Dear Colleagues,
We invite you to submit your work to:
HICSS-52 MINI-TRACK: Business Intelligence, Business
Analytics and Big Data: Innovation, Deployment and
Management
Recent developments and the evolution of data and
technologies in the business intelligence (BI) and business
analytics (BA) space has given rise to new opportunities for
individuals, organizations and society. As a result of
digitization and 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,
machine learning and cognitive analytics encourage, but also
urge companies to identify new
use cases, applications and business models taking 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 considering
strategic, economic, legal and ethical issues.
Meanwhile, there is an ongoing major shift in the
industry of organizations leveraging pervasive, self-service
analytics. The push for self-service analytics that include
a portfolio of analysis tools, algorithms and visualizations
has enabled agile decision
making through effective business insights. In addition, the
growth in this space has led to societal implications as the
social impact of big data and analytics are felt more
strongly and benefits underdeveloped and underrepresented
parts of the globe. The
evolution and innovation experienced has created a state of
excitement and flux in the BI, analytics and big data space.
Starting from a rich historic advancement in decision
support systems, to more recently big data, internet of
things, machine learning and
cognitive analytics, this space continues to present a wide
variety of research questions and challenges for researchers
to explore.
This minitrack, now in its 29th 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 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
* Impact of the digitization and digital
transformation on the information & data management in
organizations
* 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
* Case studies about the successful deployment of
BI/BA/big data
* Data lakes and modern big data/BI/BA 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
* Social media & big data/BI/BA
* Open data and big data/BI/BA
* Data visualization strategies and visual analytics
Management of Business Intelligence/Business
Analytics/Big Data
* Big data/BI/BA strategy, governance, and maturity
models
* Business value and big data/BI/BA success
* Business challenges of big data
* Big data ethics and morality
* Societal impact of big data/BI/BA
* Security and privacy issues
* Big data/BI/BA challenges in NFP organizations
Minitrack Chairs:
IMPORTANT DATES FOR PAPER SUBMISSION
June 15, 2018 | 11:59 pm HST: Paper Submission Deadline
August 17, 2018: Notification of Acceptance/Rejection
September 22, 2018: Deadline for Authors to Submit Final
Manuscript for Publication
October 1, 2018: Deadline for at least one author of each
paper to register for HICSS-52
---
Prof. Dr. Barbara Dinter
Chemnitz University of Technology
Faculty of Economics and Business Administration
Business Information Systems Group
Thueringer Weg 7, 09126 Chemnitz, Germany