Quotation Mendling, Jan, Toralles Avila, Diego, dos Santos, Rubens Ideron, Thom, Lucineia Heloisa. 2021. A systematic literature review of process modeling guidelines and their empirical support. Business Process Management Journal. 27 (1), 1-23.


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Abstract

Purpose Process modeling guidelines are a valuable instrument for increasing the quality of process models. Since finding and selecting suitable guidelines are challenging, this paper aims to find and select suitable guidelines because they are scattered across the many studies of the literature. Also, not all of them are supported by empirical studies. Design/methodology/approach The authors conducted a systematic literature review to collect and analyze process modeling guidelines present in the literature and the empirical evidence that supports them. Findings The authors investigated a total of 793 articles and identified a total of 45 process modeling guidelines in five different categories. For each of these guidelines, the authors report empirical evidence together with corresponding measures, such as comprehension accuracy and error probability. Originality/value Compared to the prior literature reviews on process model quality and process modeling guidelines, this article extends current knowledge by analyzing the empirical evidence and variables associated with each guideline. This analysis provides guidance for practitioners and scholars on which guidelines to use while modeling a process and perform further research on.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Business Process Management Journal
Citation Index SSCI
WU-Journal-Rating new STRAT-C
Language English
Title A systematic literature review of process modeling guidelines and their empirical support.
Volume 27
Number 1
Year 2021
Page from 1
Page to 23
URL https://www.emerald.com/insight/content/doi/10.1108/BPMJ-10-2019-0407/full/html
DOI http://dx.doi.org/10.1108/BPMJ-10-2019-0407
Open Access N

Associations

People
Mendling, Jan (Details)
External
dos Santos, Rubens Ideron (Federal University of Rio Grande do Sul, Brazil)
Thom, Lucineia Heloisa (Federal University of Rio Grande do Sul, Brazil)
Toralles Avila, Diego (Federal University of Rio Grande do Sul, Brazil)
Organization
Institute for Data, Process and Knowledge Management IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
5367 Management information systems (Details)
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