Event-Driven Business Process Management Enhancing IoT – A Systematic Literature Review and Development of Research Agenda

Christoph Stoiber () and Stefan Schönig ()
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Christoph Stoiber: University of Regensburg
Stefan Schönig: University of Regensburg

A chapter in Innovation Through Information Systems, 2021, pp 645-661 from Springer

Abstract: Abstract The integration of high frequency event data from Internet of Things (IoT) devices into existing complex and mature Business Process Management Systems (BPMS) constitutes a major hurdle for many organizations. Event-Driven Business Process Management (EDBPM) is a paradigm to tackle this hurdle and to lever the enhancement of industrial IoT applications. Existing literature regarding EDBPM and its underlying technologies and methods form a heterogenous set of approaches, frameworks and applications that lacks standardization and maturity. In this context, the literature review of the work at hand conducts a survey about EDBPM focusing on its capabilities to be a lever for the scale of IoT applications. First, we perform an extensive literature research on EDBPM and related topics. Second, a literature analysis and synthesis are presented by summarizing and clustering the discovered publications. Furthermore, a future research agenda is formulated that addresses the main existing research gaps and challenges of EDBPM.

Keywords: Event-Driven Business Process Management; Internet of Things; Complex Event Processing; Event-Driven Architecture (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-86800-0_44

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DOI: 10.1007/978-3-030-86800-0_44

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