WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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Article Citation - WoS: 52Citation - Scopus: 61Factors Influencing Student Information Technology Adoption(Institute of Electrical and Electronics Engineers, 2023) VanDerSchaaf, Hans P.; Daim, Tuğrul U.; Başoğlu, Ahmet NuriInnovating service delivery in higher education by leveraging technology is central to supporting goals of transforming higher education to center on the needs of today's students. Aligned with these goals, this article identifies key determinants of student information technology adoption. Using a mixed-methods and empirical approach based on the Unified Theory of Acceptance and Use of Technology (UTAUT), a web-based survey was administered to undergraduate students at a public university in the Western United States to learn about their experiences with a web-based digital services platform (native mobile app and website), that aids students in accessing services and resources critical to maintaining their enrollment. Structural Equation Modeling, including Principal Components Analysis, was used to analyze 1841 valid survey responses and derive statistical results. The findings suggest that effort expectancy and social influence stand out as critical influences on behavioral intention to adopt the software for accessing university services, and new to UTAUT, that social influence and a students’ basic technology skills are significant determinants of effort expectancy. This article makes unique contributions to the research literature. It applies UTAUT to a higher education context to help explain the critical determinants of the adoption of software for accessing university services. It also provides insights for how UTAUT can be applied in the university setting and offers suggestions for enhancing UTAUT. IEEELetter Rebuttal: Response To Regarding Letter To Editor "on the Modeling of Inactivation Kinetics by Uv Irradiation"(Elsevier Ltd., 2010) Ünlütürk, SevcanDr. Buzrul has commented on the mathematical modeling part of the article of Unluturk et al. (2010) which has recently been published online in the International Journal of Food Microbiology. He criticised the parameters k, β and h obtained from Log linear model, Weibull and Hom models, respectively.Article Citation - WoS: 9Citation - Scopus: 11Modeling of Hemodialysis Operation(Springer Verlag, 2010) Abacı, Hasan Erbil; Alsoy Altınkaya, SacideIn this study, a theoretical model was developed to predict the solute concentrations in patients' blood and optimize the efficiency of the hemodialysis operation. The model takes into account simultaneous mass and momentum transfer on the blood side both in radial and axial directions. A key component of the model is the incorporation of the protein adsorption on the inner surface of the membrane. The validity of the model was confirmed with the experimental data available in the literature for two different types of hemodiafilter. To illustrate the importance of including the radial concentration gradients and protein adsorption kinetics in the model, the experimental data were predicted with and without consideration of these effects. The results have shown that assuming uniform concentration in the radial direction or neglecting protein adsorption on the inner surface of the membrane leads to higher error in predicting the experimental data. In addition, significant error can be introduced in the calculation of the dialysis time if protein adsorption is not considered. © 2010 Biomedical Engineering Society.Article Citation - WoS: 18Citation - Scopus: 21Predicting Emission Characteristics of Volatile Organic Compounds From Wet Surface Coatings(Elsevier Ltd., 2009) Alsoy Altınkaya, SacideA mathematical model is developed to describe the emission characteristics of VOCs from homogeneous wet coating materials deposited on impermeable substrates. The model considers mass transfer in the material and in air, boundary layer resistance and the change in the coating thickness with time due to emission of VOC. Key features of the model are incorporation of concentration dependent VOC diffusion coefficients predicted from a physical model and nonlinear equilibrium isotherm at the coating/air interface. The model is applied to predict emission characteristics of MMA from acrylic based surface coatings. In an attempt to investigate the influences of equilibrium isotherm type and diffusion formalism on the predictions, simulations are performed with either constant or concentration dependent diffusivities and linear or nonlinear equilibrium isotherms. The lowest MMA concentration in air is predicted by incorporating the concentration dependent diffusivity and nonlinear equilibrium isotherm. The results suggest that assuming the diffusivity of MMA constant or equilibrium isotherm linear may lead to wrong conclusions about the emission rates from wet coatings. The model is general, fully predictive and can be used to predict emission rates of different VOCs from different coating materials if diffusion and thermodynamic parameters are available.
