The Integrated Framework of Cloud Computing Implementation in Higher Education Institution: A Review of Literature

Rahimah, K; Aziati, Nor

doi:10.1166/asl.2017.8370

Cited by 9 publications

(4 citation statements)

References 16 publications

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“…Several studies on CC have been carried out in developed nations. Studies on CC in educational institutions in developing nations are scarce [12], especially in Malaysia [13,14]. The successful adoption of any novel technology such as CC does not depend only on universities and cloud service providers' support but also on users' willingness and intention to adopt and utilize these services [12,15,16].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

et al. 2020

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Cloud computing (CC) delivers services for organizations, particularly for higher education institutions (HEIs) anywhere and anytime, based on scalability and pay-per-use approach. Examining the factors influencing the decision-makers’ intention towards adopting CC plays an essential role in HEIs. Therefore, this study aimed to understand and predict the key determinants that drive managerial decision-makers’ perspectives for adopting this technology. The data were gathered from 134 institutional managers, involved in the decision making of the institutions. This study applied two analytical approaches, namely variance-based structural equation modeling (i.e., PLS-SEM) and artificial neural network (ANN). First, the PLS-SEM approach has been used for analyzing the proposed model and extracting the significant relationships among the identified factors. The obtained result from PLS-SEM analysis revealed that seven factors were identified as significant in influencing decision-makers’ intention towards adopting CC. Second, the normalized importance among those seven significant predictors was ranked utilizing the ANN. The results of the ANN approach showed that technology readiness is the most important predictor for CC adoption, followed by security and competitive pressure. Finally, this study presented a new and innovative approach for comprehending CC adoption, and the results can be used by decision-makers to develop strategies for adopting CC services in their institutions.

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Section: Introductionmentioning

confidence: 99%

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

et al. 2020

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“…The original purpose of developing cloud computing was to minimize hardware usage, while also enabling expert providers to securely access data and manage the computing environment to enhance privacy and security (Rahimah & Aziati, 2017). However, cloud computing continues to grapple with privacy and security challenges, particularly when the provider fails to guarantee comprehensive data protection for users.…”

Section: Exploring Key Factors Influencing the Adoption Of Mobile …mentioning

confidence: 99%

Exploring Key Factors Influencing the Adoption of Mobile Cloud Computing in Higher Education: Case study at An-Najah University

Abdallah,

Kielani

2024

INT J INSTRUCTION

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The integration of mobile learning applications has emerged as indispensable in higher education, yet the widespread adoption of mobile cloud computing technology within university settings remains limited in developing countries. This research seeks to bridge this gap by elucidating the primary factors influencing the decision to adopt mobile cloud computing in universities. To attain this objective, a comprehensive model is proposed, encompassing seven established technological factors along with novel considerations such as quality of service and social influence. The study involves data collection from 210 students and academic staff An-Najah National University in Palestine. The investigation underscores the paramount influence of quality of service, perceived usefulness, perceived ease of use, facilitating conditions, social influence, management support, and privacy on mobile cloud adoption. Furthermore, the research brings to light the persistent concerns surrounding security and privacy, serving as significant impediments to mobile cloud adoption in Palestinian Universities. The implications of these findings extend to higher educational institutions, mobile cloud service providers, and decision-makers. The identified factors serve as critical considerations for successful implementation of mobile cloud computing technology. Moreover, the research sheds light on the societal and scientific significance by addressing the motivation behind the title—exploring the utility of Mobile Computing Technology in enhancing educational processes.

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“…As with other management disciplines, the IT implementation literature has also identified the role of top management support in initiating, implementing and utilizing some of the information technology (Goel & Yang, 2015). As a research by Rahimah & Aziati, (2017) resulted in the highest management support being an important factor in the implementation of cloud computing. According to them, the readiness of top management to understand the benefits associated with cloud computing business and competitiveness, and to implement it in the organization is also important.…”

Section: Top Management Supportmentioning

confidence: 99%

Organization Support for Cloud Computing Implementation Success in Education System: Scale Development and Validity in Delphi

Rahimah¹,

Aziati²,

H.B³

et al. 2018

IJET

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Cloud computing (CC) support for learning systems has been viewed as one of the most discussed issues that promise to modernize computing by providing visualized resources as a service over the internet. To be stable in cloud computing acquisition requires an education institution to address many of the same concerns they face in implementing an Information System (IS) service. Currently, there is still lack of CC implementation standard and organizational support that impacted VLE system performance. Previous research has reported that the influence of the CC implementation decision depends on the impact of various factors studied. Nonetheless, organizational support is the least factor mentioned especially studies from Malaysia. Thus, the main purpose of this study is to develop a validated scale of organizational support in implementation decision activities towards CC implementation success. In this paper, the Delphi process adopted to measure consensus among nominal group technique (also known as the expert panel). Key methodological issues in using the methods are discussed, along with the distinct contribution of consensus methods as aids to decision making in education service development. The study has adapted stages of proses flow of scale development and validation of measurement items according to legitimate measures in the Delphi technique. The measurement scales formed are based on literature review and field studies conducted to increase the reliability and validity values. Organizational support constructs were divided into top management support, firm size, awareness, Technology Readiness and cost effectiveness. A total of 5 items have been successfully set up for further validation.

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The Integrated Framework of Cloud Computing Implementation in Higher Education Institution: A Review of Literature

Cited by 9 publications

References 16 publications

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

Exploring Key Factors Influencing the Adoption of Mobile Cloud Computing in Higher Education: Case study at An-Najah University

Organization Support for Cloud Computing Implementation Success in Education System: Scale Development and Validity in Delphi

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