[AISWorld] CALL FOR PAPERS Hawaii International Conference on System Sciences (HICSS-58), Hilton Waikoloa Village, Big Island, January 7-10, 2025

Zurada, Jozef jozef.zurada at louisville.edu
Sun Mar 24 10:36:32 EDT 2024


CALL FOR PAPERS

Hawaii International Conference on System Sciences (HICSS-58), Hilton Waikoloa Village, Big Island, January 7-10, 2025
http://www.hawaii.edu/<http://www.hicss.edu/>

Collaboration Systems and Technologies Track


Mini-track on Artificial Intelligence and Big Data for Innovative, Collaborative and Sustainable Development of Organizations



Mini-track co-chairs: Celina M. Olszak, Jozef Zurada, Pawel Weichbroth
The advent of the Internet, social media, distributed databases, and mobile devices has led to an exponential growth in data, both structured and unstructured. This diverse data holds substantial business value, encompassing customer information, superstore and online transactions, competitive intelligence, labor market insights, and development trends across various industries to name a few. Real-time data from sources like Twitter, Reddit, and Facebook adds an additional layer of complexity, requiring instant processing using Artificial Intelligence (AI), Big Data (BD), machine learning, data streaming technology, and visual analytics.
Despite the potential benefits, many organizations either lack the necessary tools or fail to grasp the full value of their available data. This minitrack seeks to address these challenges by offering a platform for theoretical, conceptual, and applied discussions on the integration of AI and BD. This minitrack will attempt to gain insights into utilizing data to increase sales, identify opportunities, outperform competitors, enhance products and services, recruit talent, improve operations, and make informed forecasts.
The main objective of this minitrack is to provide organizations with a comprehensive understanding of leveraging AI and BD for innovative, collaborative, and sustainable development, ultimately facilitating effective decision-making. As the digital landscape evolves rapidly, the minitrack aims to bridge the gap between the wealth of available data and its practical utilization within organizations.
This minitrack is designed for researchers, professionals, and practitioners interested in maximizing the potential of AI and BD for organizational growth. It attempts to gain valuable insights into theoretical frameworks, practical applications, and collaborative approaches, equipping them to make informed decisions in a dynamic, data-driven environment. The minitrack provides a platform for in-depth discussions on the transformative power of AI and BD in shaping the future of organizations.

This minitrack invites original research, case studies, and practical implementations focused on, but not limited to:

*        Theoretical foundations of AI and BD for organizational, collaborative, and sustainable development.

*        Practical applications of AI and BD in enhancing products, services, operations, and collaboration.

*        Collaborative approaches to data-driven decision-making using AI.

*        Historical and real-time data processing using AI, machine learning, and visual analytics.

*        Overcoming challenges in implementing AI and BD for collaborative and sustainable development.

*        Tools and technologies for effective utilization of available data.

*        Supporting organizational creativity, innovation and decision-making using AI.

*        Designing intelligent information systems and build decision support systems.

*        Using AI and BD tools and solutions to achieve innovative, collaborative, and sustainable development of organizations.

*        Challenges and opportunities of applying AI and BD for innovative, collaborative, and sustainable development of organizations.

*        State-of-the-art practical approaches, solutions, methods, and tools including machine and deep learning to foster innovative, collaborative, and sustainable development of organizations by using of AI and BD.

*        Technological and human requirements for effective and efficient AI and BD operations.

  *   Technological and human requirements for effective and efficient BI & BD operations



Important dates (https://hicss.hawaii.edu/):

  *   June 15, 2024 (Hawaii Time)               - Submit full manuscripts - the review process is double-blind.
  *   August 17, 2024                                    - Acceptance notice is emailed to authors by the review system
  *   September 22, 2024                            - Submit final paper for publication in the conference proceedings
  *   January 7-10, 2025                              - HICSS Conference



Mini-track Co-Chairs:



Celina M. Olszak (Primary Contact)

University of Economics in Katowice, Poland
celina.olszak at ue.katowice.pl<mailto:celina.olszak at ue.katowice.pl>



Jozef Zurada
University of Louisville, USA
jozef.zurada at louisville.edu<file:///C:/Users/jmzura01/Desktop/Backup%20-%20Desktop%20-%20Oct%202%202019/HICSS-54%20-%20Minitrack/jozef.zurada@louisville.edu>



Pawel Weichbroth

Gdansk University of Technology, Poland

pawel.weichbroth at pg.edu.pl<mailto:pawel.weichbroth at pg.edu.pl>



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