Technology Acceptance Model: History, Theory, and Application

Ursavaş, Ömer Faruk

doi:10.1007/978-3-031-10846-4_4

Cited by 5 publications

(4 citation statements)

References 49 publications

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“…Aktürk and Delen (2020) found in their study that primary and secondary school teachers' technology acceptance levels are higher than those of high school teachers. Ursavaş (2014) stated that primary school teachers' information technology usage skills differ compared with secondary and high school teachers.…”

Section: Discussionmentioning

confidence: 99%

Understanding Teachers’ Classroom Management Anxiety: The Role of Educational Technology Usage in Classrooms

KAYHAN>

2022

Journal of Teacher Education and Lifelong Learning

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The current study reveals whether there is a significant relationship between the level of teachers' use of educational technologies and classroom management anxiety. In the study, Levels of Educational Technology Usage scale and Classroom Management Anxiety scale were used as data collection tools. In the results of the research, it was determined that there was a significantly weak and negative relationship between the level of teachers' use of educational technologies and their classroom management concerns. It was also inferred that the use of educational technologies explained approximately 11% of the total variance of classroom management anxiety. When the levels of teachers' use of educational technologies were examined according to the variables of gender, age, and educational status, it was determined that there was a significant difference, but no significant difference was found according to the school type variable. Additionally, when the classroom management anxiety of the teachers was examined, it was seen that there was a significant difference as per the gender variable, while there was no significant difference as per the educational status, school type and age variables.

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Section: Discussionmentioning

confidence: 99%

Understanding Teachers’ Classroom Management Anxiety: The Role of Educational Technology Usage in Classrooms

KAYHAN>

2022

Journal of Teacher Education and Lifelong Learning

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“…Technological self-efficacy was measured using 3 items adapted from Ursavaş, Şahin, and McILroy (2014). All the items were rated using a 5-point Likert scale (1 -strongly disagree to 5 -strongly agree).…”

Section: Methodsmentioning

confidence: 99%

“…According to the theory, perceived advantages (convenience, time-saving and financial advantage) are one of the most important factors affecting the use of technology-based products in service industries (Mohamad, Radzi, & Hanafiah, 2021). Therewithal, when the literature on the mobile application context is examined, it has been determined that technological self-efficacy (Ursavaş, Şahin, & McILroy, 2014) also comes to the fore (Kibe, Ogutu, & Ojwach, 2019). These variables, which are included in the proposed model of the study, which was created based on the existing literature, constitute the theoretical framework of this research.…”

Section: Theoretical Framework and Hypotheses Developmentmentioning

confidence: 99%

The factors affecting tourism mobile apps usage

Şeker¹,

Kadirhan²,

Erdem³

2023

TMS

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The purpose of this study is to determine the key factors affecting the behaviour of using tourism mobile apps. Contrary to previous studies, the present paper highlights the key factors by evaluating the perceived advantages and technological self-efficacy together. So as to evaluate overall measurement quality and test the hypothesised relationships, a two-step approach was applied. In the first step, confirmatory factor analysis (CFA) was employed to test the validity of the measurement scales. Then, the dataset was analysed using the PLS-SEM method to test the proposed hypotheses. Data were collected from 213 adult participants through an online survey. The study revealed that time-saving is a key determinant of tourism mobile apps usage with the highest beta coefficient (0.335, p<0.01). The effects of convenience (0.293) and technological self-efficacy (0.201) were also significant and positive. However, the perceived financial advantage does not have a significant effect on the behaviour of tourism mobile apps usage. Given the growing value and market potential of mobile applications, this research provides crucial empirical evidence for application developers and tourism researchers about the use of mobile applications for the tourism industry.

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“…In addition, predicting the acceptance, including application, challenges it faces and use of technology by individuals can be attributed to the Technology Acceptance Model (TAM) [99]. Although TAM is traditionally applied to understand the adoption of information technology, its principles can be extended to a wide range of innovations, including the conversion of industrial waste into advanced materials.…”

Section: Sludgementioning

confidence: 99%

Uncovering the potential of industrial waste: turning discarded resources into sustainable advanced materials

Rauf,

Heryanto,

Tahir

et al. 2024

Phys. Scr.

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To identify solutions for utilizing industrial wastes (slag, sludge, fly ash, and bottom ash) in the development of pro-environmental systems, this paper reviews existing literature and explores material characterization methods. A review analysis was conducted to uncover their potential, and it was found that many utilizations can be made to recycle them into sustainable materials. Structure characterization, optical-dielectric function, and morphology analysis were analyzed to confirm the recent review. Structural properties are represented by crystallite size and crystallinity, where nickel slag shows the smallest distribution (55±10) nm with the highest crystallinity (25.42%), indicating its association with uniformity of response to external disturbances and micro-structural stability. From the analysis of optical and dielectric functions via Kramers Kronig relation, the widening of ∆(LO-TO) was shown by fly ash and slag indicating stable bonding suitable as x-ray shielding and sensor, while high electron loss functions were shown by sludge and bottom ash indicating high potential electronic transition performance. Based on their chemical and physical properties, these industrial wastes are not limited as construction materials and can even be upgraded to more advanced development materials.

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Technology Acceptance Model: History, Theory, and Application

Cited by 5 publications

References 49 publications

Understanding Teachers’ Classroom Management Anxiety: The Role of Educational Technology Usage in Classrooms

Understanding Teachers’ Classroom Management Anxiety: The Role of Educational Technology Usage in Classrooms

The factors affecting tourism mobile apps usage

Uncovering the potential of industrial waste: turning discarded resources into sustainable advanced materials

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