Kanghyun (Simon) Cho

Academic Job Market Candidate | 2025–2026

Position Sought: Tenure-Track Assistant Professor in Management Information Systems
Research Areas: Human–AI Collaboration, Algorithmic Decision-Making, Digital Health, Fintech, Technostress

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Research Overview

My research explores how artificial intelligence (AI) reshapes expert decision-making in high-stakes environments such as healthcare and financial markets. I examine when AI augments human judgment and when it creates new vulnerabilities. Using field and lab experiments, econometric analysis, and design science, I offer theoretical and practical insights into responsible AI adoption in professional domains.

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Dissertation

Title: The Role of Algorithmic Automation and Augmentation in Expert Decision-Making

• Committee: Jaehwuen Jung (Co-chair), Jason Thatcher (Co-chair), Detmar Straub, Sezgin Ayabakan

• Proposal Defense: August 2025 (Scheduled)

• Ph.D. Expected: May 2026

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Select Research Projects

• Trading Bots as Stabilizers: Unraveling Their Impact on Human Traders in Cryptocurrency Markets
  (with Jason Thatcher, Jaehwuen Jung, Kihwan Nam)
  Status: Preparing for resubmission to MIS Quarterly

• Decoding Coding Advice: Evaluating Out-of-the-Box Solutions from Generative AI
  (with Ziyi Zhao, Aleksi Aaltonen, Detmar Straub)
  Status: 2nd Round Revise & Resubmit at MIS Quarterly

• The Devil’s Advocate: When AI Challenges Human Expertise
  (with Kihwan Nam, Jin-Woo Park)
  Status: Under review at Information Systems Research

• Enabling Entrepreneurship in Immersive Digital Spaces
  (with Solon Moreira, Munir Mandviwalla)
  Status: Revise & Resubmit at Journal of the Association for Information Systems

• From Data to Design: The Synergistic Role of AI and Human Expertise in Fashion Curation
  (with Kihwan Nam, Subodha Kumar)
  Status: Finalizing for submission to Information Systems Research

• MARL-Mental: Toward Scalable, Explainable, and Adaptive AI for Mental Health Diagnostics
  (with Salih Tutun, Kazim Topuz, Ali Tosyali, Anol Bhattacherjee)
  Status: Finalizing for submission to INFORMS Journal on Computing

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Teaching Experience and Interests

• Instructor of Record, Scripting for Data Science and Analytics (Python)

  • Fall 2024 | Course Evaluation: 4.93 / 5.00

• Teaching Interests: Management Information Systems, Database Systems, Systems Analysis and Design, AI & Decision-Making, FinTech Analytics, Healthcare IT

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Awards and Recognition

• Best Reviewer, ICIS 2024 (Track: Data Analytics for Business and Societal Challenges)

• 1st Place, Fox Ph.D. Research Competition, Temple University

• Doctoral Consortium Fellow, Academy of Management CTO Division (2024, 2025)

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Professional Background

Before academia, I served as a research scientist in the South Korean government, contributing to public health policy, scientific evaluation, and disaster response. These experiences shaped my interest in expert judgment under uncertainty and responsible technology integration.

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Conference Engagements

I have presented at INFORMS, ICIS, CIST, WISE, AOM, and SCECR.

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Availability: I will be attending CIST, INFORMS, and ICIS and welcome the opportunity to meet with search committees.