Survey Research Design in Supply Chain Management

Survey research is one of the most important methodologies in our discipline. Over time, the demands on survey research in SCM have increased – for good reasons. In particular, the design of survey research must reduce the risks of both common method bias and respondent bias. In their important 2018 editorial, entitled Survey Research Design in Supply Chain Management: The Need for Evolution in Our Expectations, Flynn and her coauthors (2018) distinguish between four types of survey research designs. Only one of them, Type 4, sufficiently avoids these two biases. “[A] Type 4 design employs multiple respondents, with the independent and dependent variables addressed by different respondents. It contains some polyadic [i.e., not just one company] constructs, which are addressed by appropriate respondents from different sources.” Anyone who designs a survey in SCM should therefore read this editorial carefully and strictly adhere to the recommendation to use a Type 4 design. Otherwise they risk that the study has no chance of being published in a high-quality academic journal.

Flynn, B., Pagell, M., & Fugate, B. (2018). Survey Research Design in Supply Chain Management: The Need for Evolution in Our Expectations. Journal of Supply Chain Management, 54 (1), 1–15. https://doi.org/10.1111/jscm.12161

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About Andreas Wieland

Andreas Wieland is an Associate Professor of Supply Chain Management at Copenhagen Business School. His current research interests include resilient and socially responsible supply chains.

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