Program Schedule


December 16-18, 2018, Santa Clara, CA, USA


Click HERE for a PDF version of the program schedule.
Click HERE for a PDF version of the program brochure, which includes the program schedule.
Click HERE to Access PDF Copies of Papers.

Sunday, December 16

12:30 pmRegistration starts at Hyatt Place San Jose

12:30 – 3:30 pm

2:30 – 5:30 pm

Wine Tasting at Savannah–Chanelle Vineyards Location: 23600 Big Basin Way, Saratoga, CA 95070 (RSVP Mandatory)

Group 1: Pick up from Hyatt Place San Jose at 12:30 pm, return to Hyatt at 3:30 pm

Group 2: Pick up from Hyatt Place San Jose at 2:30 pm, return to Hyatt at 5:30 pm

5:30 – 8:00 pmReception and Registration at Hyatt Place San Jose

Monday, December 17

Shuttle from Hyatt to SCU (7:00 am, 7:40 am, 8:20 am, 9 am, 9:40 am, 10:40 am, 11:40 am)
Shuttle from SCU to Hyatt (7:20 am, 8:00 am, 8:40 am, 9:20 am, 10:10 am, 11:10 am)
8:00 – 8:30 amContinental Breakfast & Registration                                                    Lucas Hall 2ndFloor
8:30 – 8:40 am

8:40 – 9:30 am

Welcome Remarks and Logistics                                                              Lucas Hall BofA Commons

Industry Keynote Speech by Dr. Phil Mui, Senior VP of Salesforce

9:30 – 9:45 amCoffee Break                                                                                                    Lucas Hall 2ndFloor
9:45 – 11:00 amSession 1A: Industry Presentations                                                     206 Lucas Hall

Session Chair: Jingjing Li, University of Virginia

Discovering Domain Specific Dialog Acts: A Quantitative and Unsupervised Method
Sabina Tomkins, University of California, Santa Cruz, Anbang Xu, Haibin Liu, Zhe Liu, Yufan Guo, Vibha Sinha, Rama Akkiraju, IBM Almaden Research Center

I Know You’ll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application
Carl Yang, University of Illinois, Urbana Champaign, Xiaolin Shi, Jie Luo, Snap Inc, Jiawei Han, University of Illinois, Urbana Champaign

Lessons We Learning from Applying Machine Learning to Adversarial Environment
Xiang Sheng, Facebook

Session 1B: Healthcare I                                                                     207 Lucas Hall

Session ChairMichael V. Mannino, University of Colorado Denver

Extended Similarity Measures to Predict Trauma Patient Mortality
Joel Fredrickson, Michael Mannino, Omar Alqahtani, Farnoush Banaei-Kashani University of Colorado Denver

Multiple Disease Prediction: A Multi-label Learning Approach Using Deep Generative Learning and BiomedicalKnowledge
Lin Qiu, Vaibhav Rajan, Bernard C. Y. Tan, National University of Singapore

A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation (Best Paper Nominee)
Kaung Khin, Philipp Burckhardt, Rema Padman, Carnegie Mellon University

Session 1C: Data Mining                                                                     209 Lucas Hall

Session Chair: Ken Peffers, University of Nevada Las Vegas

A Bivariate Dynamic Latent Difference Score Model for Longitudinal Data Analysis
Youyou Tao, Loyola Marymount University, Katherine Masyn, Georgia State University, Abhay Nath Mishra, Iowa State University, Jeong-Ha Oh, Mark Keil, Georgia State University

Don’t Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation
Maggie Yundi Li, Stanley Kok, National University of Singapore, Liling Tan, Rakuten Institute of Technology

On the Self-Consistency of K-Nearest Neighbors Technique
Gediminas Adomavicius, University of Minnesota, Jingjing Zhang, Indiana University, Meizi Zhou, University of Minnesota

11:00–11:15 pmCoffee Break
11:15–12:30 pmSession 2A: Industry Presentations                                                     206 Lucas Hall

Session Chair: Jingjing Li, University of Virginia

Towards Real-time 3D Reconstruction using Consumer UAVs
Qiaosong Wang, eBay Inc.; 

Probabilistic Autocomplete Suggestion Ranking with Localization and Personalization in Geosearch
Xugang Ye, Zijie Qi, Dropbox

Visual Product Recognition – Bing Ads VPR API to Monetize Product Images
Jia He, Tim Wang, Hao Wang, Sravya Popuri, Keng-hao Chang, Bruce Zhang, Microsoft

Session 2B: Review and Recommendation                                          207 Lucas Hall

