Smart Mobile Learning Success Model for Higher Educational Institutions in the Context of the COVID-19 Pandemic

Almaiah, Mohammed Amin; Ayouni, Sarra; Hajjej, Fahima; Lutfi, Abdalwali; Almomani, Omar; Awad, Ali Bani

doi:10.3390/electronics11081278

Cited by 70 publications

(62 citation statements)

References 72 publications

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“…IQ refers to the system's ability to furnish information that is accurate, timely, complete and relevant to the users to reach informed decisions. It is an essential measurement of the quality of output that IT generates [31,32,37,38]. In relation to this, quality information minimizes the errors that are made during the process of transaction, enabling the production of accurate and valuable information for decision making processes.…”

Section: Information Qualitymentioning

confidence: 99%

Evaluating the D&M IS Success Model in the Context of Accounting Information System and Sustainable Decision Making

et al. 2022

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The Accounting Information System (AIS) is generally employed for the automation of operational processes and the enhancement of company efficiencies, but more recently, AIS developments have had a great effect on the process of sustainable decision-making among organizations. However, previous research on the AIS and its capabilities attributed its success to critical success factors. Therefore, in the current work, De Lone and Mc Lean’s Information System (D&M IS) Success Model is evaluated in terms of AIS in Jordanian organizations. The current study primarily aimed to determine the influence of system quality, service quality, information quality, system use and user satisfaction on AIS use, which is argued to eventually enhance the quality and sustainability of decision-making. The study employed a quantitative approach using a self-administered questionnaire for data collection involving 101 decision-makers who are familiar with AIS usage. Following the collection of data, it was validated using Structural Equation Modeling (SEM)—PLS. Based on the obtained results, system quality and information quality significant affected system use, but service quality did not. In turn, AIS was found to have a significant effect on user satisfaction. Furthermore, system use and user satisfaction had positive effects on AIS, which eventually affected the sustainability of decision-making, representing the net AIS benefits. The study contributes to existing IS literature, particularly in the field of determining the factors that influence the AIS net benefits, with the proposed model validated in Jordanian organizations using AIS. The study can be used as a guide to shed light on the importance of AIS and it also provides implications, limitations and opportunities for future studies.

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Section: Information Qualitymentioning

confidence: 99%

Evaluating the D&M IS Success Model in the Context of Accounting Information System and Sustainable Decision Making

et al. 2022

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“…The model posits that end-user attitudes function as a determinant of their behavioral intention to use and final actual use, depending on the perceived utility (PU) and perceived ease of use (PEOU) of the IT system. The initial TAM model has been extended many times (e.g., [ 18 , 20 , 36 , 37 , 38 , 39 , 40 ]). For instance, TAM2, an extended TAM model, was tested in a longitudinal study testing four systems and examining two of each voluntary use and mandatory use.…”

Section: Literature Reviewmentioning

confidence: 99%

The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses

Alsyouf

Ishak

Lutfi

et al. 2022

IJERPH

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This study examines nurses’ Continuance Intention (CI) to use electronic health records (EHRs) through a combination of three conceptual frameworks: the Unified Theory of Acceptance and Use of Technology (UTAUT), the theory of expectation-confirmation (ECT), and the Five-Factor Model (FFM). A model is developed to examine and predict the determinants of nurses’ CI to use EHRs, including top management support (TMS) and the FFM’s five personality domains. Data were collected from a survey of 497 nurses, which were analyzed using partial least squares. No significant relationship was found between TMS and CI. The study revealed that performance expectancy significantly mediated the influences of two different hypotheses of two predictors: agreeableness and openness to testing CI. A significant moderating impact of conscientiousness was found on the relationship between performance expectancy and CI and the relationship between social influence and CI. The findings of this study indicated that rigorous attention to the personality of individual nurses and substantial TMS could improve nurses’ CI to use EHRs. A literature gap was filled concerning the mediating effects of performance expectancy on the FFM-CI relationship, and the moderation effects of Conscientiousness on UTAUT constructs and CI are another addition to the literature. The results are expected to assist government agencies, health policymakers, and health institutions all over the globe in their attempts to understand the post-adoption use of EHRs.

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“…Adaptive behaviour calls for novel coping methods and technologies. Other contributors have relied on the well-known technology acceptance theories, including TAM and UTAUT, to explain the acceptance and use of technologies among individuals [ 4 , 52 , 53 , 54 , 55 , 56 , 57 ]. Notwithstanding the various terms used to describe drivers of new technology acceptance, the theories have been used to predict new technology adoption.…”

Section: Introductionmentioning

confidence: 99%

Exposure Detection Applications Acceptance: The Case of COVID-19

Alsyouf

Lutfi

Al‐Bsheish³

et al. 2022

IJERPH

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The pandemic’s context is rife with numerous dangerous threats and high fear levels, influencing human decision-making. Such characteristics are identified by investigating the acceptance of exposure detection apps from the technology acceptance model (TAM) perspective. This study purposed a model to investigate protection technology acceptance, specifically exposure detection apps in the context of COVID-19. Quantitative study approach and a cross-section design targeted 586 participants from Saudi Arabia. As the study model is complex, the study hypotheses were analysed using the structural equation modelling–partial least squares (SEM-PLS3) approach. The findings support the entire model hypothesis except the link between social media awareness and exposure detection apps’ intention. Mediation of COVID-19 anxiety and influence was confirmed as well. The current paper contributes to the technologies acceptance domain by developing a context-driven model comprising the major pandemic characteristics that lead to various patterns of technology acceptance. This study also fills the literature gap regarding mediating effects of social influence and COVID-19 anxiety in the relationship between trust in government and exposure detection apps implementation, and between COVID-19 anxiety and exposure detection apps implementation, respectively. The results may assist government agencies, health policymakers, and health organisations in the wide world and specifically Saudi Arabia, in their attempts to contain the COVID-19 pandemic spread.

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Smart Mobile Learning Success Model for Higher Educational Institutions in the Context of the COVID-19 Pandemic

Cited by 70 publications

References 72 publications

Evaluating the D&M IS Success Model in the Context of Accounting Information System and Sustainable Decision Making

Evaluating the D&M IS Success Model in the Context of Accounting Information System and Sustainable Decision Making

The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses

Exposure Detection Applications Acceptance: The Case of COVID-19

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