scholarly journals A Systematic Literature Review of Cloud Computing in Ehealth

2014 ◽  
Vol 3 (4) ◽  
pp. 11-20 ◽  
Author(s):  
Yan Hu ◽  
Guohua Bai
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Systematic Literature Review

scholarly journals Systematic Literature Review on Penetration Testing for Mobile Cloud Computing Applications

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 173524-173540 ◽  
Author(s):  
Ahmad Salah Al-Ahmad ◽  
Hasan Kahtan ◽  
Fadhl Hujainah ◽  
Hamid A. Jalab
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Penetration Testing

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

Kybernetes ◽  
2019 ◽  
Vol 49 (3) ◽  
pp. 982-1019
Author(s):  
Erhan Pişirir ◽  
Erkan Uçar ◽  
Oumout Chouseinoglou ◽  
Cüneyt Sevgi
Keyword(s):  
Cloud Computing ◽  
Structural Equation Modeling ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Structural Equation ◽  
Security And Privacy ◽  
Equation Modeling ◽  
Content Type ◽  
Current State ◽  
Sem Studies

Purpose This study aims to examine the current state of literature on structural equation modeling (SEM) studies in “cloud computing” domain with respect to study domains of research studies, theories and frameworks they use and SEM models they design. Design/methodology/approach Systematic literature review (SLR) protocol is followed. In total, 96 cloud computing studies from 2009 to June 2018 that used SEM obtained from four databases are selected, and relevant data are extracted to answer the research questions. Findings A trend of increasing SEM usage over years in cloud studies is observed, where technology adoption studies are found to be more common than the use studies. Articles appear under four main domains, namely, business, personal use, education and health care. Technology acceptance model (TAM) is found to be the most commonly used theory. Adoption, intention to use and actual usage are the most common selections for dependent variables in SEM models, whereas security and privacy concerns, costs, ease of use, risks and usefulness are the most common selections for causal factors. Originality/value Previous cloud computing SLR studies did not focus on statistical analysis method used in primary studies. This review will display the current state of SEM studies in cloud domain for all future academics and practical professionals.

scholarly journals Challenges of cloud computing use: A systematic literature review

2018 ◽  
Vol 200 ◽  
pp. 00007 ◽  
Author(s):  
Ibtissam M’rhaoaurh ◽  
Chafik Okar ◽  
Abdelwahed Namir ◽  
Nadia Chafiq
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Service Delivery ◽  
Systematic Literature Review ◽  
Service Access ◽  
New Paradigm ◽  
It Service ◽  
Cloud Computing Adoption ◽  
Self Service ◽  
Systematic Framework

Background: In recent years, cloud computing has grown vastly. Cloud computing represents a new model for IT service delivery and it typically provides over-a-network, ondemand, self-service access, which is dynamically scalable and elastic, using pools of often virtualized resources. However, this new paradigm is facing diverse challenges from many fronts. Methods: We conducted a systematic literature review of potential challenges of cloud computing. Documents that described challenges of cloud computing were collected of routinely. We grouped identified challenges in taxonomy for a focused international dialogue on solutions. Results: Twenty-three potential challenges were identified and classified in three categories: policy and organizational, technical and legal. The first three categories are deeply rooted in well-known challenges of cloud computing. Conclusions: The simultaneous effect of multiple interacting challenges ranging from technical to intangible issues has greatly complicated advances in cloud computing adoption. A systematic framework of challenges of cloud computing will be essential to accelerate the use of this technology for working well in fact and in order to face with respect to mitigating IT-related cloud computing risks.

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