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Artifact-driven business process mon...

Meroni, Giovanni.

Artifact-driven business process monitoringa novel approach to transparently monitor business processes, supported by methods, tools, and real-world applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artifact-driven business process monitoringby Giovanni Meroni.
Reminder of title:	a novel approach to transparently monitor business processes, supported by methods, tools, and real-world applications /
Author:	Meroni, Giovanni.
Published:	Cham :Springer International Publishing :2019.
Description:	xiii, 161 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	BusinessData processing.
Online resource:	https://doi.org/10.1007/978-3-030-32412-4
ISBN:	9783030324124$q(electronic bk.)

Artifact-driven business process monitoringa novel approach to transparently monitor business processes, supported by methods, tools, and real-world applications /
Meroni, Giovanni.

Artifact-driven business process monitoringa novel approach to transparently monitor business processes, supported by methods, tools, and real-world applications /[electronic resource] :by Giovanni Meroni. - Cham :Springer International Publishing :2019. - xiii, 161 p. :ill., digital ;24 cm. - Lecture notes in business information processing,3681865-1348 ;. - Lecture notes in business information processing ;96..

This book proposes a novel technique, named artifact-driven process monitoring, by which multi-party processes, involving non-automated activities, can be continuously and autonomously monitored. This technique exploits the Internet of Things (IoT) paradigm to make the physical objects, participating in a process, smart. Being equipped with sensors, a computing device, and a communication interface, such smart objects can then become self-aware of their own conditions and of the process they participate in, and exchange this information with the other smart objects and the involved organizations. To allow organizations to reuse preexisting process models, a method to instruct smart objects given Business Process Model and Notation (BPMN) collaboration diagrams is also presented. The work constitutes a revised version of the PhD dissertation written by the author at the PhD School of Information Engineering of Politecnico di Milano, Italy. In 2019, the PhD dissertation won the "CAiSE PhD award", granted to outstanding PhD theses in the field of Information Systems Engineering.

ISBN: 9783030324124$q(electronic bk.)

Standard No.: 10.1007/978-3-030-32412-4doiSubjects--Topical Terms:

199085
Business
--Data processing.

LC Class. No.: HF5548.2 / .M47 2019

Dewey Class. No.: 658.05

Artifact-driven business process monitoringa novel approach to transparently monitor business processes, supported by methods, tools, and real-world applications /
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