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  4. Emergent Behavior and Uncertainty in IoT-Enhanced Business Processes: Challenges and Future Directions
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Emergent Behavior and Uncertainty in IoT-Enhanced Business Processes: Challenges and Future Directions

Journal
International Workshop on Business Processes Meet the Internet of Things (BP-meet-IoT)
Type
conference paper
Date Issued
2026-11
Author(s)
Pegoraro, Marco
;
Pettinari, Sara
;
Compagnucci, Ivan
;
Marco Franceschetti  
;
Ronny Seiger  
DOI
10.83095/ceurws_04310_007
Abstract
IoT-enhanced business processes are characterized by high complexity due to heterogeneous actors, varying levels of autonomy among participating systems, continuously evolving execution contexts spanning the digital and physical worlds, and continuous event streams. In such settings, process behavior partially emerges only at runtime through complex interactions involving humans, IoT devices, physical objects, software systems, agents, and services. This complexity introduces partial observability, uncertainty, and runtime dynamics that are difficult to anticipate and that challenge traditional business process management (BPM) assumptions and systems. We discuss these challenges from three perspectives, addressing 1) uncertainty representation, 2) operationalization of IoT-enhanced processes, and 3) runtime management of emergent behavior. Based on a motivating scenario and an analysis of the state of the art, we identify open research gaps and outline short-, medium-, and long-term recommendations to shape a research agenda on emergent behavior in IoT-enhanced business processes.
Funding(s)
Towards Sustainable Software Architectures for Cyber-physical Systems of Systems (TaSSAreCt)(10002384)  
Language
English (United States)
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
ceur-ws.org
Pages
14
Event Title
10th International Workshop on Business Processes Meet the Internet of Things
Event Location
Enschede, The Netherlands
Event Date
Sep 15, 2026
Official URL
https://ceur-ws.org/Vol-4310/paper6/
URL
https://alexandria.unisg.ch/handle/20.500.14171/142497
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

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