Program Schedule

We have an exciting program lined up for the symposium. Please make note of it as you plan your travels. Room location information for each session will be updated shortly before the symposium.

December 12th, 2018 (Wednesday)

12:00 pm – 1:15 pm
Symposium Registration, Main ICIS Registration Location

Venue: All symposium sessions for December 12th will be held in Yerba Buena Ballroom Salon 12/13

1:15 pm – 1:30 pm
Conference Opening (Conference Co-Chairs)

1:30 pm – 2:45 pm
Workshop: Teradata Vantage: A Platform for Pervasive Data Intelligence
Sri Raghavan, Director, Data Science and Advanced Analytics Product Marketing, Teradata

2:45 pm – 3:00 pm
Coffee Break

3:00 pm – 5:00 pm
Workshop: Teradata Vantage: A Platform for Pervasive Data Intelligence (contd.)
Sri Raghavan, Director, Data Science and Advanced Analytics Product Marketing, Teradata

5:15 pm – 7:00 pm
Welcome Reception
TableTop Tap House (4 min walk): 175 4th Street, San Francisco, CA 94103 

December 13th (Thursday)

7:15 am – 7:45 am
Light Breakfast & Symposium Registration
Location: Yerba Buena Ballroom Salon 12/13

7:45 am – 8:00 am
Opening Comments
Location: Yerba Buena Ballroom Salon 12/13

8:00 am – 9:00 am
Keynote Address: Ashish Singh, Director of Product Management, Teradata
Location: Yerba Buena Ballroom Salon 12/13

9:05 am – 10:05 am
Editorial Panel: Publishing Analytics Research in IS Journals
Dr. James Marsden, EIC, Decision Support Systems
Dr. Olivia Sheng, SE, Information Systems Research
Dr. Sudha Ram, EIC, Journal of Business Analytics
Moderator – Dr. Ramesh Sharda
Location: Yerba Buena Ballroom Salon 12/13

10:05 am – 10:15 am
Coffee Break

10:15 am – 11:30 am
Research Track: Session 1
Completed Research Papers 
Location: Yerba Buena Ballroom Salon 12/13
Session Chair: Nima Kordzadeh

  1. How Social Media Analytics Can Inform Social Content Strategies: Evidence from Healthcare Sector, Nima Kordzadeh (Worcester Polytechnic Institute), Diana Young (Trinity University)
  2. An Empirical Investigation into Understanding the Business Value of  Business Analytics, Suryanarayanan Krishnamoorthi (Indian Institute of Technology Madras), Saji Mathew K (Indian Institute of Technology Madras)
  3. Systematic Review of the Roots of Business Analytics and Business Intelligence Systems: Learning from the past – looking into the future, Gloria Phillips-Wren (Loyola University Maryland), Mary  Daly (University College Cork), Frada Burstein (Monash University), Frederic Adam (University College Cork)
  4. Evaluation of “Connectedness” in Multi-Organizational Decision Making: A Design Science Research Case, Alexis Amaye (University College Cork), Karen  Neville (University College Cork), Andrew Pope (University College Cork)
  5. Design of Shopper Segmentation Systems in Retail. Evidence from 2 Heterogeneous Retail Cases, Anastasia Griva (Athens University of Economics and Business), Cleopatra Bardaki (Athens University of Economics and Business), Katerina Pramatari (Athens University of Economics and Business), George Doukidis (Athens University of Economics and Business)

10:15 am – 11:30 am
Research Track: Session 2
Research-in-Progress Papers & Teaching Track Paper
Location: Yerba Buena Ballroom Salon 14/15
Session Chair: Maryam Ghasemaghaei