Session ChairHarry Wang, University of Delaware

How Does Online Review Manipulation Influence Sales? Evidence from the Hotel Industry
Cheng Nie, Iowa State University, Zhiqiang (Eric) Zheng, Sumit Sarkar, University of Texas at Dallas

How Would you Rate it? Anchoring Effects and User Personality Traits in Recommender Systems
Konstantin Bauman, Temple University, Tamilla Triantoro, Quinnipiac University

Blockchain-Enabled Data Sharing Recommender Systems
Xiaoying Xu, South China University of Technology, Kaushik Dutta, University of South Florida, Chunmian Ge, South China University of Technology

Session 2C: Advertisement                                                                  209 Lucas Hall

Session ChairHaiyang Feng, Tianjin University

“To Be or Not to Be” Designing L-Shape Advertising for Mobile Movie Streaming Service
Taekyung Kim, University of Suwon, Jihae Suh, Jaehwan Lee, Jinsoo Park, Byungjoon Yoo, Seoul National University

The Effectiveness of Mobile Short-Message-Service Based Peak-Time Rebate Program for Household Electricity Demand Respons
Gloria JinaKim, KAIST, Dongsik Jang, Korea Electric Power Research Institute, Jiyong Eom, KAIST

Budget-Constrained Ad Selection in Large-Scale Advertising Systems
emant K. Bhargava, UC Davis, , Ramnik Arora, Stanford University

12:30– 2:00 pmLunch and Keynote Speech by Dr. Arun Rai, Georgia State University:
Avoiding Type III Errors: Overcoming Competency Traps, Seizing New Opportunities
2:00 – 3:15 pmSession 3A: WITS Feeder Workshop (Smart Data Pricing)                206 Lucas Hall

Session Chair: Soumya Sen, University of Minnesota

Turbulence in Media and Entertainment: Chaos or a New Order?
H. Bhargava, UC Davis

Duopoly Competition in Advertising-Sponsored Wi-Fi Provision
Joshua Eberhardt, Bharath Sreenivas, Illinois Mathematics and Science Academy, Moksh Shah, Northwestern University

Using Neural Detection for Truthful Crowdsourced Content Evaluation
C. Huang, The Chinese University of Hong Kong, H. Yu, Northwestern University, J. Huang, The Chinese University of Hong Kong, R. Berry, Northwestern University

Sponsored Data: Smarter Data Pricing with Incomplete Information
X. Mei, The Hong Kong Polytechnic University, L. Qiu, University of Florida


Session 3B: Health Care II                                                                  207 Lucas Hall

Session ChairKang Zhao, University of Iowa

Using Deep Learning to Improve Healthcare Quality and Efficiency (Best Dissertation proposal Nominee)
Weiguang Wang, University of Maryland

Drug-Drug Interaction Mining and Interaction Terms Extraction using Deep Learning: A Word-level Attention Bi-Directional LSTM
Zhengchao Yang, Sudha Ram, Faiz Currim, University of Arizona

Social Support and User Churn Prediction for Online Health Communities — A Trajectory-based Deep Learning Method
Xiangyu Wang, University of Iowa, Apoorva Joshi, FireEye, Inc., Xun Zhou, Kang Zhao, University of Iowa


Session 3C: Dissertation Proposals                                                     209 Lucas Hall

Session ChairYuheng Hu, University of Illinois at Chicago

Health Information Exchanges: Impact on Healthcare Costs, Referral Networks, and Induced-Utility in Referral Processes (Best Dissertation proposal Nominee)
Saeede Eftekhari, University at Buffalo

Predicting Labor Market Competition and Employee Mobility — A Machine Learning Approach (Best Dissertation proposal Nominee)
Yuanyang Liu, University of Iowa

Essays on Operational Problems in Digital Economy (Best Dissertation proposal Nominee)
Rakesh Mallipeddi, Texas A&M, College Station

3:15 pmPick up from Santa Clara University to Commodore Cruise at 2394-A Mariner Square Drive, Alameda, CA, 94501
5:45 pmCruise Boarding
6:00 – 9:00 pmCommodore Cruise Tour of San Francisco Bay
9:15 pmPick up from Commodore Cruise back to Hyatt Place San Jose


Tuesday, December 18

Shuttle from Hyatt to SCU (7:00 am, 7:40 am, 8:20 am, 9 am, 9:40 am, 10:40 am, 11:40 am)
Shuttle from SCU to Hyatt (7:20 am, 8:00 am, 8:40 am, 9:20 am, 10:10 am, 11:10 am)
8:00–8:15 amRegistration and Networking with Coffee and Tea at Santa Clara University
8:15–9:30 amSession 4A: Data Science Applications                                                206 Lucas Hall

