ICIS+2017+-+Workshop+Agenda


 * LOCATION ANALYTICS and COMPETITIVE ADVANTAGE **
 * of PLACE: THEORY AND PRACTICE **

 Seoul, Korea  Sunday, December 10, 2017, 8:30am – 2:45pm

This workshop focuses on location analytics, competitive advantage of place, and their applications for both the traditional and sharing economy, dealing with relevant theoretical and practical implications. GIS and location analytics enable businesses to make better market planning, location decisions, and supply chain management, and to find and reach target customers by better understanding their traits. By harnessing location advantage, GIS and location analytics can provide businesses with a competitive advantage. This workshop, including the keynote talk by an industry leader in GIS, highlights the emerging area of location analytics and GIS, and how these tools can support the growth and success of businesses. In the afternoon part of the workshop, a common session with SIGDSA will be held for opportunities for collaborative research and pedagogy, and then contributed papers will be presented on a variety of topics related to location analytics informing better decision-making in business and government. Sponsored by AIS’s Special Interest Group in Geographic Information Systems.


 * ORGANIZERS AND PRESENTERS: **

Brian Hilton, Claremont Graduate University James B. Pick, University of Redlands Avijit Sarkar, University of Redlands Hindupur Ramakrishna, University of Redlands Dan Farkas, Pace University Namchul Shin, Pace University
 * INDUSTY KEYNOTE TALK: ** Mr. Hwang, Head of Technical Department, Esri Korea

 WORKSHOP REFEREED PROCEEDINGS TO BE AVAILABLE AT: <span style="color: #1155cc; font-family: Cambria,serif; font-size: 12pt;">www.siggis.wikispaces.com

<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;"> CONTACT FOR WORKSHOP INFORMATION:

<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;"> Daniel Farkas, Pace University, New York, NY, USA <span style="font-family: Cambria,serif; font-size: 12pt;">dfarkas@pace.edu <span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;">; 914-773-3662

<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;"> =============================================================
 * __<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;">Agenda __**

<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;"> 8:30-9:00am --PRE-WORKSHOP COFFEE/TEA

<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;"> 9:00-9:15am <span style="color: #222222; font-family: Cambria,serif; font-size: 16px;">--- <span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;">Introductions, Introduction to Workshop, Acknowledgments

<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;"> 9:15-10:00am-Overview of Location Analytics and Competitive Advantage of Place, and Case Examples

<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;"> 10:00-10:15am--- Coffee/Tea Break

<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;"> 10:15-11:05am ---Industry Keynote Talk: <span style="color: #222222; font-family: Cambria,serif; font-size: 16px;">Mr. <span style="background-color: #ffffff; color: #500050; font-family: arial,sans-serif; font-size: 16px;">Seung-Youn <span class="il" style="background-color: #ffffff; color: #500050; font-family: arial,sans-serif; font-size: 16px;">Hwang <span style="color: #222222; font-family: Cambria,serif; font-size: 16px;">, Head of Technical Department, Esri Korea

<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;">11:05-11:30amBreakout into Discussion Groups: Research Opportunities in Location Analytics and GIS for IS/IT Researchers

<span style="color: #222222; font-family: Cambria,serif; font-size: 16px;">11:30-12:20pm --Contributed Peer-Reviewed Research Paper Session

<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;">12:20-12:30pm --Morning Session Wrap-up

<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;">12:30-1:45pm-Networking Lunch with SIGDSA

<span style="color: #222222; font-family: Cambria,serif; font-size: 12pt;"> 1:45-2:45pm --Common Session with SIGDSA: Big Data and Location Analytics: Synergies and Resources for Teaching and Research