Research-in-Progress Papers

  1. Improving Time-Critical, Real-Time, Knowledge-Based Clinical Decision Support Systems Through Usage Data Analytics, Andrei Florescu (Monash University), Frada Burstein (Monash University), Mark Fitzgerald (Monash University)
  2. Clash of Stances: Catalyzing Data Innovation Through Data Labs in Established Firms, Florian Pethig (University of Mannheim)
  3. Big Data Analytics Assimilation: The Role of Institutional Pressures, Mohsen Javdan (McMaster University), Maryam Ghasemaghaei (McMaster University)
  4. Breaching Together: A Data Science Approach on Firms’ Correlated Risk in Information Security, Rahul Dwivedi (Texas A&M University – Central Texas), Sridhar Neru (University of Texas at Arlington), Jingguo Wang (University of Texas at Arlington)
  5. Decision Support Systems Research: Most Cited Articles and Books, Daniel Power (University of Northern Iowa), Lakshmi Iyer (Appalachian State University)
  6. Predicting Overcharge in Common Healthcare Procedure with High Payment Variation, Sagnika Sen (Pennsylvania State University), Amit V. Deokar (University of Massachusetts Lowell)
  7. Data Analytics with Personal Cloud:  Cloud and Edge Data Replication using Ensemble Methods, Cipson Chiriyankandath (Dakota State University)
  8. Convolutional Neural Networks to Mitigate Transit Crowd Impacts, Jay Claiborne (Auburn University), James Locke (Auburn University)
  9. Neural Network Fraud Detection Dilemma: The Curious Role of Activation Functions, James Locke (Auburn University), Jay Claiborne (Auburn University)
  10. Studies on Visual Analytics in the Information Systems Literature: A Review, Yuan Li (University of Illinois at Springfield)
  11. Why Should I Share my Knowledge? Examining the Effect of Knowledge Sharing in Organizations, Prasad Rudramuniyaiah (University of Central Missouri), Shekar Rathor (University of Central Missouri), Someswar Kesh (University of Central Missouri), Silvana Faja (University of Central Missouri)
  12. Analyzing Movement Patterns in a Smart City, Stephen Dawe (Auburn University), Ashish Gupta (Auburn University)

Teaching Track Paper

  1. Effects of the Captain System and the Class Tutor System in Business Data Visualization Class and Computer-hands-on Classes, Dongmin Kim (University of New Brunswick)

11:30 am – 1:00 pm
Lunch
Amber India Restaurant (4 min walk): 25 Yerba Buena Ln, San Francisco, CA 94103

1:00 pm – 1:55 pm
Keynote Address: Dr. Andy Mutz, Global Head of Technology & Data Architecture, SAP Leonardo & Analytics
Location: Yerba Buena Ballroom Salon 12/13

2:00 pm – 3:00 pm
Industry Panel: How Decision Analytics are Used to Create Fruitful Connections in Acceptable New Ways
Dr. Aristotle Socrates, Director of Data Science, Juvo
Hemant Gosain, Executive Chairman, Omniquo
Ashish Singh, Director of Product Management, Teradata
Prakhar Mehrotra, Sr. Director of Machine Learning, Walmart Labs
Kala Ramaswamy, Head of Finance Systems & Business Intelligence, Airbnb
Moderator: Dr. Barbara Wixom, MIT Center for Information Systems Research
Location: Yerba Buena Ballroom Salon 12/13

Panel abstract: According to Stratistics MRC, the Business Analytics Market is estimated to reach $71.1 billion by 2022. The emergence of new digital opportunities — in the form of exciting, emergent connections among people, data and things — is fueling this growth. These new opportunities, however, introduce questions for academics to answer and concerns for academics to explore. This panel will discuss decision analytics trends, challenges and opportunities to help guide academics as they work to help companies connect using decision analytics in fruitful, acceptable ways.

3:00 pm – 3:15 pm
Coffee Break

3:15 pm – 4:15 pm
Research Track: Session 3
Completed Research Papers 
Location: Yerba Buena Ballroom Salon 14/15
Session Chair: Markus Weinmann

  1. Cross-Disciplinary Collaboration for Designing Data-Driven Products and Services, Christoph Kollwitz (Technische Universität Chemnitz), Maximilian Perez Mengual (Fraunhofer IIS – Center for Applied Research on Supply Chain Services SCS), Barbara Dinter (Technische Universität Chemnitz)
  2. An N-gram-based Approach for Detecting Social Media Spambots, Tianyu Wang (Pace University), Li-Chiou Chen (Pace University), Yegin Genc (Pace University)
  3. Dynamic Aggregation of Consumer Ratings with Bayesian Non-Parametrics, Christof Naumzik (ETH Zurich), Stefan Feuerriegel (ETH Zurich), Markus Weinmann (University of Liechtenstein)
  4. Diabetes Patients at Risk of Developing Kidney Disease: Application of Classification Algorithms, Amir  Talaei-Khoei  (University of Nevada Reno), Tala  Talaei Khoei (Kent State University), James  Wilson (University of Nevada Reno), Luvai Motiwalla (University of Massachusetts Lowell)

