Measuring Self-Preferencing on Digital Platforms
Lukas Jürgensmeier; Bernd Skiera · 2025 · Journal of Marketing
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Digital platforms facilitate exchanges between platform actors, such as trading between buyers and sellers. However, providers of digital platforms also compete with other actors, referred to as third parties, on their own platforms. In such settings, self-preferencing can occur if the platform treats its own offerings better than comparable third-party offerings—a practice often deemed inappropriate. However, detecting self-preferencing is challenging. This article addresses this challenge conceptually and empirically by putting forward a conceptual framework that defines self-preferencing an
Abstract by Lukas Jürgensmeier; Bernd Skiera, Journal of Marketing (2025) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1177/00222429251360772
