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An Assessment of Factors that lead to the Non-Application of GIS Infused Automatic Valuation Models in Property Valuation in Gaborone

Author

Listed:
  • Johnson Kampamba
  • Masego Meriam Ratlou

Abstract

Purpose: Geographical information systems (GIS) is widely applied in valuing property using computer assisted mass appraisal (CAMA) or automated valuation models (AMV). However, the use of GIS infused AVMs in Botswana is limited. This has led to long turnaround time as most valuations are done manually and using traditional valuation methods. The purpose of this research was to assess the factors that lead to the lack of application of GIS infused automated valuation models in property valuation in Gaborone.Methodology: For this study, both secondary and primary data were utilised. The primary data was collected through the use of a questionnaire which was distributed to various Property Valuers. The secondary data was retrieved from journals, articles as well books. Analysis of data was done using software packages like SPSS. These packages were used later on to present the findings in charts and graphs for easy comprehension of the data by readers.Findings: The findings show that the variables that have an impact on the lack of usage of GIS infused AVMs include lack of computerized models of valuation, high costs of computer software and hardware, lack of infusion of GIS in school curriculum, lack of interest in GIS as well as fear of change from traditional valuation approaches among others. However the findings reveal that the economic factors are the ones with great impact on the lack of usage of GIS infused AVMs during property valuation in Gaborone.Practical Implication: This research bridges the knowledge gap of the subject matter by availing issues pertaining to the lack of application of GIS infused AVMs in property valuation in Botswana.

Suggested Citation

  • Johnson Kampamba & Masego Meriam Ratlou, 2021. "An Assessment of Factors that lead to the Non-Application of GIS Infused Automatic Valuation Models in Property Valuation in Gaborone," AfRES 2021-030, African Real Estate Society (AfRES).
  • Handle: RePEc:afr:wpaper:2021-030
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    Keywords

    Automated Valuation Models; Botswana; Gaborone; Geographical Information Systems; Property Valuation;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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