Document Type

Article

Publication Date

1-1-2016

Abstract

This study explores data interaction as an antecedent for decision-making quality in visual analytic (VA) environments. Literature contends that the presence of accurate, high quality data and good system tools will have a positive impact at the individual and organizational decision-making. But in visual analytic environments, the decision maker's ability and intent to interact with data may be more valuable than the quality of data or tools used. Decision makers in this context are not just acting upon the findings of analysts and interpreting static representations of data. To understand this new phenomenon, we conduct an online survey among nearly 100 senior decision makers working in visual analytic environments. We explored the mediating effect of data interaction on the relationship between individual and organizational decision making given the level of data quality and the use of interactive tools using partial least squares method. Our findings demonstrate the critical role of data interactions in mitigating lesser quality data thereby improving decision quality. In fact, post hoc analysis shows that interacting with data helps discover the latent quality of data.

Keywords

decision making, visualization analytics, information visualization, Weatherhead School of Management, data interaction, information visualization, visual analytics, decision making

Rights

© The Author(s). This is an open access work distributed under the terms of the Creative Commons Attribution-Non-Commercial (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Department/Center

Design & Innovation

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