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Title: Valuers' receptiveness to the application of artificial intelligence in property valuation
Authors: Abidoye, RB 
Chan, APC 
Keywords: Artificial intelligence
Property valuation
Valuation techniques
Issue Date: 2017
Publisher: Routledge, Taylor & Francis Group
Source: Pacific Rim property research journal, 2017, v. 23, no. 2, p. 175-193 How to cite?
Journal: Pacific Rim property research journal 
Abstract: Studies have shown that the level of valuation inaccuracy in Nigeria is higher than the acceptable international standard. This may be linked to the preference for traditional valuation approaches. This study investigates the readiness of Nigerian valuers to adopt the artificial intelligence (AI) property valuation techniques that have proven to be reliable and accurate in property valuation. A cross-sectional study was conducted via a web-based questionnaire survey to registered estate surveyors and valuers practicing in Nigeria. The collected data were analyzed and presented with descriptive statistics in percentiles and mean score, in addition to the chi-square analysis. The results show that more than half of the respondents are aware of the AI valuation techniques. However, the techniques are not used in practice. The low adoption of the AI techniques is attributed to professional bodies responsible for regulation of real estate practice and tertiary educational institutions in Nigeria, who were not proactive enough to promote their know-how and application. It was found that active collaboration between local professional bodies and similar international organizations on member training and development may improve the usage of the AI techniques. The study highlights the need for a paradigm shift in the Nigerian property valuation practice.
ISSN: 1444-5921
EISSN: 2201-6716
DOI: 10.1080/14445921.2017.1299453
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