-------- Forwarded Message -------- Subject: [AISWorld] CFP HICSS-56 Minitrack: BI, BA and Big Data: Innovation, Deployment and Management Date: Thu, 12 May 2022 05:06:30 +0000 From: Olivera Marjanovic Olivera.Marjanovic@uts.edu.au To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org

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.aumailto:olivera.marjanovic@uts.edu.au

Barbara Dinter Chemnitz University of Technology barbara.dinter@wirtschaft.tu-chemnitz.demailto:barbara.dinter@wirtschaft.tu-chemnitz.de

Thilini Ariyachandra Xavier University ariyachandrat@xavier.edumailto: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.auhttp://uts.edu.au/

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