[AISWorld] Last Call for Papers-AMCIS2016 Track: Intelligence and Intelligent Systems (SIGODIS)

[Vijayan Sugumaran]

Call for Papers

22nd Americas Conference on Information Systems (AMCIS'16)

http://amcis2016.aisnet.org/

August 11-13, 2016, San Diego

 

Track: Intelligence and Intelligent Systems (SIGODIS)

 

The track chairs of the Intelligence and Intelligent Systems Track invite
authors to submit their work to one of the following mini-tracks that are
part of this track. High quality papers from this track will be fast tracked
for publication in the International Journal of Intelligent Information
Technologies (IJIIT). More information about the journal can be found at
http://www.igi-global.com/ijiit.

 

Submission Deadline:  March 2, 2016

 

Please submit your paper before March 2, 2016 at 10:00 AM PST (no
extensions) via ScholarOne’s Manuscript Central at
https://mc.manuscriptcentral.com/amcis2016. 

 

Mini-track: Application of Intelligent Agent and Multi-Agent Systems

Vijayan Sugumaran, Oakland University, sugumara at oakland.edu
<mailto:sugumara at oakland.edu>  

Stefan Kirn, Universität Hohenheim, stefan.kirn at uni-hohenheim.de
<mailto:stefan.kirn at uni-hohenheim.de>  

While research on various aspects of multi-agent systems and semantic
technologies is progressing at a fast pace, there are still a number of
issues that have to be explored in terms of the design and implementation of
agent based systems. The purpose of this mini-track is to provide a forum
for academics and practitioners to identify and explore the issues and
opportunities in using agent technologies for the design, implementation,
and deployment of intelligent systems. This mini-track is intended to
increase cross-fertilization of ideas from various domains, and share the
lessons learned. It is expected to serve as the spring-board for gathering
and disseminating experiences gained in implementing and integrating agent
based systems. Best papers from this mini-track will be fast tracked for
publication in a special issue of International Journal of Intelligent
Information Technologies (IJIIT).

Potential Topics:

Examples of research that fit this call include but are not limited to: 

*         Application of intelligent agent and multi-agent systems in
different domains

*         Distributed Intelligent Systems

*         Agent communication, collaboration, and coordination

*         Agents and web data mining

*         Multi-agent technology and grid computing

*         Architectures, environments and languages for e-commerce agents

*         Automated shopping and trading agents

*         Agent-based auction, negotiation and decision making

*         Agent building tools and environments

*         Agent driven interoperability and distributed decision support

*         Software agents and knowledge management

*         Agent-based Business Analytics

*         Business Intelligence and multi-agent systems

*         Intelligent technologies for big data analytics;

 

Mini-track: Web and Social Intelligence

Jai Ganesh, Mphasis NEXT Labs, Jai.Ganesh at mphasis.com
<mailto:Jai.Ganesh at mphasis.com>  

Enterprises are increasingly exploring Social Media Strategies to identify
and engage their end customers and build competitive differentiation.
Content generated in social networking environments would include discussion
threads, logs of chat room conversations, contents of blogs, and any other
content posted by users. The accumulated content and ideas within successful
social networking environments thus becomes an aggregation of the collective
intelligence of the user community participating in those sites. The
accumulated content can be considered as an asset that has value, which can
be tapped through the right types of analyses. This asset has potential
value to both owners of the sites as well as the organizations whose
products and services being discussed It presents significant implications
for enterprises wanting to leverage social networks to draw insights and
inferences on user participation and preferences expressed in networks.
Multiple inference options exist for understanding the behavior of online
social networks. One area of analysis is that of focusing on the content
purely, to try to discover concepts, facts or opinions from the content
posted by users. A second type of analysis is to focus on the users
themselves to discover networks (or sub-groups) in the community and to
learn how those sub-groups get formed or change. 

