Guidelines for reporting productivity studies - a review of the reproducibility of data envelopment analysis in the service sector
by Jörg Becker; Daniel Beverungen; Dominic Breuker; Hanns-Alexander Dietrich; Hans Peter Rauer
International Journal of Services and Operations Management (IJSOM), Vol. 16, No. 3, 2013

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.

Online publication date: Wed, 02-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Services and Operations Management (IJSOM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com