WSEAS Transactions on Business and Economics


Print ISSN: 1109-9526
E-ISSN: 2224-2899

Volume 14, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 14, 2017


Knowledge Management in Geospatial Information Context. A Preliminary Statistical Approach - A Case Study

AUTHORS: M. Filomena Teodoro, Anacleto Correia, Paulo Nunes

Download as PDF

ABSTRACT: Information is a determinant subject in modern organization operations. The success of joint and combined operations with organizations partners depends on the accurate information and knowledge flow concerning the operations theatre: provision of resources, environment evolution, markets location, where and when an event occurred. As in the past and nowadays we cannot conceive modern operations without maps and geo-spatial information (GI). Information and knowledge management is fundamental to the success of organizational decisions in an uncertainty environment. The georeferenced information management is a process of knowledge management, it begins in the raw data and ends on generating knowledge. GI and intelligence systems allow us to integrate all other forms of intelligence and can be a main platform to process and display geo-spatial-time referenced events. Combining explicit knowledge with peoples know-how to generate a continuous learning cycle that supports real time decisions mitigates the influences of fog of everyday competition and provides the knowledge supremacy. Geo-spatial information and intelligence systems allow us to integrate all other forms of intelligence and act as a main platform to process and display geo-spatial-time referenced events. Combining explicit knowledge with person know-how to generate a continuous learning cycle that supports real time decisions, mitigates the influences of fog of war and provides the knowledge supremacy. These investigation describes the analysis done after the construction and application of a questionnaire and interviews about the GI and intelligence management in a military organization. The study intended to identify the stakeholders requirements for a military spatial data infrastructure as well as the requirements for a future software system development.

KEYWORDS: Geographic Information System, Information and Knowledge Management, Geospatial Information, Geospatial Intelligence, Service Oriented Architecture

REFERENCES:

[1] T.W. Anderson, An Introduction to Multivariate Analysis, Jonh Wiley & Sons, New York, 2003.

[2] D. Child, The Essentials of Factor Analysis, Continuum International Pub. Group, New York, 2006.

[3] J.F. Hair, R.E. Anderson, R.L. Tatham, W.C. BLACK, Multivariate Data Analysis, 4 th ed., Prentice Hall, New Jersey, 1998.

[4] H.H. Harman, Modern Factor Analysis, Univ. of Chicago Press, Chicago, IL., 1976.

[5] J. Marco, Analise Estat ´ ´ıstica com o SPSS Statistics, ReportNumber, Pero Pinheiro, 2014. ˆ

[6] New Zeland Spatial Office, Spatial Data Infrastructure Cookbook, Global Spatial Data Infrastructure Association, Melbourne, 2012.

[cited 2016 november] Available from: http://gsdiassociation.org/ images/publications/cookbooks/SDI_ Cookbook_from_Wiki_2012_update.pdf.

[7] A. Mood, Introduction to the theory of Statistics, McGraw-Hill Inc., Auckland, 1984.

[8] P.A. Nunes, Gestao da informac ˜ ao e conhec- ˜ imento - desafios para a marinha: processos de recolha, analise, gest ´ ao e transfer ˜ encia de ˆ inteligencia geoespacial ˆ , Monography, Instituto Universitario Militar, 2016. ´

[9] P.A. Nunes, A. Correia, and M.F. Teodoro, Information Gathering, Management and Transfering for Geospatial Inteligence, in ICNAAM 2016, AIP Conference Proceedings, edited by T. Simos et al., American Institute of Physics, Melville, NY, (in press).

[10] S. Sharma, Apllied multivariate techniques, John Wiley & Sons, New York, 1996.

[11] A.C. Tamhane and D.D. Dunlop, Statistics and Data Analysis: from Elementary to Intermediate, Prentice Hall, New Jersey, 2000.

[12] F. Tsui, Managing Software Projects, Jones and Bartlett Publishers, Inc., Burlington, MA, 2004.

[13] A.G. Young and S. Pearce, A Beginners Guide to Factor Analysis: Focusing on Exploratory Factor Analysis, Tutorials in Quantitative Methods in Psychology 9(2), 2013, pp. 79-94.

[14] Y.Yue and M. Henshaw, An holistic view of UK military capability development, Defense and Security Analysis 25(1), 2009, pp. 53–67.

WSEAS Transactions on Business and Economics, ISSN / E-ISSN: 1109-9526 / 2224-2899, Volume 13, 2016, Art. #8, pp. 74-80


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0