{"title":"The Role of Cloud Computing on the Governmental Units Performance and EParticipation (Empirical Study)","authors":"Radwan n Al-Dwairi, Wafa’a Jditawi","doi":"10.15849/ijasca.221128.06","DOIUrl":null,"url":null,"abstract":"Abstract Cloud computing is an effective technology for businesses and government sections to enhance their performance. In many modern countries adoption of cloud computing improves its success in reducing the costs with high level of eservices offered to citizens. However, many developing countries are still reluctant to adopt cloud computing and received very little empirical support. This study reviews the literature of this domain and builds a model to examine the main drivers that help decision makers in adoption of cloud technology with e-government sectors. Based on a sample of 326 respondents data analyzed using the Structural Equation Modelling though Smart Partial Least Squares technique. The study revealed that mobility, cost, backup & disaster recovery, scalability & flexibility are the key drivers that significantly affect employees’ intention to adopt cloud computing for governmental units which in turn positively influence the effectiveness of e-participation Keywords: Cloud computing, E-government, E-participation, Scalability, Mobility, Backup & Disaster recovery.","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advances in Soft Computing and its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15849/ijasca.221128.06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Cloud computing is an effective technology for businesses and government sections to enhance their performance. In many modern countries adoption of cloud computing improves its success in reducing the costs with high level of eservices offered to citizens. However, many developing countries are still reluctant to adopt cloud computing and received very little empirical support. This study reviews the literature of this domain and builds a model to examine the main drivers that help decision makers in adoption of cloud technology with e-government sectors. Based on a sample of 326 respondents data analyzed using the Structural Equation Modelling though Smart Partial Least Squares technique. The study revealed that mobility, cost, backup & disaster recovery, scalability & flexibility are the key drivers that significantly affect employees’ intention to adopt cloud computing for governmental units which in turn positively influence the effectiveness of e-participation Keywords: Cloud computing, E-government, E-participation, Scalability, Mobility, Backup & Disaster recovery.
期刊介绍:
The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Advances in Soft Computing and Its Applications. IJASCA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. IJASCA invites submissions in all areas of Soft Computing and Its Applications. The scope of the journal includes, but is not limited to: √ Soft Computing Fundamental and Optimization √ Soft Computing for Big Data Era √ GPU Computing for Machine Learning √ Soft Computing Modeling for Perception and Spiritual Intelligence √ Soft Computing and Agents Technology √ Soft Computing in Computer Graphics √ Soft Computing and Pattern Recognition √ Soft Computing in Biomimetic Pattern Recognition √ Data mining for Social Network Data √ Spatial Data Mining & Information Retrieval √ Intelligent Software Agent Systems and Architectures √ Advanced Soft Computing and Multi-Objective Evolutionary Computation √ Perception-Based Intelligent Decision Systems √ Spiritual-Based Intelligent Systems √ Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft Computing in various applications.