Abstract

Anonymity of the sender plays important role in modern delivery models such as discreet shipping or drop shipping. At the same time, existing anonymous delivery systems focus on the protection of recipients and employ elements that weaken their security. This paper introduces FEAdelivery – a system that takes advantage of unique delivery identifiers to protect senders' anonymity while retaining the option of each delivery being responded to. The solution was developed through empirical design research with prototyping and conceptual study.

Recommended Citation

Leszczyna, R. (2025). Feedback-enabled anonymous deliveriesIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.102

Paper Type

Poster

DOI

10.62036/ISD.2025.102

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Feedback-enabled anonymous deliveries

Anonymity of the sender plays important role in modern delivery models such as discreet shipping or drop shipping. At the same time, existing anonymous delivery systems focus on the protection of recipients and employ elements that weaken their security. This paper introduces FEAdelivery – a system that takes advantage of unique delivery identifiers to protect senders' anonymity while retaining the option of each delivery being responded to. The solution was developed through empirical design research with prototyping and conceptual study.