W. P. Carey School of Business
W. P. Carey School of Business

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Sang Pil Han

Assistant Professor
Information Systems

Department
Contact
Office:BA 301D
Mailing Address:
Main Campus
PO BOX 874606
Tempe, AZ 85287-4606

Phone: 480-965-8603
Fax: 480-727-0881
Email: Sangpil.Han@asu.edu
Sang Pil Han

View Vita

Education

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

Research Areas

Economic and Societal Impact of Mobile Technologies (including topics such as mobile apps, mobile commerce, mobile advertising, mobile education, mobile addiction, mobile divide)

Academic Positions Held
Arizona State University: 2015-present. Previous appointments: City University of Hong Kong: 2011-2014

 

Representative Publications (Published or accepted papers)

“Battle of the Channels: The Impact of Tablets on Digital Commerce” with Kaiquan Xu, Jason Chan, and Anindya Ghose. Forthcoming at Management Science.

“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.

“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.

“Estimating Demand for Mobile Apps in the New Economy,” with Anindya Ghose. Management Science Special Issue on Business Analytics, 60(6), 2014, 1470-1488.

“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.

“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.

“An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet,” with Anindya Ghose, Management Science, 57(9), 2011, 1671-1691.

 

Working Papers and Work-in-Progress

“The Digitalization of Loyalty: Capitalizing on Mobile Loyalty Programs to Encourage Offline Purchase,” with Wonseok Oh, Sungho Park, and Yoon Suk Son. Working Paper Available.

"Towards Improved Mobile App Engagement: Popular App Adoption as a Stimulus," with Mihyun Lee, Sungho Park, and Wonseok Oh. Working Paper Available.

“The Economics of All-You-Can-Read E-Book Pricing: An Empirical Analysis,” with Wonseok Oh, Jaeyun Moon, and Jinpyo Hong. Working Paper Available.

"Mobile Temptation and Self-Control through Precommitment Apps,” with Wonseok Oh, Hyunji So, and Jinpyo Hong. Working Paper Available.

“Mining E-Book Reading Patterns: Applications in Segmentation and Recommendation Systems,” with Sungho Park, Wonseok Oh, and Jaeyun Moon. Data analysis in progress.

"Does Mobile Improve Learning? An Empirical Analysis of Student Engagement and Academic Achievement in Massive Open Online Courses,” with Sungho Park, Sunghoon Kim, and Mihyun Lee. Data analysis in progress.

"What Happens When Reviewer Start to Get Free Products? The Impact of Being Expert on Review Generation," with Jingchuan Pu, Young Kwark, and Bin Gu. Data analysis in progress.

"Solving an Ad Waste Dilemma in Programmatic Online Display Advertising: Results from a Large-Scale Randomized Field Experiment," with Bradley Fay, Ranjit Christopher, and Sungho Park. Manuscript writing in progress.


ASU is a tier 1 research university and W. P. Carey is proud of its strong tradition of teaching and classroom excellence. Our students directly benefit from the research and theories our faculty brings into the classroom. Below is a list of courses being taught during the current semester by this faculty member. Click a course to view it in the ASU course catalog.

CIS 375 - Business Data Mining
Building predictive analytics (e.g., SEMMA, KDD); exposure to logistic regression, machine learning and decision tree methods; Understanding lift factors, ROC curves; hands-on use of mining software; business case studies.

W. P. Carey School of Business

400 E. Lemon St.
Tempe, AZ 85287