迈向数字化企业:人工智能对招聘流程的影响

Karim Amzile, Mohamed Beraich, Imane Amouri, Cheklekbire Malainine
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引用次数: 0

摘要

在本文中,我们为招聘人员提出了一个决策支持工具,以改进他们对此类空缺职位的合适候选人的招聘决策。为此,我们建议使用人工智能(AI)的人工神经网络(ANN)方法,因此我们使用了摩洛哥一家半公开招聘机构的真实数据。然而,对于所采用的方法,我们使用了与数据挖掘相关的方法和技术所选择的过程。因此,在完成建模过程后,我们能够获得一个模型,该模型能够预测接受或拒绝此类空缺候选人的决定。然而,我们获得了一个精度为99%且误差率非常低的模型。然而,我们的研究结果表明,人工智能技术可以为招聘人员提供更好的决策支持工具,同时最大限度地减少处理申请的成本和时间,并最大限度地提高决策的准确性。
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Towards a digital enterprise: the impact of Artificial Intelligence on the hiring process
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.
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来源期刊
CiteScore
2.00
自引率
11.10%
发文量
0
审稿时长
8 weeks
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.
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