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Process modeling

About: Process modeling is a research topic. Over the lifetime, 11639 publications have been published within this topic receiving 223996 citations. The topic is also known as: process simulation.


Papers
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Book ChapterDOI
07 Sep 2009
TL;DR: This research investigates how the processes are elicited in visualized business process models to understand how knowledge about working procedures in organizations is communicated.
Abstract: Visualized business process models are the central artifacts to communicate knowledge about working procedures in organizations. Since more organizations take the process perspective to share knowledge and make decisions, it is worth investigating how the processes are elicited.

57 citations

Journal ArticleDOI
TL;DR: In this paper, the authors identify important user characteristics that influence the comprehension of process models and identify a set of organizational intervention strategies that can lead to more successful process modeling workshops based on their findings.
Abstract: Process models are used to convey semantics about business operations that are to be supported by an information system. A wide variety of professionals is targeted to use such models, including people who have little modeling or domain expertise. We identify important user characteristics that influence the comprehension of process models. Through a free simulation experiment, we provide evidence that selected cognitive abilities, learning style, and learning strategy influence the development of process model comprehension. These insights draw attention to the importance of research that views process model comprehension as an emergent learning process rather than as an attribute of the models as objects. Based on our findings, we identify a set of organizational intervention strategies that can lead to more successful process modeling workshops.

57 citations

Journal ArticleDOI
TL;DR: A web-based business process evaluation model based on BSC and fuzzy AHP and it provides impartial and reasonable results to enterprises or concerned persons that have insufficient experience and knowledge about BPM.
Abstract: Research highlights? We describe a business process evaluation model for BPM. ? A web-based business process evaluation system is also implemented. ? We demonstrate the applicability of fuzzy AHP and BSC in business process evaluation. Currently, BPM is considered as the suitable framework for today's process-centric trends and BPM may result in considerable rewards for companies adopting it. For successful BPM initiative, the selection of suitable processes for BPM is very important. However, it is difficult to evaluate systematically and reasonably business processes for enterprises that plan to introduce BPM. This paper describes a web-based business process evaluation model based on BSC and fuzzy AHP for BPM. A web-based business process evaluation system was implemented and it provides impartial and reasonable results to enterprises or concerned persons that have insufficient experience and knowledge about BPM. Thus, this paper demonstrates the applicability of fuzzy AHP and BSC concepts in business process evaluation and selection for BPM, and provides a systemic guidance in the decision-making process.

57 citations

Journal ArticleDOI
TL;DR: A generally applicable, object-oriented, simulation-based decision support system GEPSIS is introduced which is specifically developed for the improvement of business processes.

57 citations

Book ChapterDOI
03 Sep 2012
TL;DR: In this article, the authors examined how modeling behavior relates to the quality of the process model that emerges from that, including whether a modeler's structured modeling style, the frequency of moving existing objects over the modeling canvas, and overall modeling speed is in any way connected to the ease with which the resulting process model can be understood.
Abstract: In an investigation into the process of process modeling, we examined how modeling behavior relates to the quality of the process model that emerges from that. Specifically, we considered whether (i) a modeler's structured modeling style, (ii) the frequency of moving existing objects over the modeling canvas, and (iii) the overall modeling speed is in any way connected to the ease with which the resulting process model can be understood. In this paper, we describe the exploratory study to build these three conjectures, clarify the experimental set-up and infrastructure that was used to collect data, and explain the used metrics for the various concepts to test the conjectures empirically. We discuss various implications for research and practice from the conjectures, all of which were confirmed by the experiment.

57 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202359
2022184
2021254
2020327
2019368
2018395