[AISWorld] AMCIS 2017 Mnitrack - Locational Big Data, Analytics and the Sharing Economy

Daniel Farkas dfarkas at pace.edu
Tue Nov 29 13:55:49 EST 2016


AIS Colleagues,


Consider submitting to the SIGGIS Minitrack, Locational Big Data, Analytics
and the Sharing Economy

*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
http://siggis.wikispaces.com/.



*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

DEADLINE FOR SUBMISSION:  March 1, 2017

Submission information at https://amcis2017.aisnet.org/



Mini-track Co-Chairs:

Daniel Farkas

Pace University

dfarkas at pace.edu



Brian Hilton

Claremont Graduate University

brian.hilton at cgu.edu



James B. Pick

University of Redlands

james_pick at redlands.edu



Avijit Sarkar

University of Redlands

avijit_sarkar at redlands.edu



Hindupur Ramakrishna

University of Redlands

hindupur_ramakrishna at redlands.edu



Namchul Shin

Pace University

nshin at pace.edu



*Mini-track co-chair contacts for information*

James B. Pick

E-mail:  james_pick at redlands.edu

School of Business, University of Redlands, Redlands, CA 92373-0999



Dan Farkas

E-mail: djf2128 at gmail.com

Information Systems Department, Pace University, Pleasantville, NY 10570



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