讲座时间：5月11日14:00-16:30

讲座地点：管楼G506

讲座主题：组织中基于生成式人工智能的创意生成：以山姆会员店为例的大规模实地研究

讲座嘉宾简介

刘建伟，大连理工大学经济管理学院管理科学与工程系副教授。2024年2月至2025年2月在美国康涅狄格大学商学院访问一年。2019年10月至2022年6月担任哈尔滨工业大学计算机科学与技术学院助理研究员。2019年博士毕业于哈尔滨工业大学经济与管理学院管理科学与工程学科。博士期间曾在美国亚利桑那大学管理信息系统系进行联合培养，香港理工大学酒店与旅游管理学院访学各一年。长期从事大数据管理与决策研究，主要研究方向包括生成式AI的定制化研发与应用、零工经济和在线社区设计等。曾在Production and Operations Management、International Journal of Production Economics、Tourism Management、Annals of Tourism Research等主流学术期刊发表多篇学术论文。主持国家自然科学基金青年项目和教育部人文社会科学基金青年项目各1项。

讲座摘要

Ideations is a critical driver of organizational success, serving as the foundation for innovation, problem-solving, and competitive advantage. The advent of Generative AI (GenAI) is fundamentally transforming organizational ideation processes, particularly in how firms generate and evaluate new ideas. While GenAI has democratized idea generation by providing powerful language models capable of producing diverse and high-quality ideas, the role of managers has evolved from idea generators to idea evaluators. With increasing adoption of GenAI in organization ideation, we examine its impact on the sales performance in organizations with a typical hierarchal structure consisting of headquarter top-level managers and local branch frontline managers. Our research identifies two distinct managerial levels in the idea evaluation process: top-level managers with broad strategic knowledge who ensure alignment with organizational goals, and frontline managers with specialized task-specific knowledge who assess practical feasibility. Our study is instantiated on a product cross-selling ideation task at Sam’s Club warehouse stores in China. The results show a 29.8% increase in sales after GenAI adoption. Interestingly, frontline managers using GenAI ideation significantly outperform top-level managers (54% vs. 16% in sales improvement), and their cross-selling ideas receive higher panel evaluations across most metrics except for innovativeness. This suggests that as GenAI democratizes idea generation at minimal cost, the traditional advantage of broad strategic knowledge becomes less critical while local, operational knowledge becomes increasingly valuable for effective implementation. The findings contribute to our understanding of how AI technologies reshape organizational innovation processes, while providing practical insights for firms adopting GenAI for ideation, suggesting that successful integration requires balancing AI capabilities with appropriate managerial oversight and local operational knowledge.