工程院院刊《工程管理前沿（英文）》和华中科技大学管理学院将于11月20日晚20:00-21:30在腾讯会议（ID：315 547 342，密码：1120），举办工程管理公益讲坛（四十八）——人工智能时代下的项目管理。
本期讲坛由清华大学李小冬教授和重庆大学王歌副教授主持，特别邀请北京科技大学杨青教授和香港大学李骁助理教授做主题报告。
工程院院刊《工程管理前沿（英文）》
华中科技大学管理学院
2024年11月11日
会议时间：11月20日晚上20:00-21:30（北京时间）
腾讯会议ID：315 547 342，密码：1120
主持人：李小冬，清华大学；王歌，重庆大学
Human-AI Trust and Coordination Innovation in New Product Development Projects
Qing Yang，University of Science and Technology Beijing (USTB)· 20:30-21:00
Smart work packaging system in industrialized constructionXiao Li，The University of Hong Kong (HKU)
Qing YANG is a professor for Project Management at School of Economics and Management, University of Science and Technology Beijing (USTB), member of school’s academic committee, director of Project Innovation Management Research Center and outstanding scholar at USTB.He received the M.E. and Ph.D. degrees from Northwestern Polytechnical University (NWPU), Xi’an, China. He served as a visiting scholar in the Department of Industrial Engineering at Pennsylvania State University, USA in 2010 and at the Vienna University of Economics and Business, Austria in 2019.He is the executive committee member of the Project Management Research Committee (PMRC) China, He is also the associate editor of Project Leadership and Society (PLAS) and editor of International Journal of Project Management. He has nearly ten years of practical work experience in aerospace R&D project management. In 2019, he was awarded the "Outstanding Educational Contribution Award for 20 Years (1999-2019) of Project Management Development in China" from the Ministry of Science and Technology of China. In 2023 and 2024, he chaired the Scientific Committee of the 11th and 12th International Project Management Association (IPMA) Research Conference. Focusing on the theoretical research and practice of project management, he has achieved innovative results in complex R&D project management based on structured methods, Dependency Structure Matrix (DSM) modeling and optimization, new product development project management, and R&D project management under big data environment. He has led five research projects and four international cooperation project funded by the National Natural Science Foundation of China (NSFC), as well as more than 20 consulting projects from famous companies such as Alibaba, Jingdong. 2024, his books Complex R&D Project Management - A Structured Approach Perspective won the second prize of the 17th Beijing Philosophy and Social Science Outstanding Achievement Award, awarded by Beijing City Government.Artificial Intelligence (AI) is revolutionizing project management in unprecedented ways. By simulating human intelligence, AI can not only automate tasks like project planning and resource forecasting to increase efficiency but also boost greater creative and innovative potential. Due to the New Product Development (NPD) project is a creative and innovative process, so AI has huge potential application in its lifecycle. Human-AI trust is the key to determining its role in the organization. However, due to the lack of interpretability and transparency of AI which based machine learning, the wide application of AI will bring potential risks to human-AI collaboration. Meanwhile, users often lack trust in AI and even have algorithm aversion, which will also bring risks to human-AI collaboration innovation and affect the resilience of human-AI teams. Therefore, it is a major challenge for organizations to deeply analyze human-AI trust during human-AI interaction. However, existing research neglected the quantitative analysis of human-AI trust. Therefore, based on some structure methods, including the Theory of Mind (ToM), Dependency Structure Matrix (DSM) and social network analysis (SNA), we build models to measure the trust among members of the human-AI coordination organization. Furthermore, we employ clustering methods to investigate how Human-AI trust influences project organization design, aiming to enhance efficiency and innovation capabilities.![]()
Xiao LI is an Assistant Professor with the Department of Civil Engineering, The University of Hong Kong (HKU). Xiao’s research mainly contributes to smart and industrialized construction, which includes assembly system, production system, and smart work packaging methodology for collaborative planning and control in construction. He has authored 50+ papers in peer-reviewed academic journals with more than 4700 citations. He is the Top 1% Scholars by Clarivate Analytics and World’s Top 2% Scientists by Stanford University, a fellow of the SYLFF Association, a National Registered Construction Engineer (Class 1), a member of the American Society of Civil Engineers and CIB, and guest editors of several leading journals in construction engineering and management. He held several international academic awards, e.g., 49TH Geneva Inventions Gold Medal, CIC Innovation Award, SYLFF Research Grant Award/Research Abroad Award, CIB Sebestyén Future Leaders Award, ASCE Best Paper Award, CRIOCM best paper award and CIOB (HK) Outstanding Paper Award. He also led various research projects in the following fields: Blockchain and distributed collaboration; Work package-based scheduling and optimization; Human-robot collaboration-based production robotics system; Intelligent carbon monitoring system; Assembly robot in modular construction.
