[AISWorld] CFP ECIS 2015 - Track "Business Analytics and Knowledge Management"

[Barbara Dinter]

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CALL FOR PAPERS
23nd European Conference on Information Systems (ECIS 2015)
Track: "Business Analytics and Knowledge Management"
http://ecis2015.eu/files/tracks/04BusinessAnalyticsandKnowledgeManagement.pdf

May 26-29, 2015, Muenster, Germany (http://ecis2015.eu/)

Deadline for paper submissions: November 28, 2014 (strict deadline!)
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Track Description:
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Many research contributions have emphasized the importance of taking care of (big) data, information and knowledge assets for efficient and effective decision support, management, or leadership. Consequently, business analytics (BA) & knowledge management (KM) are essential for organizations’ daily business, directly influencing competitive advantage and business development in a networked society or culture.

Extant BA research explores primarily organizational and technological advances to improve business performance in a continuous and iterative way. However, limited attention has been paid to individuals’ perspective focusing on personal objectives and characteristics as enabling or preventing factors to BA utilization. Extending existing analytics beyond the organizations’ borders bares large potential for research and practice. Furthermore, the availability of practically infinite computing and storage capacity through cloud computing enables new opportunities in servitizing our networked society.

Also, there is some agreement today that knowledge in organizations is an abstract concept that is represented in manifestations such as people and knowledge networks, organizational procedures as well as digital artifacts. As organizations or knowledge workers are more and more distributed, the need for efficient management of knowledge-intensive processes becomes still higher leading to changing practices in organizations or communities. Due to the usage of social software, organizational boundaries become more blurred and knowledge could be diffused much easier. But openness and inter-organizational collaboration demand new mental models and corresponding organizational change.

The BA & KM track aims to promote multi-disciplinary contributions dealing with a managerial, an economic, a methodological, a cultural, or a technical perspective on BA and KM. Submissions based on theoretical research, design research, action research, or behavioral research are encouraged. We welcome both full research papers and research in progress papers.


Topics of interest include, but are not limited to:
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Business analytics
* Strategic management issues of BA (strategy, governance, maturity models, business value)
* Adoption, implementation, routinization, and use of BA (organizational issues, proven practices, critical resources)
* BA success (IS theories for BA success, existing management practices)
* Organizational issues in BA implementation & success (readiness, culture, and strategy)
* Real time data warehousing and operational BI, event-driven BA, BAM
* BA’s new frontiers (social BA and social media analytics, BA in the cloud, Analytics as a service (AaaS))
* Applications of BA (e.g., customer relationship management, business performance management, business intelligence)

Big data
* Big data driven business model innovation and applications by innovative use of big data
* Big data analytics, such as data mining, text mining, web mining, and mobile analytics
* Analytics in the network society 
* Architectures that enable the organization to integrate external data in their analysis
* Technical and organizational approaches that enable the handling of big data 

Knowledge management
* Capturing and sharing knowledge in social networks and distributed contexts
* Cross-border and cross-cultural KM
* Inter- and Intra-organizational KM and KM systems
* KM and smart cities
* KM in the cloud
* Support for mature KM solutions: KM governance, KM strategies, KM maturity models, KM success factors, and KM performance
* Social and behavioral issues in KM
* Mobile technologies and social software usage in KM
* KM and learning
* Knowledge privacy, security, protection and risk management 


Track Chairs:
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Markus Bick, ESCP Europe Wirtschaftshochschule Berlin, Germany, mbick<at>escpeurope.eu (Primary Contact)
Barbara Dinter, Chemnitz University of Technology, Germany, barbara.dinter<at> wirtschaft.tu-chemnitz.de
Christian Janiesch, University of Würzburg, Germany, christian.janiesch<at>uni-wuerzburg.de
Aleš Popovič, University of Ljubljana, Slovenia, ales.popovic<at>ef.uni-lj.si
Stefan Smolnik, University of Hagen, Germany, stefan.smolnik<at>FernUni-Hagen.de


Associate Editors:
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Sule Balkan, National Chiao Tung University, Taiwan
Geneviève Bassellier, McGill University, Canada
Ulrike Baumöl, University of Hagen, Germany
Elsa Cardoso, ISCTE - Instituto Universitário de Lisboa, Spain
Yu-Wei Chuang, Providence University, Taiwan
Tingting Rachel Chung, Chatham University, United States
Katharina Ebner, University of Hagen, Germany
Hansjörg Fromm, Karlsruhe Institute for Technology, Germany
Adir Even, Ben-Gurion University of the Negev, Israel
Michael Goul, Arizona State University, United Stated
Bapita Gupta, California State University Monterey Bay, United States
Roland Holten, University of Frankfurt, Germany
Jurij Jaklic, University of Ljubljana, Slowenia
Murray E. Jennex, San Diego State University, United States
Ralf Knackstedt, University of Hildesheim, Germany
Marek Kowalkiewicz, SAP America Inc, United States
Maurice Kügler, EBS Business School, Germany
Tyge-F. Kummer, Griffith University, Australia
Franz Lehner, Universitaet Passau, Germany
Henry Linger, Monash, Melbourne, Australia
Olivera Marjanovic, The University of Sydney, Australia
Malte Martensen, Accenture ASG, Germany
Martin Matzner, ERCIS, Muenster, Germany
Oliver Müller, University of Liechtenstein, Liechtenstein
Gregory Richards, University of Ottawa, Canada
Saonee Sarker, University of Virginia, United States
Eric Schoop, TU Dresden, Germany
Dick Stenmark, University of Gothenburg, Sweden
Stefan Thalmann, University of Innsbruck, Austria
Marcos Paulo Valadares de Oliveira, Universidade Federal do Espírito Santo, Brasil

 

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Prof. Dr. Barbara Dinter

Chemnitz University of Technology

Faculty of Economics and Business Administration 

Business Information Systems Group

 

Thueringer Weg 7, 09126 Chemnitz, Germany

 <mailto:Barbara.Dinter at wirtschaft.tu-chemnitz.de> Barbara.Dinter at wirtschaft.tu-chemnitz.de

http://www.tu-chemnitz.de/wirtschaft/wi1

 

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