HICSS-59 Minitrack on
Business Process Technology

Goals & Topics

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 

Submission Instructions

• Minitrack submissions should follow the general author guidelines of HICSS-59.
  
  

Important Dates

• 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

Organizers

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