Currently, there are challenges in dynamic work package generation, adaptive work package sizing, and decentralized work package execution in the fragmented, complex, and untrustworthy collaboration of industrialized construction. To address these limitations, this seminar will introduce the smart work packaging (SWP) system, a planning interface in industrialized construction to enable more efficient and effective collaborative working. The theoretical novelty is the SWP model for task planning. In SWP, as the duration and content of each planned task vary when projects progress, a task can be represented by an adaptive graph consisting of semantics formed by entities and relations. SWP can generate semantics-enriched tasks using attention-based graph neural networks adapting to dynamic changes in task contents. Furthermore, SWP can compute the optimal work package size by grouping semantic-enriched tasks for minimum cost within a makespan, adapting to task duration uncertainty based on stochastic optimization theory. SWP enables adaptive task generation and stochastic-based work package sizing in a local planner system. Studying blockchain will extend the SWP model from a local planner system to distributed supervision for accountable collaboration. Blockchain can expand the SWP model to the robot and stakeholder network using decentralized applications, e.g., decentralized scheduling, personalized monitoring, and digital supervision. The smart work packaging system demonstrates the potentials for next-generation project management in industrialized construction.![]()
Dr. Ge Wang is an Associate Professor at School of Public Policy and Administration, Chongqing University. He graduated from School of Economics and Management, Tongji University with a Ph.D. He is a recipient of the International Project Management Association (IPMA) Young Researcher Award and a member of the Project Management 20 Forum and the Management Systems Engineering Branch of the Chinese Society of Management Science and Engineering. He engages in teaching and research in project governance and sustainable development. He is the principal investigator of the general project of the National Social Science Foundation of China, the youth fund project of the National Natural Science Foundation of China, the post-funded project of Philosophy and Social Science Research of the Ministry of Education of China, and the general project of the China Postdoctoral Foundation. He is on the editorial board of Project Management Journal, Journal of Green Building, and Complex Engineering Systems and serves as a special corresponding expert for Frontiers of Engineering Management. His research has been published in International Journal of Project Management, Project Management Journal, International Journal of Managing Projects in Business, Technological Forecasting and Social Change, Frontiers of Engineering Management, Renewable and Sustainable Energy Review, and Sustainable Cities and Society.
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Dr. Xiaodong Li is currently a tenured Professor and the Head at Department of Construction Management, Tsinghua University. His research manly contributes to the domain of sustainable construction management with focuses on carbon emissions for buildings, occupational health management and intelligent decision-making in construction. Dr. Li has been the PIs of 20+ research projects, highlighted by his role as the PIs of five projects funded by the National Natural Science Foundation of China and one project funded by the National Key Research and Development Program of China. Dr. Li has authored more than 130 refereed journal papers and contributed as editor-in-chief, associate editor-in-chief or important participant in 8 standards. He was 2022 and 2023 Elsevier most citied Chinese Researchers. Dr. Li currently plays active roles in serving academic and professional organizations, such as vice president of Beijing Engineering Management Science Institute, vice chair of Engineering Management Committee of China Society of Management Science and Engineering, vice chair of Engineering Management Committee of China Society of Technology Economics, editorial board members on Journal of Systems Management, Project Management Technology and Journal of Engineering Management, and special corresponding expert for Frontiers of Engineering Management.
Frontiers of Engineering Management《Frontiers of Engineering Management》是由中国工程院主管，中国工程院、高等教育出版社、清华大学和华中科技大学联合主办，由高等教育出版社和Springer联合出版的全英文学术季刊。《Frontiers of Engineering Management》致力于促进工程管理理论发展、应用实践及人才培养。为工程管理学科科研与教学工作者、一线实践工作者提供高品质国际交流平台，以研究论文、案例研究综述论文、特别报告等多种形式发布与共享工程管理新知。期刊先后被ESCI、Scopus、CSCD、FMS、AMI等数据库或列表收录。据JCR报告，2023年影响因子9.1。工程管理公益讲坛由中国工程院院刊《Frontiers of Engineering Management》编辑部主办，邀请工程管理领域知名专家、期刊编委、特约通讯专家和作者介绍本领域最新研究成果，以线上会议形式为主、不定期开展的学术交流活动。本讲坛是公益性活动，免费为广大从事工程管理和管理科学与工程学者搭建学术平台，旨在提高《Frontiers of Engineering Management》期刊影响力，促进工程管理领域学者学术交流，推动我国工程管理学科发展。Frontiers of Engineering ManagementTel：+86-27-87540191
E-mail：fem@hust.edu.cn
Huijing HUANG（黄慧靖）
Tel：+86-10-58556289E-mail：huanghj@hep.com.cn https://mc.manuscriptcentral.com/femhttp://journal.hep.com.cn/femhttps://www.springer.com/journal/42524https://www.engineering.org.cn/ch/journal/fem
