[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5018":3,"related-5018":68},{"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":15,"doi":40,"paper":41,"created_at":67},5018,"Mobilising AI Capability for Sustainable Supply‐Chain Transformation: The Mediating Role of Green Lean Six Sigma","https:\u002F\u002Fdoi.org\u002F10.1002\u002Fbse.71697","ABSTRACT This study examines how artificial intelligence (AI) capability can be mobilised as a strategic organisational capability for sustainable supply‐chain transformation. Integrating the Natural Resource‐Based View, Dynamic Capabilities Theory and Sociotechnical Systems Theory, the study argues that AI‐enabled sensing and decision support do not automatically translate into sustainability outcomes; strategic value emerges when technological resources, managerial competencies, human expertise and process routines are aligned. Green Lean Six Sigma (GLSS) is therefore conceptualised as an organisational architecture that converts AI‐generated insight into disciplined problem definition, waste and variation reduction, process redesign, standardisation and continuous improvement. Survey data from 361 managers and executives in supply‐chain‐intensive organisations across multiple Southeast Asian countries and sectors were analysed using partial least squares structural equation modelling. AI capability is positively associated with GLSS implementation, whereas GLSS is positively associated with environmental, economic and social supply‐chain performance. Significant indirect effects further show that GLSS acts as the transmission mechanism linking AI capability to all three triple‐bottom‐line outcomes. Because the estimated structural model did not include direct AI capability‐to‐performance paths, the evidence is interpreted as support for indirect effects rather than as proof of partial mediation. The study contributes to business strategy and sustainability research by explaining how an AI capability becomes strategically valuable when embedded in a sociotechnical improvement architecture. It also offers a staged managerial road map for harmonising AI investment, GLSS techniques and sustainable business transformation.","摘要 本研究考察人工智能（AI）能力如何被调动为一种战略性的组织能力，以推动可持续供应链转型。研究整合了自然资源基础观、动态能力理论和社会技术系统理论，认为AI赋能的感知与决策支持并不会自动转化为可持续性成果；只有当技术资源、管理能力、人力专业知识和流程惯例相互协调时，战略价值才会显现。因此，绿色精益六西格玛（GLSS）被概念化为一种组织架构，将AI生成的洞见转化为规范的问题界定、浪费与变异削减、流程再造、标准化和持续改进。研究采用偏最小二乘结构方程模型，分析了来自多个东南亚国家和行业、供应链密集型组织中的361名经理和高管的调查数据。AI能力与GLSS实施呈正相关，而GLSS与环境、经济和社会供应链绩效均呈正相关。显著的间接效应进一步表明，GLSS是连接AI能力与三重底线全部三项结果的传导机制。由于所估计的结构模型未包含AI能力到绩效的直接路径，相关证据被解释为对间接效应的支持，而非部分中介作用的证明。本研究通过阐释AI能力在嵌入社会技术改进架构时如何变得具有战略价值，为商业战略与可持续性研究作出了贡献。研究还提供了一份分阶段的管理路线图，以协调AI投资、GLSS技术和可持续商业转型。",null,"Business Strategy and the Environment","2026-10-13T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究聚焦AI能力与绿色精益六西格玛对可持续供应链转型的作用，属企业管理与可持续运营领域，与三农、农业信息化、智慧农业、数字乡村等主题无直接关联，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":33,"tags":36},"I2",6,true,[],[34,35],"artificial intelligence","decision support",[],"农业相关性需要复核",[],"MobilisingAICapabilityforSustainableSupp-5018","10.1002\u002Fbse.71697",{"doi":40,"openalex_id":42,"authors":43,"venue":10,"cited_by_count":15,"oa_url":59,"card":60,"direction":64,"ingested_from":66},"W7221677323",[44,47,50,53,56],{"name":45,"orcid":46},"Miraj Ahmed Bhuiyan","https:\u002F\u002Forcid.org\u002F0000-0001-9321-972X",{"name":48,"orcid":49},"Muhammad Khalilur Rahman","https:\u002F\u002Forcid.org\u002F0000-0001-9057-9121",{"name":51,"orcid":52},"Md Arafat Hossain","https:\u002F\u002Forcid.org\u002F0000-0001-8272-1220",{"name":54,"orcid":55},"Ping Hu","https:\u002F\u002Forcid.org\u002F0000-0003-2633-0780",{"name":57,"orcid":58},"Vincenzo Basile","https:\u002F\u002Forcid.org\u002F0000-0001-8776-0915","https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002Fpdfdirect\u002F10.1002\u002Fbse.71697",{"tldr":61,"method":62,"finding":63,"direction":64,"opportunity":65},"研究AI能力如何通过绿色精益六西格玛推动可持续供应链转型。","对东南亚361名管理者问卷，用PLS-SEM分析中介效应。","AI能力通过GLSS间接提升环境、经济、社会三重供应链绩效。","农业绿色发展与碳","可将该中介机制迁移至农业供应链，检验AI+GLSS对农产品绿色绩效的作用。","openalex","2026-10-15T23:31:02.611635Z",{"total":15,"page":69,"page_size":69,"items":70},1,[]]