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AI for Enhancing Recruitment and Selection in A Cape Town Local Government Entity

Domaine:

socioeconomic

Type de record:

paper
Créateur:
Mr.
Éditeur:
GAS Publishers
Hôte:avatar
Background/introduction: The recruitment and selection process is crucial for organisational success in both the public and private sectors. However, various challenges often lead to mismatches between employees and job roles, affecting performance. This study examines the integration of artificial intelligence (AI) in recruitment and selection within a local government entity in Cape Town, South Africa. Purpose/aims and objectives: This research aimed to (1) identify factors contributing to ineffective recruitment and selection, and (2) explore AI’s potential to address these challenges. Design-methodology, approach – qualitative: A qualitative approach was employed, involving two focus group discussions with eight HRM department personnel from the selected government entity. This method provided insights into recruitment challenges and AI’s potential benefits. Findings/results: The study identified inefficiencies stemming from corruption, maladministration, political interference, employment equity pressures, fraudulent job seeker profiles, skills shortages, and subjective applicant assessments. AI was found to offer potential benefits in enhancing objectivity, streamlining processes, and reducing corruption. However, the HRM department’s role remains essential, as challenges like political interference require human intervention. Research limitations and implications: This study is limited by its small sample size and focus on one local government entity. Further research is needed to examine the broader applicability of AI in recruitment across other sectors. Implications – practical/social/managerial/policy: AI can improve recruitment efficiency, but policies must address systemic issues like corruption. A balanced approach, where AI complements human decision-making, is crucial for success. Contribution/originality/value of the study: This study contributes to the understanding of AI in recruitment within the public sector, offering practical insights for policy and practice.

Visit

doi.orgzenodo.org

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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