基于激励机制的移动健身应用程序对用户持续意向的影响与性别调节效应:定量与定性研究

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES JMIR Human Factors Pub Date : 2024-06-05 DOI:10.2196/50957
Aaya Faizah, Alifah Fatimah Azzahra Hardian, Rania Devina Nandini, Putu Wuri Handayani, Nabila Cyldea Harahap
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引用次数: 0

摘要

背景:麦肯锡公司的一项调查报告显示,截至 2022 年 5 月,多达 26% 的印度尼西亚人最近才开始积极参加体育锻炼,32% 的人经常参加体育锻炼,9% 的人进行高强度锻炼。第四次工业革命推动了用于跟踪人们体育活动的移动健身应用程序(MFA)的快速发展。然而,公众对长期使用这些应用程序的兴趣仍然相对较低:本研究旨在确定激励因素(如自我监控、社会支持、平台奖励和外部影响)对使用移动健身应用程序的影响,以及性别对用户持续使用意向的调节作用:研究采用混合方法。定量数据通过网络问卷收集,定性数据通过对 30 名受访者的访谈收集。从 379 份有效答复中收集的定量数据采用基于协方差的结构方程模型进行处理。定性数据采用主题分析法进行处理。本研究中的多功能运动追踪器是那些用作运动或身体活动追踪器的产品,如 Apple Fitness、Strava、Nike Run Club 和 Fita:数据分析结果表明,3 组激励因素,即自我监测、平台奖励和外部影响(社会支持除外),会影响这些应用程序的感知有用性。研究还显示,性别对用户的体育锻炼行为有调节作用。研究表明,女性更有可能受到社交和外部因素的激励而进行锻炼,而男性则更关注应用程序的跟踪功能以及挑战和奖励:这项研究为多功能手机应用软件开发人员提供了指导,从而为健康促进领域做出了贡献。
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The Influence of Incentive-Based Mobile Fitness Apps on Users' Continuance Intention With Gender Moderation Effects: Quantitative and Qualitative Study.

Background: A survey conducted by McKinsey & Company reported that, as of May 2022, as many as 26% of Indonesians had recently started to engage actively in physical activity, 32% undertook regular physical activity, and 9% exercised intensely. The Fourth Industrial Revolution has spurred the rapid development of mobile fitness apps (MFAs) used to track people's sports activities. However, public interest in using these apps for any length of time is still relatively low.

Objective: In this study, we aimed to determine the effect of incentives (eg, self-monitoring, social support, platform rewards, and external influence) on the use of MFAs and the moderating effect of gender on users' continuance usage intention.

Methods: The study used a mixed methods approach. Quantitative data were collected through a web-based questionnaire and qualitative data from interviews with 30 respondents. The quantitative data, collected from 379 valid responses, were processed using covariance-based structural equation modeling. The qualitative data were processed using thematic analysis. The MFAs included in this research were those used as sports or physical activity trackers, such as Apple Fitness, Strava, Nike Run Club, and Fita.

Results: The results of the data analysis show that 3 groups of incentives, namely, self-monitoring, platform rewards, and external influence (with the exception of social support), affect the perceived usefulness of these apps. Gender was also shown to moderate user behavior in relation to physical activity. The study showed that women were more likely to be motivated to exercise by social and external factors, while men paid greater attention to the tracking features of the app and to challenges and rewards.

Conclusions: This research contributes to the field of health promotion by providing guidance for MFA developers.

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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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