Structural equation modeling in cloud computing studies: a systematic literature review

Pişirir, Erhan; Uçar, Erkan; Chouseinoglou, Oumout; Sevgi, Cüneyt

doi:10.1108/k-12-2018-0663

Cited by 11 publications

(16 citation statements)

References 107 publications

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“…SEM is a second-generation statistical method. It makes it possible to model relations among several independent and dependent variables (Pis ¸irir et al, 2020). This fact is considered an advantage compared to the regression-based method (Gefen and Straub, 2005).…”

Section: Cloud-based E-learning Systemsmentioning

confidence: 99%

Assessing the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of cloud-based e-learning systems in the COVID-19 era

Teng

Tan

2021

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PurposeOne of the most significant threats of COVID-19 in the world is the closure of universities, schools, training courses and even companies and organizations. In such a situation and with the free time that has arisen, this threat of education closure can become a golden opportunity for learning and progress in virtual education. E-learning uses information technology (IT) to distribute knowledge and information for training and education. Also, cloud computing is a technology utilized in the IT domain. It can be employed in performing e-learning. Therefore, the main goal of this study is to assess the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era.Design/methodology/approachCloud-based e-learning system (CELS) provides all e-learning requirements like software and hardware resources to promote conventional e-learning technologies. The CELS stands on several factors of diverse aspects that have been of high significance in CELS success. So, these systems must be checked to analyze their significance rate and successfully carry out their effectiveness. On the other hand, these days, the 2019 coronavirus disease (COVID-19) changes our daily lifestyles. Therefore, the present investigation provides a new model investigating the development and success of CELS in the COVID-19 era. Also, an online questionnaire was used to gather the data. The content validity of the questionnaire was obtained by applying the opinions of ten experts from e-learning specialists. The collected data are analyzed using LISREL and Smart PLS software.FindingsThe results from the path coefficient and the sample t-test have implied that skills and knowledge positively influence CELS in the COVID-19 era. In addition, the relationship between cultural characteristics and CELS in the COVID-19 era has been positive and significant. The relationship between the economic situations and the CELS in the COVID-19 era is positive and significant.Practical implicationsThe proposed model helps managers get a big picture of CELS necessities and more effectively in the COVID-19 era. This research has a unique impact on universities to develop an e-learning platform to facilitate the education process in the COVID-19 era. It provides guidelines for educational institutions to effectively implement the learning management system to facilitate students' education.Originality/valueCELS are getting increasingly essential to offer training courses more efficiently in educational institutions. Although the intersection between cloud computing and e-learning has increasingly grown in both practical and academic contexts, few studies on the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era. This paper explores the ignored but critically important subject of CELS. This paper's main contribution is to present a new and integrated model containing the essential aspects of the development and success of CELS in the COVID-19 era. The proposed framework comprises cultural characteristics, economic situations, skills and knowledge aspects simultaneously, as well as sub-criteria denoting each element.

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Section: Cloud-based E-learning Systemsmentioning

confidence: 99%

Assessing the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of cloud-based e-learning systems in the COVID-19 era

Teng

Tan

2021

View full text Add to dashboard Cite

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“…Since the article reviewing via SLR is a replicable, impartial, systematic, fair, clear, and complete process, it can be considered the first selection of article reviewing procedure. [62][63][64] An SLR is derived from the medical field, [65][66][67] in which a repeatable approach is provided. The SLR must provide enough details to be taken into account by other investigators using some metrics such as the number of citations.…”

Section: Methodsmentioning

confidence: 99%

Intrusion detection systems in the cloud computing: A comprehensive and deep literature review

Liu

Cheng

et al. 2021

Concurrency and Computation

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Abrupt development of resources and rising expenses of infrastructure are leading institutions to take on cloud computing. Albeit, the cloud environment is vulnerable to various sorts of attacks. So, recognizing malicious software is one of the principal challenges in cloud security governance. Intrusion detection system (IDS) has turned to the most generally utilized element of computer system security that asserts the cloud from diverse sorts of attacks and threats. As evident, no systematic literature review exists that focuses on cloud computing usage within IDS processes. The previous investigations had not considered the statistical analysis method. Hence, this paper examined the IDS mechanisms in cloud computing systematically. Twenty-two articles have been obtained using defined filters divided into four sections: hypervisor-based IDS, network-based IDS, machine learning-based IDS, and hybrid IDS. The comparison is performed depending on the outcomes illustrated in the investigations. It demonstrates that IDS precision, inclusiveness, overhead, and reaction time have been discussed in many studies. Simultaneously, less attention has been paid to cost-sensitivity, functioning, attack tolerance, and intrusion facing. This paper has made an excellent effort to organize literature drawn from multiple sources into a manuscript.

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“…VMs with a high memory has been popular lately [43]. A host has deployed several heterogeneous VMs on a parallel computing platform termed a data centre in the cloud computing platform [44]. Virtualization technology grants VM subscribers administrative access within the guest operating system, allowing them to adjust their runtime resources to meet their individual requirements [45].…”

Section: Related Workmentioning

confidence: 99%

A multi‐objective method for virtual machines allocation in cloud data centres using an improved grey wolf optimization algorithm

et al. 2021

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Cloud computing is a rapidly evolving computational technology. It is a distributed computational system that offers dynamically scaled computational resources, such as processing power, storage, and applications, delivered as a service through the Internet. Virtual machines (VMs) allocation is known as one of the most significant problems in cloud computing. It aims to find a suitable location for VMs on physical machines (PMs) to attain predefined aims. So, the main purpose is to reduce energy consumption and improve resource utilization. Because the VM allocation issue is NP-hard, meta-heuristic and heuristic methods are frequently utilized to address it. This paper presents an energy-aware VM allocation method using the improved grey wolf optimization (IGWO) algorithm. Our key goals are to decrease both energy consumption and allocation time. The simulation outcomes from the MATLAB simulator approve the excellence of the algorithm compared to previous works.

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Structural equation modeling in cloud computing studies: a systematic literature review

Cited by 11 publications

References 107 publications

Assessing the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of cloud-based e-learning systems in the COVID-19 era

Assessing the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of cloud-based e-learning systems in the COVID-19 era

Intrusion detection systems in the cloud computing: A comprehensive and deep literature review

A multi‐objective method for virtual machines allocation in cloud data centres using an improved grey wolf optimization algorithm

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