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DOI: 10.14569/IJACSA.2019.0100901
PDF

Artificial Intelligence Chatbots are New Recruiters

Author 1: Nishad Nawaz
Author 2: Anjali Mary Gomes

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 9, 2019.

  • Abstract and Keywords
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Abstract: The purpose of the paper is to assess the artificial intelligence chatbots influence on recruitment process. The authors explore how chatbots offered service delivery to attract and candidates engagement in the recruitment process. The aim of the study is to identify chatbots impact across the recruitment process. The study is completely based on secondary sources like conceptual papers, peer reviewed articles, websites are used to present the current paper. The paper found that artificial intelligence chatbots are very productive tools in recruitment process and it will be helpful in preparing recruitment strategy for the Industry. Additionally, it focuses more on to resolve complex issues in the process of recruitment. Through the amalgamation of artificial intelligence recruitment process is increasing attention among the researchers still there is opportunity to explore in the field. The paper provided future research avenues in the field of chatbots and recruiters.

Keywords: Artificial intelligence; chatbots; recruitment process; candidates experiences; employer branding tool; recruitment industry

Nishad Nawaz and Anjali Mary Gomes. “Artificial Intelligence Chatbots are New Recruiters”. International Journal of Advanced Computer Science and Applications (IJACSA) 10.9 (2019). http://dx.doi.org/10.14569/IJACSA.2019.0100901

@article{Nawaz2019,
title = {Artificial Intelligence Chatbots are New Recruiters},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100901},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100901},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {9},
author = {Nishad Nawaz and Anjali Mary Gomes}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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