-------- Original Message -------- Subject: [AISWorld] AMCIS 2012: CFP SiGDSS - Minitrack on "Towards new Business Intelligence Architectures" Date: Sun, 26 Feb 2012 15:01:27 +0100 From: Sebastian Olbrich sebastian.olbrich@arcor.de To: aisworld@lists.aisnet.org
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CALL FOR PAPERS
AMCIS 2012 Seattle, Washington August 9-12, 2012**
Track: Decision Support, Data Management Systems, Knowledge Management, and Business Intelligence (SIGDSS)
Mini-Track Title: Towards new Business Intelligence Architectures
DESCRIPTION
Business Intelligence (BI) denotes integrated, IT-based approaches to decision support based on internal and external data. A BI approach binds together technologies, applications, and processes for gathering, storing, accessing, and analyzing data to help its users make better and more consistent decisions. BI thereby contributes to an organization's competitiveness and sustainable development.
The complexity of this task requires a prudent design of architectures that balance efficiency and consistency requirements (usually based on a Data Warehouse (SW) as the central hub for transforming data into relevant information) with demands for agility. The latter have gained significantly in relevance in the current turbulent, global, and networked business environments. Examples include
* the quick exploitation of new and advanced analytic functionality, e.g. for data, text, or process mining, * the deployment of real-time-triggers, or * the fast inclusion and analysis of innovative data sources, e.g. large volumes of textual data from the web and the web 2.0 (Big Data), from governments (Open Data), or from new internal systems (e.g. sensor data from manufacturing and logistics).
New solutions proposed to deal with these challenges include in-memory- BI or cloud-based BI -- approaches that raise a multitude of issues regarding their integration into BI architectures.
In order to be successful, architecture design needs to be backed up by a multitude of organisational measures, e.g. crafting an information management strategy, deriving appropriate responsibilities and processes (i.e. data and BI governance), managing DW/BI financials (e.g. funding and charging), communicating DW/BI potential to the business, and aligning DW/BI demand and supply. BI therefore deals with the effective deployment of organizational practices, processes, and technology to create wealth from an organization's intangible assets such as knowledge, skills, expertise and capabilities.
The focus of this track is on acquisition, creation, transfer, internalization, and utilization of knowledge and decision making capital at individual, group, organizational and societal level. It aims to promote theoretical design science and behavioural research in these domains. We welcome regular full-length papers related to the enabling role of information systems in decision making and information management.
We are particularly interested in the recent technological advances in the field of online and real-time information processes. We therefore encourage submissions that address the application of these technologies and the changes that the applications depend on.
*Topics of interest include, but are not limited to: *
* Economics of and metrics for a BI based information management * Strategy and critical success factors for adopting recent developments in technology (e.g. in-memory databases, BI in the cloud) * Agile DW architectures that make use of the adoption of new technologies * Design, development, and use of BI applications * Enablers and barriers of the organizational adoption of BI systems * Acquisition, integration and adoption of BI in various organizational and social contexts * Management of decision makers and resources * Impact of BI programs or applications on individual, group, and organizational performance; on organizational strategy; and/or on innovation. * Role of IT-based knowledge and/or decision making resources for competitive action * Role of inter-organizational and social networks for creating knowledge/intelligence * Cross-cultural and cross-organisational issues affecting BI architecture * BI architectures for enabling Data Mining and Decision Support based on unstructured data (e.g. from the web or the web 2.0)
IMPORTANT DATES: January 3, 2012: Manuscript Central will start accepting paper submissions
March 1, 2012: (11:59 PM Pacific time zone): Deadline for paper submissions
April 6, 20012: Authors will be notified of acceptances on or about this date
April 25, 2012: (11:59 PM Pacific time zone): For accepted papers, camera ready copy due
INSTRUCTIONS FOR AUTHORS: All conference submissions will be double-blind, peer reviewed, and must be submitted using the online submission system at http://mc.manuscriptcentral.com/amcis2012 For complete instructions for authors and information about the conference, visit the AMCIS 2012 conference website at http://amcis2012.aisnet.org/after January 2, 2012.
MINI-TRACK CHAIRS:
Sebastian Olbrich
University of Duisburg-Essen - Mercator School of Management (MSM)
Lotharstraße 65, 47057 Duisburg, Germany
sebastian.olbrich@uni-due.de
Henning Baars
Universität Stuttgart - Chair of Information Systems 1
Keplerstr. 17, 70174 Stuttgart, Germany
Baars@wi.uni-stuttgart.de
Peter Chamoni
University of Duisburg-Essen - Mercator School of Management (MSM)
Lotharstraße 65, 47057 Duisburg, Germany
Peter.Chamoni@uni-duisburg-essen.de
Hans-Georg Kemper
Universität Stuttgart - Chair of Information Systems 1
Keplerstr. 17, 70174 Stuttgart, Germany
kemper@wi.uni-stuttgart.de