Visualization in Operations Management Research
INFORMS Journal on Data Science
30 Pages Posted: 27 Jul 2020 Last revised: 30 Aug 2021
Date Written: August 30, 2021
Abstract
The unprecedented availability of data, along with the growing variety of software packages to visualize it, presents both opportunities and challenges for operations management (OM) research. OM researchers typically use data to describe conditions, predict phenomena, or make prescriptions depending on whether they are building, testing, or translating theories to practice. Visualization, when used appropriately, can complement, aid, and augment the researcher’s understanding in the different stages of research (theory building, testing or translating and conveying results). On the other hand, if used incorrectly or without sufficient consideration, visualization can yield misleading and erroneous claims. This article formally examines the benefits of visualization as a complementary method enhancing each stage of a broader OM research strategy by examining frameworks and cases from extant research in different OM contexts. Our discussion offers guidance with regard to researchers’ use of visual data renderings, particularly towards avoiding misrepresentation which can arise with the incorrect use of visualization. We close with a consideration of emerging trends and their implications for researchers and practitioners, as well as recommendations for both authors and reviewers, regardless of domain, in evaluating the effectiveness of visuals at each stage of research.
Keywords: Data Visualization, Operations Management, Methods
JEL Classification: M11, C
Suggested Citation: Suggested Citation