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Dear Community,
We invite you to submit your work to the following minitrack:
HICSS-2023 MINITRACK: Business Intelligence, Business Analytics
and Big Data: Innovation, Deployment and Management
Hawaii International Conference on Systems Science (HICSS-56)
January 3-6, 2023
Hyatt Regency, Maui, Hawaii, USA
(hicss.hawaii.edu)
This minitrack 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/BA, 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.
Following HICSS’ long tradition and in the spirit of Aloha, this
minitrack continues to build a strong international community of
multidisciplinary scholars (at all levels), led by the
experienced, dedicated, and community-oriented minitrack
co-chairs.
This minitrack will accept papers focused on the business,
organizational and societal aspects of business intelligence,
business analytics and big data as well as the 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 organizational resilience
* Data-driven business models and innovation
* Data ecosystems, data coops, data marketplaces and open data
environments
* Data entrepreneurship
* Data humanism
* Data harm
* Societal implications of datafication and big 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
* Data cataloguing
* Impact of DataOps on the BI/BA life cycle
* BI/BA and Analytics in post-pandemic world
· 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
* The role of BI/BA/big data for sustainability and circular
economy
* 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
* BI/BA/big data applications that support environmental, social
and governance initiatives
· Management of Business Intelligence/Business Analytics/Big Data
- BI/BA/big data strategy, governance, and maturity models
- Data literacy and data-driven culture
- 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 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 2022 | 11:59 pm HST: Paper Submission Deadline
August 17 2022: Notification of Acceptance/Rejection
September 4 2022: Deadline for Authors whose papers are
conditionally accepted to submit a revised manuscript
September 22 2022: Deadline for Authors to submit final manuscript
for publication
October 1 2022: Deadline for at least one author of each paper to
register for HICSS-56
Professor Olivera Marjanovic, PhD
Head of School
FEIT Women in Engineering & IT
(WiEIT)
<https://www.uts.edu.au/about/faculty-engineering-and-information-technology/women-engineering-and-it/about-us>
Academic Staff Ambassador & Mentor
Responsible Academic Officer RAO (Research)
School of Professional Practice and Leadership
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
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