{"title":"Factors Influencing Cloud Computing Adoption in a Zero-Trust Environment","authors":"","doi":"10.33140/amlai.05.01.03","DOIUrl":null,"url":null,"abstract":"Purpose The quantitative study explores IT professionals' perspectives on factors influencing cloud computing adoption using zero-trust environments in government agencies and understanding cloud computing's various security challenges hindering organizations' information technology modernization from adopting cloud services. Design/methodology/approach The extended TAM-TOE model, integrating the Technology-Organization-Environment (TOE) framework and the Technology Acceptance Model (TAM), was applied to explore the variables influencing cloud adoption. Sample data from 178 IT professionals employed by government agencies with experience in cloud computing technology and zero-trust security were collected for statistical analysis to answer research questions and test hypotheses. Three regression models were used to analyze and determine how the extended TAM-TOE factors influence cloud adoption using zero-trust environments. Findings The extended TAM-TOE model is appropriate for studying cloud adoption in a zero-trust environment. The model explains and reveals the various factors that can be used to predict cloud computing adoption. The variables complexity, top management support, and training and education significantly predicted perceptions about cloud computing's ease of use; compatibility and perceived ease of use significantly predicted perceptions about cloud computing's usefulness; trading partner support, perceived ease of use, and perceived usefulness significantly predicted cloud adoption intention in a zerotrust environment. Practical Implication Future researchers could build on the study's findings to advance design studies on cloud computing adoption in zero-trust environments. Zero trust can be studied as an independent variable for understanding the incentives or barriers impacting cloud adoption intention. Originality/value The research contributes to the literature gap on factors impacting cloud computing adoption using zerotrust environments. It presents the significant factors influencing cloud adoption, providing a roadmap to secure cloud services to meet regulatory requirements.","PeriodicalId":186756,"journal":{"name":"Advances in Machine Learning & Artificial Intelligence","volume":"13 13","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Machine Learning & Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33140/amlai.05.01.03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Purpose The quantitative study explores IT professionals' perspectives on factors influencing cloud computing adoption using zero-trust environments in government agencies and understanding cloud computing's various security challenges hindering organizations' information technology modernization from adopting cloud services. Design/methodology/approach The extended TAM-TOE model, integrating the Technology-Organization-Environment (TOE) framework and the Technology Acceptance Model (TAM), was applied to explore the variables influencing cloud adoption. Sample data from 178 IT professionals employed by government agencies with experience in cloud computing technology and zero-trust security were collected for statistical analysis to answer research questions and test hypotheses. Three regression models were used to analyze and determine how the extended TAM-TOE factors influence cloud adoption using zero-trust environments. Findings The extended TAM-TOE model is appropriate for studying cloud adoption in a zero-trust environment. The model explains and reveals the various factors that can be used to predict cloud computing adoption. The variables complexity, top management support, and training and education significantly predicted perceptions about cloud computing's ease of use; compatibility and perceived ease of use significantly predicted perceptions about cloud computing's usefulness; trading partner support, perceived ease of use, and perceived usefulness significantly predicted cloud adoption intention in a zerotrust environment. Practical Implication Future researchers could build on the study's findings to advance design studies on cloud computing adoption in zero-trust environments. Zero trust can be studied as an independent variable for understanding the incentives or barriers impacting cloud adoption intention. Originality/value The research contributes to the literature gap on factors impacting cloud computing adoption using zerotrust environments. It presents the significant factors influencing cloud adoption, providing a roadmap to secure cloud services to meet regulatory requirements.