AMCIS 2017, Boston
August 10-12, 2017

SIGGIS Minitrack on
Locational Big Data and Analytics: Implications for the Sharing Economy
The mini-track provides a research forum on varied aspects of GIS for business intelligence, location-based analytics, knowledge management, and spatial data management. In concert with the AMCIS theme of advancing MIS research, contributions related to location for the sharing economy are encouraged, e.g. firms such as Uber, Lyft, and Airbnb depend on enterprise-wide spatial software. Topics include locational aspects of the sharing economy, spatial big data, spatial decision support, spatial knowledge management, cloud-based GIS, spatial crowdsourcing, volunteered geographic information (VGI), spatial workforce development, managerial concerns, privacy, security, ethical aspects concerning the sharing economy, mobile location-based applications, location-based theory, and emerging areas of GIS and location analytics. The mini-track encourages manuscript submissions on theory, methodology, applications, behavioral studies, case studies, and emerging areas with particular encouragement for the sharing economy.
Spatial technologies have been undergoing a major transformation based on new and emerging geospatial technologies including management of the sharing economy, 3-D modeling, LIDAR, unmanned spatial data collection, space-time, and virtual reality of place. The relevance to research is to build up greater knowledge of the geo-spatial aspects of decision-making, management, and sharing economy, and to develop theory and applications, sometimes building on well-known concepts in the Decision Support Systems, Analytics and MIS fields. GIS and spatial technologies are growing rapidly and becoming essential in business and government.
As the organizer of this mini-track, SIGGIS encourages and invites papers on the aforementioned topics addressing important spatial questions in MIS, business, economy, and society. More detailed information is available at
Potential topics (suggestions, but not limited to those listed):
  • Locational analytics and the sharing economy
  • Big Data and location in the sharing economy
  • Spatial decision support
  • Spatial knowledge management
  • Locational Big Data
  • Management decision-making using GIS
  • Spatial data mining and knowledge discovery
  • Web-based GIS concepts and applications
  • Locational analytics and the cloud
  • Locational features of social media
  • Mobile-based GIS concepts
  • Security and privacy of spatial information
  • Geo-Design
  • Societal issues of locational big data in the sharing economy
  • Location and supply chain
  • Theoretical studies
  • Methodological papers
  • Case studies
  • Investment in and benefits of GIS, spatial BI, or spatial analytics
  • Managerial concerns in location and the sharing economy
  • Ethical aspects of analytics and spatial decision-making
  • GIS workforce, training, and education
  • Quality measures and evaluation of spatial systems
  • Systems and software development incorporating place
  • Crowdsourcing and public domain sources of spatial information
  • Emerging areas
Submission information at

Mini-track Co-Chairs:
Daniel Farkas
Pace University

Brian Hilton
Claremont Graduate University

James B. Pick
University of Redlands

Avijit Sarkar
University of Redlands

Hindupur Ramakrishna
University of Redlands

Namchul Shin
Pace University

Mini-track co-chair contacts for information
James B. Pick
School of Business, University of Redlands, Redlands, CA 92373-0999

Dan Farkas
Information Systems Department, Pace University, Pleasantville, NY 10570