Register Login

Journal of Computational Social Dynamics

Search
PDF

Published

2021-08-19

Issue

Vol. 6 No. 3 (2021): Journal of Computational Social Dynamics-3rd-Q

Section

Articles

How to Cite

Reddy Yanamala, K. K. (2021). Comparative Evaluation of AI-Driven Recruitment Tools Across Industries and Job Types. Journal of Computational Social Dynamics, 6(3), 58–70. Retrieved from https://vectoral.org/index.php/JCSD/article/view/130

Comparative Evaluation of AI-Driven Recruitment Tools Across Industries and Job Types

Kiran Kumar Reddy Yanamala

Central Michigan University

Keywords: AI-Driven Recruitment, recruitment encompasses, MCDM methods, Artificial Intelligence, AI-based candidate

Abstract

This study conducts a comprehensive comparative analysis of several AI-based candidate selection methodologies, including CRITIC-WASPAS, TOPSIS, and PROMETHEE, to provide organizations with actionable insights for optimizing their recruitment processes. As AI continues to transform traditional recruitment methods, the choice of an appropriate AI-based tool is crucial for achieving desired outcomes in terms of selection accuracy, time efficiency, and fairness. The study evaluates these methodologies across different industries—technology, healthcare, finance, and creative sectors—as well as various job types, including technical, managerial, and creative roles. By systematically comparing key performance metrics, the study highlights the strengths and weaknesses of each method in different contexts. Sensitivity analysis further explores the robustness of these methodologies in response to changes in input parameters, such as the weighting of selection criteria. The findings offer a nuanced understanding of the trade-offs associated with each AI-based recruitment method, guiding organizations in selecting the most suitable tools for their specific needs. This research contributes to the broader discourse on AI in recruitment by providing evidence-based recommendations that align with both organizational goals and ethical considerations.

Author Biography

Kiran Kumar Reddy Yanamala, Central Michigan University

 

 

Current Issue

Information

Submission Guidelines for the Journal of Computational Social Dynamics General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

  • Results: Present the findings of your study.

  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

  • References: Citations should be formatted according to the APA/IEEE styles.

Ethical Guidelines:

Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

Plagiarism:

The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

Peer Review Process:

All submissions undergo a double-blind peer review process. Authors can expect initial feedback within six to eight weeks.

Submission Process:
  1. Prepare your manuscript according to the guidelines.
  2. Submit your manuscript through our online portal at.
  3. After submission, you will receive a confirmation email with a manuscript ID for tracking purposes.
Revisions:

If revisions are requested, authors must resubmit the revised manuscript within the specified timeframe.

Publication Fees:

The journal has a nominal publication fee, waived for authors who lack funding. Details are available on our website.

For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering the Journal of Computational Social Dynamics as a venue for your research.

Published by Vectoral Publishing, the Journal of Computational Social Dynamics maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/jcsd. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.