DCBA-MPI: A simulation based technique in optimizing an accurate Malmquist productivity index

0Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper describes a simulation based methodology utilizing simulation optimization technique in measuring an accurate Malmqusit productivity index (MPI) score. Given the high level of stochastic data in real environment, a novel methodology known as DCBA-MPI has been developed. An example of the mode application is shown in banking institutions. In addition to the novel approach presented, this article provides a new insight into the application domain of MPI measurement as well as the way one conducts productivity study in stochastic environment.

Cite

CITATION STYLE

APA

Deng, Q., Wong, W. P., & Hooy, C. W. (2015). DCBA-MPI: A simulation based technique in optimizing an accurate Malmquist productivity index. In Springer Proceedings in Mathematics and Statistics (Vol. 95, pp. 449–457). Springer New York LLC. https://doi.org/10.1007/978-3-319-08377-3_44

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free