The Impact of Perceived Security on Intention to use E-Learning Among Students

Farooq, Ali; Ahmad, Farhan; Khadam, Nyla; Lorenz, Birgy; Isoaho, Jouni

doi:10.1109/icalt49669.2020.00115

Cited by 17 publications

(22 citation statements)

References 23 publications

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“…In addition, we found that ease of use (EU) of e-learning platforms significantly predicts both the satisfaction and learning outcomes of distance learning students. This result reinforces the technology acceptance model (TAM), as confirmed by Al-adwan et al., 2021 , Farooq et al. (2020) , Escobar-Rodriguez and Monge-Lozano (2012) , Islam and Azad (2015) , Alamri (2019) , and Pérez-Pérez et al.…”

Section: Discussionsupporting

confidence: 83%

“…This result could be justified further from the angle of familiarity and ease of use of e-learning systems. In a frontier economy like Ghana, advanced technological systems are less frequent and unconventional so with a sudden introduction of an online system, students may fail to appreciate from the onset and this would most likely result in poor learning outcomes ( Farooq et al., 2020 , 2021 ). Notwithstanding, the role of individual differences in the perception, attitude, and use of e-learning systems cannot go unnoticed when the discourse about e-learning and its acceptance is at play ( Khadam et al., 2018 ).…”

Section: Discussionmentioning

confidence: 99%

“…As a student develops acceptance for a given e-learning technology, security in usage also plays a key role. It is expected that a highly secured system would induce usage ( Farooq et al., 2020 ). Furthermore, a significant effect of satisfaction on performance or learning outcomes was found among distance learning students.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Technology and instructor dimensions, e-learning satisfaction, and academic performance of distance students in Ghana

Bossman

Agyei

2022

Heliyon

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Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 99%

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Technology and instructor dimensions, e-learning satisfaction, and academic performance of distance students in Ghana

Bossman

Agyei

2022

Heliyon

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“…Although behavioral intention and social influence used less than 3 items, partial least squares structural equation modeling (PLS) supports using single-item measures [ 55 ] and earlier research using PLS has used less than 3 items for measuring constructs [ 56 , 57 ].…”

Section: Methodsmentioning

confidence: 99%

Health Care Providers’ Acceptance of a Personal Health Record: Cross-sectional Study

Yousef¹,

Salgado²,

Farooq³

et al. 2021

J Med Internet Res

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Background Personal health records (PHRs) are eHealth tools designed to support patient engagement, patient empowerment, and patient- and person-centered care. Endorsement of a PHR by health care providers (HCPs) facilitates patient acceptance. As health care organizations in the Kingdom of Saudi Arabia begin to adopt PHRs, understanding the perspectives of HCPs is important because it can influence patient adoption. However, no studies evaluated HCPs’ acceptance of PHRs in the Kingdom of Saudi Arabia. Objective The aim of this study was to identify predictors of HCPs’ acceptance of PHRs using behavioral intention to recommend as a proxy for adoption. Methods This cross-sectional study was conducted among HCPs (physicians, pharmacists, nurses, technicians, others) utilizing a survey based on the Unified Theory of Acceptance and Use of Technology. The main theory constructs of performance expectancy, effort expectancy, social influence, facilitating conditions, and positive attitude were considered independent variables. Behavioral intention was the dependent variable. Age, years of experience, and professional role were tested as moderators between the main theory constructs and behavioral intention using partial least squares structural equation modeling. Results Of the 291 participants, 246 were included in the final analysis. Behavioral intention to support PHR use among patients was significantly influenced by performance expectancy (β=.17, P=.03) and attitude (β=.61, P<.01). No moderating effects were present. Conclusions This study identified performance expectancy and attitude as predictors of HCPs’ behavioral intention to recommend PHR to patients. To encourage HCPs to endorse PHRs, health care organizations should involve HCPs in the implementation and provide training on the features available as well as expected benefits. Future studies should be conducted in other contexts and include other potential predictors.

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“…41 67 PLS supports using single-item measures, 68 particularly relevant in this study since the behavioral intention and social influence constructs include less than three items, and earlier research using PLS has used less than three items for measuring constructs. 69 70…”

Section: Methodsmentioning

confidence: 99%

Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature

et al. 2022

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Background Personal health records (PHRs) can facilitate patient-centered communication through the secure messaging feature. As health care organizations in the Kingdom of Saudi Arabia implement PHRs and begin to implement the secure messaging feature, studies are needed to evaluate health care providers' acceptance. Objective The aim of this study was to identify predictors of health care providers' behavioral intention to support the addition of a secure messaging feature in PHRs using an adapted model of the Unified Theory of Acceptance and Use of Technology as the theoretical framework. Methods Using a cross-sectional survey design, data on acceptance of secure messaging features in PHRs were collected from health care providers working at the Ministry of National Guard Health Affairs between April and May 2021. The proposed model was tested using partial least squares structural equation modeling in SmartPLS. Results There were 224 participants: female (66.5%), 40 to 49 years of age (39.9%), nurses (45.1%), and those working more than 10 years in the organization (68.8%). Behavioral intention to support the addition of a secure messaging feature was significantly influenced by performance expectancy (β = 0.21, p = 0.01) and attitude (β = 0.50, p < 0.01), while other predicting factors, such as effort expectancy, social influence, and facilitating condition, did not significantly affect the intention. Furthermore, age, years of experience, and professional role did not moderate the relationships. Conclusion Health care professionals will support introducing a secure messaging feature in the PHRs if they serve the intended purpose. Considering attitude also plays a significant role in acceptance, it is necessary to arrange for training and support, so that caregivers, health care providers, and the patients become familiar with the benefits and expected outcomes of using the feature.

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The Impact of Perceived Security on Intention to use E-Learning Among Students

Cited by 17 publications

References 23 publications

Technology and instructor dimensions, e-learning satisfaction, and academic performance of distance students in Ghana

Technology and instructor dimensions, e-learning satisfaction, and academic performance of distance students in Ghana

Health Care Providers’ Acceptance of a Personal Health Record: Cross-sectional Study

Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature

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