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Employee well-being in logistics

Authors: CRETSKENS, Ilse; RAMAEKERS, Katrien; CARIS, An; VAN LAER, Koen;

Employee well-being in logistics

Abstract

Although automation and digitalisation are rising in warehouses, humans still need to perform many tasks. However, finding and keeping qualified staff is a challenge. Although Industry 5.0 draws attention to humans again, many challenges must be overcome. This study examines how employee well-being can be increased in warehouses and how order pickers experience their well-being at work. First, a well-being framework was built based on the existing literature. Subsequently, a qualitative study was employed to discover the essential aspects and an in-depth understanding of order picker well-being. Semi-structured interviews were conducted in six logistics companies. We used thematic analysis to analyse the data. Two main themes that came forward during the interviews are appreciation shown to the order pickers and the role of the leader. To continue this research, we focus now on the impact of leadership on the well-being of order pickers at work by conducting a case study.

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Belgium
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green