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1.
International Journal of Organizational Analysis ; 30(5):1041-1044, 2022.
Article in English | ProQuest Central | ID: covidwho-2135961

ABSTRACT

[...]the WHO and government organizations highly recommended working from home by using available ICT collaboration tools to protect people's health, whereas economic, educational and various activities were being carried out normally (WHO, 2020). [...]MC technologies and solutions will help to shorten the time and give more collective power to creating, sharing and exploiting new knowledge for dealing with this situation (Sulaiman, 2020). [...]we are specifically interested in reflections on how world countries, organizations and individuals rebuild their collaboration experiences to create, share and exploit new knowledge, through review the best practices and lessons learned to promote global experiences (Borjigen, 2015;Scuotto, 2017;Zamiri and Camarinha-Matos, 2019). The use of collaborative online technologies in different contexts assists to streamline the services delivery and KM activities at all levels: public/private organizations, businesses and citizens;most recently, it has been considered a life-sustaining tool to manage the crisis (i.e. COVID-19) as it is able to enhance the service delivery, collaborative efforts, communications, information sharing and KM activities (Mensah et al., 2021).

2.
Journal of International Education in Business ; 15(2):250-272, 2022.
Article in English | ProQuest Central | ID: covidwho-2107766

ABSTRACT

Purpose: This paper aims to investigate the factors that affect the acceptance of distance learning systems by university academic staff and students in Jordan. To achieve this objective, it has been proposed to examine the distance learning experience of Jordanian Higher Education Institutions (HEIs) after the universities institution suspended face-to-face (traditional) courses delivery owing to novel Coronavirus' (COVID-19) fears. Design/methodology/approach: This study expands upon unified theory of acceptance and use of technology 2 by incorporating contextual variables such as trust (TR), autonomy (AUT) and compatibility (CMP). Data collection has been carried out through an online survey, which targeted participants at public and private universities during the crisis time of coronavirus. Structural equation modelling has been used to validate the proposed research model. Findings: The outcomes revealed that performance expectancy, facilitating conditions, TR and AUT were the significant predictors of distance learning acceptance in both samples. By identifying the factors affecting the acceptance of distance learning systems, it will be more useful to offer better services of distance learning. This will also help to demonstrate that distance learning will be capable of delivering the educational aims of HEIs to areas where a pandemic outbreak in the Middle East. Originality/value: Distance learning provides university students with quality education, engaging platforms and most significantly a safe teaching environment. The results and implications to both practice and theory are described.

3.
Sustainability ; 14(19):12616, 2022.
Article in English | ProQuest Central | ID: covidwho-2066436

ABSTRACT

Earlier literature has shown that the implementation of FinTech innovations is not only determined by banks, financial institutions, or government support, but also by the perception and experiences of FinTech users. FinTech research has shown encouraging findings from scholars in developed countries. However, little is known about the users’ acceptance and use of FinTech in Jordan. The aim of this study is to investigate the determinants of users’ intentions and e-Loyalty toward FinTech adoption in Jordan post the COVID-19 era. A conceptual framework was developed by integrating the four original constructs of the unified theory of acceptance and use of technology (UTAUT), namely performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitating conditions (FC), with three additional factors: personal innovativeness (PI), financial literacy (FL), and uncertainty avoidance (UA). In addition, the proposed model considered the e-Loyalty of FinTech users as a consequence of having a good FinTech experience. A quantitative approach using a cross-sectional online questionnaire was applied to collect data from 423 FinTech users. Data were analyzed utilizing structural equation modeling (SEM) based on AMOS 26.0 software package. The findings revealed that UA has a moderating effect on the relationship between FC and users’ intentions. Also, PI has a significant impact on PE and EE. While PE, SI, and FC are factors that enhance behavioral intentions. In return, it builds users’ e-Loyalty toward FinTech services and is deemed a new normal behavior. This study may help FinTech service providers and policymakers better understand the, currently relatively low, usage rate of FinTech, and how it contributes to the development of strategies that boost the acceptance and e-Loyalty of FinTech by Jordanian users after the COVID-19 era, where FinTech is still considered an innovation.

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