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Dear Colleagues,
We invite you to submit your work to the following minitrack:
HICSS-2021 MINITRACK: Business Intelligence, Business Analytics
and Big Data: Innovation, Deployment and Management
Hawaii International Conference on Systems Science (HICSS-54)
January 5-8, 2021
Grand Hyatt, Kauai
http://hicss.hawaii.ed<http://hicss.hawaii.edu>u
This minitrack, now in its 31st year, is the longest running HICSS
minitrack related to business intelligence, business analytics and
more recently big data. 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.
The minitrack remains relevant, thought provoking, collaborative
and innovative as new developments and the evolution of data and
technologies in the business intelligence (BI)/ business analytics
(BA) and big data space continue to create new opportunities and
challenges for individuals, organizations and society. More than
ever, organizations are facing new data-related and analytics
challenges that span the whole life cycle of BI/BA/big data
applications and projects. Emerging trends such as the Internet of
Things (IoT), augmented analytics powered by machine learning and
AI and DataOps, which are enhancing the entire analytics life
cycle, are all urging companies to identify new use cases,
applications and business models to take advantage of (big) data
and analytics. At the same time, companies are experiencing an
unprecedented shortage in skills and analytical capabilities,
which in turn limit their potential.
This minitrack will accept papers focused on the business,
organizational and societal 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 ecosystems, data coops, data marketplaces and open data
environments
* Data entrepreneurship
* Data humanism
* Societal datafication and utilization of dark data
* Innovative applications of big data and advanced business
analytics
* Internet of Things and edge computing in analytics
* Algorithmic decision-making
* Cognitive analytics/Augmented analytics
* Cloud BI/BA
* Self-service BI and Analytics
* Impact of DataOps of BI/BA life cycle
· - Business Intelligence/Business Analytics/Big Data Deployment
and Applications:
* Deployment of BI/BA/big data in different industry sectors and
contexts
* Case studies about the successful deployment of BI/BA/big data
* Data lakes, multi-clouds and modern BI/BA/big data architectures
and implementation frameworks
* Collaborative BI/BA performance management and dashboards
* Customer relationship management and supply chain management
* Geographical information systems and spatial analytics
* Analytics for organizational resilience
* Digital manufacturing and industrial analytics
* Smart cities and IoT
* Social media and BI/BA/big data
* Open data, big data, “small” data and warm 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, ongoing professional
development, changing roles of the Chief Data Officer/Chief
Analytics Officer, emergence of organizational citizen analytics
workforce
* Business value and BI/BA/big data success
* Data monetization
* Business challenges of big data
* Big data ethics
* Responsible leadership of BI/BA/big data
* 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 Chairs:
Olivera Marjanovic (Primary Contact)
University of Technology Sydney
olivera.marjanovic@uts.edu.au
Barbara Dinter
Chemnitz University of Technology
barbara.dinter@wirtschaft.tu-chemnitz.de
Thilini Ariyachandra
Xavier University
ariyachandrat@xavier.edu
Important Dates:
NEW deadline: July 15, 2020: Paper Submission Deadline (11:59 pm
HST)
August 17, 2020: Notification of Acceptance/Rejection
September 4, 2020: Deadline for A-M Authors to Submit Revised
Manuscript for Review
October 1, 2020: Deadline for at least one author of to register
for HICSS-54
Professor Olivera Marjanovic, PhD
School of Professional Practice & Leadership
FEIT Women in Engineering & IT
Champion
<https://www.uts.edu.au/about/faculty-engineering-and-information-technology/women-engineering-and-it/about-us>
FEIT FFYE Coordinator
PPL Responsible Academic Officer RAO (Research)
https://www.uts.edu.au/staff/olivera.marjanovic
Faculty of Engineering and IT
University of Technology Sydney
T. +61 (02) 9514 3175
PO Box 123 Broadway NSW 2007 Australia
uts.edu.au
<http://uts.edu.au/>
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