DAIN JUNG Curriculum Vitae, August 29, 2019

CONTACT INFORMATION

College of Business, KAIST Office +82-(0)42-350-6351 Bldg. N22 #4108, 291 Daehakro, Yuseong-gu Mobile +82-(0)10-5755-9602 Daejeon, Republic of Korea, 34141 Email dijung@kaist.ac.kr

EDUCATION

2020 Ph.D. in Business and Technology Management, College of Business, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (expected) Dissertation title: Essays in Health Care Analytics Advisor: Hye-jin Kim and Minki Kim 2012 B.S. in Statistics, Dongguk University, Seoul, Korea

RESEARCHANDTEACHINGINTERESTS

Health Economics; Healthcare Analytics; Pharmaceutical Marketing

RESEARCH

Dissertation Research Essay #1: ‘‘An Empirical Investigation on the Economic Impact of Shared Patient Information among Doctors’’ (joint with Do Won Kwak, Hye-jin Kim and Minki Kim) Abstract: This study investigates how an increase in patient information sharing among doctors impacts healthcare costs. To this end, we explore this impact through two mechanisms—the informative role of patient health conditions and the cross-monitoring role against doctor-driven induced healthcare demands. We utilize a unique policy intervention (a drug utilization review) introduced in 2009 in Korea that enables doctors to share outpatients’ prescription histories. Using difference-in-differences, we found that, when patient information is improved, there is a reduction in pharmaceutical spending. This result is especially true for those patients who have relatively weak information-sharing capabilities. Using data on the amount of antibiotics prescribed for the common cold, we find that a cross-monitoring of prescriptions among doctors reduces the amount of unnecessary prescriptions and thus healthcare spending.

1 Essay #2: ‘‘The Value of Physician’s Future Prescription’’ (joint with Hye-jin Kim and Minki Kim) Abstract: Traditionally, pharmaceutical firms allocate marketing resources according to a ‘decile-based rule’, based on the physician’s total prescription volume in the drug category, there- fore, a physician in a certain decile is valued equally for all firms. However, what if the physician delivers different values to each firm? If that is the case, then firms need to adjust their targeting methods. In this study, we found empirical evidence which supports the possibility that a physi- cian has different values for different firms. We propose to use a brand-specific physician’s future value estimated by two stochastic models, which takes into account physician’s various prescrip- tion history information including frequency, timing and quantity decision. We also control the marketing effect on the physician that is not considered for the traditional decile-based marketing. Using physician-level panel data for erectile dysfunction drug market where the three drugs (Via- gra, Levitra, and Cialis) compete in the category, the estimated physician value distributes differ- ently across brands within each decile group. The result shows that there exists misallocation of detailing, especially for the Levitra. Our study gives an implication to pharmaceutical firms need to target physicians not only based on market potential but also consider brand-specific values.

Refereed Journal Articles “Identifying Key Hospital Service Quality Factors in Online Health Communities”, Journal of Medical Internet Research (2015) (joint with Yuchul Jung, Cinyong Hur, and Minki Kim) (SCIE journal 2018 impact factor of 4.945 (5-yr IF: 6.204)) “Investigating the Congruence of Crowdsourced Information with Official Government Data: The Case of Pediatric Clinics”, Journal of Medical Internet Research (2014) (joint with Minki Kim, Yuchul Jung, and Cinyong Hur) “Network Analysis Approach to Study Hospitals’ Prescription Patterns Focused on the Impact of New Healthcare Policy”, 2014 IEEE International Conference on Systems, Man, and Cybernetics. IEEE (2014) (joint with Wonsung Lee, Gene Yi, Minki Kim, and Il-Chul Moon) “Disease-Medicine Topic Model for Prescription Record Mining”, 2014 IEEE International Conference on Systems, Man, and Cybernetics. IEEE (2014) (joint with Sungrae Park, Doosup Choi, Wonsung Lee, Minki Kim, and Il-Chul Moon)

Work in Progress Are there Causal Spousal Mental Health Spillover? (joint with Do Won Kwak, Kam Ki Tang, and Myra Yazbeck) Effects of β2-adrenoreceptor agonist and Smoking on Parkinson’s Disease Using Korean Health Big Data (joint with Woongwoo Lee, Do Won Kwak, and Minki Kim)

CONFERENCE ACTIVITY AND PARTICIPATION

Paper Presentations 2019 Korea’s Allied Economic Associations Annual Meeting, Seoul, Korea

2 2018 Korea’s Allied Economic Associations Annual Meeting, Gangwon, Korea 2016 Korea’s Allied Economic Associations Annual Meeting, Seoul, Korea 2014 ISMS Marketing Science Conference, Atlanta, USA

TEACHING EXPERIENCE

TA Experience (Graduate Courses) Spring 2015 Advanced Statistics for Management Fall 2014 Marketing Management Spring 2014 Business Strategy

TA Experience (Undergraduate Courses) Fall 2013, Fall 2015, Fall 2016 Marketing Research Spring 2013, Spring 2016 Marketing Fall 2012 Macroeconomics

Other TA Experience Spring 2014 Undergraduate Research Program (URP) for Professor Minki Kim Fall 2016, Spring 2017, Fall 2017 Education 3.0 for Professor Hye-jin Kim

RESEARCHEXPERIENCE

2013 Research Assistant for Prof. Minki Kim For project ‘Smart Patients as the Driver of the Health Care System Revolution via Medicine 2.0’

REFERENCES

Minki Kim Hye-jin Kim College of Business, KAIST College of Business, KAIST SUPEX Hall 304, 85 Hoegiro, Dongdaemun-gu Bldg. N22 #605, 291 Daehak-ro, Yuseong-gu Seoul, Republic of Korea, 02455 Daejeon, Republic of Korea, 34141 +82-(0)2-958-3512 +82-(0)42-350-6316 [email protected] [email protected]

3 Do Won Kwak Graduate School of International Studies, Korea University 145 Anam-ro, Seongbuk-gu Seoul, Republic of Korea, 02841 +82-(0)2-3290-5259 [email protected]

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