HICSS-59 Minitrack on
Business Process Technology
Maui, Hawaii, USA | January 6-9, 2026
Maui, Hawaii, USA | January 6-9, 2026
For decades, organizations have sought to better understand, analyze, improve, and auto-mate their business processes. Recent advancements in Process Technology have introduced entirely new ways to achieve these goals. In particular, Process Mining and AI-driven approaches have unlocked unprecedented opportunities. Process Mining enables organizations to leverage transactional data recorded by Information Systems to enhance process performance in areas such as efficiency, quality, and compliance. Meanwhile, AI and Generative AI (Gen-AI) Process Technology support business process management across various lifecycle stages. For example, AI can assist modelers through co-modeling, automate process improvements, or apply predictive monitoring to identify and mitigate potential bottle-necks and inefficiencies. While these innovations present exciting possibilities, they also raise important organizational considerations, such as ensuring fairness, compliance, and responsible AI usage through Explainable AI (XAI) techniques.
Given the large interest in this topic in both academia and practice, the goal of this mini-track is to promote scientific exchange on Business Process Technology. The minitrack shall enable researchers to present and discuss innovative approaches, techniques, methodolo-gies, and models to design, adopt, implement, operate, evaluate, and govern the data-driven analysis of business processes.
The Business Process Technology minitrack invites contributions on topics including, but not limited to:
Process Discovery
Conformance Checking and Analysis
Decision Mining, Decision Analytics, Decision Drift Analysis
Declarative and Hybrid Process Analysis
IoT-Aware Process Analysis and Technology
Predictive-/Prescriptive Process Monitoring
(X)AI/Gen-AI Process Technology
LLM-driven Process Analysis
Robotic Process Automation
Hyper-automation
Cognitive Process Automation
Automated Process Analysis and Improvement
Adoption of Process Technology
Governance of Process Technology
Digital Twin Technologies
Minitrack submissions should follow the general author guidelines of HICSS-59.
June 15: Paper submission
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 the conference
January 6-9, 2026: HICSS-59 conference
Deadlines are 11:59 PM, Hawaii time
Henrik Leopold (primary contact)
Kühne Logistics University, Germany
henrik.leopold(at)klu.org
Carl Corea
University of Koblenz, Koblenz, Germany
ccorea(at)uni-koblenz.de
Benoît Depaire
Hasselt University, Hasselt, Belgium
benoit.depaire@uhasselt.be