师资资源

宋婷婷

  • 系 别:信息、技术与创新系
  • 办公电话:+86 (0)21 62933657
  • 职 称:副教授
  • 电子邮箱:songtt@sjtu.edu.cn
教师简介
  • 工作经历

    副教授,安泰经济与管理学院,上海交通大学,2021年8月至今

    助理教授,安泰经济与管理学院,上海交通大学,2017年8月-2021年7月


    教育背景

    博士,经济管理学院,清华大学,2017年

    学士,工商管理学院,四川大学,2011年


    研究经历

    研究助理,新加坡管理大学,2014年-2016年


    荣誉获奖

    中国信息经济学优秀成果奖,中国信息经济学会, 2019年

    优秀博士学位论文,管理科学与工程学会,2020年

    Best Paper, CSWIM,  2021

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科学研究
  • 研究兴趣

    1. 社会化媒体,社会网络和用户产生内容

    2.  在线平台和AI商务分析


    期刊论文

    1. Tingting Song, Qian Tang, Jinghua Huang. (2019). Triadic Closure, Homophily, and Reciprocation: An Empirical Investigation of Social Ties between Content Providers. Information Systems Research, 30(3): 912-926.


    2. Tingting Song, Jinghua Huang, Yong Tan, Yifan Yu. (2019). Using User- and Marketer-Generated Content for Box-Office Revenue Prediction: Differences between Micro-Blogging and Third-Party Platforms. Information Systems Research, 30(1): 191-203.


    3. Yangfan Li, Jinghua Huang, Tingting Song. (2019). Examining Business Value of Customer Relationship Management Systems: IT Usage and Two-stage Model Perspectives. Information & Management, 56(3): 392-402.


    4. Tingting Song, Cheng Yi, Jinghua Huang. (2017). Whose Recommendations Do You Follow? An Investigation of Tie Strength, Shopping Stage, and Deal Scarcity. Information & Management, 54(8):1072-1083.


    部分会议论文

    1. Tian Lu, Tingting Song, Xianghua Lu. Can Online-Merge-Offline Technology Create Incremental Revenues in Offline Retail? The 14th China Summer Workshop on Information Management (CSWIM), Chongqing, China, 2021.06.26-06.28.


    2. MingyueZhang, Jesse Bockstedt, Tingting Song. Let’s go to the movies!Subscription Services and Box Office Revenue. The 30th Workshop on Information Systems and Economics (WISE), Munich, Germany, 2019.12.19-12.20.


    3. Qian Tang, Tingting Song, Liangfei Qiu, Ashish Agarwal. Online Content Consumption: Social Endorsements, Observational Learning and Word-of-Mouth.The 40th International Conference on Information Systems (ICIS), Munich, Germany, 2019.12.15-12.18;  and The 16th Symposium on Statistical Challenges in eCommerce Research (SCECR), 2020.6.18-6.20.


    4. Tingting Song. Is Reciprocity Always Beneficial? An Empirical Analysis of Reciprocal Behaviors and Content Contribution.The 39th International Conference on Information Systems (ICIS), San Francisco, USA, 2018.12.13-12.16.


    5. Tingting Song, Qian Tang. A Hidden Markov Model of Content Contribution and Provider Learning. The 14th Symposium on Statistical Challenges in eCommerce Research (SCECR), Rotterdam, The Netherlands, 2018.6.18-6.19.


    主持项目

    国家自然科学基金青年项目:社会化媒体平台用户生成内容的机制与应用研究,项目负责人,2020.01-2022.12


    学术服务

    匿名评审:  Information Systems Research, MIS Quarterly, Production and Operations Management 

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主讲课程
  • 《商务统计》(本科生)

    《学术写作》(硕博&MBA)

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