HICSS-57 Minitrack on
Business Process Technology

Honolulu, USA | January 3-6, 2024

Goals & Topics

Already for several decades, organizations strive to better understand, analyze, improve, and automate their business processes. However, recent advancements in the area of Pro-cess Technology have equipped organizations with entirely new means to achieve this goal. In particular Process Mining and Robotic Process Automation have opened up completely new opportunities. Process Mining allows organizations to exploit transactional data rec-orded by Information Systems to improve business processes with respect to performance dimensions such as efficiency, quality, or compliance. Robotic Process Automation (RPA) provides the means to automate repetitive and routine-like work by employing so-called software robots. By combining machine learning and predictive analytics with Process Technology, process weaknesses, such as bottlenecks, cannot only be automatically identified, but also remedied by automating the respective part of the process. 

The goal of this mini-track is to promote scientific exchange on Business Process Technology. The mini-track shall enable researchers to present and discuss innovative approaches, techniques, methodologies, and models to design, adopt, implement, operate, evaluate, and govern the data-driven analysis of business processes. We invite contributions on topics including, but not limited to:

Submission Instructions

Important Dates

Deadlines are 11:59 PM, Hawaii time


Henrik Leopold (primary contact)
Kühne Logistics University, Germany
contact: henrik.leopold(at)the-klu.org
website: www.henrikleopold.com

Han van der Aa
University of Mannheim, Germany
Contact: han.van.der.aa(at)uni-mannheim.de
Website: www.hanvanderaa.com

Carl Corea
University of Koblenz, Koblenz, Germany
Contact: ccorea(at)uni-koblenz.de
Website: https://www.uni-koblenz-landau.de/de/koblenz/fb4/iwvi/p_delfmann/team/carl-corea

Hajo A. Reijers
Utrecht University, The Netherlands
Contact: h.a.reijers(at)uu.nl
Website: www.reijers.com