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Geographical Informational Systems - Applicability In Investments And Banking

Author

Listed:
  • Lect. Gabriela Droj Ph. D

    (University of Oradea Faculty of Architecture and Building Construction Oradea, Romania)

  • Assist. Laurențiu Droj Ph. D Student

    (University of Oradea Faculty of Economics Oradea, Romania)

  • Simona Mutu Ph. D Student

    (Babes-Bolyai University Faculty of Economics and Business Administration Cluj Napoca, Romania)

Abstract

Supported by information systems, the regional or world economy transformed itself in a global economy. Taking fast and optimal decisions is needed for each step an individual or an organization makes in order to support competitiveness in the context of radical evolution of the world economy. When dealing with fundamental decisions, spatial information plays an important role because it allows integration of data from various domains, having multiple connections, as well as their visualization and analysis in a useful, suggestive and efficient manner. Decision support systems (DSS) are spatially based computer applications and data which assists managers in making decisions. Since Geographical Informational Systems technology has a great deal to offer to the mortgage finance industry the goal of this paper is to analyze the main theoretical and practical approaches regarding the role of the geographic location and spatial relationships over the outcomes of the banking, housing and mortgage market.

Suggested Citation

  • Lect. Gabriela Droj Ph. D & Assist. Laurențiu Droj Ph. D Student & Simona Mutu Ph. D Student, 2010. "Geographical Informational Systems - Applicability In Investments And Banking," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(38), pages 1-8, May.
  • Handle: RePEc:aio:aucsse:v:2:y:2010:i:8:p:268-275
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    More about this item

    Keywords

    Investment; Banking; GIS Modeling; Decision Making System; Spatial Analysis;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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