Towards a digital enterprise: the impact of Artificial Intelligence on the hiring process

Authors

  • Karim AMZILE FSJES-Agdal-UM5-Rabat
  • Mohamed BERAICH
  • Imane AMOURI
  • Cheklekbire MALAININE

DOI:

https://doi.org/10.37380/jisib.v12i3.894

Keywords:

Artificial Neural Network , Human resources, Artificial Intelligence, Digital Enterprise, Recruitment

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.

References

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Dana Pessach, Gonen Singer, Dan Avrahami, Hila Chalutz Ben-Gal, Erez Shmueli, Irad Ben-Gal, "Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming", Decision Support Systems 134, 2020.

Josh Tullier, "The Use of Artificial Intelligence to Recruit Employees", Citations Journal of Undergraduate Research, Volume 18, 2021.

Linkai Qi a, Kai Yao, "Artificial Intelligence enterprise human resource management system based on FPGA high performance computer hardware", Microprocessors and Microsystems 82, 2021.

S. Singh and V. Kumar, "Analysis of engineering students' performance for recruitment using classification data mining techniques", International Journal of Computer Science, Engineering and Technology, vol. 3, no. 2, p. 31, 2013.

Samrat Singh, Dr. Vikesh Kumar, "Performance Analysis of Engineering Students for Recruitment Using Classification Data Mining Techniques", Samrat Singh et al | IJCSET |February 2013 | Vol 3, Issue 2, 31-37.

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Published

2023-03-09

Issue

Vol. 12 No. 3 (2022): Journal of Intelligence Studies in Business

Section

Article

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