报告时间、地点：

报告时间：2026年1月8日，星期四 上午10:00开始

报告地点：华南理工大学 大学城校区，B10中座101

报告摘要：

       Firms without in-house AI capabilities face the critical challenge of orchestrating synergy between outsourced algorithmic precision and application integration to activate the AI flywheel effect. Existing research largely adopts a single-task perspective and overlooks the inherent coupling of these dual tasks. To bridge this gap, we develop a dual-task, multi-stage agency model in which firms strategically manage synergy through dynamic data-collection policies and outcome-contingent contracts that balance AI flywheel acceleration with agent moral hazard across evolving data scales. Unlike insights from single-task models, we show that dual-task synergy fundamentally alters data-deviation patterns. Strong synergy amplifies complementarities between algorithmic precision and application integration, accelerating the AI flywheel. As a result, even when additional data weakens the marginal effectiveness of single-task effort, synergistic amplification shifts the firm’s optimal data scale upward.Furthermore, we find that firms' initial data strategies hinge on their AI level: a high level leads to myopic strategies, an intermediate level requires balancing payoffs with incentive costs, and a low level may induce aggressive data expansion when coordination effects are strong. While expanded data enhances task synergy and offsets future incentive costs, insufficient synergy growth can trigger superlinear incentive burdens, forcing firms to scale back. Interestingly, initial dual-task failures can be leveraged to justify paradoxical data expansion, transforming failures into assets of synergy. Our framework provides actionable guidance for AI development in autonomous driving, medical diagnostics, and financial technology, where aligning algorithmic advancement with real-world integration is essential.

       主讲人简介：

       刘云川，美国伊利诺伊大学香槟分校（UIUC）终身教职副教授，毕业于美国哥伦比亚大学，是市场营销、运营管理、供应链、信息管理、消费金融等方面的专家，在Management Science和Marketing Science等顶尖期刊上发表论文多篇。他在MBA和博士生教学方面非常出色，每年都名列伊利诺伊大学的优秀教师名单，曾被伊利诺伊大学MBA 学生评选为年度教授最终候选人。他现任Decision Soiences 和 Service Sciences 主编、曾任 Marketing Science 编委，多次获得Management Science 和Marketing Science 杰出评审奖，是华人学者营销协会的联合创办人，中国市场营销国际学术年会执行主席。他是伊利诺伊大学香槟分校商学院中国项目主任，正在推动伊利诺伊大学香槟分校和中国若干大学的合作项目。