Wei Chen

Assistant Professor
Department of Management Information Systems
Eller College of Management, University of Arizona

Email: weichen@email.arizona.edu
Phone: (520) 626-8523

Research

Research Interests

  • Platforms & Crowds: Sharing Economy, Open Source Software, User Engagement.
  • FinTech: Crypto Economics, Crowdfunding.
  • Business Analytics: Causal Machine Learning.

My papers are organized below by their status, topic, and method. Please find a chronological list in my CV or Google Scholar.

Publications

Working Papers

  • Quality Differentiation and Matching Efficiency in Peer-to-peer Markets: Evidence from Airbnb Plus (with Hongchang Wang, Benjamin Williams, and Karen Xie) [SSRN]
  • Application Development in Token-funded Ventures: Evidence from Exchange Listing (with Weifeng Li and Karen Xie) [SSRN]
  • Best Paper Award, Blockchain, DLT and FinTech Track, ICIS 2020
  • Home Sharing and Tourist Attractions: Spillover Effects, Mechanisms, and Unintended Consequences (with Karen Xie, Jianwei Liu, and Yong Liu) [SSRN]
  • Signaling Effects under Dynamic Capacity in Online Matching Platforms: Evidence from Online Health Consultation Communities (with Liwei Chen, Arun Rai, and Xitong Guo)
  • Release Timing for Sequential Innovation with Co-Creation: Evidence from Open Source Software (with Xiaofeng Liu, Vish Krishnan and Kevin Zhu) [SSRN]
  • Best Paper Award, CSWIM 2016
  • How Incumbents Beat Disruptors? Evidence from Hotels’ Responses to Home-Sharing Rivals (with Karen Xie, Jianwei Liu, and Yong Liu) [SSRN]
  • Awarded NET Institute Summer Research Grant 2019 Awarded Marketing Science Institute Research Grant 2019
  • When Ads Meet Incentives: Impact on Mobile User Engagement (with Buomsoo Kim and Sudha Ram) [SSRN]
  • Engaging Newly Enrolled Physicians with Introductory Incentives: The Role of Online and Offline References (with Xiaofei Zhang, Bin Gu, and Xitong Guo) [SSRN]
  • Best Paper Award, IT and Healthcare Track, ICIS 2017
  • Recreational Cannabis Legalization and Illicit Drugs: Mortality, Usage, and Darknet Transactions (with Louis Liu and Karen Xie)
  • Be Gentle to the Newbies: Heterogeneous Impacts of Negative Feedback in Online Communities (with Yinchu Zhu, Laura Brandimarte, and Dong Jing)
  • Token Incentives and Platform Competition: A Tale of Two Swaps (with Xiaofeng Liu and Kevin Zhu) [SSRN]
  • Should Digital Platforms Share Data with Governments? Evidence from Airbnb (with Hongchang Wang, Zaiyan Wei, and Karen Xie) [SSRN]

Platforms & Crowds

Platform Economics

Open-Source Software

User Engagement

FinTech

Crypto Economics

Crowdfunding

Econ Methods

Empirical

Structural

Analytical

Econ + Machine Learning (ML)

Causal Machine Learning

ML Variables in Empirical Models

Predictive Models

Teaching

University of Arizona

  • MIS 611C: Economics of Information Systems
    • Fall 2022: 12 PhD students
    • Fall 2020: 4.96/5 (avg. of 32 questions), 9 PhD students
  • MIS 543 Online: Business Data Communications & Networking
    • Fall 2022: 35 MS students (online, Cybersecurity and MIS)
    • Spring 2022: 4.7/5 and 4.8/5 (avg. of 32 questions), 25 MS students (online, Cybersecurity and MIS)
    • Fall 2021: 4.7/5 and 4.8/5 (avg. of 32 questions), 49 MS students (online, Cybersecurity and MIS)
    • Spring 2021: 4.7/5 and 4.8/5 (avg. of 32 questions), 42 MS students (online, Cybersecurity and MIS)
    • Fall 2020: 4.6/5 and 4.8/5 (avg. of 32 questions), 51 MS students (online, Cybersecurity and MIS)
    • Fall 2019: 4.6/5, 39 MS students (online, Cybersecurity)
  • MIS 543: Business Data Communications & Networking
    • Fall 2022: 86 MS students
    • Fall 2021: 4.7/5 (avg. of 12 questions), 62 MS students
    • Fall 2020: 4.9/5 (avg. of 32 questions), 33 MS students
    • Fall 2019: 4.9/5 and 4.7/5 (avg. of 12 questions), 79 MS students
    • Fall 2018: 4.6/5, 42 MS students
    • Fall 2017: 4.6/5 and 4.8/5, 80 MS students
    • Fall 2016: 4.1/5 and 4.0/5, 76 MS students
  • MIS 307: Business Data Communications
    • Fall 2018: 4.4/5 and 4.7/5, 108 UG students
    • Fall 2017: 4.3/5, 53 UG students
    • Fall 2016: 4.4/5, 39 UG students
    • Fall 2015: 4.2/5 and 4.8/5, 86 UG students

UC San Diego

  • MGT 103: Product Marketing and Management (Summer 2013), 4.2/5, 32 UG students