WHITE-LABEL PICKUP STATIONS: A CONJOINT ANALYSIS

Author(s):

  • Reinhold Schodl (University of Applied Sciences BFI Wien)
  • Sandra Eitler (University of Applied Sciences BFI Wien)
  • Bernhard Ennser (University of Applied Sciences BFI Vienna)
  • Johannes Braith (Storebox Holding GmbH)
  • Georg Hauger (Vienna University of Technology)
  • Matthias Steinbauer (Variocube GmbH)
  • Matthias Prandtstetter (AIT Austrian Institute of Technology)
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Abstract:
This paper deals with the customer-centric implementation of white-label pickup stations in the challenging field of parcel logistics. A white-label pickup station is a point for parcel deliveries that is not limited to one parcel delivery company, but open to other ones as well. The concept offers consumers a convenient way for receiving parcels around the clock, and logistics companies the opportunity for improving operational performance. Moreover, a network of white-label pickup stations can help to reduce traffic. Consequently, white-label pickup stations can ease the environmental impact of last mile delivery. The research takes place in the context of the project alBOX, which aims to develop sustainable business models for white-label pickup stations. This requires a thorough understanding of potential customers. In order to investigate customer preferences, a conjoint analysis is carried out. This allows to understand how people value alternative service configurations of white-label pickup stations.
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@inproceedings{oscm-2020-1788,
  title={WHITE-LABEL PICKUP STATIONS: A CONJOINT ANALYSIS},
  year={2020},
  author={Reinhold Schodl and Sandra Eitler and Bernhard Ennser and Johannes Braith and Georg Hauger and Matthias Steinbauer and Matthias Prandtstetter},
  booktitle={Proceedings of the 10th International Conference on Operations and Supply Chain Management, 2020},
  doi={10.31387/oscm490256}
}
Reinhold Schodl, Sandra Eitler, Bernhard Ennser, Johannes Braith, Georg Hauger, Matthias Steinbauer, Matthias Prandtstetter (2020). WHITE-LABEL PICKUP STATIONS: A CONJOINT ANALYSIS. In Proceedings of the 10th International Conference on Operations and Supply Chain Management, 2020. https://doi.org/10.31387/oscm490256