{"title":"Towards a digital enterprise: the impact of Artificial Intelligence on the hiring process","authors":"Karim Amzile, Mohamed Beraich, Imane Amouri, Cheklekbire Malainine","doi":"10.37380/jisib.v12i3.894","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a decision support tool for recruiters to improve their hiring decisions of suitable candidates for such a vacancy post. For this purpose, we proposed the use of the Artificial Neural Network (ANN) method from Artificial Intelligence (AI), thus we used real data from a semi-public recruitment agency in Morocco. However, for the adopted methodology, we used the process opted by the methods and techniques related to Data Mining. \nAs a result, after completing the modelling process, we were able to obtain a model capable of predicting the decision to accept or reject such a candidate for such a vacancy. However, we obtained a model with an accuracy of 99% as well as with a very low error rate. \nHowever, our results show that Artificial Intelligence techniques can provide a better decision support tool for recruiters while minimising the cost and time of processing applications and maximising the accuracy of the decisions made.","PeriodicalId":43580,"journal":{"name":"Journal of Intelligence Studies in Business","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Intelligence Studies in Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37380/jisib.v12i3.894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we proposed a decision support tool for recruiters to improve their hiring decisions of suitable candidates for such a vacancy post. For this purpose, we proposed the use of the Artificial Neural Network (ANN) method from Artificial Intelligence (AI), thus we used real data from a semi-public recruitment agency in Morocco. However, for the adopted methodology, we used the process opted by the methods and techniques related to Data Mining.
As a result, after completing the modelling process, we were able to obtain a model capable of predicting the decision to accept or reject such a candidate for such a vacancy. However, we obtained a model with an accuracy of 99% as well as with a very low error rate.
However, our results show that Artificial Intelligence techniques can provide a better decision support tool for recruiters while minimising the cost and time of processing applications and maximising the accuracy of the decisions made.
期刊介绍:
The Journal of Intelligence Studies in Business (JISIB) is a double blinded peer reviewed open access journal published by Halmstad University, Sweden. Its mission is to help facilitate and publish original research, conference proceedings and book reviews. The journal includes articles within areas such as Competitive Intelligence, Business Intelligence, Market Intelligence, Scientific and Technical Intelligence, Collective Intelligence and Geo-economics. This means that the journal has a managerial as well as an applied technical side (Information Systems), as these are now well integrated in real life Business Intelligence solutions. By focusing on business applications the journal do not compete directly with journals of Library Sciences or State or Military Intelligence Studies. Topics within the selected study areas should show clear practical implications.