Yi Chen (Edward)

Yi Chen (Edward)

Ph.D. in Information Systems

Hello! Welcome to My Homepage!

I am Dr. Yi Chen, an Assistant Professor at the School of Business and Management in Shanghai International Studies University (SISU).

My research sits at the dynamic intersection of Information Systems (IS), Organizational Behavior, and Data Science. I am driven by a passion to understand the intricate—and often counter-intuitive—ways that online interactions, digital platforms, social networks, and emerging technologies redefine individual behavior and corporate strategy.

Key Research Areas

My work is unified by a central, critical question: How do we navigate the complex human and economic paradoxes created by digital platforms and novel technologies? Specifically, I’m interested in the following research areas:

  • Online Interactions and Communities
  • Online Labor Markets and Gig Platforms
  • Social Networks and Social Media
  • Generative AI (GenAI) and Emerging Technology Impact
  • Information Systems (IS) Strategy and Digital Organizational Behaviors

Selected publications

  • Chen, Y., Boh, W. F., & Mo, J. (2024). “Different types of online social exchanges: Effects on online sellers’ sales performance.” Information & Management. 61(6):104003
  • Chen, Y., Boh, W. F., Wong, S.-S., & Shao, J. (2023). “Too Much of a Good Thing: Downsides of a Large Social Network and Moderating Effects of Political Skill.” Management and Organization Review. 19(2):316-347
  • Ma, B., Song, Y., Chen, Y.,, & Zhang, J. (2022). “The Impact of Social Responsibility Reports’ Aesthetics on Corporate Debt Cost.” Chinese Journal of Management. 19(12):1855-1862+1873 (in Chinese)
  • Ni, Y., Chen, Y., Ke, H., & Ralescu, D. A. (2018). “Models and algorithms for the orienteering problem in a fuzzy environment.” International Journal of Fuzzy Systems. 20(3):861-876.
  • Ma, B., Zhou, L., Chen, Y.,, Mu, Y., & Zhang, J. “Impact of CEO Perceived Dominance on Corporate Financial Performance: An Empirical Study Based on Facial Feature Extraction by Deep Learning.” Financial Innovation. forthcoming.
  • Wu, X., Chen, Y., & Zhang, N. (2023). “The Impact of Politeness in Bidding Descriptions on Hiring Decisions in Online Labor Markets.” PACIS 2023 Proceedings. 74.
  • Chen, Y. (2019). “Impact of Heterogeneous Prior Contribution on Reciprocity in Online Sellers’ Community.” ICIS 2019 Proceedings. 27.

Working papers & work-in-progress projects

  • The Empowerment Effect of Jury-based Content Moderation: Impact on User Stickiness on Social Media Platforms. (3rd round review)
  • Is Recommending Always a Blessing? The Impact of Recommendation Lists on Ratings in Online Review Platforms. (2nd round review)
  • Cognitive Processing of Nonverbal Cues in Earnings Conference Calls: The Impact of CEO Vocal Emotion on Stock Market Reactions. (Revise & Resubmit)
  • Heterogeneous Impacts of GenAI on Designers’ Creative Exploration: Evidence from Online Gig Platforms.
  • Two Heads Better Than One? Uncovering the Effectiveness of Online Content Creator Collaboration.
  • Are Friends of Friends Better Collaborators? How Third-Party Ties Affect Online Influencer Collaboration.
  • Empowering Users in Digital Crowding: Dual Impact of Dense Danmaku on User Engagement and Mitigating Effect of Display Control.
  • Too Polite to be Professional? Contingent Impact of Politeness on Hiring Decisions in Online Labor Markets.
  • From Outrage to Silence: How Uncivil Comments Promote and Inhibit User Engagement.
  • Standardisation vs Customisation: How Online Freelancers’ Bidding Strategy Affects Hiring Outcomes.

Teaching Interest

My teaching philosophy emphasizes bridging rigorous theory with practical application, focusing on developing both analytical skills (e.g., quantitative research methods & programming language), managerial insights, and critical thinking. I instruct students in core Information Systems and Data Science topics, frequently integrating real-world case studies and hands-on software training to prepare them for the modern intelligent workplace.

Undergraduate-level teaching experience

  • Information Resource Management
  • Big Data Analytics
  • Java Programming
  • Business Programming (R Language)
  • An Introduction to Information Technology

Postgraduate-level teaching experience

  • Programming and Data Analysis
  • Survey Research Methods