Ph.D. Hana Kim

• Technology Innovation Managment
• Behavioral Economics
• Platform Economy

Meta-Frontier Analysis

Calculating the efficiency based on the cost function.

Big Data Analysis

Using R and Python to deal with Big Data

OLS and SEM

Using R and Stata

Machine Learning

Using R to analyze the unstructured or structured data

Seoul National University, Ph.D. of Technology management, economics and policy, 2018

    dissertation

I taught a microeconomics class for first year graduate students.
As a research team leader, I taught the behavioral economics as well as guided a few Ph.D students and led Master students to graduate.

Seoul National University, Master of Medical Sceince, 2013

I wrote 2 articles as the first author in SCI journals and participated 3 SCI journal articles.

Handong Global University, Bachelor of Biology and Food sceince, 2010

I organized the English Camp for from the elemantary school students.

Kim, H., Lee, D., & Hwang, J. (2018). The effect of online platform maturity on the efficiency of offline industry. Telematics and Informatics, 35(1), 114-121.

The role of platform as an information mediator has been becoming more vital by satisfying buyers’ needs for a reasonable purchase and sellers’ need for more exposure to buyers within the copious information flood. For the platform service provider, increasing the network externality is important to induce both sides while platforms can cause sellers to invest more and create severe competition among sellers, which take a toll on sellers’ surplus. Therefore, this study investigates whether platforms yield benefits for sellers as the platform matures, securing the network externality. Thus, this study divides the seller side industry into 3 periods based on the level of platform maturation. The efficiency in each period is measured using stochastic frontier analysis and efficiencies of each period are compared using meta-frontier analysis. The results show the overall industry efficiency improves with securing the network externality as the platform matures. However, if the individual firm is resistant to innovation, the firm’s efficiency might not be far behind compared to the firm which led the innovation.

Kim, H., Lee, D. Why do not you play the game while watching the game streaming?

Kim, H., Moon, H. Strategic management of autonomous vehicles: consumer preference and market segmentation

Kim, H., Kim, W. Clusters, open innovation strategies and economic performance

Seoul National University

Researcher • 2018 — Present

Meta-frontier Analysis and Big data analysis on customers preference and industry pattern for a firms' optimal strategy as the innovation diffusion

KAIST

Research Professor • 2018 — present

Analyzing the kick-off point strategy for the country and firms

OECD

Trainee • 2014 — 2014

Mainly focusing on the research related to Public Private Partinership

• Suporting preparation of the report "Puclic-PrivatSupporte Partnerships in Biomedical Research and Health Innovation for Alzheimer's Disease and other Dementia"
• Assist in the preparation of the project proposal under Work Area Two of the next biennium 2015-2016: Enabling and Adopting New Technologies and New Developments in Technology to Address Health Challenges.

• Instructor at
• Volunteers at