Sang Pil Han
-
-
BAC 674 Tempe, AZ 85287-4606
-
Mail code: 4606Campus: Tempe
-
Sang-Pil Han is an Associate Professor of Information Systems in the W. P. Carey School of Business at Arizona State University. His research focuses on artificial intelligence, digital platforms, and business analytics. His research has been published in top-tier academic journals such as Management Science, Management Information Systems Quarterly, Information Systems Research and Journal of Marketing, and featured in Harvard Business Review and BBC News. He has received grants from the Marketing Science Institute and Wharton Interactive Media Initiative, the NET Institute, the Wharton Customer Analytics Initiative, the Korea Research Foundation, the Hong Kong General Research Fund, as well as private companies. At ASU, he was a Co-Faculty Director for the Master of Science in Business Analytics program. He served as an Associate Editor at Information Systems Research. He advises a variety of organizations, including tech startups like Mathpresso, a leading AI-powered education platform, and RoundIn, an online golf learning platform, as well as non-profits like Simple Steps, a 501c3 organization that assists female immigrant talent in achieving their professional goals. In his spare time, he enjoys playing golf with his wife and two daughters.
- Ph.D. Korea Advanced Institute of Science and Technology 2008
- M.S. Korea Advanced Institute of Science and Technology 2002
- B.A. Korea Advanced Institute of Science and Technology 2000
- Artificial Intelligence
- EdTech
- Digital Advertising
- Opinion Manipulation
- ESG and DEI
- “An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet,” with Anindya Ghose, Management Science, 57(9), 2011, 1671-1691.
- “A Social Network-Based Inference Model For Validating Customer Profile Data,” with Wonseok Oh, Sung-Hyuk Park, and Soonyoung Huh. Management Information Systems Quarterly Special Issue on Business Intelligence Research, 36(4), 2012, 1217-1237.
- “How is the Mobile Internet Different? Search Costs and Local Activities,” with Anindya Ghose and Avi Goldfarb. Information Systems Research, 24(3), 2013, 613-631.
- “Estimating Demand for Mobile Apps in the New Economy,” with Anindya Ghose. Management Science Special Issue on Business Analytics, 60(6), 2014, 1470-1488.
- “Mobile App Analytics: A Multiple Discrete-Continuous Choice Framework” with Sungho Park and Wonseok Oh. Management Information Systems Quarterly Special Issue on Transformational Issues of Big Data and Analytics in Networked Business, 40(4), 2016, 983-1008.
- “Excessive Dependence on Mobile Social Apps: A Rational Addiction Perspective” with Wonseok Oh, Hyeokkoo Eric Kwon, Hyunji So. Information Systems Research Special Issue on Ubiquitous IT and Digital Vulnerabilities, 27(4), 2016, 919-939.
- “Battle of the Channels: The Impact of Tablets on Digital Commerce” with Kaiquan Xu, Jason Chan, and Anindya Ghose. Management Science, 63(5), 2017, 1469-1492.
- “When Loyalty Goes Mobile: Effects of Mobile Loyalty Apps on Purchase, Redemption, and Competition,” with Wonseok Oh, Sungho Park, and Yoon Suk Son. Information Systems Research, 31(3), 2020, 835–847.
- “Bypassing Performance Optimizers of Real Time Bidding Systems in Display Ad Valuation," with Ranjit Christopher, Sungho Park, Min-Kyu Kim. Information Systems Research, 33(2), 2022, 399-412.
- “Positive Demand Spillover of Popular App Adoption: Implications for Platform Owners’ Management of Complements,” with Mihyun Lee, Sungho Park, and Wonseok Oh. Forthcoming. Information Systems Research.
- “Fake Thumbs in Play: A Large-Scale Exploration of Opinion Manipulation in User Comments Space in South Korea,” with K. Hazel Kwon, Mihyun Lee, and Sungho Park. Forthcoming. New Media & Society.
- “Learning outside the Classroom during a Pandemic: Evidence from an Artificial Intelligence-Based Education App,” with Ka Young Ko, Seigyoung Auh, Donghyuk Shin, and Yeonjung Lee. Forthcoming. Management Science.
- “The Effect of Mobile Review Reminder Timing on Product Reviews: Evidence from Two Field Experiments,” with Miyeon Jung, Sunghan Ryu, and Daegon Cho. Forthcoming. Journal of Marketing.
- "The Effects of a Platform-Initiated Reviewer Incentive Program on Regular Review Generation," with Jingchun Pu, Young Kwak, Ye Qiang, and Bin Gu. Conditionally Accepted. Information Systems Research.
- “Manufacturing Public Attention: Bot-Assisted Disinformation Operation in Online Platforms” with Sanghak Lee, Donghyuk Shin, K. Hazel Kwon and Seok Kee Lee. Conditionally Accepted. Management Information Systems Quarterly.
- “When Is the Best Time to Ask Customers for a Review?” with Miyeon Jung, Sunghan Ryu, and Daegon Cho. Harvard Business Review, 2023.
