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  4. The Internet-of-Things Meets Business Process Management. A Manifesto.
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The Internet-of-Things Meets Business Process Management. A Manifesto.

Journal
IEEE Systems, Man, and Cybernetics Magazine
Type
journal article
Date Issued
2020-10
Author(s)
Janisch, Christian
;
Koschmider, Agnes
;
Mecella, Massimo
;
Weber, Barbara  
;
Burattin, Andrea
;
Di Ciccio, Claudio
;
Fortino, Giancarlo
;
Gal, Avigdor
;
Kannengiesser, Udo
;
Leotta, Francesco
;
Mannhardt, Felix
;
Marrella, Andrea
;
Mendling, Jan
;
Oberweis, Anderas
;
Reichert, Manfred
;
Rinderle-Ma, Stefanie
;
Serral, Estefania
;
Song, WenZhan
;
Su, Jianwen
;
Torres, Victoria
;
Weidlich, Matthias
;
Weske, Mathias
;
Zhang, Liang
DOI
10.1109/MSMC.2020.3003135
Abstract (De)
The Internet of Things (IoT) refers to a network of connected devices collecting and exchanging data over the Internet. These things
can be artificial or natural and interact as autonomous agents forming a complex system. In turn, Business Process Management
(BPM) was established to analyze, discover, design, implement, execute, monitor and evolve collaborative business processes within
and across organizations. While the IoT and BPM have been regarded as separate topics in research and practice, we strongly believe that the management of IoT applications will strongly benefit from BPM concepts, methods and technologies on the one hand; on the other one, the IoT poses challenges that will require enhancements and extensions of the current state-of-the-art in the BPM field. In this paper, we question to what extent these two paradigms can be combined and we discuss the emerging challenges and intersections from a research and practitioner’s point of view in terms of complex software systems development.
Language
English
Refereed
Yes
Publisher
IEEE
Volume
6
Number
4
Start page
345
End page
44
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/111741
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

SCS - School of Compu...

Eprints ID
260447
File(s)
Thumbnail Image
Name

main.pdf

Size

21.37 MB

Format

Adobe PDF

Checksum (MD5)

e2548ea6bdec8748101ea0c0321fb323

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