-------- Forwarded Message -------- Subject: [WI] HICSS-2020 MINI-TRACK: Business Intelligence, Business Analytics and Big Data: Innovation, Deployment and Management Date: Thu, 23 May 2019 22:26:21 +0000 From: Barbara Dinter barbara.dinter@wirtschaft.tu-chemnitz.de Reply-To: Barbara Dinter barbara.dinter@wirtschaft.tu-chemnitz.de To: wi@lists.kit.edu wi@lists.kit.edu
Dear Colleagues,
We invite you to submit your work to the following minitrack:
HICSS-2020 MINITRACK: Business Intelligence, Business Analytics and Big Data: Innovation, Deployment and Management
Hawaii International Conference on Systems Science (HICSS-53)
January 7-10, 2020
Grand Wailea, Maui, Hawaii, USA
(hicss.hawaii.edu)
Recent developments and the evolution of data and technologies in the business intelligence (BI) and business analytics (BA) space have given rise to new opportunities for individuals, organizations and society. As a result of rapid digital transformation, organizations are facing various challenges, covering the whole life cycle of BI/BA/big data applications and projects. Emerging trends such as the Internet of Things (IoT), machine learning and cognitive analytics urge companies to identify new use cases, applications and business models to take advantage of (big) data and analytics. To close the gap between potential and real benefits of BI/BA/big data, more research on their deployment is needed in terms of artifacts such as methods, reference architectures, etc. as well as theoretical and conceptual underpinnings. Finally, operations and continuous enhancement of BI/BA/big data applications encompass management tasks that consider strategic, economic, legal and ethical issues.
This minitrack, now in its 30th year, is the longest running HICSS minitrack related to business intelligence, business analytics and more recently big data that continues to rise in relevance to both academia and practice. Its main focus remains on the organizational issues of BI/BA and big data implementations, rather than the data science and IT perspectives. This particular focus, as well as its long history of research embedded in Decision Support Systems and other research predecessors of contemporary BI/A, creates a minitrack with a rich comprehensive view of organizational issues.
This minitrack will accept papers focused on the business and organizational aspects of business intelligence, business analytics and big data as well as challenges related to BI/BA/big data workforce including their education and ongoing professional development. Contributions from the fields of theory building, design research (methods and models), action research as well as analyses of existing or innovative applications are welcome. We invite papers that investigate topics which include, but are not limited to, the following:
** Innovation and Emerging Trends in Business Intelligence, Business Analytics and Big Data:
· Data-driven business models and innovation
· Data entrepreneurship
· Data humanism
· Datafication
· Innovative applications of big data and advanced business analytics
· Internet of Things
· Algorithmic decision-making
· Cognitive analytics
· Cloud BI/BA
· Self-service BI and Analytics
** Business Intelligence/Business Analytics/Big Data Deployment and Applications:
· Deployment of BI/BA/big data in different industry sectors
· Case studies about the successful deployment of BI/BA/big data
· Data lakes and modern BI/BA/big data architectures and implementation frameworks
· Collaborative BI/BA performance management and dashboards
· Customer relationship management, supply chain management, and E-commerce
· Geographical information systems and spatial analytics
· Digital manufacturing
· Smart cities and IoT
· Social media and BI/BA/big data
· Open data and BI/BA/big data
· Data visualization strategies and visual analytics
· Data-driven storytelling
** Management of Business Intelligence/Business Analytics/Big Data
· BI/BA/big data strategy, governance, and maturity models
· Data literacy
· BI/BA/big data workforce: education and ongoing professional development
· Business value and BI/BA/big data success
· Data monetization
· Business challenges of big data
· Big data ethics and morality
· Societal impact of BI/BA/big data
· Security and privacy issues
· BI/BA/big data challenges in NFP and non-traditional organizations (cooperatives, social enterprises)
Minitrack Co-Chairs:
Olivera Marjanovic (Primary Contact)
University of Technology Sydney
olivera.marjanovic@uts.edu.au mailto:olivera.marjanovic@uts.edu.au
Barbara Dinter
Chemnitz University of Technology
barbara.dinter@wirtschaft.tu-chemnitz.de mailto:barbara.dinter@wirtschaft.tu-chemnitz.de
Thilini Ariyachandra
Xavier University
ariyachandrat@xavier.edu mailto:ariyachandrat@xavier.edu
IMPORTANT DATES FOR PAPER SUBMISSION
- June 15: Submissions deadline
- August 17: Notification sent to authors
- September 4: Revision deadline
- September 10: Final acceptance notifications sent to authors
- September 22: Deadline for authors to submit the final manuscript (camera ready)
- October 1: Registration deadline
- January 7-10: Conference
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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
Barbara.Dinter@wirtschaft.tu-chemnitz.de mailto:Barbara.Dinter@wirtschaft.tu-chemnitz.de
http://www.tu-chemnitz.de/wirtschaft/wi1
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