Graphical Research Models in the Information Systems Discipline

dc.contributor.author Figl, Kathrin
dc.contributor.author Kiessling, Samuel
dc.contributor.author Miniukovich, Aliaksei
dc.date.accessioned 2020-01-04T08:22:09Z
dc.date.available 2020-01-04T08:22:09Z
dc.date.issued 2020-01-07
dc.description.abstract Graphical models facilitate communicating hypothesized or tested relationships between variables and are welcome in information systems publications. However, insufficient knowledge exists about design conventions for such models, lowering their communicative effectiveness. This paper investigates how graphical research models are used in the information systems literature. Theoretically, the article bears upon the perspective of prototypicality and cognitively effective design of conceptual modeling notations. Based on an analysis of 134 research models from 589 articles in information systems journals, we tentatively demonstrate prototypical features of visual research models and outline many unique graphical variations. We develop a set of hypotheses on how prototypicality influences preferences for research models and their comprehensibility and describe how we intend to test these hypotheses empirically. A broader goal of this research is to develop an effective modeling notation for research models to support researchers in constructing unambiguous visual models for their research.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.700
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64442
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Knowing What We Know: Theory, Meta-analysis, and Review
dc.subject constructs and variables
dc.subject research methods
dc.subject research model
dc.subject standardization
dc.subject visualization
dc.title Graphical Research Models in the Information Systems Discipline
dc.type Conference Paper
dc.type.dcmi Text
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