Department of Management Information Systems, Kadir Has University, Istanbul, Turkey.
Centre for Research in Public Health and Community Care, University of Hertfordshire, Hatfield, United Kingdom.
JMIR Mhealth Uhealth. 2020 Oct 2;8(10):e16911. doi: 10.2196/16911.
Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical consultations to online apps. These apps usually offer basic features at no cost and charge a premium for advanced features. Although diet apps are now more common and have a larger user base, in general, there is a gap in literature addressing why users intend to use diet apps. We used Diyetkolik, Turkey's most widely used online dietetics platform for 7 years, as a case study to understand the behavioral intentions of users.
The aim of this study was to investigate the factors that influence the behavioral intentions of users to adopt and use mobile health apps. We used the Technology Acceptance Model and extended it by exploring other factors such as price-value, perceived risk, and trust factors in order to assess the technology acceptance of users.
We conducted quantitative research on the Diyetkolik app users by using random sampling. Valid data samples gathered from 658 app users were analyzed statistically by applying structural equation modeling.
Statistical findings suggested that perceived usefulness (P<.001), perceived ease of use (P<.001), trust (P<.001), and price-value (P<.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (P=.99). Additionally, there was no statistical significance for age (P=.09), gender (P=.98), or previous app use experience (P=.14) on the intention to use the app.
This research is an invaluable addition to Technology Acceptance Model literature. The results indicated that 2 external factors (trust and price-value) in addition to Technology Acceptance Model factors showed statistical relevance with behavioral intention to use and improved our understanding of user acceptance of a mobile health app. The third external factor (perceived risk) did not show any statistical relevance regarding behavioral intention to use. Most users of the Diyetkolik dietetics app were hesitant in purchasing dietitian services online. Users should be frequently reassured about the security of the platform and the authenticity of the platform's dietitians to ensure that users' interactions with the dietitians are based on trust for the platform and the brand.
饮食移动健康应用程序提供随需随到的生活方式跟踪和支持。移动健康已成为医疗服务提供者的新趋势,通过这种趋势,他们将服务从临床咨询转移到在线应用程序。这些应用程序通常免费提供基本功能,并对高级功能收取额外费用。尽管饮食应用程序现在更加普遍,拥有更大的用户基础,但总体而言,文献中存在差距,无法说明用户为什么要使用饮食应用程序。我们使用土耳其使用最广泛的在线饮食学平台 Diyetkolik 作为案例研究,以了解用户的行为意图。
本研究旨在调查影响用户采用和使用移动健康应用程序的行为意图的因素。我们使用技术接受模型,并通过探索价格价值、感知风险和信任因素等其他因素来扩展它,以评估用户对技术的接受程度。
我们通过随机抽样对 Diyetkolik 应用程序用户进行了定量研究。从 658 名应用程序用户中收集的有效数据样本通过应用结构方程模型进行了统计分析。
统计结果表明,感知有用性(P<.001)、感知易用性(P<.001)、信任(P<.001)和价格价值(P<.001)与使用行为意图有显著关系。然而,感知风险与行为意图之间没有关系(P=.99)。此外,年龄(P=.09)、性别(P=.98)或之前的应用程序使用经验(P=.14)对使用应用程序的意图没有统计学意义。
这项研究是对技术接受模型文献的宝贵补充。结果表明,除了技术接受模型因素之外,2 个外部因素(信任和价格价值)与使用行为意图具有统计学相关性,并提高了我们对移动健康应用程序用户接受程度的理解。第三个外部因素(感知风险)与使用行为意图没有任何统计学相关性。Diyetkolik 饮食学应用程序的大多数用户对在线购买营养师服务犹豫不决。应经常向用户保证平台的安全性和平台营养师的真实性,以确保用户与营养师的互动基于对平台和品牌的信任。