Business incubators can play a major role in helping to turn a business idea into a technology-based organization that is economically efficient. However, there is a shortage in the literature regarding the efficiency evaluation and productivity evolution of the new technology-based firms (NTBFs) in the incubation scope. This study develops a model based on the data envelopment analysis (DEA) m...

In some data envelopment analysis (DEA) applications, some inputs of DMUs have negative values with positive cost. This paper generalizes the global cost Malmquist productivity index to compare the productivity of different DMUs with negative inputs in any two periods of times under variable returns to scale (VRS) technology, and then the generalized index is decomposed to several components. T...

In some data envelopment analysis (DEA) applications, some inputs of DMUs have negative values with positive cost. This paper generalizes the global cost Malmquist productivity index to compare the productivity of different DMUs with negative inputs in any two periods of times under variable returns to scale (VRS) technology, and then the generalized index is decomposed to several components. T...

The index is excellent by the Malmquist index as extended to productivity measurement. The index developed here is defined in terms of input cost rather than input quantity distance functions in supply chain. Therefore, we propose productivity change is decomposed into overall efficiency and cost technical change. These decompositions provide a clearer situation of the root sources of supply ch...

The algorithm of decision supporting procedure based on Data Envelopment Analysis (DEA) along with the Malmquist Productivity Index is suggested in the paper. The procedure’s core consists of evaluations complex for preliminary data processing and adjustment as well as creating of analytic materials in the field of regional strategy planning. The crucial study issue is to define boundaries of D...

Malmquist Productivity Index (MPI) is a numeric index that is of great importance in measuring productivity and its changes. In recent years, tools like DEA have been utilized for determining MPI. In the present paper, some models are recommended for calculating MPI when there are just ratio data available. Then, using DEA and DEA-R, some models are proposed under the constant returns to scale ...

The current paper develops three different ways to measure the multi-period global cost efficiency for homogeneous networks of processes when the prices of exogenous inputs are known at all time periods. A multi-period network data envelopment analysis model is presented to measure the minimum cost of the network system based on the global production possibility set. We show that there is a rel...

This study seeks to determine the impact of mergers on efficiency and productivity of commercial banks in Malaysia for the period from 1995 until 2005. The study uses a non-parametric approach, namely DEA, to estimate the efficiency scores and to construct the Malmquist productivity index. To enable this estimation, three bank inputs and outputs were used. Amongst the findings are that banks ex...

malmquist productivity index (mpi) is a numeric index that is of great importance in measuring productivity and its changes. in recent years, tools like dea have been utilized for determining mpi. in the present paper, some models are recommended for calculating mpi when there are just ratio data available. then, using dea and dea-r, some models are proposed under the constant returns to scale ...

this study uses the data envelopment analysis (dea) to assess the progress/regression of decision-making units (dmus) having a two-stage structure‎. ‎the progress/regression of these dmu can be assessed in the first stage‎, ‎the second stage‎, ‎and the whole system‎. ‎in the first stage‎, ‎the progress/regression of bank branches in collecting resources and in the second stage their progress/re...