[AISWorld] Call for mini-track proposals - AMCIS 2012 Track on Decision Support, Data Management Systems, Knowledge Management, and Business Intelligence (sponsored by AIS SIGDSS)

[Ozgur Turetken]

We are soliciting mini-track proposals for the AMCIS 2012 track sponsored by
AIS SIGDSS. The details are as follows:

Track Name: Decision Support, Data Management Systems, Knowledge Management,
and Business Intelligence (SIGDSS)

Track Co-Chairs:	Lakshmi Iyer, The University of North Carolina at
Greensboro, Lsiyer at uncg.edu
       			Ozgur Turetken, Ryerson University,
turetken at ryerson.ca

Deadline for proposal submissions: November 16, 2011 (12 midnight EST)

Submit your mini-track proposal using the manuscript central system at
http://mc.manuscriptcentral.com/amcis2012  

Guidelines: The Proposals should be a maximum of 2 pages long. Proposals
should provide a brief one- or two-paragraph description of the main theme,
its importance and relevance to information systems research and practice,
and its relevance to the track. You should also list some potential topics
for your mini-track. Please see detailed track description and some
suggested topics. Each proposal must list names and contact information of
mini-track chair(s).

Track Description:

The abundance of information available to today's managers makes it
essential to efficiently represent, filter, and present information for
effective decision making. This track aims to attract novel research on
technologies, applications, and processes for gathering, storing, accessing,
and analyzing data, information and knowledge for informed managerial
decisions and improved organizational performance.

In addition to the plethora of applications that are already available for
data mining and business intelligence, newer technologies such as web 2.0
and social networking environments bring in novel managerial and technical
challenges related to analyzing large volumes of data. Knowledge management
also encompasses knowledge that exists in unstructured forms and that
intersects with technology, processes and people. The result is not only
technical, but also business and management challenges that include
economic, strategic, and behavioral issues. This research track aims to
promote forward- thinking research in theoretical, design science, and
behavioral aspects of BI/KM/DSS/Analytics.

This track has consistently taken place in the AMCIS program with varying
combinations of BI/KM related topics such as data warehousing, text mining
and data visualization. The track has evolved over time as there are changes
in the available technologies and related issues in the domain.

The AMCIS 2011 track included the following mini-tracks:
. Web Intelligence
. Harnessing Social Media for Business Intelligence
. Business Intelligence for Organizational Performance Measurement and
Improvement
. Master Data Management: Strategies, Concepts and Cases
. Building Intelligent IT Processes: Definition, Development and Control
. Web, Text, and Data mining
. Knowledge Management Value, Success and Performance Measurements
. Design, operations, and consolidation of BI applications
. Spatial Business Intelligence, Decision Support, and Knowledge Management
. Next Generation Data Warehousing: Transitioning to the Era of Advanced
Analytics
. Knowledge Management (KM) and Work Group Collaboration

In addition, we are soliciting mini-tracks in topics including, but not
limited to:
. DSS Design Methodologies and Approaches
. Specifications for Detail and Precision in DSS Models
. Decision Support Model Formulation
. DSS Model Management in Web and Distributed Computing Environments
. Evaluation of DSS Designs
. Technical Antecedents of DSS Acceptance and Use
. Role and Effects of User Involvement in DSS Design and Development
. Comparative Effectiveness of Different Interactive Structures for DSS
. Emerging Technologies for DSS Development and Delivery
. Online analytical processing (modeling)
. Data integration management (such as ETL, EAI, EII, SOA)
. Social media and Web 2.0 analytics
. Pervasive and real-time BI
. Data warehouse or data mart design (conceptual, logical, physical)
. BI for customer relationship management
. Data and information visualization
. Business performance management (BPM) and optimization
. Data Security
. Information privacy
. Behavioral Economics and BI
. BI strategies
. BI performance metrics
. BI governance, implementation, management and metrics
. Management of knowledge and business process improvement
. Measurement of organizational knowledge
. Knowledge Management Systems (KMS)
. Social and behavioral issues in KM
. KM and Web 2.0.


Best regards,

Ozgur Turetken, Ph.D.
Associate Professor,
Ted Rogers School of Information Technology Management,
Ryerson University,
Address: Room 3-091 575 Bay Street, Toronto, ON Canada M5G 2C5,
Mailing Adress: 350 Victoria Street, Toronto, ON, Canada M5B 2K3,
Tel: (416) 979 5000 x2481,
Fax: (416) 979 5249,
E-mail: turetken at ryerson.ca
http://www.ryerson.ca/itm/fcty/turetken/turetken.htm