3:15 pm – 4:00 pm
Teaching Track Papers
Location: Yerba Buena Ballroom Salon 12/13
Session Chair: Vic Matta

  1. Plagiarism Prevention in Excel Assignments, Raymond Frost (Ohio University) Vic Matta (Ohio University) Lauren Kenyo (Ohio University)
  2. Developing a Data Analytics Mindset, Gloria Phillips-Wren (Loyola University Maryland), Babita Gupta (California State University Monterey Bay), Thilini Ariyachandra (Xavier University)

4:00 pm – 5:00 pm
Prototypes and E-Poster Session
Location: Yerba Buena Ballroom Salon 12/13
Session Chair: Raj Sharman

Prototypes

  1. EDGE: A Simulation Game to Change How We Teach and Learn Analytics, Pierre-Majorique Léger (HEC Montréal), Jean-François Plante (HEC Montréal), Jean-François Michon (HEC Montréal), Forough Karimi-Alaghehband (HEC Montréal), Michael Bliemel (University of Ontario Institute of Technology), Marc Fredette (HEC Montréal)
  2. Human Resources Analytics Dashboard for Healthcare Volunteer Retention, Tingting Chung (Chatham University), Louis Luangkesorn (University of Pittsburgh), Anh Nguyen (Chatham University)
  3. A Perception Augmentation System for Autonomous Vehicles, Christian Kauten (Auburn University), Ashish Gupta (Auburn University), Xiao Qin (Auburn University), Han Li (University of New Mexico), David Bevly (Auburn University), Alison Jenkins (Auburn University)
  4. Story Analyzer – an Application using CoreNLP and D3 Visualizations, Michel Mitri (James Madison University)
  5. Multi-Sided Platform for Sexually Transmitted Diseases, Pavankumar Mulgund (University at Buffalo), Raj Sharman (University at Buffalo), Barsha Pandey (University at Buffalo), Fareen J. Magdun (University at Buffalo)

E-Posters for Research-in-Progress Papers

  1. Improving Time-Critical, Real-Time, Knowledge-Based Clinical Decision Support Systems Through Usage Data Analytics, Andrei Florescu (Monash University), Frada Burstein (Monash University), Mark Fitzgerald (Monash University)
  2. Clash of Stances: Catalyzing Data Innovation Through Data Labs in Established Firms, Florian Pethig (University of Mannheim)
  3. Big Data Analytics Assimilation: The Role of Institutional Pressures, Mohsen Javdan (McMaster University), Maryam Ghasemaghaei (McMaster University)
  4. Breaching Together: A Data Science Approach on Firms’ Correlated Risk in Information Security, Rahul Dwivedi (Texas A&M University – Central Texas), Sridhar Neru (University of Texas at Arlington), Jingguo Wang (University of Texas at Arlington)
  5. Decision Support Systems Research: Most Cited Articles and Books, Daniel Power (University of Northern Iowa), Lakshmi Iyer (Appalachian State University)
  6. Predicting Overcharge in Common Healthcare Procedure with High Payment Variation, Sagnika Sen (Pennsylvania State University), Amit V. Deokar (University of Massachusetts Lowell)
  7. Data Analytics with Personal Cloud:  Cloud and Edge Data Replication using Ensemble Methods, Cipson Chiriyankandath (Dakota State University)
  8. Convolutional Neural Networks to Mitigate Transit Crowd Impacts, Jay Claiborne (Auburn University), James Locke (Auburn University)
  9. Neural Network Fraud Detection Dilemma: The Curious Role of Activation Functions, James Locke (Auburn University), Jay Claiborne (Auburn University)
  10. Studies on Visual Analytics in the Information Systems Literature: A Review, Yuan Li (University of Illinois at Springfield)
  11. Why Should I Share my Knowledge? Examining the Effect of Knowledge Sharing in Organizations, Prasad Rudramuniyaiah (University of Central Missouri), Shekar Rathor (University of Central Missouri), Someswar Kesh (University of Central Missouri), Silvana Faja (University of Central Missouri)
  12. Analyzing Movement Patterns in a Smart City, Stephen Dawe (Auburn University), Ashish Gupta (Auburn University)

5:00 pm – 5:30 pm
Closing Comments & SIGDSA Meeting
Location: Yerba Buena Ballroom Salon 12/13