Issue |
SHS Web Conf.
Volume 116, 2021
10th Annual International Conference “Schumpeterian Readings” (ICSR 2021)
|
|
---|---|---|
Article Number | 00057 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/shsconf/202111600057 | |
Published online | 30 July 2021 |
Banking front-line personnel assessment by fuzzy logic approaches
1 Kalashnikov Izhevsk State Technical University, Institute of Digital Economy, 7, bld. 1, Studentcheskaya str., Izhevsk, 426069, Russia
2 PJS Company BystroBank, 18, Krasnogeroiska str., Izhevsk, 426008, Russia
* Corresponding author: vpk1973@yandex.ru
The article is dedicated to the qualitative assessment of banking personnel and the interpretation of the results with a developed fuzzy logic expert system. The authors proposed to evaluate human resources based on the Company Loyalty, Customer Service Quality and Intra-Corporate Communication which are linguistic terms for personnel to be assessed. To interpret the results of the received staff assessment, a fuzzy expert system was developed which enables the Business Efficiency of Personnel to be estimated. The expert system was tested at the front-line office of the regional bank. Regression and correlation analysis revealed high correlations between the Business Efficiency of Personnel and the quantitative results of employees. The practical relevance of the research is conditioned by the growing need to assess credit managers during the trial period or at the introduction of new products, while quantitative indicators are absent. The methods used for research comprise survey, ranking of the factors and factor analysis.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.