发布者：管理科学与工程系 时间：2026-07-13
报告题目：如何做好理论模型研究：选题、建模、投稿与发表
报告人：姜宝军 washington university in st. louis
时间：2026年7月13日16：00-17：00
地点：商学院405室
摘要:
analytical modeling is an important research paradigm in marketing, operations, and related fields. a strong analytical modeling paper is not defined merely by technical complexity; rather, it starts from an important substantive or theoretical question and develops a model that clarifies key mechanisms, trade-offs, and managerial implications. in this talk, i will draw on my own experience in conducting analytical modeling research, advising doctoral students, and participating in the journal review process to discuss the full journey from topic selection and model development to paper writing, submission, revision, and publication. i will highlight how to identify research questions that are suitable for analytical modeling, how to translate real-world phenomena into tractable analytical frameworks, how to articulate theoretical contributions, and how to respond effectively to editors’ and reviewers’ concerns. the talk will also discuss common challenges in analytical modeling papers, such as unclear motivation, mismatch between model assumptions and research questions, insufficiently sharp contributions, weak mechanism explanations, and writing that makes the paper difficult for readers to follow. the goal is to provide practical guidance for doctoral students and junior scholars who seek to develop high-quality analytical modeling research.
报告人简介：
姜宝军教授现任圣路易斯华盛顿大学奥林商学院市场营销学终身正教授，是共享经济、平台战略与运营营销交叉研究领域的国际知名学者。其研究深度融合行为经济学与博弈论，聚焦物联网供应链、p2p共享、消费者公平关切等前沿议题，系统性分析平台商业模式、渠道协调与产品创新策略。成果发表于《marketing science》《management science》《journal of marketing research》《manufacturing & service operations management》等utd24/ft50顶级期刊，曾获美国营销学会don lehmann最佳论文奖、入选msi学者计划，并担任《production and operations management》资深编辑。姜教授拥有卡内基梅隆大学博士及多个理工科学位，擅长以跨学科方法论破解商业实践难题，其研究为数字化环境下的企业竞争与政策设计提供了重要理论支撑。