Guidelines for reporting productivity studies - a review of the reproducibility of data envelopment analysis in the service sector

Jörg Becker, Daniel Beverungen, Dominic Breuker, Hanns-Alexander Dietrich and Hans Peter Rauer

International Journal of Services and Operations Management, 2013, vol. 16, issue 3, 407-425

Abstract: With respect to the scientific method, reproducing empirical research is a necessary step to develop generalisable knowledge. However, in service productivity measurement and managerial science in general, little attention seems to be paid to replicating empirical studies. One reason could be that many studies do not report their data and methodology in the degree of detail sufficient to reproduce them. In this paper, we provide evidence for a lack of reproducibility of empirical studies on service productivity measurement with data envelopment analysis (DEA), based on reviewing service productivity measurement literature. The major impediments identified comprise a superficial description of the measurement process and data sources, insufficient details on the retrieval methodology, and an incomplete account of the extraction methodology. To improve the reproducibility of future studies, this article offers a structured set of guidelines with which authors can report their studies more comprehensively.

Keywords: data envelopment analysis; DEA; services science; reproducibility; ethical guidelines; operations research; scientometrics; operational research philosophy; good practice; ethics; service sector; service productivity measurement. (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (2)

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