人工智能支持的卫生系统在约旦背景下的作用:以数字接触者追踪应用程序为例。
The role of AI-enabled health systems in the Jordanian context: the case of digital contact tracing apps.
作者信息
Al-Okaily Manaf, Shiyyab Fadi Shehab, Salim Nesreen A, Al-Rahayfeh Amer
机构信息
School of Business, Jadara University, Irbid, Jordan.
Department of Accounting, School of Business, The Hashemite University, Zarqa, Jordan.
出版信息
J Health Organ Manag. 2025 Jun 5;39(4):463-483. doi: 10.1108/JHOM-06-2024-0252.
PURPOSE
Digital health or digital healthcare, is a broad, multidisciplinary concept that includes concepts from an intersection between technology and healthcare. Digital health applies digital transformation to the healthcare field, incorporating software, hardware and services. The usefulness of digital health technologies such as digital contact tracing apps (CTAs) depends deeply on the acceptance to use them. Accordingly, the main purpose of this study is to explore the usage of CTAs by integrating the protection motivation theory (PMT) and technology acceptance model (TAM) in the Jordanian context.
DESIGN/METHODOLOGY/APPROACH: Partial least squares structural equation modelling was employed to test empirically the integrated research model against data collected from 420 respondents, leading to the identification of the important determinants for the usage of CTAs.
FINDINGS
The results reveal that perceived severity and perceived vulnerability have a significant positive impact on the perceived need for CTAs, which, in turn, affects the individuals' intention to use CTAs. It also reveals that perceived trust in government, perceived privacy and perceived usefulness have a significant positive impact on individuals' intention to use CTAs, which, in turn, affects the usage of CTAs. In contrast, perceived ease of use did not find any significant relationship, and hence hypothesis H7 was not supported. Lastly, social media awareness has a significant positive impact on perceived usefulness and ease of use.
ORIGINALITY/VALUE: This study is considered among the first studies in the Jordanian context that integrate the PMT and TAM to gain a better understanding of the critical determinants for the acceptance and usage of CTAs in the context of pandemics.
目的
数字健康或数字医疗保健是一个广泛的多学科概念,涵盖了技术与医疗保健交叉领域的相关概念。数字健康将数字转型应用于医疗保健领域,包括软件、硬件和服务。数字接触追踪应用程序(CTA)等数字健康技术的实用性在很大程度上取决于人们对其使用的接受程度。因此,本研究的主要目的是在约旦背景下,通过整合保护动机理论(PMT)和技术接受模型(TAM)来探讨CTA的使用情况。
设计/方法/途径:采用偏最小二乘结构方程模型,根据从420名受访者收集的数据对整合后的研究模型进行实证检验,从而确定CTA使用的重要决定因素。
研究结果
结果显示,感知严重性和感知易损性对CTA的感知需求有显著的正向影响,进而影响个人使用CTA的意愿。研究还表明,对政府的感知信任、感知隐私和感知有用性对个人使用CTA的意愿有显著的正向影响,进而影响CTA的使用情况。相比之下,感知易用性未发现有任何显著关系,因此假设H7未得到支持。最后,社交媒体意识对感知有用性和易用性有显著的正向影响。
原创性/价值:本研究被认为是约旦背景下首批整合PMT和TAM的研究之一,以便更好地理解在疫情背景下CTA接受和使用的关键决定因素。