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Faculty Directory

Hyeunjung (Elina) Hwang
Office: 485
Phone: 206-221-6931

Foster School of Business
University of Washington
Box: 353226
Seattle, WA 98195-3226

Hyeunjung (Elina) Hwang

Assistant Professor of Information Systems


PhD Carnegie Mellon University
MBA University of California, Los Angeles
MS Yonsei University
BA Sogang University

Academic Expertise

data mining
economics of information systems
social network analytics

Current Research

Open innovation
Online social networks
Organizational learning

Positions Held

University of Washington, 2015
Formerly worked for Samsung Securities, 2e Consulting, and IT Research & Evaluation

Selected Publications

  1. Learning to be Creative: A Mutually Exciting Spatial Point Process Model for Idea Generation in Open Innovation
    Journal Article:Vipul Aggarwal, Elina Hwang, Yong Tan, (forthcoming). Information Systems Research,
  2. Online Knowledge Communities: Breaking or Sustaining Knowledge Silos?
    Journal Article:Hwang, E. & Krackhardt, D., (2020). Production and Operations Management, Vol. 29(1), pp. 138-155.
  3. Jack of All, Master of Some: Information Network and Innovation in Crowdsourcing Communities
    Journal Article:Elina Hwang, Param Vir Singh, Linda Argote, (2019). Information Systems Research, Vol. 30(2), pp. 389-410.
  4. Knowledge Sharing in Online Communities: Learning to Cross Geographic and Hierarchical Boundaries
    Journal Article:Hwang, E., Vir Singh, P., Argote, L., (2015). Organization Science, Vol. 26(6), pp. 1593–1611.
  5. Organizational Learning
    Book:Argote, L., Hwang, E., (2014). David Teece and Mie Augier (Eds.), The Palgrave Encyclopedia of Strategic Management, Palgrave MacMillan

Working Papers

– “Delivering Healthcare through Telemedicine Consultations: Does Distance Still Matter?,” Elina Hwang, Xitong Guo, Yong Tan, Yuanyuan Dang. Available at SSRN: https://ssrn.com/abstract=2988340
– “The Value of Online-Offline Return Partnership to Offline Retailers,” Elina Hwang, Leela Nageswaran, Soo-Haeng Cho. Available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3594993
– “Offline Returns for Online Retailers via Partnership,” Leela Nageswaran, Elina Hwang, Soo-Haeng Cho. Available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3635026
– “Impact of COVID-19 on Omnichannel Retail: Drivers of Online Sales during Pandemic,” Elina Hwang, Leela Nageswaran, Soo-Haeng Cho. Available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3657827
– “Social Hiring: How LinkedIn Connection Help You Land a Job,” Melissa Rhee, Elina Hwang, Yong Tan. Available at SSRN: https://ssrn.com/abstract=3261180

Honors and Awards

- International Conference on Information Systems (ICIS) - Winner for ICIS Best Paper Award (2018)
- Korean Association of Information Systems (KrAIS) - Winner for KrAIS Best Paper Award (2018)
- Conference on Health IT and Analytics (CHITA) - Runner-up for CHITA Best Conference Paper Award (2017)
- Faculty Mentor Award, Foster School of Business, University of Washington, 2018
- Best Reviewer Award, KrAIS, 2017
- Herbert A. Simon Doctoral Dissertation Award in Behavioral Research in the Administrative Sciences. Carnegie Mellon University, 2015
- Tepper School of Business Doctoral Fellowship, Carnegie Mellon University, 2009-2015
- Dean Sponsored Scholarship, Tepper School of Business, Carnegie Mellon University, 2010-2011
- 1st place at K-Swiss Marketing Case Competition, 2008

Academic Service

- Reviewer, Management Science
- Reviewer, Information Systems Research
- Reviewer, MISQ
- Program Committee Member, Conference of Information Systems and Technology, 2015~2018
- Associate Editor, International Conference on Information Systems, 2016~2018

Courses Taught

- MSIS 521: Information Technology and Marketing in the New Economy
(Covered topics: Digital Economy, Social Media Analytics using R)
- IS 300: Introduction to Information Systems
(Covered topics: Introduction to machine learning and R bootcamp)
- IS 445: Database Management
(Covered topics: Data modeling and data mining using MySQL)
- IS 582: Doctoral Seminar on Network Analysis
(Covered topics: Theory and empirical models for network analysis)