Mobile Membranes

Aman, Bogdan; Ciobanu, Gabriel

doi:10.1109/access.2020.3011803

Cited by 3 publications

(2 citation statements)

References 45 publications

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“…Despite extensive efforts by the MOH to increase its adoption rate, the level remains below expectations. About 12% of the total population downloaded this app until the end of August 2020 (Aman, 2020b). Therefore, this study is designed to investigate factors that can influence Jordanian smartphone users' willingness to accept AMAN.…”

Section: Research Methodology 41 Research Contextmentioning

confidence: 99%

Acceptance of protection technology in a time of fear: the case of Covid-19 exposure detection apps

Alsaad

Al-Okaily

2021

ITP

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PurposeThis 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/approachData were collected from 306 Jordanian participants, and structural equation modelling was used for data analysis.FindingsThe 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/valueThis 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.

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Section: Research Methodology 41 Research Contextmentioning

confidence: 99%

Acceptance of protection technology in a time of fear: the case of Covid-19 exposure detection apps

Alsaad

Al-Okaily

2021

ITP

View full text Add to dashboard Cite

show abstract

“…The second class is the mobile membranes variant, which is inspired by biological events such as cell membrane mobility, Endocytosis, and Exocytosis processes. It has four types: simple, enhanced, mutual mobile membranes and mutual mobile membranes with objects on the surface [18]. We will focus on the third type, mutual mobile membranes.…”

Section: Definitions Of P Systems With Active and Mobile Membranesmentioning

confidence: 99%