Business Process Optimization in Cross-Company Service Networks: Architecture and Maturity Model

Koetter, Falko; Weisbecker, Anette; Renner, Thomas

doi:10.1109/srii.2012.84

Cited by 8 publications

(7 citation statements)

References 14 publications

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“…Furthermore, Tarhan et al provided a wide overview of existing MMs that are addressing general BPM capabilities [32]. In addition, Koetter et al developed a MM for business process optimization [33].…”

Section: Related Workmentioning

confidence: 99%

Digital Transformation and Improvement of Business Processes with Internet of Things: A Maturity Model for Assessing Readiness

Stoiber¹,

Schönig²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Companies of all industrial sectors are increasingly integrating Internet of Things (IoT) technology into their processes to realize a data-driven transformation of their businesses. The generation and use of comprehensive process data in real-time and the connection of process entities enables an improvement and beneficial redesign of business processes of all kinds. However, a goal-oriented exploitation of IoT technology for digital transformation and Business Process Improvements (BPI) is challenging due to the complexity of integrating IoT into existing processes. Companies require appropriate guidance to evaluate and scope their initiatives regarding IoT-based BPI. We therefore propose a holistic IoT-based BPI Maturity Model that assists organizations to determine their current state and get assistance to optimize or develop specific capabilities. This paper provides an overview about the structured development process of the maturity model comprising an extensive literature review and a six-round Delphi study.

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Section: Related Workmentioning

confidence: 99%

Digital Transformation and Improvement of Business Processes with Internet of Things: A Maturity Model for Assessing Readiness

Stoiber¹,

Schönig²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Intense research efforts concentrate on the application of CEP for monitoring cross-organizational business processes. As a result, various general architectures and concepts have been proposed that try to establish methods for realizing a cross-company BAM (Baouab et al, 2012;Franklin et al, 2012;Janiesch et al, 2011;Koetter et al, 2012;Linden et al, 2010;Roth and Donath, 2012;Schlegel et al, 2012;Wetzstein et al, 2010;Yildiz et al, 2006;Zaplata et al, 2010). However, only a few contributions consider a fully CEP based service orchestration (Yildiz et al, 2006) or at least an automatic adaption of the service composition for replacing problematic components .…”

Section: Synthesizing and Analyzing The Current State Of Researchmentioning

confidence: 99%

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

Krumeich

Weis

Werth

et al. 2014

Business Process Mgmt Journal

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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.

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“…In this section we give a short overview of the aPro approach (see Figure 1) [12]. In order to monitor a process, aPro uses four components: (1) Monitoring stubs and web services are used to collect measurements from application systems, (2) a CEP engine processes these measurements and calculate key performance indicators (KPIs) and goals, the resulting data is stored in a (3) data warehouse.…”

Section: Conceptmentioning

confidence: 99%

“…To resolve this issue, a third measuring point at the end of the process needs to be inserted (see right side). A different scenario (a.2) in Figure 3 deals with the detection of coverage classes for measuring points [12]. On the first glance, all measuring points belong to the same coverage class.…”

Section: Fig 3 Challenges In Modeling Goals Kpis and Parameters Imentioning

confidence: 99%

“…These approaches are usually limited to one workflow technology and are therefore not applicable for distributed systems with different system environments. Therefore, we developed a model-driven approach in order to generate the complete monitoring infrastructure in an overall methodology called architecture for business process optimization (aPro) [12], which uses a format called ProGoalML as a basis. In this paper we will extend the architecture by automatic creation of CEP rules, formal definitions of the transformation algorithm, as well as description of the challenges in creating rules for certain process patterns.…”

Section: Introductionmentioning

confidence: 99%

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A Model-Driven Approach for Event-Based Business Process Monitoring

Koetter

Kochanowski

2013

Business Process Management Workshops

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Today event-driven business process management has matured from a scientific vision to a realizable methodology for companies of all sizes and shapes. However, leveraging the power of complex event processing for supporting business process monitoring is cumbersome because of the complicated modeling of rules and alerts as well as key performance indicators in machine readable format using the event languages. However, using a model-driven approach for generating a monitoring infrastructure based on events like the aPro architecture is one possibility to enable companies with various infrastructures to leverage the advantages of business process monitoring. This paper describes how KPIs are modeled and transferred into event rules by a model-driven approach.

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Business Process Optimization in Cross-Company Service Networks: Architecture and Maturity Model

Cited by 8 publications

References 14 publications

Digital Transformation and Improvement of Business Processes with Internet of Things: A Maturity Model for Assessing Readiness

Digital Transformation and Improvement of Business Processes with Internet of Things: A Maturity Model for Assessing Readiness

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

A Model-Driven Approach for Event-Based Business Process Monitoring

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