-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] Call for Papers for AMCIS 2016 SIGDSA Mini Track - Analytics and big data to support supply chain, operations, and logistics management Datum: Tue, 2 Feb 2016 11:37:51 -0800 Von: Sumadhur Shakya sshakya@csumb.edu An: aisworld@lists.aisnet.org Kopie (CC): SIGDSA AMCIS 2016 amcis2016sigdsa@gmail.com, Ben Hazen benjamin.hazen@live.com, Sumadhur Shakya sshakya@csumb.edu, Christopher Boone caboone@georgiasouthern.edu

To: aisworld@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@live.com

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

Christopher Boone, Georgia Southern University, caboone@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 _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org