[AISWorld] CFP HICSS-55 Minitrack: BI, BA and Big Data: Innovation, Deployment and Management with a publication opportunity

Wed Jun 2 08:08:56 EDT 2021

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 also provide an opportunity for (extended) relevant papers of this minitrack to be fast-tracked to the journal of Data & Analytics For Good that is focused on how data and analytics can be used to support the 17 UN Sustainability Goals.

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 at uts.edu.au<mailto:olivera.marjanovic at uts.edu.au>

Barbara Dinter
Chemnitz University of Technology
barbara.dinter at wirtschaft.tu-chemnitz.de<mailto:barbara.dinter at wirtschaft.tu-chemnitz.de>

Thilini Ariyachandra
Xavier University
ariyachandrat at xavier.edu<mailto:ariyachandrat at 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<http://uts.edu.au/>

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