-------- Original Message -------- Subject: [AISWorld] Call for mini-track proposals - AMCIS 2012 Track on Decision Support, Data Management Systems, Knowledge Management, and Business Intelligence (sponsored by AIS SIGDSS) Date: Mon, 7 Nov 2011 20:12:27 -0500 From: Lakshmi Iyer lsiyer@uncg.edu To: aisworld@lists.aisnet.org

Dear Colleagues:

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@uncg.edu Ozgur Turetken, Ryerson University, turetken@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,

Lakshmi S. Iyer, Ph.D. Associate Professor and Information Systems Graduate Programs Director The University of North Carolina at Greensboro Email: Lsiyer@uncg.edu; Phone: 336/334-4984; Fax: 336/334-5580 URL: http://www.uncg.edu/bae/people/lsiyer Women in IT - http://wiit.uncg.edu, www.facebook.com/wemakeIT Global IT conference: www.gitma.org

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