A Process Mining Methodology for People Analytics: With a Case Study on Recruitment Analysis

Emiel Caron, Nijs Niessen

2023

Abstract

In today’s competitive business environment, acquiring data about Human Resource (HR) processes and optimizing operational excellence are some of the main objectives. Process mining as a specific form of HR Analytics aims at translating data, stored in the HR information systems of the organizations into insights about the organization’s HR processes. These insights are then translated into improvements for HR processes and to enhancements in the compliance to rules and regulations. However, so far there is no concrete and comprehensive framework for the execution of process mining analysis that can be used practically by the HR professionals. In this paper, we develop a methodology for HR Analytics, based on PM2; a step-by-step method with the best practices and approaches to process mining projects in the HR domain. Additionally, we establish definitions such as the HR event log, the business process, etc. that capture the specifics of the HR domain. Finally, we demonstrate the effectiveness of the proposed methodology by applying it to a case study on the recruitment process. The results show that the methodology successfully identifies areas for improvement and provides insights that can enhance the overall HR recruitment process.

Paper Citation

in Harvard Style

Caron E. and Niessen N. (2023). A Process Mining Methodology for People Analytics: With a Case Study on Recruitment Analysis. In Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-665-1, SciTePress, pages 645-651. DOI: 10.5220/0012135100003538

in Bibtex Style

@conference{icsoft23,
author={Emiel Caron and Nijs Niessen},
title={A Process Mining Methodology for People Analytics: With a Case Study on Recruitment Analysis},
booktitle={Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2023},
pages={645-651},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012135100003538},
isbn={978-989-758-665-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT
TI - A Process Mining Methodology for People Analytics: With a Case Study on Recruitment Analysis
SN - 978-989-758-665-1
AU - Caron E.
AU - Niessen N.
PY - 2023
SP - 645
EP - 651
DO - 10.5220/0012135100003538
PB - SciTePress