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The publication can be exported in the following formats: APA (American Psychological Association) reference format, IEEE (Institute of Electrical and Electronics Engineers) reference format, BibTeX and RIS.

Export Reference (APA) 
Costa, C. & Aparicio, M. (2019). Supporting the decision on dashboard design charts. In Proceedings of 254th The IIER International Conference. S. Petersburg
Export Reference (IEEE) 
C. M. Costa and M. M. Costa,  "Supporting the decision on dashboard design charts", in Proc. of 254th The IIER Int. Conf., S. Petersburg, 2019
Export BibTeX 
@inproceedings{costa2019_1764933834624,
	author = "Costa, C. and Aparicio, M.",
	title = "Supporting the decision on dashboard design charts",
	booktitle = "Proceedings of 254th The IIER International Conference",
	year = "2019",
	editor = "",
	volume = "",
	number = "",
	series = "",
	publisher = "",
	address = "S. Petersburg",
	organization = ""
}
Export RIS 
TY  - CPAPER
TI  - Supporting the decision on dashboard design charts
T2  - Proceedings of 254th The IIER International Conference
AU  - Costa, C.
AU  - Aparicio, M.
PY  - 2019
CY  - S. Petersburg
AB  - Different decisions types need differentiation of information presentation; management requires adequate tools for the decision-making process. Business value insights are improved with better information visualization, therefore improving decision making. In this study, it presented a theoretical review based on three main areas: management, reporting, and visualization. Upon this theory review, we identify the primary dimension. Those dimensions are used to embody decisions that maybe incorporate in a decision tree. This decision tree may be helpful in the choice of adequate data visualization form managerial dashboards. For future works, we suggest conducting an empirical work that uses this decision tree to understand the impacts on its usage on management context better.
ER  -