Social desirability bias in PSM surveys and behavioral experiments: Considerations for design development and data collection

Leopold Ried*, Stephanie Eckerd, Lutz Kaufmann

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

21 Citations (Scopus)
53 Downloads (Pure)

Abstract

Social desirability issues are long known, but not long gone. Across major purchasing and supply management (PSM) research streams, surprisingly few empirical studies explicitly address social desirability bias (SDB), despite SDB constituting a potentially limiting factor. With regard to surveys and behavioral experiments as two of the most widely used empirical methods in PSM, SDB can represent a critical issue. A first step should therefore be to collect and fully report data on SDB in all such studies. The present note then continues by providing an overview of methodological considerations for PSM researchers to mitigate social desirability issues before they arise in their surveys and behavioral experiments. We describe eight potential mitigation approaches, namely disguising the study's research purpose, assuring anonymity and confidentiality, indirect questioning, adapting the wording of single items, broadening response modes, conducting preparatory cognitive interviews, using multiple sources, and applying multiple research methods. In describing this repertoire of preventive measures, we point authors and review teams to both the broader methodological literature and PSM studies that have used such approaches.

Original languageEnglish
Article number100743
JournalJournal of Purchasing and Supply Management
Volume28
Issue number1
DOIs
Publication statusPublished - Jan 2022

Bibliographical note

Publisher Copyright:
© 2021 The Authors

Fingerprint

Dive into the research topics of 'Social desirability bias in PSM surveys and behavioral experiments: Considerations for design development and data collection'. Together they form a unique fingerprint.

Cite this