Session Chair: Balaji Padmanabhan, University of South Florida

Characterizing Social TV Activity Around Televised Events: A Joint Topic Model Approach (Best Paper Nominee)
Yuheng Hu, University of Illinois at Chicago

Mining Reputation Effects in Citations of Scientific Publications
Moez Farokhnia, He Zhang, Balaji Padmanabhan, University of South Florida

Waiting to be Found: Using Data Science to Discover TV Programs for Public Service Announcements
Arash Barfar, University of Nevada, Balaji Padmanabhan, University of South Florida


Session 4B: Predictive Analytics                                                         207 Lucas Hall

Session ChairAbhay Nath Mishra, Iowa State University

The misty crystal ball: Efficient concealing of privacy-sensitive attributes in predictive analytics
Nicolas Banholzer, Stefan Feuerriegel, ETH Zurich

Do Better Predictions Lead to Better Decisions? Insights from Predictive Policing
Oliver Dlugosch, University of Freiburg, Tobias Brandt, Erasmus University Rotterdam, Dirk Neumann, University of Freiburg

Patient Health Status Prediction: A Multi-State Markov Model
Youyou Tao, Loyola Marymount University, Abhay Nath Mishra, Iowa State University, Yichen Cheng, Georgia State University


Session 4C: Social Media & Reviews                                                   209 Lucas Hall

Session ChairXianjun Geng, Tulane University

Topic-based Intervention on Social Media Network Search
Clinton Daniel, Donald Berndt, University of South Florida

How do Social Ties Influence User-Generated Content: A Dynamic Perspective
Yue Jin, Tsinghua University, Yong Tan, University of Washington, Jinghua Huang, Tsinghua University

How Online Reviews Interact with A Firm’s Free Version Strategy
Huanhuan Cao, Zhejiang University of Technology, Jinhu Jiang, Xi’an Jiaotong University, Xianjun Geng, Tulane University

Online Reputational Loss Aversion: Empirical evidence from StackOverflow
Ramesh Shankar, University of Connecticut

9:30 – 9:45 amCoffee Break
9:45 – 11:00 amSession 5A: Crowd Platforms                                                             206 Lucas Hall

Session Chair: Junming Yin, University of Arizona

Matching Donors to Projects on Philanthropic Crowdfunding Platforms
Yicheng Song, University of Minnesota, Zhuoxin Li, Nachiketa Sahoo, Boston University

Investigating the Fee-Delay Relationship in Cryptocurrency Transactions: Evidence from the Bitcoin Network
Noyan Ilk, Guangzhi Shang, Florida State University, Shaokun Fan, Oregon State University

Towards Better Learning from Crowd Labeling: A Variational Inference Approach (Best Paper Nominee)
Jerry Luo, Xuan Wei, Daniel Dajun Zeng, Junming Yin, University of Arizona


Session 5B: Two-Sided Platform                                                         207 Lucas Hall

Session Chair: Pallab Sanyal, George Mason University

Meet an Emergency?  An Empirical Analysis on Productivity of Taxi and Ridesharing Platforms
Yingjie Zhang, UT Dallas, Beibei Li, Zhen (Sean) Qian, CMU

Technology Restriction and Demand Shifts in Transportation Dynamics: An Empirical Study
Kyungsun (Melissa) Rhee, University of Washington, Jinyang Zheng, Purdue University, Yuowei Wang, Fudan University, Yong Tan, University of Washington

Time Preference based Cloud Resource Management
Anik Mukherjee, Sundarraj P Rangaraja, IndianInstitute of Technology


Session 5C: Language Processing                                                       209 Lucas Hall

Session Chair: Jingjing Li, University of Virginia

A Deep Learning Architecture for Psychometric Natural Language Processing
Jingjing Li, Ahmed Abbasi, Faizan Ahmad, University of Virginia, Hsinchun Chen, University of Arizona

Aspect Extraction from Online Consumer Reviews with WordNet-Guided Continuous-Space Language Models (Best Paper Nominee)
Jie Tao, Fairfield University, Lina Zhou, The University of North Carolina at Charlotte, Conor Feeney, Fairfield University

Predicting Complainers on Social Media: A Machine Learning Approach; Yuheng Hu, Ali Tafti, David Gal, University of Illinois at Chicago

11:00 –11:15 amCoffee Break
11:15–12:30 pmPoster Slam Session                                                                              105 Lucas Hall

