ISBN:
9781838670023
Inhalt:
Estimating the production function is one of the most interest topics in economics, managements, and operations research. Often the number of decision-making units (DMUs) is not sufficiently large in comparison with the numbers of inputs and outputs. In this case, the available methodologies suffer to distinguish between DMUs and to provide a fair estimation of the production function. In the literature, studies usually suggest that researchers should either decrease the number of input-output variables or increase the number of DMUs. We demonstrate the reasons for such suggestions and provide a geometric visualization to address this issue. A simple but powerful model is introduced which is able to estimate a production function when the number of DMUs are small. A real-life numerical example of 32 DMUs with 45 variables is also used to demonstrate the advantages of the introduced model. From such an approach, researchers can benchmark organizations even if the number of DMUs is less than the number of input-output variables.
In:
Applications of management science, Bingley, U.K. : Emerald Publishing Limited, 2020, (2020), Seite 187-205, 9781838670023
In:
Emerald Publishing Limited
In:
year:2020
In:
pages:187-205
Sprache:
Englisch
DOI:
10.1108/S0276-897620200000020015
URL:
Volltext
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