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Ibrahim Arpaci

Researcher at Gaziosmanpaşa University

Publications -  65
Citations -  2252

Ibrahim Arpaci is an academic researcher from Gaziosmanpaşa University. The author has contributed to research in topics: Technology acceptance model & Social media. The author has an hindex of 19, co-authored 65 publications receiving 1310 citations. Previous affiliations of Ibrahim Arpaci include Middle East Technical University.

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The development and initial tests for the psychometric properties of the COVID-19 Phobia Scale (C19P-S).

TL;DR: A self-report instrument whose items address the specific phobia diagnosis criteria of the DSM-V and tested its initial psychometric properties show that the scale has initial evidence of construct, convergent, and discriminant validity, and internal consistency reliability.
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Understanding and predicting students' intention to use mobile cloud storage services

TL;DR: Results show that perceived usefulness, subjective norm, and trust have a significantly positive effect on the attitude, which in turn is a significant predictor of behavioral intentions.
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Antecedents and consequences of cloud computing adoption in education to achieve knowledge management

TL;DR: The results indicate that the perceived usefulness is significantly associated with the expectations for knowledge creation and discovery, storage, and sharing, and that educational institutions may promote adoption of cloud computing in education by increasing the awareness of knowledge management practices.
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Effects of security and privacy concerns on educational use of cloud services

TL;DR: A research model posits that student attitudes predicted by security and privacy perceptions and behavioural intentions are predicted by attitudes towards using cloud services, which supports the predictive power of Ajzen's (1991) Theory of Planned Behaviour.
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An Empirical Examination of Continuous Intention to Use M-Learning: An Integrated Model.

TL;DR: An integrated model through the integration of three different theoretical models is developed, namely technology acceptance model (TAM), theory of planned behavior (TPB), and expectation-confirmation model (ECM), indicating that perceived ease of use, attitude, perceived behavioral control, and subjective norms are significant predictors to explain the continued use of m-learning.