Session Chair: Hong Guo, University of Notre Dame

12:30 – 2:00 pmLunch and WITS Awards
2:00 – 3:15 pmSession 6A: Data Mining                                                                     206 Lucas Hall

Session Chair: Carson Woo, University of British Columbia

Data Challenges in the Digitization Era
Veda C. Storey, Georgia State University, Carson C. Woo, University of British Columbia

Optimal Classification Performance Metric for Constructing Variables for Further Regression Analysis
Mengke Qiao, Ke-Wei Huang, National University of Singapore

Role of Reference Points in the Goal-directed Website: A Randomized Field Experiment
Qinglai He, Victor Benjamin, Yili Hong, Raghu Santanam, Arizona State University


Session 6B: Digital Economy                                                               207 Lucas Hall

Session Chair: Wolfgang Ketter, Erasmus University Rotterdam

The Impact of Price Perception in the Dynamics of Competition in an On-Demand Economy Environment: A Differential Games Approach
Samayita Guha, Temple University, Emre Demirezen, University of Florida, Subodha Kumar, Temple University

Data Acquisition Accounting for Customer Heterogeneity
Xiaoping Liu, Northeastern UniversityXiao-bai Li, University of Massachusetts Lowell

Towards Efficient Energy Management: Transforming Energy Business with IT
Dmitry Zhdanov, Georgia State University

FleetPower: Creating Virtual Power Plants in Sustainable Smart Electricity Markets
Micha Kahlen, Erasmus University , Alok Gupta, University of Minnesota, Wolfgang Ketter, Erasmus University

Session 6C: Online Communities                                                         209 Lucas Hall

Session Chair: Benjamin Shao, Arizona State University

Bursty Coordination in Online Communities
Lei (Nico) Zheng, Feng Mai, Stevens Institute of Technology, Deborah M. Gordan, Stanford University, Jeffrey V. Nickerson, Stevens Institute of Technology

Auction Parameters and Bidder Entry: Evidence from Online Outsourcing Platforms
Yili (Kevin) Hong, Benjamin Shao, Pei-yu Chen, Chen Liang, Arizona State University, 

Online Privacy and Information Disclosure by Consumers
Shota Ichihashi, Bank of Canada

3:15 – 4:00 pmCoffee Break / Academic Demo/Prototype
4:00 – 4:45 pmWITS General Body Meeting
4:45 –  6:15 pmShuttle from Santa Clara University to Hyatt Hotel (pick up times: 4:45 pm, 5:30 pm, 6:15 pm)
6:45 pm

7:00 – 9:00 pm

Pick up from Hyatt Hotel to Maggiano’s Little Italy at Santana Row

Dinner at Maggiano’s Little Italy at Santana Row (RSVP Mandatory)

Poster Session Papers

Optimal Release Strategy for the Competing Software Vendors in the Presence of Word-Of-Mouth Effect

Yu Wang (College of Management and Economics, Tianjin University, Tianjin P. R. China) , Minqiang Li (College of Management and Economics, Tianjin University, Tianjin P. R. China), Haiyang Feng, Nan Feng (College of Management and Economics, Tianjin University, Tianjin P. R. China)

Digitally Nudged: How Websites Influence Donation Behavior

Markus Weinmann (University of Liechtenstein), Christoph Schneider (City University of Hong Kong), Nadine Székely (University of Liechtenstein), Jan vom Brocke (University of Liechtenstein)

A Machine Learning Approach to Identify Fake News and Clickbait Websites

R. Gopal (Indian Institute of Management, India.), H. Hidaji (University of Calgary, Canada.), S. N. Kutlu (University of Connecticut, USA.), R. A. Patterson (University of Calgary, Canada.)

Topic Modeling in Twitter: An Attribute Lattice-Based Approach

Mojtaba Asgari (Memorial University of Newfoundland, St. John’s, NL,), Jeffrey Parsons (Memorial University of Newfoundland, St. John’s, NL,)

Competition in Online Consumer Ratings: An Equilibrium Analysis

Mingwen Yang (University of Texas at Dallas, Richardson, TX), Eric Zheng (University of Texas at Dallas, Richardson, TX), Vijay Mookerjee, (University of Texas at Dallas, Richardson, TX)

Impact of Collection Structures and Type of Data on Quality Of User-Generated Content

Mahed Maddah (Florida International University), Roman Lukyanenko (HEC Montréal), Debra VanderMeer (Florida International University)

Managing Externalities of Internet Security with Scoring Rules

Xiaofan Li, Andrew Whinston

Creation of Homophilous Networks Using Simulated Annealing

Lev Muchnik (Jerusalem School of Business Administration, The Hebrew University of Jerusalem), Arie Jacobi (Ono Academic College, Kiryat Ono, Israel), Dylan Walker (Questrom School of Business, Boston University)

