Applicant Tracking System: A Powerful Recruiters’ Tool

Keywords:
Hiring, Applicant Tracking System (ATS), Human Resource Management (HRM), Digital Transformation

Abstract:
This article explores the transformative impact of Applicant Tracking Systems (ATS) on modern hiring processes. Traditional methods have been timeconsuming and resource-intensive, prompting the need for AI solutions in the digital age. ATS, such as Teamtailor, have become integral to streamlining these processes, offering features that optimize the hiring journey.ATS platforms enable efficient job advertisement creation and distribution, resume collection from various sources, and tailored candidate screening. The software facilitates communication and transparency throughout the hiring process, enhancing the candidate experience. It also offers customization options, allowing recruiters to tailor their workflows and stages.The integration of AI-driven solutions, like the Teamtailor AI robot, further automates candidate evaluation, significantly reducing manual work. Candidates must adapt to optimize their applications for ATS screening, emphasizing skills and job requirements. This digital transformation extends to remote work, providing new opportunities and challenges for global candidates.While the article underscores the benefits of ATS, it also raises questions about the potential for these systems to entirely replace human assessment. Nonetheless, the evolution of ATS aligns with the ongoing digital revolution, promising greater effectiveness (quality) and efficiency (productivity) in future talent acquisition

CITATION:

IEEE format

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N. Novaković, L. Dražeta, “Applicant Tracking System: A Powerful Recruiters’ Tool,” in Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2024, pp. 240-245. doi:10.15308/Sinteza-2024-240-245

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Novaković, N., Dražeta, L. (2024). Applicant Tracking System: A Powerful Recruiters’ Tool. Paper presented at Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2024-240-245

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