Event-Driven Business Process Management: where are we now?

Abstract

Purpose – The business operations of today's enterprises are heavily influenced by numerous of internal and external business events. With the Event Driven Architecture and particularly the Complex Event Processing (CEP), the technology required for identifying complex correlations in these large amounts of event data right after its appearance has already emerged. The resulting gain in operational transparency builds the foundation for (near) real-time reactions. This motivated extensive research activities especially in the field of Business Process Management (BPM), which essentially coined the term Event-Driven BPM (EDBPM). Now, several years after the advent of this new concept, the purpose of this paper is to shed light to the question: where are we now on our way towards a sophisticated adoption of the CEP technology within BPM? Design/methodology/approach – The research methodology of this paper is a structured literature analysis. It basically follows the procedure proposed by vom Brocke et al. (2009). This verified five-step process – entitled “Reconstructing the giant” – allowed a rigorous study. As a result, various research clusters were derived, whose state-of-the-art exposed existing research gaps within EDBPM. Findings – First of all, the paper provides a concise conceptual basis on different application possibilities of EDBPM. Afterwards, it synthesizes current research into six clusters and highlights most significant work within them. Finally, a research agenda is proposed to tackle existing research gaps to pave the way towards fully realizing the potentials of the paradigm. Originality/value – So far, a comparable study of the current state-of-the-art within EDBPM is non-existent. The findings of this paper, e.g. the proposed research agenda, help scholars to focus their research efforts on specific aspects that need to be considered in order to advance the adoption of the CEP technology within BPM.

Sustaining interoperability of networked liquid-sensing enterprises: A complex systems perspective

“…As described previously, this event triggers the whole adaptive system loop and needs to be timely detected to ensure a fast reaction. For this, several types of monitoring techniques have been considered from SOA-based (Baresi, Guinea, & Plebani, 2006;Psiuk, Bujok, & Zieliń ski, 2012), to agent-based (Newman, Legrand, Galvez, Voicu, & Cirstoiu, 2003), and eventbased (Krumeich, Weis, Werth, & Loos, 2014).…”

Event-based failure prediction in distributed business processes

“…The usage of events in BPM has gained some attention in recent years, with a focus on fields like complex event processing (CEP) for business processes, business process intelligence (BPI), and business activity monitoring (BAM) [54,55]. Some work has been done in the area of failure prediction and fault tolerance, as will be discussed in more detail below 13 .…”

Challenges and Architectural Approaches for Automotive PLM in Multi-Brand Organisations - A Discussion Paper

“…While CEP is an area of active research (see e.g., (Krumeich et al, 2014;Flouris et al, 2016;Soffer et al, 2017;Dayarathna and Perera, 2018)), its standardization concerning definitions, data formats and interfaces is still at an early stage. While current research findings indicate that the event processing industry will continue to have a significant growth over the next decade (Dayarathna and Perera, 2018), it is important to gain industry-related and domain-specific experiences, especially with a larger number of heterogeneous sources of information (Krumeich et al, 2014). Most of the recent studies did not cover issues that arise in largely or any distributed settings, for example in parallel processing or geographically dispersed sites (Flouris et al, 2016).…”

“…Most of the recent studies did not cover issues that arise in largely or any distributed settings, for example in parallel processing or geographically dispersed sites (Flouris et al, 2016). Furthermore standardization of interfaces, event formats and processing languages is an important factor (Krumeich et al, 2014). Other research presents current use of EP and CEP, in particular.…”

“…As a technological vehicle to implement our approach, we use CEP, a software technology first defined by (Luckham, 2002). EDA is an essential concept for CEP (Krumeich et al, 2014) and has proven well-suited for asynchronous work and information flows (Michelson, 2006); dealing with the process asynchronism is a key advantage of using CEP along the product development. Furthermore, CEP systems are capable of handling large amounts of data, enabling processing such data, i. e. events, in near real-time and recognize relevant situations as they occur (Flouris et al, 2016).…”