[AISWorld] CFP for Business Intelligence, Analytics, & Knowledge Management (SIGDSS) track at AMCIS 14

[Babita Gupta]

We invite the submission of manuscripts to the Business Intelligence,
Analytics, & Knowledge Management (SIGDSS) track in the 20th Americas
Conference on Information Systems (AMCIS 2014). AMCIS will be held on
August 7-10, 2014 in Savannah. AMCIS 2014 brings together academics and
industry professionals around the world to exchange knowledge related to
the AMCIS 2014 theme, SMART SUSTAINABILITY: the Information Systems
Opportunity.



Business Intelligence, Analytics, & Knowledge Management (SIGDSS) Track
Description (
http://amcis2014.aisnet.org/index.php/track-list/77-amcis-2014/88):

The Business Intelligence, Analytics, & Knowledge Management (BIA&KM) track
aims to attract novel research on technologies, applications, and processes
for gathering, storing, accessing, analyzing, and presenting data,
information, and knowledge for informed managerial decisions and enhanced
organizational performance. Techniques, tools, and best practices in
Business Intelligence (BI), decision support/analytics, and Knowledge
Management (KM) can help support organizational business processes and
systems for collecting and utilizing information related to sustainability
indicators, analytics, dashboards, scorecards, and trend analyses.

As organizations embrace technologies such as social media, and new data
sources (e.g., sensors, RFID), they also face new challenges related to
analyzing and leveraging data characterized by large volume, velocity, and
variety - typically referred to as 'Big Data'. Research focused on
managerial as well as technical challenges in this area is needed. Also,
Knowledge Management can play a key role in dealing with varied forms of
knowledge, structured and unstructured, at the intersection of technology,
processes and people. Knowledge Management strategies and solutions need to
be further investigated and brought to bear on new organizational
challenges, including economic, strategic, and behavioral issues.

This research track aims to promote forward-thinking research in
theoretical, design science, and behavioral aspects of BI/Big
Data/Analytics/DSS/KM. Also, applied research in these areas related to
creating and managing sustainable organizations is welcome.

This track had seven Mini-Tracks (
http://amcis2014.aisnet.org/index.php/track-list/77-amcis-2014/88).

Topics of interest include, but are not limited to:

.              Data/Text/Web mining

.              Online analytical processing (modeling)

.              Master Data Management (MDM)

.              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



SUBMISSION DEADLINE: Saturday, March 1, 2014 midnight, Savannah (EST) time.

SUBMISSION SITE: http://mc.manuscriptcentral.com/amcis2014



To submit a paper, please follow the directions at
http://amcis2014.aisnet.org/index.php/call-for-papers.<http://amcis2014.aisnet.org/index.php/call-for-papers>Papers
will be peer-reviewed using a double-blind system.



We look forward to your submissions.

Track Co-Chairs:

Babita Gupta, California State University Monterey Bay, bgupta at csumb.edu

Thilini Ariyachandra, Xavier University, ariyachandrat at xavier.edu

Amit Deokar, Dakota State University, amit.deokar at dsu.edu
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