兪在元 Jaewon Yoo

Assistant Professor

jaewon.yoo@iss.nthu.edu.tw

office number:(03) 5162543

Office:台積館TSMC Building R828B

  • 數位數據驅動行銷Digital / Data-Driven Marketing

  • 經濟與社會創新影響Economic and Societal Impacts of Innovation

  • 技術平台Technological Platforms (social, crowd-based, sharing economy)

  • 場域及准實驗Field and Quasi Experiments



Brief Bio

現職 Employment

清華大學服務科學研究所助理教授

Assistant Professor, Institute of Service Science, National Tsing Hua University, Taiwan


學歷 Education

  • PhD, Business and Technology Management, Korea Advanced Institute of Science and Technology (KAIST)

  • Master of Management Science, Korea Advanced Institute of Science and Technology (KAIST)

  • B.Ed., Economics, University of Arizona


經歷Work Experience

  • Senior Consultant, Samsung SDS

  • Visiting Postdoctoral Fellow, Faculty of Business, New York University (NYU) Shanghai

  • Research/Teaching Assistant, KAIST College of Business


研究興趣 Research Interests

  • Digital / Data-Driven Marketing

  • Economic and Societal Impacts of Innovation

  • Technological Platforms (social, crowd-based, sharing economy)

  • Field and Quasi Experiments

Selected Publications

代表性論文

  • Yoo, Jaewon, Hyunsik Park, and Wonjoon Kim. "Compromise Effect and Consideration Set Size in Consumer Decision-Making." Applied Economics Letters 25, no. 8 (2018): 513-517

  • Kang, Minjeong, Jaewon Yoo, Wonjoon Kim, and Namil Kim. “The Effect of Alliance Activity on Patent Litigation.” Journal of Korea Technology Innovation Society 21, no. 1 (2018): 265-299

  • Yoo, Jaewon, and Wonjoon Kim. “To What Extent does Social Effect has Influence on Choice Overload?” Proceedings of the 2013 International Symposium on Education, Psychology, Society, and Tourism. Seoul, Republic of Korea. June 27 - 29, 2013.


Academic Service

學術經歷

  • Committee board member & student advisor for the CTM-International Bachelor of Business Administration (BBA) Program

  • Reviewer for Summer/Winter AMA Academic Conferences '22, '21, '20

  • Reviewer for Academy of Management (AOM) Annual Conferences '18, '17, '16, '14




Teaching

教學成就

  • [ISS5066] Programming for Business Analytics: Learn the fundamentals of R programming and exploratory data analysis to be able to pinpoint interesting (model-free) patterns from data. The emphasis is set on familiarizing students to work proficiently with the statistical tool and preparing students to “wrestle” with real-world data in a quest to extract business insights.



Awards and Grants

獲獎事蹟

  • Oct. 2020: 3R CSES Research Competition Best Paper Award

  • Jul. 2020: 2R CSES Research Competition Best Paper Award

  • Apr. 2020: 1R Center for Social Value Enhancement Studies (CSES) Research Competition Best Paper Award

  • Dec. 2019: Recipient of the Grand Prize, Doctoral Colloquium, 2019 DMAC Conference (Integrated Conference of Korea Distribution Association, Korea Marketing Association, Korea Advertising Society, Korea Society for Consumer Studies)

  • Nov. 2015: Outstanding Research Award, Global Ph.D. Fellowship, NRF Korea

  • Mar. 2014: Recipient of the Global Ph.D. Fellowship Grant, National Research Foundation (NRF) Korea