Exploring the factors that influence academic performance in Jordanian higher education institutions

Al-Okaily, Manaf; Magatef, Sima; Al-Okaily, Aws; Shehab Shiyyab, Fadi

doi:10.1016/j.heliyon.2024.e33783

Heliyon

2024

DOI: 10.1016/j.heliyon.2024.e33783

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Exploring the factors that influence academic performance in Jordanian higher education institutions

Manaf Al-Okaily,

Sima Magatef,

Aws Al-Okaily

et al.

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2024

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Cited by 8 publications

References 36 publications

(41 reference statements)

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Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework

Rana,

Siddiqee,

Sakib

et al. 2024

Heliyon

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Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework

Rana,

Siddiqee,

Sakib

et al. 2024

Heliyon

View full text Add to dashboard Cite

Exploring the antecedent factors of continuous intention to use mobile money: insights from emerging markets

Qatawneh,

Al-Okaily,

Al-Okaily

et al. 2024

DPRG

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Purpose The purpose of this study is to examine the factors that may have an influence on the continuous intention to use mobile money as one of the Financial Technology (FinTech) products beyond the COVID-19 pandemic lockdown period. Design/methodology/approach This study has empirically tested the expanded post-acceptance model (Extend-PAM) and the expectation-confirmation model (ECM) to explain the mobile money adoption in Jordan. Data collected were analyzed through partial least squares–structural equation modeling (PLS-SEM). Findings The results mainly showed that the quality of administrative services and trust significantly impact confirmation and perceived usefulness. In addition, perceived security and knowledge of mobile money as one of the FinTech services significantly influence users’ confirmation and perceived usefulness. Also, usefulness and satisfaction influence continuous intention. Significant relationships were noted among confirmation, perceived usefulness, satisfaction and continuous intention to use mobile money. Originality/value This paper integrates two key theories: the expanded post-acceptance model (Extend-PAM) and the expectation-confirmation model (ECM) in the post-adoption behavior of mobile money. Therefore, this study attempts to fill a literature gap by examining the antecedent factors that influence the continuous intention to use mobile money services in the post-consumption stage.

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Factors affecting telemedicine services adoption in the healthcare sector

Al-Ghazo,

Al-Okaily,

Al-Okaily

et al. 2024

GKMC

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Purpose The main purpose of this study is to determine the factors affecting the adoption of telemedicine services as mobile health apps in the Jordanian context by extending the technology acceptance model (TAM). Design/methodology/approach A quantitative research approach with an online survey was used to collect data from 306 Jordanian respondents to achieve the main purpose. The partial least squares structural equation modeling (PLS-SEM) approach was used to analyze collected data. Findings The results mainly confirmed that the intention to use mobile health apps (otherwise known as AMAN apps in Jordan) is significantly influenced by social influence, perceived usefulness and perceived ease of use, trust in government and social media awareness. Next, contrary to what is expected, culture does not moderate the association between perceived ease of use and behavioral intention to use the AMAN app, and hence the related hypothesis was not supported. To conclude, the results show that the actual use of the AMAN app is significantly influenced by behavioral intention, and hence, the final hypothesis was supported. Originality/value The current research contributed to the literature on information technology (IT)/information systems (IS) acceptance and use by switching the investigation efforts from the acceptance of IT/IS to the adoption of protection technology in the crisis era.

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Exploring the factors that influence academic performance in Jordanian higher education institutions

Cited by 8 publications

References 36 publications

Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework

Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework

Exploring the antecedent factors of continuous intention to use mobile money: insights from emerging markets

Factors affecting telemedicine services adoption in the healthcare sector

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