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Dear Colleagues,
We invite you to submit your work to the following minitrack:
HICSS-2022 MINITRACK: Business Intelligence, Business Analytics
and Big Data: Innovation, Deployment and Management
Hawaii International Conference on Systems Science (HICSS-55)
January 4-7, 2022
Grand Wailea, Maui, Hawaii, USA
(hicss.hawaii.edu)
This minitrack, now in its 32nd 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.
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 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
* Data harm
* Societal implications of datafication and big data
* Ethical, moral and human rights issues of analytics and big data
enabled AI
* Innovative applications of big data and advanced business
analytics
* Internet of Things and edge computing in analytics
* Algorithmic decision-making and its impact
* Cognitive analytics/Augmented analytics
* Cloud BI/BA; SaaS BI
* Self-service BI and Analytics
* Data cataloguing
* 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, embedded analytics, performance management
and dashboards
* Customer relationship management and supply chain management
* 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, data driven culture, governance,
democratization, 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
- Datafication and societal impact
- 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, 2021 | 11:59 pm HST: Paper Submission Deadline
August 17, 2021: Notification of Acceptance/Rejection
September 22, 2021: Deadline for Authors to Submit Final
Manuscript for Publication
October 1, 2021: Deadline for at least one author of each paper to
register for HICSS-55
January 4-7, 2022: Conference
Professor Olivera Marjanovic, PhD
School of Professional Practice and Leadership
PPL Responsible Academic Officer RAO (Research)
FEIT Women in Engineering & IT (WiEIT)
Champion
<https://www.uts.edu.au/about/faculty-engineering-and-information-technology/women-engineering-and-it/about-us>
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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