努力期望对行为意图的影响、习惯对行为意图的影响、效率对努力期望的影响、效率对绩效期望的影响、输出质量对绩效期望的影响、习惯的影响、刺激对享乐动机的影响、输出质量对感知有用性的影响、感知易用性的影响、使用行为的行为意图。研究结果以建议的形式出现,有望改善DANA应用程序的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User Acceptance Analysis Dana Application E-Wallet Using UTAUT 2 and UX TAM
DANA is a digital wallet application that has an open platform concept, meaning it can be used on different platforms but is integrated with one another. However, there were complaints that were felt by DANA application users which were conveyed in Google Playstore reviews, namely frequent errors and delays in the transaction process. This is the basis for measuring the level of acceptance of DANA application users based on the user's experience. This research model is an integration of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) model and the User Experience technology Acceptance Model (UX TAM). The data analysis technique used Partial Least Square-Structural Equation Modeling (PLS-SEM) and used SmartPLS 3 tools Data collection was carried out by randomly distributing questionnaires to 100 respondents, namely the Pontianak community with an age range of 15-40 years. Data collection was carried out by distributing questionnaires to 100 respondents, namely the Pontianak community. Of the 21 hypotheses proposed, 10 hypotheses stated there was a relationship between the two variables and the other 11 hypotheses had no relationship. The hypotheses that have an influence are Effort Expectancy on Behavior Intention, Habit on Behavior Intention, Efficiency on Effort Expectancy, Efficiency on Performance Expectancy, Output Quality on Performance Expectancy, Dependability on Habit, Stimulation on Hedonic Motivation, Output Quality on Perceived Usefulness, Dependability on Perceived Ease Of Use, and Behavioral Intention to Use Behavior. The results of the research are in the form of recommendations that are expected to improve the performance of the DANA application.
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