欢迎访问上海交通大学数字化管理决策实验室
中国消费市场是一个多层次价值主张的消费市场,拥有最多元化的消费群体。随着消费需求日益复杂化,消费模式正在经历一场深刻的变革。为了应对复杂的市场变化,深入洞察和理解消费者的多维需求及行为动机,更敏捷地捕捉关键消费趋势,已经成为了市场参与者共同面临的重要课题。在此背景下,为了更好地把握消费者,了解纷繁复杂的消费需求,天猫DIGITAL生态实验室携手上海交通大学数字化管理与决策实验室,于1月5日在上海交通大学成立消费行为研究中心,旨在通过产学研结合,集合各方力量,更敏捷地捕捉消费者关键趋势,深挖消费行为背后动机和心理,以洞察驱动商业价值的实现。在经济新常态背景下,消费者正从短期满足转向长期可持续行为模式,因此研究中心选择将绿色消费作为首项研究课题,用数字技术驱动消费产业绿色升级,促进商业价值和社会价值的统一。在成立仪式上,淘天集团天猫事业部商家成长总经理刘洋、上海交通大学安泰经济与管理学院副院长才凤艳教授、中欧国际工商学院市场营销学教授 ESG研究领域主任王雅瑾、OATLY大中华区可持续发展副总监俞建雷、yehyehyeh创新社创始人叶晓薇、淘天集团天猫事业部商家成长消费者策略和洞察负责人王
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数字化管理决策实验室举办《咨政建言写作的实践与思考》专题讲座
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我院才凤艳教授在《管理科学学报》上发表论文
交大安泰经管学院陈方若院长率团访问欧洲合作院校
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持续加强国际交流与合作!交大安泰陈方若院长率团出席AACSB国...
数字化管理决策实验室 学生科研实验资助项目公示
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本项目是上海交通大学数字化管理决策实验室与智能计算研究院的联合研究项目,依托安泰经济与管理学院,由葛冬冬教授领导的团队执行。项目聚焦于人工智能与运筹优化算法的深度融合,致力于打造更智能、高效、可解释的新一代优化决策引擎,以响应国家“智能计算+智能决策”的战略需求,推动管理决策领域的理论突破与产业应用。一、研究方向本项目的研究工作围绕“大模型与运筹优化”的交叉领域,形成两大相辅相成的技术路线。第一条路线是以人工智能拓展决策科学的边界,旨在突破传统优化方法依赖于精确模型和结构化数据的局限,将大模型的深度语义理解、逻辑推理与知识泛化能力,用于解决复杂动态环境下的决策问题。研究的核心在于赋予人工智能系统自主理解商业逻辑、自动构建数学模型、并生成高质量决策的能力,从而在充满不确定性的战略规划、供应链协同和实时资源调度等领域,实现从“数据驱动”到“认知驱动”的决策范式变革。第二条路线是以运筹优化夯实人工智能的根基,将运筹学的系统建模与优化理论,应用于解决大规模人工智能自身存在的瓶颈问题。这不仅是通过算法优化来提升模型训练与推理的计算与通信效率,更是从数学的视角,为分布式系统调度、模型架构设计和学习
主动健康战略与发展研究院(Institute for Proactive Healthcare, SJTU)于2023年10月22日正式成立,是上海交通大学贯彻落实"健康中国"战略的重要举措。研究院立足于我国进入"大健康时代"的背景,推动医疗卫生体系从以治病为中心向以健康为中心转变,致力于通过多学科交叉研究提升全民健康水平。研究院整合工程管理学、公共卫生、医学科学、信息科学等先进研究手段,围绕"主动健康"和"慢病管理"两大战略目标,开展前沿科学研究与成果转化,为建设高水平健康中国提供科技支撑和智库服务。一、研究方向Health-X主动健康数字化研究平台:作为研究院的核心技术支撑平台,整合人工智能、大数据、云计算等数字技术,构建覆盖健康全生命周期的数字化研究体系。平台重点开展多源异构健康数据融合、智能决策模型构建、精准干预工具研发等关键技术研究,为各专项研究方向提供技术支撑和方法学指导。健康运动研究(Health-Sports)聚焦运动促进健康的科学机制研究,通过数字化手段监测运动干预效果,开发基于个体特征的
一、研究方向陆铭教授团队将区域与城乡发展的一般理论与转型期中国的体制特征和政策实践相结合,从理论创新与政策研究两个维度,系统研究大国经济的区域协调发展规律,致力于构建具有中国特色的“空间政治经济学”理论体系,为全国统一大市场建设和区域协调发展提供系统的研究支撑与政策建议,推动实现“在发展中促进相对平衡”的目标。 二、主要研究成果在研究实践中,团队融合动态空间一般均衡与博弈论等前沿方法,依托多维大数据与多尺度评估体系,精细化评估区域政策对中国经济发展的影响。围绕健全区域协调发展体制机制,研究市场与政府的博弈与互动;聚焦全国统一大市场建设与要素市场化改革,推动形成高标准市场体系;以城市群、都市圈为依托,构建大中小城市协调发展的新格局;深化新型城镇化与户籍制度改革,促进农业转移人口市民化;关注新技术、新业态条件下区域与城市发展的新趋势,探索数字经济时代的城市空间结构优化;广泛地与大数据企业、平台企业合作,通过大数据构建区域和城乡发展的指标体系,对公共政策和企业发展进行双向赋能。 三、应用实践研究团队科研成果丰硕,影响广泛,论文发表于《中国社会科学》《经济研究》《管理世界》
企业智能管理决策理论与应用研究中心是上海交通大学“数字化管理决策”实验室的重要组成部分。研究中心建设秉持着“成为世界一流的管理决策理论创新中心、人才培养基地和中国重大管理实践问题的决策智库”的定位,坚持“面向数字化时代,顺应多学科交叉趋势,帮助解决中国重大管理实践问题”的指导思想,总体建设目标为开发集研究和教学于一体的管理决策实验平台,应用于我国企业管理决策,产生若干管理决策原创性理论成果,培养一批管理决策人才,提供中国企业智能化决策支持。研究中心分为“数字孪生智能制造管理决策”和“数字孪生智慧服务与物流供应链管理决策”两个实验室。前者主要面向智能制造服务,搭建数字孪生平台,辅助智能化管理决策;后者主要面向物流供应链,搭建仿真平台,辅助企业进行智能化决策。一、研究方向1. 现代物流与供应链管理智慧物流区域物流及城市物流可持续物流与供应链安全全球供应链及国际物流供应链金融与区块链2. 智能制造及服务型制造运营管理智能制造运营管理数字化精益生产管理服务型制造与制造服务化仿真优化与数字孪生智能制造核心算法及工业软件3. 服务工程管理大健康工程管理智慧服务与智能服务管理精益医院与智慧医院管理医