Purpose

This study explores the acceptance of protection technology, namely, exposure detection apps, in the context of the Covid-19 pandemic. Unlike other situations, the context of the pandemic is characterized by large levels of threat and fear which largely affect the human decision-making process. To identify such characteristics, this study investigates the acceptance of exposure detection apps from the perspective of protection motivation theory (PMT). It examines how the perceived risk of Covid-19, perceived fear of Covid-19, self-efficacy, response efficacy and protection motivation interact to predict the acceptance of exposure detection apps.

Design/methodology/approach

Data were collected from 306 Jordanian participants, and structural equation modelling was used for data analysis.

Findings

The results reveal that acceptance of these apps is triggered by the perceived risk of Covid-19, which increases the experienced level of fear. The latter then initiates a compelling desire or motivation to protect oneself by using the recommended adaptive response (exposure detection app). The results show that an increased level of self-efficacy and perceived efficacy of exposure detection apps also contribute to the development of protection motivation and later the intent to use exposure detection apps.

Originality/value

This study contributes to the technology acceptance domain by developing a context-driven model of the key characteristics of pandemics that lead to different patterns of technology acceptance. The key components in designing effective marketing campaigns to prompt the use of exposures detection apps are discussed.

中文翻译：

---

在恐惧时期接受保护技术：以 Covid-19 暴露检测应用程序为例

目的

本研究探讨了在 Covid-19 大流行的背景下对保护技术（即暴露检测应用程序）的接受程度。与其他情况不同，大流行背景的特点是威胁和恐惧程度很高，这在很大程度上影响了人类的决策过程。为了识别这些特征，本研究从保护动机理论 (PMT) 的角度调查了对暴露检测应用程序的接受程度。它研究了 Covid-19 的感知风险、对 Covid-19 的感知恐惧、自我效能、反应效能和保护动机如何相互作用，以预测暴露检测应用程序的接受度。

设计/方法/方法

从 306 名约旦参与者收集数据，并使用结构方程模型进行数据分析。

发现

结果表明，对这些应用程序的接受是由感知到的 Covid-19 风险引发的，这增加了恐惧的体验水平。然后后者通过使用推荐的自适应响应（暴露检测应用程序）来启动保护自己的强烈愿望或动机。结果表明，暴露检测应用程序的自我效能和感知效能水平的提高也有助于保护动机的发展，以及随后使用暴露检测应用程序的意图。

原创性/价值

本研究通过开发导致不同技术接受模式的流行病关键特征的上下文驱动模型，为技术接受领域做出了贡献。讨论了设计有效营销活动以促进使用暴露检测应用程序的关键组成部分。