An Empirical Review of the Connection Between Model Viewer Characteristics and the Comprehension of Conceptual Process Models
Jan Mendling (),
Jan Recker (),
Hajo A. Reijers () and
Henrik Leopold ()
Additional contact information
Jan Mendling: Wirtschaftsuniversität Wien
Jan Recker: University of Cologne
Hajo A. Reijers: Vrije Universiteit Amsterdam
Henrik Leopold: Vrije Universiteit Amsterdam
Information Systems Frontiers, 2019, vol. 21, issue 5, No 9, 1135 pages
Abstract:
Abstract Understanding conceptual models of business domains is a key skill for practitioners tasked with systems analysis and design. Research in this field predominantly uses experiments with specific user proxy cohorts to examine factors that explain how well different types of conceptual models can be comprehended by model viewers. However, the results from these studies are difficult to compare. One key difficulty rests in the unsystematic and fluctuating consideration of model viewer characteristics (MVCs) to date. In this paper, we review MVCs used in prominent prior studies on conceptual model comprehension. We then design an empirical review of the influence of MVCS through a global, cross-sectional experimental study in which over 500 student and practitioner users were asked to answer comprehension questions about a prominent type of conceptual model - BPMN process models. As an experimental treatment, we used good versus bad layout in order to increase the variance of performance. Our results show MVC to be a multi-dimensional construct. Moreover, process model comprehension is related in different ways to different traits of the MVC construct. Based on these findings, we offer guidance for experimental designs in this area of research and provide implications for the study of MVCs.
Keywords: Process modeling; Model viewer characteristics; Experiment; Conceptual modeling; Literature review; BPMN (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s10796-017-9823-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:21:y:2019:i:5:d:10.1007_s10796-017-9823-6
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796
DOI: 10.1007/s10796-017-9823-6
Access Statistics for this article
Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao
More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().