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Seeing the Forest for the Trees: Group-Oriented Workforce Analytics

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Business Process Management (BPM 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12875))

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Abstract

Workforce analytics brings data-driven methods to organizations for deriving insights from employee-related data and supports decision making. However, it faces an open challenge of lacking the capability to analyze the behavior of employee groups in order to understand organizational performance. This paper proposes a novel notion of work profiles of resource groups, informed by the management literature, for characterizing resource group behavior from multiple aspects relevant to workforce performance. This notion is central to the design of a new, systematic approach that supports resource group analysis by exploiting business process execution data. The approach also provides managers and business analysts with an intuitive means of group-oriented resource analysis by applying visual analytics. We demonstrate the applicability of the approach and usefulness of the proposed notion of resource group work profiles using real datasets from five Dutch municipalities.

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Notes

  1. 1.

    BPIC 2015: https://data.4tu.nl/collections/BPI_Challenge_2015/5065424/1.

  2. 2.

    Experiment details: https://git.io/Jq9uC.

  3. 3.

    The mean case cycle time in the dataset is 91.1 days (std. 105.8 days).

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Author information

Authors and Affiliations

  1. Queensland University of Technology, Brisbane, Australia

    **g Yang, Chun Ouyang, Arthur H. M. ter Hofstede, Wil M. P. van der Aalst & Michael Leyer

  2. RWTH Aachen University, Aachen, Germany

    Wil M. P. van der Aalst

  3. University of Rostock, Rostock, Germany

    Michael Leyer

Authors
  1. **g Yang
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  2. Chun Ouyang
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  3. Arthur H. M. ter Hofstede
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  4. Wil M. P. van der Aalst
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  5. Michael Leyer
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Corresponding author

Correspondence to **g Yang .

Editor information

Editors and Affiliations

  1. The University of Melbourne, Carlton, VIC, Australia

    Artem Polyvyanyy

  2. NICTA Queensland Research Lab, Queensland University of Technology, Brisbane, QLD, Australia

    Moe Thandar Wynn

  3. Ghent University, Ghent, Belgium

    Amy Van Looy

  4. Institut fur Datenbanken, Info System, Universitat Ulm, Ulm, Germany

    Manfred Reichert

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Yang, J., Ouyang, C., ter Hofstede, A.H.M., van der Aalst, W.M.P., Leyer, M. (2021). Seeing the Forest for the Trees: Group-Oriented Workforce Analytics. In: Polyvyanyy, A., Wynn, M.T., Van Looy, A., Reichert, M. (eds) Business Process Management. BPM 2021. Lecture Notes in Computer Science(), vol 12875. Springer, Cham. https://doi.org/10.1007/978-3-030-85469-0_22

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  • DOI: https://doi.org/10.1007/978-3-030-85469-0_22

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-85469-0

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