[AISWorld] Call for Papers for AMCIS 2016 SIGDSA Mini Track - Analytics and big data to support supply chain, operations, and logistics management

[Sumadhur Shakya]

To: aisworld at lists.aisnet.org

Subject: CFP for AMCIS 2016 SIGDSA Mini Track - Analytics and big data to
support supply chain, operations, and logistics management.



We invite submission of manuscripts in Completed Research Papers and
Emergent Research Forum (ERF) Paper categories to the following mini-track
at AMCIS 2016 to be held in San Diego from August 11 - 13, 2016:

Track: Decision Support and Analytics (SIGDSA)
Mini-Track 7: Analytics and big data to support supply chain, operations,
and logistics management
http://amcis2016.aisnet.org/index.php/sessions/track-list#SIGDSAanchor

*Call for Papers:*

Analytics describe a broad array of data-driven business practices that are
reshaping the way by which firms complete in the marketplace. In global
multi-channel multi-modal complex supply chains systems, decision support
based on analytics is critical for organizations to plan and implement
superior, well-coordinated, flexible, and responsive supply chain to better
meet customer’s expectations and organization goals. Data intensive
decision support systems that incorporate analytics and data visualization
are key to more efficient end-to-end management of in-sync supply chains
and in house or third party logistics (3PL). Spatial optimization of supply
chains maximizes exploitation of price differential across various
geographical locations. Knowledge management in intelligent transport
systems (ITS) is critical to next generation of effective, safer, and
well-coordinated transportation and supply chain network systems for people
and goods. Time sensitive supply chains have the potential to benefit the
most from new innovative developments in data reporting, verification, and
authentication. Research is needed to build theory and inform practice
regarding means through which firms adopt and use analytics and big data to
support supply chain, operations, and logistics management applications.
This minitrack solicits research papers covering a wide range of topics
related to data analytics in the supply chain.

In this mini-track, we solicit high‐quality original research papers
focusing on conceptual theory, methodology, applications, and cases that
address a variety of issues and applications of analytics in supply chain,
operations and logistics management. Some of the potential topics for this
mini-track include (but not limited to):

   - Supply chain of goods/commodities/produce that have price differential
   due to geographic separation, e.g. price differential in commodities.
   - Fluctuations in spatial market boundaries and or changes in structure
   of supply chain systems.
   - Efficient utilization of logistical and transportation resources due
   to improved information of assets visibility/management., e.g. situational
   and conditional awareness of inventory in transit at border/check points.
   - Information system analytics and data capturing in intelligent
   transportation systems, such as:
      - Vehicle to vehicle (V2V) communications for safety related research
      - Data Capture and Management (DCM) of traffic, transit and freight
      related data
      - Road Weather Management (RWM) initiatives by government agencies
      such as the Department of Transportation (DOT) that explore interactions
      using vehicle-based data between weather conditions, travelers and
      transportation agencies (http://www.its.dot.gov/faqs.htm)
      - Potential of technology to influence or overload human interactions
      with transportation, leading to safety risks.
   - Emerging architectures in scalable spatial analytics
   - Combining temporal information with spatial data for geocoded data
   analytics and spatial correlation
   - Security challenges in use of big data in supply chain and logistical
   operations
   - Scalable, interactive data visualization challenges and solutions in
   large scale supply chain networks
   - Growing mobile location-based applications and spatial crowdsourcing,
   for example collection of information about structural deficiencies in
   transportation networks.
   - Cloud-based GIS, structural databases for storage, retrieval and
   analysis of large spatial data
   - Routing efficiencies and role of emerging modes (for example drone
   deliveries) of transportation.
   - Emerging big data sharing and integration across nodes and across
   platforms in logistical network chain.



Submission Timeline:
January 4, 2016: Manuscript submissions for AMCIS 2016 begin
March 2, 2016: AMCIS manuscript submissions closes for authors at 10:00 am
PST

Instructions for authors at AMCIS 2016 site (
http://amcis2016.aisnet.org/index.php/programs/paper-sessions/)

Mini-Track Chairs:

Benjamin Hazen, Air Force Institute of Technology, benjamin.hazen at live.com

Sumadhur Shakya, California State University Monterey Bay, sshakya at csumb.edu

Christopher Boone, Georgia Southern University, caboone at georgiasourthern.edu



-------------------------------------------------------
*Dr. Sumadhur Shakya*
Assistant Professor

Operations Management & Agribusiness


College of Business
California State University Monterey Bay
100 Campus Center, Seaside, CA 93955-8001

W: 831 582 5221

F:831 582 4379

https://www.linkedin.com/in/sumadhurs