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Business Process Model and Notation

About: Business Process Model and Notation is a research topic. Over the lifetime, 9038 publications have been published within this topic receiving 190712 citations. The topic is also known as: Business Process Modeling Notation & BPMN.


Papers
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Journal ArticleDOI
01 Feb 2009
TL;DR: This paper proposes an extension of Event-driven Process Chains, called the aggregate EPC (aEPC), which can be used to describe a set of similar processes with a single model, by doing so, the number of process models that must be managed can be decreased.
Abstract: Contemporary organizations invest much efforts in creating models of their business processes. This raises the issue of how to deal with large sets of process models that become available over time. This paper proposes an extension of Event-driven Process Chains, called the aggregate EPC (aEPC), which can be used to describe a set of similar processes with a single model. By doing so, the number of process models that must be managed can be decreased. But at the same time, the process logic for each specific element of the set over which aggregation takes place can still be distinguished. The presented approach is supported as an add-on to the ARIS modeling tool box. To show the feasibility and effectiveness of the approach, we discuss its practical application in the context of a large financial organization.

107 citations

Journal ArticleDOI
TL;DR: An event based analysis strategy developed to study processes in business networks is introduced, enabling the researcher to trace and understand processes beyond mere structural change, and to capture their evolution in a multilayered network context.

107 citations

Book
17 Nov 2014
TL;DR: This book introduces the reader to the novel OMG standard Interaction Flow Modeling Language (IFML) and explains the main concepts of the language step-by-step, with many practical examples and an end-to-end case example.
Abstract: Interaction Flow Modeling Language describes how to apply model-driven techniques to the problem of designing the front end of software applications, i.e., the user interaction. The book introduces the reader to the novel OMG standard Interaction Flow Modeling Language (IFML). Authors Marco Brambilla and Piero Fraternali are authors of the IFML standard and wrote this book to explain the main concepts of the language. They effectively illustrate how IFML can be applied in practice to the specification and implementation of complex web and mobile applications, featuring rich interactive interfaces, both browser based and native, client side components and widgets, and connections to data sources, business logic components and services. Interaction Flow Modeling Language provides you with unique insight into the benefits of engineering web and mobile applications with an agile model driven approach. Concepts are explained through intuitive examples, drawn from real-world applications. The authors accompany you in the voyage from visual specifications of requirements to design and code production. The book distills more than twenty years of practice and provides a mix of methodological principles and concrete and immediately applicable techniques. Learn OMGs new IFML standard from the authors of the standard with this approachable reference Introduces IFML concepts step-by-step, with many practical examples and an end-to-end case example Shows how to integrate IFML with other OMG standards including UML, BPMN, CWM, SoaML and SysML Discusses how to map models into code for a variety of web and mobile platforms and includes many useful interface modeling patterns and best practices

107 citations

Posted Content
TL;DR: A study which provides a series of implications that may be particularly helpful to companies already leveraging ‘big data’ for their businesses or planning to do so and the key findings presumably also apply to established organisations to a large extent.
Abstract: Why this paper might be of interest to Alliance Partners: This paper reports a study which provides a series of implications that may be particularly helpful to companies already leveraging ‘big data’ for their businesses or planning to do so. The Data Driven Business Model (DDBM) framework represents a basis for the analysis and clustering of business models. For practitioners the dimensions and various features may provide guidance on possibilities to form a business model for their specific venture. The framework allows identification and assessment of available potential data sources that can be used in a new DDBM. It also provides comprehensive sets of potential key activities as well as revenue models. The identified business model types can serve as both inspiration and blueprint for companies considering creating new data-driven business models. Although the focus of this paper was on business models in the start-up world, the key findings presumably also apply to established organisations to a large extent. The DDBM can potentially be used and tested by established organisations across different sectors in future research.

106 citations

01 Jan 2006
TL;DR: A number of simulation tools that are relevant for the BPM field are discussed, their applicability for BPS is evaluated, and recommendations for further research are formulated.
Abstract: In the nineties, more and more attention was raised for process oriented analysis of the performance of companies. Nowadays, many process aware information systems are implemented (e.g., workflow management systems) and business processes are evaluated and redesigned. The discipline related to this field of study is called Business Process Management (BPM). An important part of the evaluation of designed and redesigned business processes is Business Process Simulation (BPS). Although an abundance of simulation tools exist, the applicability of these tools is diverse. In this paper we discuss a number of simulation tools that are relevant for the BPM field, we evaluate their applicability for BPS and formulate recommendations for further research.

106 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202383
2022208
2021122
2020164
2019211
2018242