ELECTRE III for Human Resource Management: A Study of Recruitment and Retention Strategies

Meithiana  Indrasari; Delipiter Lase; Indriyani Indriyani; Jacomina Vonny Litamahuputty; Iwan Adhicandra; Robbi Rahim

doi:10.35877/454RI.jinav1505

Authors

Meithiana Indrasari Dr Soetomo University, Surabaya, Indonesia
Delipiter Lase Universitas Nias, Indonesia
Indriyani Institut Teknologi dan Bisnis STIKOM Bali, Indonesia
Jacomina Vonny Litamahuputty Politeknik Negeri Ambon, Ambon, Indonesia https://orcid.org/0000-0002-7258-3415
Iwan Adhicandra Universitas Bakrie, Jakarta, Indonesia https://orcid.org/0000-0003-2652-9167
Robbi Rahim Sekolah Tinggi Ilmu Manajemen Sukma https://orcid.org/0000-0001-6119-867X

DOI:

https://doi.org/10.35877/454RI.jinav1505

Keywords:

ELECTRE III, Multi-Criteria Decision Making, Human Resource Management, Recruitment and Retention Strategies, Data Quality and Sensitivity Analysis

Abstract

This paper presents the application of the ELECTRE III multi-criteria decision making method for human resource management. The case study conducted involves the evaluation of different recruitment and retention strategies using multiple criteria such as cost, time to fill a position, quality of candidates, retention rate, diversity and inclusion, employee satisfaction, and compliance. The study demonstrates the step-by-step process of how to conduct an ELECTRE III analysis, including the identification of criteria and alternatives, the calculation of concordance and discordance indices, and the determination of final rankings using the global outranking relation. The results of this analysis can be used by organizations to make informed decisions about recruitment and retention strategies that best align with their goals and objectives. The study highlights the importance of data quality and the need for sensitivity analysis to check the robustness of the results. Additionally, it is suggested that future research could be conducted on how to effectively communicate the results of the analysis to stakeholders and decision-makers, and on comparing the results of this analysis with other methods.

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