-------- Weitergeleitete Nachricht -------- Betreff: [WI] Final CfP ECIS 2018 Track Business Analytics Management and Applications Datum: Wed, 22 Nov 2017 06:17:53 +0000 Von: Barbara Dinter barbara.dinter@wirtschaft.tu-chemnitz.de Antwort an: Barbara Dinter barbara.dinter@wirtschaft.tu-chemnitz.de An: wi@lists.kit.edu wi@lists.kit.edu
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=== FINAL CALL FOR PAPERS ===
25th European Conference on Information Systems (ECIS 2018)
Track 07: Business Analytics Management and Applications
June 23rd - 28th 2018 / Portsmouth, UK
Deadline for paper submissions: November 27th, 2017
=== TRACK CHAIRS ===
Christian Janiesch
University of Würzburg, Germany
christian.janiesch@uni-wuerzburg.de mailto:christian.janiesch@uni-wuerzburg.de
Aleš Popovič
University of Ljubljana, Slovenia
ales.popovic@ef.uni-lj.si mailto:ales.popovic@ef.uni-lj.si
Barbara Dinter
Chemnitz University of Technology, Germany
barbara.dinter@wirtschaft.tu-chemnitz.de mailto:barbara.dinter@wirtschaft.tu-chemnitz.de
=== TRACK DESCRIPTION ===
Full version:
Digitization has become heavily embedded today’s business operations. This, among many other drivers, is fueling the assimilation of business intelligence and business analytics approaches within organizations across various industries as more and more data becomes available allowing for more detailed analyses.
Business Analytics Management research explores organizational and technological advances to improve business performance in a continuous and iterative way. Business intelligence and business analytics approaches typically include ETL, OLAP as well as exploratory data analysis techniques to provide historical, current, and predictive views of the business. However, limited attention has been given to the individual’s perspective focusing on personal objectives and characteristics as enabling or suppressing factors to business intelligence and business analytics use. The big data challenge, fueled by increasing variety, volume, velocity, and veracity of data, bares large potential for research and practice by extending existing analytics beyond the traditional organizational borders. New phenomena or paradigm changes from the use of analytics approaches emerge the same way as other business models do. Furthermore, the availability of seemingly endless computing and cheaper storage capabilities available through the cloud computing enables new opportunities in providing a global gateway to information as a service.
Motivated by the explosion of interest in these emerging fields, the Business Analytics Management and Applications track promotes multidisciplinary contributions dealing with managerial, economic, cultural, architectural, and technological perspectives on the management of business intelligence and business analytics technology as well as applications. Submissions based on theoretical research, design research, action research, or behavioral research are encouraged. We welcome full research papers, research in progress papers, and prototype papers.
The track’s topics of interest include, but are not limited to:
Management of Business Intelligence and Business Analytics (BI&A) and Big Data
* Strategic and change management issues stemming from BI&A and big data
* Business value and success of BI&A and big data
* Big data driven business model innovation
* Organizational issues in BI&A and big data implementation and operations
* Adoption, routinization, maturity, and use of BI&A and big data
* Data quality, data governance
* Conceptual modeling of BI&A and big data
* Societal impact of BI&A and big data
* Emerging trends in BI&A and big data
Applications of Business Intelligence and Business Analytics (BI&A) and Big Data
* BI&A in the cloud, BI&A as a service
* Real-time analytics and operational BI, event-driven BA
* Business activity monitoring and process analytics
* Use cases and innovative applications of BI&A and big data
* BI&A and big data’s new frontiers in, e.g., social (media), sports, education, healthcare
* Digital manufacturing and the Internet of Things
* Data visualization, visual analytics
We are looking forward to seeing you in Portsmouth 2018!
Christian, Aleš, and Barbara
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Prof. Dr. Barbara Dinter
Technische Universität Chemnitz
Professur Wirtschaftsinformatik - Geschäftsprozess- und Informationsmanagement
Thüringer Weg 7, 09126 Chemnitz
Tel.: 0371 531 39228
Mail: Barbara.Dinter@wirtschaft.tu-chemnitz.de mailto:Barbara.Dinter@wirtschaft.tu-chemnitz.de
Info: http://www.tu-chemnitz.de/wirtschaft/wi1 http://www.tu-chemnitz.de/wirtschaft/wi1
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