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Hyun Woo, Jung

Email: hyunwoo.jung@yonsei.ac.kr

🏫 Education

  • M.S. in Quantitative Marketing (advisor Prof.Jeonghye Choi)
    • Yonsei University, South Korea
  • B.B.A. in Business Administration
  • B.S. in Industrial Engineering (dual degree)
  • Minor in Applied Statistics
    • Yonsei University, South Korea

🔎 Research Interest

  • Topics: Digital Marketing, Public Policy, Health Care
  • Methodologies: Econometrics, Image Analysis, Machine Learning, Bayesian Estimation

📝 Publication

Recent Order
  • Jung, Hyunwoo and Jeonghye Choi (2023), "Does Proximity Really Matters? Unveiling the Role of Industrial Similarity with Ensemble Machine Learning," Journal of Marketing Management Research, 28 (4), 1-25

  • Jung, Hyunwoo, YiLing Li, and Jeonghye Choi (2022), "The Effect of Lockdown Repeal: Bayesian Multilevel Difference-in-Differences Approach," Asia Marketing Journal, 24 (2), 109-120

    • 2023 Merit Academic Paper Award
  • Jung, Hyunwoo, Youshin Kwak, and Jeonghye Choi (2022), "How Digital Wallet Adoption Affects Adopters' Shopping App Usage: Evidence from KakaoPay and KakaoCommerce," Korean Operations Research and Management Science, 47 (3), 33-48

  • Jung, Hyunwoo, Hyungjun Yoon, Seeeun Lee, Solhee Park, and Soyoung Sohn (2021), "Quality Indicator Based Recommendation System of the National Assembly Members for Political Sponsors," Korean Society for Quality Management, 49 (1), 17-29

📝 Working Paper

Exact titles are disguised to preserve the double-blind review process

  • "Paper Analyzing Disposable Cup Deposit Policy" under review
  • "Paper Analyzing Mobile Casual Games Series Extension" under review
  • "Premium that Sells" with Jeonghye Choi
  • "Spatiotemporal Analysis of Location-based App Diffusion: Evidence from Delivery Apps" with Jeonghye Choi and Wookyung Kim
  • "Product Image and the Premium" with Jeonghye Choi and Inseo Hwang

🏆 Awards & Scholarships

Awards

  • 4th prize (with $500) in the '2023 Korea Management Association (KMAC) Business Innovation Contest', KMAC, 2023
  • 3rd prize in '2023 Merit Academic Paper Award', Yonsei University, 2023
  • 2nd prize (with $5,000) in the '2022 Korea Management Association (KMAC) Business Innovation Contest', KMAC, 2022
  • Yonsei Univserity Dean's list, Honered student prize, 2021
  • 1st prize (with $500) in the 'National Assembly Legislative Activities Bigdata Contest', Dacon, 2021
  • 1st prize (with $5,000) in the '1st Samsung Card Bigdata Analysis Contest' (Algorithm Development), Samsung Card, 2020
  • Yonsei Univserity Dean's list, Honered student prize, 2020
  • 3rd prize (with $1,000) in 'Yonsei Bigdata Contest', Yonsei University, 2019

Scholarships

  • Research Fellowship, Academic Research Support Fellowship, 2022 ~ 2022
  • Research Fellowship (with stipend), SSK (Social Science Korea), 2022 ~
  • Research Fellowship (with stipend), BK (Brain Korea) 21 plus, 2022 ~
  • Social Innovation Scholarship, Institute for Higher Education Innovation, 2020

🎤 Conference Presentations

"Bayesian Spatiotemporal Analysis of Location-based App Diffusion: Evidence from Delivery Apps"

  • Korea Distribution Association Spring Conference in Seoul, Korea (2024)

"Halo or Cannibalization? New Mobile Game Adoption and its Impact on Incumbent Apps"

  • Korea Management Engineers Society Fall Conference in Seoul, Korea (2022)

📚 Courses

  • Courses that I took related to data analysis

Graduate

Business Statistics Economics
Quantitative Marketing Seminar Advanced Bayesian Methods Econometrics 1
Digital Marketing Seminar Deep Learning for Visual Recognition Applied Microeconometrics Analysis
Marketing Proseminar on Consumer Behavior Generalized Mixed Models for Data Science Microeconomics 1
Spatio-Temporal Data Analysis Industrial Organization
Quantum Data Science
Nonparametric Function Estimation

Undergraduate

Business Industrial Engineering Statistics
Business Analytics AI Startup Calculus
Marketing Research Data Analysis Linear Algebra
Marketing Strategy Model Optimization in AI Statistical Method
Digital Marketing Strategy and Application Quality Engineering R&Python Programming
Deterministic Models in OR Introduction to Statistics
Industrial Data Management Bayesian Statistics
Intelligent Information System Mathematical Statistics (1)
Data Mining Theory&Application Mathematical Statistics (2)

💻 Programming Proficiency

🥇 Most Proficient
🥈 Proficient

Programming Languages

  • Python, Javascript, Typescript (ES6+) 🥇
  • SQL (MySQL, PostegreSQL) 🥇
  • STATA 🥇
  • R 🥇

Frameworks / Technologies

  • AWS (EC2, RDS, S3, DynamoDB)🥇
  • Express (Node.js) 🥇
  • MongoDB 🥈
  • HTML, CSS 🥈

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