- “In-Consumption Information Cues and Online Video Consumption,” with Kyungmin Choi, Jaeung Sim, Daegon Cho. Under revision for 3rd round review.
- "Curbing Excessive Smartphone Use through Flexible Precommitment Apps: A Multiple Discrete-Continuous Extreme Value Approach,” with Hyunji So, Jinpyo Hong, and Wonseok Oh. Under 2nd round review.
- "Can Online Communities Reboot User Engagement in Goal-Oriented Services? Emotional Valence and its Configuration Perspective," with Donghyuk Shin, Kyuhan Lee, Seigyoung Auh, and Ray Lee. Under 1st round review.
- “Graph Representation Learning for Reciprocal Recommendation in Online Matching Platforms: A Social Relations Model Approach,” with Kyuhan Lee, Buomsoo Kim, Sudha Ram, and Donghyuk Shin. Under 1st round review.
- "AI Effectiveness, Task Difficulty, and Employee Income in the Gig Economy: When AI is the Default Service Provider Rather than Humans," with Donghyuk Shin, Ka Young Ko, Seigyoung Auh, and Ray Lee. Under 1st round review.
- "Mobile Learning, Student Performance, and Platform Operations: Evidence from Massive Open Online Courses,” with Sungho Park and Mihyun Lee. Under 1st round review.
- “Achieving the Double Bottom Line with Artificial Intelligence by Addressing Inequity: A Global Comparative Analysis of an Educational Technology Firm,” with Dahae Jeong, Donghyuk Shin, Seigyoung Auh. Working paper available.
- “When Does Congruence Matter for Pre-roll Video Ads? The Effect of Multimodal, Ad-Content Congruence on the Ad Completion,” with Sungho Park, Gene Moo Lee, and Donghyuk Shin. Working paper available.
- "When TV Meets YouTube: The Impact of Releasing TV Show Clips to YouTube on Video Streaming Platforms," with Kyuyeon Jenny Rhee and Sungho Park. Working paper available.
- "When Constraints Improve Engagement in an Online Social Platform: The Operational Impact of a Deterrence Policy," with Dahae Jeong, Sungho Park, Seok Kee Lee. Working paper available.
- “The Gender Gap and Impact on Customer Satisfaction and Financial Outcome: Evidence from Student Evaluations of Tutors,” with Ka Young Ko, Jeongeun Kim, Donghyuk Shin, Seigyoung Auh, and Yeonjung Lee. Abstract available.
- "The Boy Who Cried Wolf: The Long-Term Perils of Rating Manipulation in Product Reviews," with Yang Wang. Working paper available.
- "Demand-Side Market Design in the Electricity Market: The Spatial “Spill In” Effect from Public EV Charging" with Vincent Zhao, Jingbo Hou, Jiyong Eom. Working paper available.
- “The Buyer Made Me Do It: Buyer Supply Chain Sustainability Programs and Supplier Financial Performance,” with Feng Cheng and Kevin Dooley, Working Paper Available.
- "Mining E-Book Reading Patterns: Applications in Segmentation and Recommendation Systems,” with Sungho Park, Wonseok Oh, and Jaeyun Moon. Working Paper Available.
Courses
2023 Spring
Course Number | Course Title |
---|---|
CIS 593 | Applied Project |
CIS 593 | Applied Project |
2022 Fall
Course Number | Course Title |
---|---|
CIS 791 | Seminar |
CIS 375 | Business Data Mining |
2022 Spring
Course Number | Course Title |
---|---|
CIS 375 | Business Data Mining |
2021 Fall
Course Number | Course Title |
---|---|
CIS 375 | Business Data Mining |
CIS 375 | Business Data Mining |
2021 Spring
Course Number | Course Title |
---|---|
CIS 508 | Data Mining I |
2020 Fall
Course Number | Course Title |
---|---|
CIS 508 | Data Mining I |
CIS 508 | Data Mining I |
CIS 508 | Data Mining I |
2020 Spring
Course Number | Course Title |
---|---|
CIS 508 | Data Mining I |
CIS 593 | Applied Project |
CIS 593 | Applied Project |
2019 Fall
Course Number | Course Title |
---|---|
CIS 508 | Data Mining I |
CIS 508 | Data Mining I |
CIS 508 | Data Mining I |
CIS 508 | Data Mining I |
CIS 508 | Data Mining I |
CIS 508 | Data Mining I |
2019 Spring
Course Number | Course Title |
---|---|
CIS 508 | Data Mining I |
CIS 593 | Applied Project |
2018 Fall
Course Number | Course Title |
---|---|
CIS 375 | Business Data Mining |
CIS 375 | Business Data Mining |
CIS 508 | Data Mining I |
2018 Spring
Course Number | Course Title |
---|---|
CIS 791 | Seminar |
Arizona State University: 2015-present. Previous appointments: City University of Hong Kong: 2011-2014
- Economic analysis of misinformation in a digital platform, Naver (a South Korean online platform), 2018-2019.
- Career Advisor, Simple Steps (a 501c3 organization to help female immigrant talent in achieving their professional goals), 2022- Present.