Learning Analytics: Professional Fees Equilibrium and Ethics between Estate Surveyors and Valuers and Clients

Iroham, C.O. and Emetere, Moses and Okagbue, H. I. and Oni, A.S and Peter, Nkolika Joy (2020) Learning Analytics: Professional Fees Equilibrium and Ethics between Estate Surveyors and Valuers and Clients. International Journal of Advanced Trends in Computer Science and Engineering, 9 (3). pp. 4103-4112. ISSN 2278-3091

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Abstract

The professional scale of charges for estate surveyors and valuers as published by the regulatory body, the Estate Surveyors and Valuers Registration Board of Nigeria (ESVARBON) is a point of concern. This is because of the arbitrary negotiation, which most often than not have been done by parties concerned with the valuation assignment. Negotiation, which has been regarded as inevitable in dealings, if not curtailed in practice, could lead to incessant flaws of ethics. The study was confined to mortgage valuation as earlier works revealed its preponderance amongst other valuation types. This work aimed at determining an optimum scale of professional charges from a more scientific means using the Artificial Neural Network (ANN) aided from past negotiation between clients and practicing estate surveyors and valuers in the study area. The determination of equilibrium was more transient, particularly as the value of properties increases. The result derived will serve as a policy statement for the profession of estate surveying and valuation in charting a better course for practice.

Item Type:	Article
Uncontrolled Keywords:	Artificial Neural Networks, Ethics, Learning Analytics, Mortgage Valuation, Negotiation, Nigeria, Professional Fees
Subjects:	T Technology > TD Environmental technology. Sanitary engineering
Divisions:	Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment
Depositing User:	Mrs Patricia Nwokealisi
Date Deposited:	11 Sep 2020 16:12
Last Modified:	11 Sep 2020 16:12
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/13593

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