Technology Acceptance Model 3 in Understanding Employee’s Cloud Computing Technology

Cengiz, Esra; Bakırtaş, Hülya

doi:10.1177/0972150920957173

Cited by 14 publications

(18 citation statements)

References 46 publications

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“…Complexity is the perceived difficulty of using innovative technology such as cloud computing. Cengiz and Bakırtas (2020) suggest that people do not adopt an innovation that is more complex to understand and challenging to use. Teo et al (2019) stated that complexity has an adverse effect on students' perception regarding ease of use and usefulness.…”

Section: Complexitymentioning

confidence: 99%

“…In education, knowledge storage is the crucial factor as it allows everyone to store unlimited data on the cloud. Hence, when students get to know various technology benefits, it boosts their perception regarding usefulness and accessibility (Cengiz and Bakırtas , 2020;Arpaci, 2017). The students' expectations for knowledge storage may impact the perceived usefulness and perceived ease of use of cloud computing technology.…”

Section: Compatibilitymentioning

confidence: 99%

“…Learnability is one of the most critical factors in technology (Cengiz and Bakırtas , 2020). Sharma et al (2020) defined learnability as the level of difficulty encountered by individuals finding knowledge and know-how relevant to work.…”

Section: Learnabilitymentioning

confidence: 99%

“…According to Shahzad et al (2020), cloud computing involves storing and processing large amounts of data on the internet, where users do not know their saved data's exact location. Data security and privacy concerns hold people back from transforming their processes and integrating them with cloud computing technology (Cengiz and Bakırtas , 2020). When users find that their data is secure in the cloud and can access without any hurdle, they perceive that cloud computing is useful and suitable (Arpaci, 2017).…”

Section: Costmentioning

confidence: 99%

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Knowledge and innovative factors: how cloud computing improves students’ academic performance

Raza

Khan

2021

ITSE

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Purpose Collaboration, communication, critical thinking and creativity are the most essential Cs of education. However, at present, these Cs are interlinked with technology to make it more effective and reliable. Educational technology infuses higher education, many people use it on a daily basis. Students are eager to adopt such technologies that help them in academia. Hence, this study aims to investigate how cloud computing adoption influences the academic performance of students by incorporating innovative, knowledge, economic and technological factors in the model. Design/methodology/approach The data are collected by using the survey method and the five-point Likert scale is used for this purpose. The statistical techniques applied to the data set were confirmatory factor analysis and partial least square structural equation modeling. Findings All dimensions have been observed to have a positive association with perceived ease of use and perceived usefulness. On the other hand, the innovative factors which include relative advantage and complexity have a negative impact on perceived ease of use and perceived usefulness except for compatibility. Moreover, economic factors, all have a negative relationship. Finally, research shows that perceived ease of use and perceived usefulness have a direct and significant relationship with cloud computing adoption among students, which ultimately predicts their academic performance. Originality/value Present research makes the following vital contributions; first, focus on the role of innovative factors, economical, technological and knowledge factors together that were previously largely ignored. Second, it extends the model of technology acceptance model for analyzing the cloud computing adoption pattern among university students. Finally, this study uses PLS-SEM for analyzing the relationship.

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Section: Complexitymentioning

confidence: 99%

Section: Compatibilitymentioning

confidence: 99%

Section: Learnabilitymentioning

confidence: 99%

Section: Costmentioning

confidence: 99%

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Knowledge and innovative factors: how cloud computing improves students’ academic performance

Raza

Khan

2021

ITSE

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“…CC types are not really technologies but service models [38]. CC types can be interpreted in terms of 'who uses them' and 'why they use them'.…”

Section: Cloud Computingmentioning

confidence: 99%

The influence of dependability in cloud computing adoption

song

Young-Woo

2022

J Supercomput

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Cloud computing (CC) has many benefits, so its use has spread rapidly, particularly in the business sector. An important consideration in the acceptance of CC is whether the CC system is dependable, and it can differ among industry and service type. However, little research has considered the effect of dependability (composed of availability, reliability, security, maintainability) on CC acceptance. Especially, group comparisons between high IT-intensive (Hi-ITi) and low IT-intensive (Lo-ITi) industries have not been reported, nor have comparisons between software-as-a-service (SaaS) and platform-as-a-service (PaaS)/infrastructure-as-a-service (IaaS). This study aims to explore how the dependability of CC affects users’ intent to accept it, with focus on how this intent is affected by intensity of IT use (by industry) and by the type of CC service used. To validate the proposed model, this study applied structural equation modeling and conducted multi-group analysis. A total of 230 business managers in South Korea represent the sample for our study. For the full dataset, the three dependability attributes (availability, reliability, security) do not affect the usefulness of CC, but do affect the ease of use of CC. The usefulness of CC is a determinant for positive intention to accept CC, whereas the ease of use of CC is not. Maintainability is the strongest determinant of CC adoption for the full dataset, and for all individual groups, except those that use SaaS. For Hi-ITi and Lo-ITi industries, results show that managers show no differences in their perceptions of the effect of dependability attributes (availability, reliability, security) on the usefulness and the ease of CC. The absence of such a difference in managers’ perception also applies to the relationship between two core variables of TAM (i.e., perceived usefulness, perceived ease of use) and behavioral intention to accept CC. For SaaS and PaaS/IaaS, managers have different perceptions of security on the usefulness of CC, and the effect of the usefulness of CC on the intention to accept CC. The findings can provide academic researchers and industry practitioners with a differentiated and in-depth perspective on the understanding and the spread of CC.

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An examination of the effect of technology-based STEM education training in the framework of technology acceptance model

Gül

Ateş

2022

Educ Inf Technol

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Technology Acceptance Model 3 in Understanding Employee’s Cloud Computing Technology

Cited by 14 publications

References 46 publications

Knowledge and innovative factors: how cloud computing improves students’ academic performance

Knowledge and innovative factors: how cloud computing improves students’ academic performance

The influence of dependability in cloud computing adoption

An examination of the effect of technology-based STEM education training in the framework of technology acceptance model

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