![]() ![]() Finally, a small number of works investigate more complex decision-making based on qualitative, multivariate, and relational information (Platts and Tan 2004). 2014) and performance controlling (Ballard 2020). Second, the potential consequences of visualizations on decision-making are examined in the area of managerial decision support, with a focus on judgments based on quantitative data such as financial decisions (Tang et al. First, the field of financial reporting considers the effect of financial graphs on investor perception (Beattie and Jones 2008 Pennington and Tuttle 2009). Management researchers study visualizations from a business perspective. 2010), as well as information science (Correll and Gleicher 2014). 2014) including financial reporting, strategic management, and controlling, marketing (Hutchinson et al. Hence, the visualization of information is an integral research subject in the domains of cognitive psychology, education (Alfred and Kraemer 2017), management (Tang et al. As Davis ( 1986) points out, image creation and perception are part of the “unique and quintessential competencies of homo sapiens sapiens”. Visual experiences are the dominant sensory input for cognitive reasoning in everyday life, business, and science (Gooding 2006). 2010), and complex sentiment data visualized in a scatterplot improve the accuracy in law enforcement decisions compared to raw data (Cassenti et al. Research shows, for example, that visualized risk data require less cognitive effort in interpretation than textual alternatives and are therefore comprehended more easily (Smerecnik et al. 2018), and the understanding of complex concepts (Wang et al. The visualization of information is associated with effective communication in terms of clarity (Suwa and Tversky 2002), speed (Perdana et al. Visualization design may also intend to promote a specific behavior in the audience (Correll and Gleicher 2014). 2014) to qualitative diagrams (Yildiz and Boehme 2017), to abstract visual metaphors (Eppler and Aeschimann 2009) or artistic imagery. ![]() ![]() This representation can manifest in a range of imagery, from quantitative graphs (Tang et al. 2018) and improve understanding in the audience (Alhadad 2018). The article presents integrative insights based on research spanning multiple domains across the social and information sciences and provides impulses for prospective applications in the realm of managerial decision-making.Ī visualization is defined as a visual representation of information or concepts designed to effectively communicate the content or message (Padilla et al. Several moderators such as user and task characteristics have been investigated as part of this interaction, along with cognitive aspects as mediating processes. The study shows that information visualization can improve decision quality as well as speed, with more mixed effects on other variables, for instance, decision confidence. The purpose of this article is therefore to review, systematize, and integrate extant research on the effects of information visualization on decision-making and to provide a future research agenda with a particular focus on the context of strategic management decisions. Despite the ubiquity of information visualization with modern software, there is little effort to create a comprehensive understanding of the powers and limitations of its use. However, empirical results vary significantly in terms of the variables and mechanisms studied as well as their resulting conclusion. Across social science research, many findings have supported this rationale. The visualization of information is a widely used tool to improve comprehension and, ultimately, decision-making in strategic management decisions as well as in a diverse array of other domains.
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