Factors That Influence An Academic Institution's Intention To Accept CloudIOT: A Proposed Framework

Ireda, Ali Mehimed Ahmed; Ben-Mubarak, Mohommed Awadh; Buhari, Adubhahir

doi:10.2991/icoiese-18.2019.25

Cited by 6 publications

(8 citation statements)

References 11 publications

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“…To obtain the model fit of the conceptual model, AMOS software version 28 is used, and results are generated. [5]- [8], [23]- [27] Table 3.…”

Section: Methodsmentioning

confidence: 99%

“…Also, the researchers [19]- [25] identified that information security influences cloud computing adoption. Behavioural Intention is the strong mediating factor identified by many research [5]- [8], [23]- [27] that mediate the adoption of cloud computing with all independent variables. Table 1 summarises the adoption frameworks or models that relate the significant factors that influence cloud computing adoption with the recent references.…”

Section: Introductionmentioning

confidence: 99%

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Secure cloud adoption model: novel hybrid reference model

Athambawa

Johar

Khatibi

2022

IJEECS

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<p>This article <span>discusses research conducted to conceptualise a secure cloud adoption model. The study surveyed SMEs in the Sri Lankan information technology industry using a questionnaire to determine cloud computing adoption factors. The study used Rogers' diffusion of innovation (DOI), Tornatzky and Fleischer's technology-organization-environment (TOE) framework, Venkatesh and Bala's technology acceptance model 3 (TAM3), and Venkatesh, Thong, and Xu's Unified theory of acceptance and use of technology 2 (UTAUT2) as the theoretical foundation for evaluating the reference model. Two hundred and fifty-six key officials from information technology (IT) organisations in Sri Lanka participated in the survey. The study used quantitative data coding and analysis methods with the SPSS and AMOS softwares. The findings from previous research and existing technology adoption frameworks and models were summarised to support the secure cloud adoption model (SCAM).</span></p>

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“…To obtain the model fit of the conceptual model, AMOS software version 28 is used, and results are generated. [5]- [8], [23]- [27] Table 3.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Secure cloud adoption model: novel hybrid reference model

Athambawa

Johar

Khatibi

2022

IJEECS

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“…Similarly, findings were derived from the study of Karahoca et al (2018) who found that privacy affected the intention to use IoT. Ireda et al (2019) hypothesized that concerns around privacy would have a major impact on the UB of cloud-based IoT. On the other side, Hsu and Lin (2018) discovered that the presence of privacy has a detrimental impact on the value that is perceived.…”

Section: Privacy and Adoption Of Iotmentioning

confidence: 98%

“…Sepasgozar et al (2018) discovered that mobile security has no impact on PEOU. Ireda et al (2019) hypothesized that security would have a beneficial impact on cloud IoT adoption. Al-Hashimy et al ( 2019) discovered that security positively influenced IoT adoption.…”

Section: Security and Adoption Of Iotmentioning

confidence: 99%

Adoption of IoT by telecommunication companies in GCC: The role of blockchain

Alarefi¹

2023

10.5267/j.dsl

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The Internet of Things (IoT) has become essential for business. The adoption rate of IoT has dropped recently and this could be due to security, privacy, and trust issues. Blockchain (BC) has the potential to mitigate the risk of security, privacy, and trust. However, few studies examined the integration between IoT and BC in the context of developing countries. The purpose of this study is to examine the predictors of IoT adoption by telecommunication companies in the Gulf Cooperation Council (GCC). In addition, the study aims to examine the moderating role of BC as well as the effect of using IoT and BC on the competitive advantage of companies. Based on technology acceptance model, social exchange theory, and resource-based view, the study proposed that security, privacy, trust, communication quality, perceived ease of use (PEOU), and perceived usefulness (PU) affect positively the adoption of IoT. BC is proposed as a moderating variable and expected with IoT to affect the competitive advantage of companies. The population includes all the telecommunication companies in GCC. Data was collected using purposive sampling from IT professionals. The results of data analysis using SmartPLS showed that security, privacy, trust, PU, and PEOU positively affected the adoption of IoT. BC and IoT adoption have a positive effect on competitive advantage. Further, BC moderated only the effect of security and privacy on the adoption of IoT. Services providers must enhance the security, privacy, and trust of IoT services by deploying BC technology. Effective integration of IoT and BC will lead to the achievement of competitive advantages.

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“…TOE is different from other theoretical adoption models and frameworks because it includes the variables that are related to technology, organization, and environment [36]. The TOE includes technological related factors that are more related to the characteristics such as the security, trust, and risk of involving in technological transaction [37] [38], [39]. The organizational factors based on TOE includes factors that are related to the characteristic of the organization such as the age and the size.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Hinders of Cloud Computing Usage in Higher Education in Iraq: A Model Development

Hashim

Alasady

Al-Sulam

2022

IJEEI

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Cloud computing (CC) is a trendy technology that is being used in business and daily life. However, limited studies is found on higher education usage. The barriers and obstacles that confront the usage is not clear and in particular in developing countries. The purpose of this study is to examine the barriers and obstacle that confront the usage CC services in Barash University in Iraq. Using the technology organization environment framework and the internal external factor (IE-TOE), the study proposed the conceptual framework. The data was collected from academic, non-academic staff and students using convivence sampling technique. The data was analyzed using Smart PLS. The findings showed that organizational obstacle followed by technological, internal and external factors, and environmental factors are the most severe obstacles that confront the university in using CC services. Decision makers can benefit from the developed model to ease the implementation of CC

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Factors That Influence An Academic Institution's Intention To Accept CloudIOT: A Proposed Framework

Cited by 6 publications

References 11 publications

Secure cloud adoption model: novel hybrid reference model

Secure cloud adoption model: novel hybrid reference model

Adoption of IoT by telecommunication companies in GCC: The role of blockchain

Hinders of Cloud Computing Usage in Higher Education in Iraq: A Model Development

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