ABSTRACT
The diversity of the spread pattern of the Corona virus is one of the most important reasons for the seriousness of the virus. Therefore, in this paper, we present a fractional mathematical SEIAS model that studies many ways of spreading (asymptomatic and pre-symptoms transmission) with the hypothesis of the spread of the virus in a heterogeneous network of individuals. The system consists of nonlinear equations which formed in fractional order. And it turns out that the system has two equilibrium positions (free and endemic positions). We also calculated the disease prevalence threshold (ℛ" ) within the network. The condition for the existence of the epidemiological situation has been determined. The stability of the free equilibrium position has been studied. The numerical part has been added to explain the proved theorems of the system in addition to clarifying the role of the heterogeneous network on the value of the virus spread threshold within the network. Keywords: Complex Networks, Novel Coronavirus (COVID-19), Asymptomatic and Pre-Symptoms Transmission, Basic. © 2022 NSP Natural Sciences Publishing Cor.
ABSTRACT
The purpose of the study is to identify the effects of behavioral/psychological factors i.e. overconfidence, anchoring bias, loss aversion, herding effect on financial decision making, in both normal situation (NS) and COVID-19 pandemic uncertain situation (CVD-19) separately. This paper used a qualitative method by using semi-structured interview (virtual and physical) and all fifteen interviewers were based in the United Arab Emirates. Whereas, the results of the study show that in NS all the factors have a positive significant relationship with financial decision-making. But on the other hand, in the CVD-19 uncertain situation, majority of the factors has a negative effect on financial decision making, except for overconfidence, which shows positive effect. Though the limitation was a time constraint, limited factors, and CVD-19 itself is a stressful environment and people do not prefer to participate in interviews. Finally, the future research direction is to increase sample size and factors to understand the financial decision impact on performance. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
This study aimed at identifying the main factors influencing the adoption of the electronic payment system (EPS) by Jordanian consumers based on the technology acceptance model (TAM) during the emergence of the pandemic crisis (COVID-19). A quantitative approach and a convenience sample of (567) Jordanian banking customers were employed to collect the required data via an online survey questionnaire. The study revealed that the most important predictors of behavioural intention of e-payment adoption by Jordanian consumers during the pandemic crisis (COVID-19) are: perceived usefulness, trust and ease-of-use Furthermore, education level, age and income as demographic variables have been found to affect the intention of e-payment service adoption significantly, while the effect of gender was found insignificant during this time. Based on these findings, several practical recommendations were suggested to enhance the electronic payment adoption process in Jordan. This study has provided its contribution concerning e-payment adoption, particularly during the breakout of Covid-19 pandemic in the world for the first time. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.