Factors Influencing Cloud Computing Adoption in a Zero-Trust Environment

{"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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
影响零信任环境中云计算应用的因素
目的 本定量研究探讨了信息技术专业人员对政府机构使用零信任环境采用云计算的影响因素的看法,并了解了云计算在采用云服务过程中阻碍组织信息技术现代化的各种安全挑战。设计/方法/途径 应用扩展的 TAM-TOE 模型,整合技术-组织-环境(TOE)框架和技术接受模型(TAM),探讨影响云计算采用的变量。研究收集了 178 名受雇于政府机构、具有云计算技术和零信任安全经验的 IT 专业人员的样本数据进行统计分析,以回答研究问题并检验假设。使用三个回归模型来分析和确定扩展的 TAM-TOE 因素如何影响零信任环境下的云采用。研究结果 扩展 TAM-TOE 模型适用于研究零信任环境下的云采用情况。该模型解释并揭示了可用于预测云计算采用情况的各种因素。复杂性、高层管理支持、培训和教育等变量对云计算易用性的认知有显著的预测作用;兼容性和感知易用性对云计算有用性的认知有显著的预测作用;贸易伙伴支持、感知易用性和感知有用性对零信任环境中云计算的采用意向有显著的预测作用。实际意义 未来的研究人员可以在本研究结论的基础上,推进零信任环境下云计算采用的设计研究。可将零信任作为一个自变量进行研究,以了解影响云计算采用意向的诱因或障碍。原创性/价值 该研究填补了有关零信任环境下云计算应用影响因素的文献空白。它提出了影响云计算采用的重要因素,提供了确保云服务安全以满足监管要求的路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Forecasting Next-Time-Step Forex Market Stock Prices Using Neural Networks Factors Influencing Cloud Computing Adoption in a Zero-Trust Environment Factors Influencing Cloud Computing Adoption in a Zero-Trust Environment Exploring the Integration of Machine Learning Models in Programming Languages on GitHub: Impact on Compatibility to Address Them Stress-based Classification of Electrocardiogram Signals Before and After Music Therapy using Heart Rate Variability and Machine Learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1