Potential Topics:

Topics covered by the mini-track include but are not limited to:

*         Social Networks (Twitter, Linkedin, Youtube, Discussion Forums)

*         Social Recommender Systems

*         Internal & External Social Media Strategies of enterprises

*         Message propagation  in Social Networks

*         Social Movements

*         Crowd sourcing

*         Opinion mining

*         Social network analysis

*         Organisational Network Analysis

*         Innovative collaborative business models based on Social Media

*         Social Media enabled value creation strategies

*         Social Media based business value Webs

*         Impact of Social Media on organizational strategies

*         Information Quality issues in Social Media

 

Mini-track: Customer Experience and Organizational Intelligence

 

Donald Heath, University of Wisconsin Oshkosh,  <mailto:drheath2 at gmail.com>
drheath2 at gmail.com 

Rahul Singh, University of North Carolina – Greensboro,
<mailto:r_singh2 at uncg.edu> r_singh2 at uncg.edu 

 

Computing is revolutionizing the way humans interact with other humans,
devices, applications, networks, sensors, infrastructure, machines, services
etc. This provides interesting challenges for business intelligence and
decision support. Such scenarios have characteristics such as pervasive
computing devices including mobile phones, appliances, sensors etc.,
pervasive networks including wired and wireless networks, pervasive
ecosystem entities participating from formal as well as informal social
networks whereby entities engage across multiple locations, platforms etc.,
pervasive data resulting from exponential growth of  data (both structured
as well as unstructured), ecosystem entities, sensors etc., pervasive
computing and storage power available on the go via cloud computing
technologies.

The rise of the Internet of Things challenges companies to reimagine ways to
reach current and potential audiences in a coordinated way across a
multitude of channels and devices — both wired and wireless. Intelligent
enterprises are exploiting this topology to drawing inferences and develop
key analytics by aggregating and mining data about customers, competitors,
vendors, markets, and products as well as services. Enterprises are able to
garner global and local intelligence enabling them to develop innovative
products and services better aligned to market needs. We invite research
which addresses or expands on these ideas. 

Potential Topics:

Topics covered by the mini-track include but are not limited to:

*         Engaging end customers via a combination of devices and delivery
channels

*         Multi-modal user experiences & Immersive Interaction Technologies

*         Enhancing customer engagement by combining immersive interaction
technologies and multi-modal user experiences

*         Enabling enterprises to make intelligent decisions related to
workforce composition, collaboration, leadership and, employee retention

*         Pervasive computing devices requiring the need to reach end
customers across multitude of devices

*         Exponential growth of data (both structured as well as
unstructured), created by end customers, sensors etc. requiring the need to
analyses and visualize the data 

*         Leveraging easy availability of computing power on the go in the
form of cloud computing  

*         Decision making by understanding and analyzing the collective
intelligence created across various customer touch points as well as social
networks.

*         Better understanding of customer behavior using techniques such as
text analytics, natural language processing as well as social network
analysis. 

*         Improved visibility across the supply chain and real-time data
availability.

*         Better monitoring of production processes to optimize operations,
reduce costs, enhance production as well as prevent and/or detect health and
safety issues.

*         Adaptive systems which respond to touch-point data

 

Mini-track: Semantic Technologies and Big Data Analytics

Victoria Y. Yoon, Virginia Commonwealth University,  <mailto:vyyoon at vcu.edu>
vyyoon at vcu.edu

This mini-track aims to bring academicians and practitioners together to
exchange and share the latest results in research and application of
Semantic Integration for Big Data Analytics. The mini-track will provide a
forum for gaining a better understanding of the new technologies and their
business aspects for semantic integration for big data analytics. Potential
authors/researchers are encouraged to submit papers that address the issues
related to designing, developing, and evaluating the semantic integration of
large volume of heterogeneous data from the technical, behavioral,
economical, or managerial perspectives. 

Potential Topics:

This mini-track will focus on:

*         Semantic interoperability

*         Innovative design artifacts for semantic integration

*         Novel applications for semantic integration for Big Data Analytics

*         Semantic Integration for e-business and e-learning

*         Semantic Web/Ontology for Data Integration

*         Ontology creation, evolution, reconciliation, and mediation for
Big Data Analytics

*         Ontology mapping, Integration, and/or alignment for Big Data
Analytics

*         Software agents for Semantic Integration

*         Managerial Issues of Semantic Integration for Big Data Analytics

 

=========================================

Vijayan Sugumaran, Ph.D.

Professor of Management Information Systems

Chair, Department of Decision and Information Sciences

School of Business Administration

Oakland University

Rochester, MI 48309

Phone: 248-370-4649

Fax: 248-370-4275

Email: sugumara at oakland.edu <mailto:sugumara at oakland.edu> 

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