[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3662":3,"related-3662":61},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":18,"tags":20,"primary_topic":9,"secondary_topics":21,"classification":22,"search_phrases":38,"slug":39,"view_count":40,"doi":41,"paper":42,"created_at":60},3662,"Using Artificial Intelligence Systems to Improve the Performance and Sustainability of Production Processes in The Iraqi Oil and Gas Sector","https:\u002F\u002Fdoi.org\u002F10.26437\u002F4dhk7451","Purpose: The purpose of this study is to analyse the relationship between artificial intelligence (AI) applications and the achievement of sustainability in the Iraqi oil and gas sector by exploring the available opportunities and potential risks associated with adopting intelligent technologies and proposing a roadmap for their effective utilisation. Design\u002FMethodology\u002FApproach: The study adopts a descriptive analytical approach supported by an applied exploratory method. AI is considered the independent variable and is measured through five dimensions: predictive and intelligent analytics systems, predictive maintenance, robotics and autonomous systems, big data analytics, and intelligent decision support systems. Sustainability is the dependent variable and is measured through its environmental, economic, and social dimensions. The study was conducted in 2025 within the Iraqi oil and gas sector, particularly companies operating in Basra Governorate. A total of 165 questionnaires were distributed, of which 151 valid responses were received, representing a response rate of 91.5%. The data were analysed using SPSS through reliability and validity tests and multiple regression analysis. Research Limitation: The study is limited to the Iraqi oil and gas sector, particularly companies operating in Basra Governorate, and the data were collected during 2025. The findings are based on questionnaire responses and may therefore have limited generalizability to other sectors or geographical contexts. Findings: The results indicate a statistically significant relationship between the application of AI technologies and the achievement of sustainability. The findings confirm that AI technologies contribute to improving operational performance while enhancing environmental, economic, and social sustainability within the Iraqi oil and gas sector. Practical Implication: The study recommends establishing an integrated system to periodically and systematically measure the impact of AI technologies on sustainability, enabling organisations to improve operational efficiency and support sustainable development objectives. Social Implication: The adoption of AI technologies can enhance environmental protection, improve workplace safety, and promote sustainable practices that contribute to broader social and economic development within the Iraqi oil and gas sector. Originality\u002FValue: The study contributes to the limited body of research on AI adoption and sustainability in the Iraqi oil and gas sector by examining AI through five technological dimensions and sustainability through its environmental, economic, and social dimensions, providing empirical evidence and a practical roadmap for the effective implementation of AI to support sustainability.","目的：本研究旨在通过探讨采用智能技术所带来的可用机遇与潜在风险，分析人工智能（AI）应用与伊拉克石油和天然气行业实现可持续发展之间的关系，并提出有效利用这些技术的路线图。设计\u002F方法\u002F路径：本研究采用描述性分析方法，并辅以应用探索性方法。人工智能被视为自变量，通过五个维度进行衡量：预测与智能分析系统、预测性维护、机器人技术与自主系统、大数据分析以及智能决策支持系统。可持续发展为因变量，通过其环境、经济和社会维度进行衡量。本研究于2025年在伊拉克石油和天然气行业开展，尤其是巴士拉省运营的企业。共发放165份问卷，回收有效问卷151份，回复率为91.5%。数据通过SPSS进行信效度检验和多元回归分析。研究局限：本研究仅限于伊拉克石油和天然气行业，尤其是巴士拉省运营的企业，数据于2025年收集。研究结果基于问卷回复，因此对其他行业或地理背景的推广性可能有限。研究发现：结果表明，人工智能技术的应用与实现可持续发展之间存在统计上显著的关系。研究结果证实，人工智能技术有助于改善运营绩效，同时增强伊拉克石油和天然气行业的环境、经济和社会可持续性。实践意义：本研究建议建立一个综合系统，定期、系统地衡量人工智能技术对可持续发展的影响，使组织能够提高运营效率并支持可持续发展目标。社会意义：采用人工智能技术可以加强环境保护、改善工作场所安全，并促进可持续实践，从而推动伊拉克石油和天然气行业更广泛的社会和经济发展。原创性\u002F价值：本研究为关于人工智能采用与可持续发展的有限研究文献作出了贡献，尤其是在",null,"African Journal Of Applied Research","2026-09-26T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究聚焦伊拉克石油天然气行业的AI应用与可持续性，与三农、农业信息化、智慧农业、数字乡村等主题无关，不予入选。",[19],{"name":10,"url":6},[12],[],{"status":23,"locked":14,"version":24,"method":25,"evidence":26},"needs_review","2026-10-22.2","rules",{"candidates":27,"agricultural_evidence":14,"reason":37},[28],{"code":29,"score":30,"supported":31,"title":32,"abstract":34,"tags":36},"I2",14,true,[33],"artificial intelligence",[33,35],"decision support",[],"农业相关性需要复核",[],"UsingArtificialIntelligenceSystemstoImpr-3662",2,"10.26437\u002F4dhk7451",{"doi":41,"openalex_id":43,"authors":44,"venue":10,"cited_by_count":15,"oa_url":51,"card":52,"direction":58,"ingested_from":59},"W7214422695",[45,47,49],{"name":46,"orcid":9},"R. Abduljalil Majeed Al-Hassan",{"name":48,"orcid":9},"M. Jasim Mohammed Alsalman",{"name":50,"orcid":9},"A. Basil Abdulkareem Albasri","https:\u002F\u002Fwww.ajaronline.com\u002Findex.php\u002FAJAR\u002Farticle\u002Fdownload\u002F2185\u002F928",{"tldr":53,"method":54,"finding":55,"direction":56,"opportunity":57},"研究伊拉克油气行业AI应用与可持续发展的关系，并提出实施路线图。","对巴士拉油气企业发放165份问卷，用SPSS做信效度与多元回归分析。","AI应用与可持续发展存在显著正相关，能提升运营绩效及环境、经济、社会可持续性。","其他","可借鉴其AI-可持续性评估框架，迁移到农业场景，构建农业AI应用的综合可持续性评价体系。","智慧农业 \u002F 农业物联网","openalex","2026-09-28T23:30:08.267365Z",{"total":15,"page":62,"page_size":62,"items":63},1,[]]