Malmquist Productivity Index Based on Time Effect
author
Abstract:
In recent years, measuring and analyzing productivity changes is the main focus of variousresearches who study performance of organizations. All through widespread application ofMalmquist Productivity Index, different types of data should be considered thoroughly,otherwise any defective study of the related data and deciding factors may yield poor results.Practical Malmquist Productivity Index (PMPI) models, presented in this research, arefundamentally capable of measuring the productivity of units in a competitive atmosphere,along with the hidden economic indexes such as time value of money, amortization andpromoted skills of employees. Also these models would provide the productivity comparisonover different periods of time. Moreover, these models are reliable as well as tangible forsuperior managers and it is noteworthy that they would offer significantly favorableconditions, lack of which may cause the unit under evaluation to face a great deal ofregression.
similar resources
Malmquist Productivity Index for Multi Time Periods
The performance of a decision making unit (DMU) can be evaluated in either across-sectional or a time-series manner, and data envelopment analysis (DEA) is a useful method for both types of evaluation. The Malmquist productivity index (MPI) evaluates the change in efficiency of a DMU between two time periods. It is defined as the product of the Catch-up and Frontier-shift terms. In this pape...
full textMalmquist productivity index in several time periods
The Malmquist productivity index evaluates the productivity change of a decision making unit (DMU) between two time periods. In this current study, a method is proposed to compute the Malmquist productivity index in several time periods (from the first to the last periods) in data envelopment analysis (DEA) and then, the obtained Malmquist productivity index is compared with Malmquist produ...
full textMalmquist productivity index in several time periods on interval data
The productivity change of a decision making unit (DMU) between two time periods can be evaluated by the Malmquist productivity index. In this study, we propose a method to compute the Malmquist productivity index in several time periods (from the first to the last periods) on interval data in data envelopment analysis (DEA). Then, the obtained Malmquist productivity index is compared with Malm...
full textMalmquist productivity index in several time periods on interval data
The productivity change of a decision making unit (DMU) between two time periods can be evaluated by the Malmquist productivity index. In this study, we propose a method to compute the Malmquist productivity index in several time periods (from the first to the last periods) on interval data in data envelopment analysis (DEA). Then, the obtained Malmquist productivity index is compared with Malm...
full textEstimating Stochastic Malmquist Productivity Index
Nowadays the extent of productivity of Decision Making Units (DMUs) in future has a significant importance. One of the different types of calculating profitability of units is Malmq uist productivity index. All approaches presented so far calculate this index in present or past time using deterministic data. In this paper, a new approach based on DEA is presented for estimating Malmquist index ...
full textGlobal Malmquist Productivity Index Based on Preference Common-Weights
Data Envelopment Analysis is a linear programming technique for assessing the efficiency and productivity of decision making units (DMUs). Over the last decade, DEA has gained considerable attention as a managerial tool for measuring performance. The flexibility in selecting the weights in standard DEA models deters the comparison among DMUs on a common base. Moreover, these weights are unsuita...
full textMy Resources
Journal title
volume 1 issue 4
pages 41- 56
publication date 2016-02-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023