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Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective

机译:消费者采用智能手机健身应用:一个扩展的utaut2视角

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Purpose The purpose of this paper is to examine the determinants of user adoption of smartphone fitness apps in context of an emerging economy. Design/methodology/approach The present study uses the extended unified theory of acceptance and use of technology (UTAUT2) as the base model along with two additional constructs, i.e. self-efficacy and personal innovativeness. The data collection was done through an online survey, wherein a total of 324 valid responses were obtained for the statistical analysis. All the hypothesized relationships were tested through partial least square structural equation modelling (PLS-SEM) using an open source programming language and software environment, i.e. R Software along with plspm-package. Findings Significant predictors of smartphone fitness app adoption intention include effort expectancy, social influence, perceived value, habit and personal innovativeness. Further, this study confirms significant relationship between personal innovativeness and habit, self-efficacy and effort expectancy and effort expectancy and performance expectation. This study reveals that personal innovativeness is the strongest predictor of behavioural intention. Contrary to the expectations, factors like performance expectancy, facilitating conditions and hedonic motivation did not influence behavioural intention. Originality/value This study is one of the few studies to examine the adoption of smartphone fitness apps in an emerging economy context by using extended version of UTAUT2 model. Further, this study shows how new endogenous and exogenous variables (i.e. self-efficacy and personal innovativeness) contribute to better explanatory power of the UTAUT2 framework.
机译:目的本文的目的是检查新兴经济体的背景下用户采用智能手机健身应用的决定因素。设计/方法/方法本研究使用扩展统一的接受和使用技术(UTAUT2)作为基础模型以及另外两个构建体,即自我效能和个人创新。数据收集是通过在线调查完成的,其中总共获得了324个有效响应,以便统计分析。所有假设的关系都是通过使用开源编程语言和软件环境的局部最小二乘结构方程式建模(PLS-SEM)测试所有假设的关系,即PLSPM-Package以及PLSPM-Package。调查结果智能手机健身应用程序采用意图的显着预测因素包括努力期望,社会影响力,感知价值,习惯和个人创新。此外,本研究证实了个人创新与习惯,自我效力和努力期望和努力期望和业绩期望之间的重大关系。本研究表明,个人创新是行为意图的最强预测因素。与期望相反,性能预期等因素,促进条件和诸如诸如革命的动机不影响行为意图。本研究的原创性/值是通过使用utaut2模型的扩展版本来检查新兴经济环境中的智能手机健身应用程序的少数几项研究之一。此外,该研究表明了新的内源性和外源性变量(即自我效力和个人创新)有助于更好地解释utaut2框架的权力。

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