Capturing and Analysing Employee Behaviour: An Honest Day's Work Record

Iris Beerepoot*, Tea Šinik, Hajo A. Reijers

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

For a range of reasons, organisations collect data on the work behaviour of their employees. However, each data collection technique displays its own unique mix of intrusiveness, information richness, and risks. For the sake of understanding the differences between data collection techniques, we conducted a multiple-case study in a multinational professional services organisation, tracking six participants throughout a workday using non-participant observation, screen recording, and timesheet techniques. This led to 136 hours of data. Our findings show that relying on one data collection technique alone cannot provide a comprehensive and accurate account of activities that are screen-based, offline, or overtime. The collected data also provided an opportunity to investigate the use of process mining for analysing employee behaviour, specifically with respect to the completeness of the collected data. Our study underlines the importance of judiciously selecting data collection techniques, as well as using a sufficiently broad data set to generate reliable insights into employee behaviour.

Original languageEnglish
Article number102350
Number of pages16
JournalData and Knowledge Engineering
Volume154
DOIs
Publication statusPublished - Nov 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s)

Keywords

  • Data collection techniques
  • Employee behaviour
  • Methodologies and tools
  • Process mining
  • Quality and metrics
  • Work patterns

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