INFORMS Open Forum

CFP-HICSS-57 - Location Intelligence Track - Location Analytics Research in System Sciences Mini-track

  • 1.  CFP-HICSS-57 - Location Intelligence Track - Location Analytics Research in System Sciences Mini-track

    Posted 04-11-2023 00:48

    Dear colleagues,

    You are cordially invited to submit research papers to the LOCATION ANALYTICS RESEARCH IN SYSTEM SCIENCES MINITRACK, which is part of the Location Intelligence track at HICSS-57 (January 3-6, 2024, Honolulu, Hawaii).

    Description of the minitrack

    This minitrack aims to foster research and collaboration in the expansive, multi-disciplinary area of locational analytics. Digital transformation is leading to application of locational data for organizational intelligence and decision making in the areas of business operations, marketing, management information systems, supply chain management and logistics, environment, natural resources, healthcare, retail, sharing economy, public safety, risk mitigation and disaster management, among others. Scholarly research papers are sought that apply a variety of theories and empirical techniques, quantitative, and qualitative, to understand how location, geography, and related data are increasingly important to incorporate into the system sciences. There is a need to develop new theories and modify existing ones for the systems sciences that incorporate spatial data, locational intelligence, and geographical concepts. Current concepts of data science, big data, trust, and privacy need attention in addressing locational intelligence research questions.

    Research papers will be solicited across a range of topics, including but not limited to:

    • Location Analytics in Business: Analyses that address a range of business functions, including marketing, customer relations, operations, logistics, supply chain, asset and risk management, corporate social responsibility.
    • Location Analytics in Healthcare: Analyses that address locational dimensions of health and delivery of healthcare.
    • Location Analytics for Spatial Big Data: Analyses that introduce and enhance such emerging areas of space-time modeling, spatial analytics, locational decision-making, geography of the sharing economy, and spatially referenced social media.Novel Theories and Applications of Geo-AI/ML in Business and Society
    • Novel Theories and Applications of Geo-Blockchain in Business and Society
    • Industry Clusters and Community Development: Analyses that address spatial aspects of economic development and community impacts, including infrastructure, workforce, environmental impacts, and social inequalities.
    • Emergency Management and Public Safety: Studies of systems for locational intelligence and decision-making in crises and emergencies.
    • Location Analytics Theory, Concepts and Methods: Analyses that explore innovative approaches to advancing location analytics theory, concepts, and methods.
    • Locational Data Privacy and Security: Research on the issues and problems of locational data privacy and security.
    • Advances in Indoor Positioning Systems, Location Tracking, and Wayfinding
    • Geospatial Analytics and Digital Twins

    Important Dates

    • April 15: Paper submission system reopened for HICSS-57
    • June 15: Papers due
    • August 17: Notification of Acceptance/Rejection
    • September 22: Deadline for Authors to Submit Final Manuscript for Publication
    • October 1: Deadline for at least one author of each paper to register for HICSS-56

    Author Instructors HICSS accepts full papers only, abstract submissions are not accepted. Find instructions for authors at https://hicss.hawaii.edu/authors/
    Papers published in this Mini-track in previous years can be found in HICSS Proceedings at 2021 HICSS-54, 2022 HICSS-55, and 2023 HICSS-56.

    Minitrack Co-Chairs: Feel free to contact the mini-track co-chairs James Pick (Primary Contact), University of Redlands, James_Pick@redlands.edu, and Avijit Sarkar,

    University of Redlands, Avijit_Sarkar@redlands.edu if you have any questions.



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    Avijit Sarkar
    Professor of Business Analytics
    University of Redlands
    Redlands CA
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