影响消费者接受智能手机饮食应用的因素:综合模型

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Abdulalem Mohammed
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引用次数: 0

摘要

移动技术在消费者中的日益普及以及他们对不同生活方式的偏好推动了基于智能手机的饮食应用程序的迅速发展。本研究旨在分析使用这些应用程序的影响因素。概念框架结合了三个模型:技术接受和使用统一理论(UTAUT2)、DeLone 和 McLean 信息系统(IS)(D&M IS)成功模型以及保护动机模型。研究在沙特阿拉伯进行,采用了定量方法,向 572 名客户发放了调查问卷。研究通过偏最小二乘法(PLS)结构方程模型(PLS-SEM)进行验证,确定了智能手机减肥应用程序使用意向的几个重要预测因素。这些因素包括绩效预期(PE)、努力预期(EE)、社会影响(SI)、价格价值(PV)、IS、服务质量(SEQ)以及感知到的脆弱性和感知到的严重性。与预期相反,促进条件(FCs)和享乐动机(HM)等因素并未对行为意向产生显著影响。这项开创性的研究揭示了智能手机饮食应用程序在新兴经济体中的应用情况,为学者、开发人员和卫生专业人员提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Factors Influencing Consumers’ Acceptance of Smartphone Diet Applications: An Integrated Model

Factors Influencing Consumers’ Acceptance of Smartphone Diet Applications: An Integrated Model

The rapid expansion of smartphone-based diet applications has been driven by the growing prevalence of mobile technology among consumers and their diverse lifestyle preferences. This study seeks to analyze the factors influencing the use of these applications. The conceptual framework combines three models: the unified theory of acceptance and use of technology (UTAUT2), the DeLone and McLean information system (IS) (D&M IS) success model, and the protection motivation model. Conducted in Saudi Arabia, the research employed a quantitative methodology with a survey questionnaire administered to 572 customers. The study, validated through partial least squares (PLS) structural equation modeling (PLS-SEM), identified several significant predictors for the intention to use smartphone diet applications. These include performance expectancy (PE), effort expectancy (EE), social influence (SI), price value (PV), IS, and service quality (SEQ), as well as perceived vulnerability and perceived severity. Contrary to expectations, factors like facilitating conditions (FCs) and hedonic motivation (HM) did not significantly impact behavioral intention. This pioneering study sheds light on the adoption of smartphone diet applications in an emerging economy, offering valuable insights for scholars, developers, and health professionals.

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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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