A Classification Artifact to Support Mental Health Surveillance: A Comparison of Feature and Classifier Ensembles

Yang Gu (University of Arizona, Tucson, Arizona), Gondy Leroy (University of Arizona, Tucson, Arizona), Mihai Surdeanu (University of Arizona, Tucson, Arizona), Sydney Pettygrove (University of Arizona, Tucson, Arizona)

If You Can’t Measure it, You Can’t Manage it

Arion Cheong (Rutgers Business School), Soohyun Cho (Rutgers Business School), Won Gyun No (Rutgers Business School), Miklos A. Vasarhelyi (Rutgers Business School)

Persistence of Consumer Preference Biases in Recommender Systems

Gedaminas Adomavicius (University of Minnesota), Jesse Bockstedt (Emory University), Shawn Curley (University of Minnesota), Jingjing Zhang (Indiana University)

From Head to Long Tail: Flexible Recommendation using Cosine Patterns

Yaqiong Wang (Carlson School of Management, University of Minnesota), Junjie Wu (School of Economics and Management, Beihang University), Zhiang Wu (Jiangsu Provincial Key Laboratory of E-Business, Nanjing University of Finance and Economic), Gediminas Adomavicius (Carlson School of Management, University of Minnesota)

Telematics Sensor Data Analytics for Sustainable Business: Transportation and Backhaul Collaboration

Sudip Bhattacharjee (School of Business, University of Connecticut), Robert Day (School of Business, University of Connecticut), Mohsen Emadikhiav (School of Business, University of Connecticut)

I Know Where You Are: A Deep Learning Approach to Predict Location for Personalized Mobile Targeting

Da Xu (David Eccles School of Business, University of Utah), Xiao Fang (Lerner College of Business and Economics, University of Delaware), Paul Jen-Hwa Hu (David Eccles School of Business, University of Utah)

Utility Maximization in Physicians’ Referral Networks: Model and Methodology

Saeede Eftekhari (State University of New York at Buffalo), Niam Yaraghi (University of Connecticut), Ram Gopal (University of Connecticut), Ram Ramesh (State University of New York at Buffalo)

The Price of Being Polite

Yi Wang (Rochester Institute of Technology)



SCNetworkViz: A Web-Based System for Interactive Visualization of Supply Chain Network

Yihong Liu (Shanghai University of Finance and Economics), Hui Fang (Shanghai University of Finance and Economics), Yao Bao (Shanghai Jiao Tong University)

Addressing the Cybersecurity Talent Gap through a Serious Games Approach with Young Adults

Laura Amo (SUNY at Buffalo), Joana Gaia (SUNY at Buffalo), Savit Aluri(SUNY at Buffalo), Jonathan Higgins(SUNY at Buffalo),  David Murray(SUNY at Buffalo), Kevin Cleary (SUNY at Buffalo), Shambhu Upadhyaya (SUNY at Buffalo)

A Serious Game for Data Warehouse Maturity Concepts

Michael Mannino (University of Colorado Denver), Mohammed Khojah (King Abdul-Aziz University)

Demo: An Online Evidence-based Text Simplification Editor for Medical Text

David Kauchak (Pomona College), Gondy Leroy (University of Arizona), Melissa Grueter (Pomona College)

Context-Adaptable Trigger: A New IS Paradigm and Challenge

Ji Taek Lim (Pohang University of Science and Technology), Hokyeom Kim (Pohang University of Science and Technology), Injun Choi (Pohang University of Science and Technology)

Finding a Collaborative Outsourced Team: A Search System Over Social Coding Websites

Ahmad Jowhar (Ted Rogers School of Management, Ryerson University), Morteza Zihayat(Ted Rogers School of Management, Ryerson University)

PUSH: A blockchain-based application for provider facilitated patient-to-patient sharing of medical records and clinical pathways for collaborative decision support

Lina Bouayad (Florida International University), Hemant Jain (Rollins College of Business, The University of Tennessee at Chattanooga), Monica Tremblay (College of William and Mary), Carmelo Gaudioso (Roswell Park Comprehensive Cancer Center)

Dynamic cybersecurity risk score measurement for US public firms

Arion Cheong(Rutgers, The State University of New Jersey), Soohyun Cho (Rutgers, The State University of New Jersey), Won Gyun No (Rutgers, The State University of New Jersey), Miklos Vasarhelyi (Rutgers, The State University of New Jersey)


Conference Photos
Photo Album #1
Photo Album #2