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Axioms 2014, 3(1), 10-30; doi:10.3390/axioms3010010
Review

Business Decision-Making Using Geospatial Data: A Research Framework and Literature Review

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University of Colorado Denver, Business School, 1475 Lawrence St., Denver, CO 80202, USA
* Author to whom correspondence should be addressed.
Received: 19 October 2013 / Revised: 26 November 2013 / Accepted: 17 December 2013 / Published: 23 December 2013
(This article belongs to the Special Issue Axioms of Decision Support System)
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Abstract

Organizations that leverage their increasing volume of geospatial data have the potential to enhance their strategic and organizational decisions. However, literature describing the best techniques to make decisions using geospatial data and the best approaches to take advantage of geospatial data’s unique visualization capabilities is limited. This paper reviews the use of geospatial visualization and its effects on decision performance, which is one of the many components of decision-making when using geospatial data. Additionally, this paper proposes a comprehensive model allowing researchers to better understand decision-making using geospatial data and provides a robust foundation for future research. Finally, this paper makes an argument for further research of information-presentation, task-characteristics, user-characteristics and their effects on decision-performance when utilizing geospatial data.
Keywords: spatial decision support systems; geospatial data; information presentation; decision-performance; task-characteristics; user-characteristics spatial decision support systems; geospatial data; information presentation; decision-performance; task-characteristics; user-characteristics
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Erskine, M.A.; Gregg, D.G.; Karimi, J.; Scott, J.E. Business Decision-Making Using Geospatial Data: A Research Framework and Literature Review. Axioms 2014, 3, 10-30.

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