Human Resource Management and Technology Development in Artificial Intelligence Adoption in the UAE Energy Sector

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2021-12-01 DOI:10.2478/jaes-2021-0010
Hassan Ali Hassan Altaffaq Almarashda, I. Baba, A. A. Ramli, A. Memon, I. Rahman
{"title":"Human Resource Management and Technology Development in Artificial Intelligence Adoption in the UAE Energy Sector","authors":"Hassan Ali Hassan Altaffaq Almarashda, I. Baba, A. A. Ramli, A. Memon, I. Rahman","doi":"10.2478/jaes-2021-0010","DOIUrl":null,"url":null,"abstract":"Abstract Artificial Intelligence (AI) is proved a very effective technique in reducing complexity and making suitable quick decisions for achieving success. Artificial Intelligence is an emerging area and growing fast. It is used successfully in various fields. In UAE also, AI is being used in several sectors. Now the government of UAE has promoted AI in the energy sector to get the maximum of its benefits. Hence, this study evaluated various indicators that affect the promotion of AI in the energy section of the UAE. With the help of a questionnaire survey, 350 questionnaire forms were analyzed to prioritize the parameters affecting AII adoption. From the analysis results it was found that “Organization use AI to provide effective business innovation”, “Organizations use AI to align with its business strategy”, and “Organization use AI to improve the levels of production” are the key motivating factor to adopt AI. Significant parameters of AI technology include are; AI Technology is user friendly, AI Technology is able to improve the quality of the work and AI Technology fits well with the tasks involved; are reported as significant technological parameters to adopt AI. On the other hand, Referral person is required if facing difficulty with AI technology, and teammate support in using AI technology are essential parameters of the human resource management which affect AI adoption in the energy sector of the UAE. In addition, reliability and normality tests validated the data. Hence, these findings can be used to promote AI and understand the situation for making proper decisions.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/jaes-2021-0010","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 3

Abstract

Abstract Artificial Intelligence (AI) is proved a very effective technique in reducing complexity and making suitable quick decisions for achieving success. Artificial Intelligence is an emerging area and growing fast. It is used successfully in various fields. In UAE also, AI is being used in several sectors. Now the government of UAE has promoted AI in the energy sector to get the maximum of its benefits. Hence, this study evaluated various indicators that affect the promotion of AI in the energy section of the UAE. With the help of a questionnaire survey, 350 questionnaire forms were analyzed to prioritize the parameters affecting AII adoption. From the analysis results it was found that “Organization use AI to provide effective business innovation”, “Organizations use AI to align with its business strategy”, and “Organization use AI to improve the levels of production” are the key motivating factor to adopt AI. Significant parameters of AI technology include are; AI Technology is user friendly, AI Technology is able to improve the quality of the work and AI Technology fits well with the tasks involved; are reported as significant technological parameters to adopt AI. On the other hand, Referral person is required if facing difficulty with AI technology, and teammate support in using AI technology are essential parameters of the human resource management which affect AI adoption in the energy sector of the UAE. In addition, reliability and normality tests validated the data. Hence, these findings can be used to promote AI and understand the situation for making proper decisions.
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
阿联酋能源部门人工智能应用中的人力资源管理和技术发展
人工智能(AI)被证明是一种非常有效的技术,可以降低复杂性并做出合适的快速决策以获得成功。人工智能是一个新兴领域,发展迅速。它成功地应用于各个领域。在阿联酋,人工智能也被用于多个领域。现在,阿联酋政府已经在能源领域推广人工智能,以获得最大的收益。因此,本研究评估了影响人工智能在阿联酋能源部门推广的各种指标。在问卷调查的帮助下,我们分析了350份问卷表格,以优先考虑影响ai采用的参数。从分析结果中发现,“组织使用人工智能提供有效的业务创新”、“组织使用人工智能配合其业务战略”和“组织使用人工智能提高生产水平”是采用人工智能的关键激励因素。人工智能技术的重要参数包括;人工智能技术是用户友好的,人工智能技术能够提高工作质量,人工智能技术非常适合所涉及的任务;是采用人工智能的重要技术参数。另一方面,如果遇到人工智能技术的困难,则需要推荐人员,并且在使用人工智能技术方面的队友支持是人力资源管理的重要参数,这影响了阿联酋能源部门人工智能的采用。此外,可靠性和正态性检验验证了数据。因此,这些发现可以用来促进人工智能,了解情况,做出正确的决策。
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
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
期刊最新文献
Intentions to move abroad among medical students: a cross-sectional study to investigate determinants and opinions. Analysis of Medical Rehabilitation Needs of 2023 Kahramanmaraş Earthquake Victims: Adıyaman Example. Efficacy of whole body vibration on fascicle length and joint angle in children with hemiplegic cerebral palsy. The change process questionnaire (CPQ): A psychometric validation. Clinical Practice Guidelines on Palliative Sedation Around the World: A Systematic Review.
×
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