جستجوی مقالات مرتبط با کلیدواژه "شاخص مالم کوئیست" در نشریات گروه "مدیریت"

The main purpose of this article is to measure the efficiency of the multi-level sustainable supply network in Iran's transportation industry using a radial model in the envelopment analysis of network data with a double border and combining it with Malmquist index

The research method is based on operational research and presenting a new model based on the overlay analysis technique of network-oriented data. The desired model is built considering the unfavorable output indicators and the double border.

The findings showed that the presented model is able to evaluate the sustainable supply chain in the presence of favorable and unfavorable data. This model measures and evaluates three indicators of the sustainable supply chain of the industry including input, intermediate and final output sectors and by creating a double border. In addition, it evaluates this chain in the passenger sector of Iran's transportation industry and compared to similar models, it has an advantage in calculating the efficiency of the multi-level chain and combining it with Malmquist's efficiency index in optimistic and pessimistic states.

According to the obtained results, the efficiency of the transportation network of each province has been calculated according to the efficiency score in the desired years and the average period. Then, by combining the Malmquist index, the progress or regression of the transportation network's productivity has been investigated during a consecutive period of time. The results of this research can be used in the strategic planning of the transportation industry.

In health care provider organizations (HCPOs), there are several sub-units, simultaneously providing health and preventive services to the population covered, in which measuring productivity is one of the most important challenges for the managers of these organizations. Hence, the purpose of this study is to provide an integrative approach of data envelopment analysis (DEA) and Malmquist productivity index (MPI) to monitor the productivity in Iranian Petroleum Industry Health Organization (PIHO) as an HCPO. In this study, using the indicators related to efficiency and defining the specialized indicators affecting the performance of the sub-units of this organization, the growth rate of the performance of the sub-units was determined through calculating four distance functions and Malmquist productivity Index. According to the results of this study, 27 specialized indicators in the fields of direct and indirect health and preventive services for monitoring the effectiveness of proposed HCPO have been presented. Also, the growth rate of productivity of the fifteen areas of the organization under study has been evaluated from 2019 to 2021. The innovative aspect of this article lies in the definition of effectiveness measurement indicators and presentation of a theoretical framework for monitoring the rate of productivity in HCPOs. The findings of this applied research in health service organizations can be used to enhance capacity in different areas of health care and save resources.

The main purpose of this study is to evaluate the changes in the productivity of commercial banks in Iran and to examine the factors affecting it. Malmquist index and data envelopment analysis were used to measure changes in the productivity, and to evaluate the factors affecting productivity, the multivariate regression was utilized. The research time-period consisted of an 8-year period ending in 2018. The sample consists of 10 operating banks in the banking industry of Tehran Stock Exchange. The Research findings show that indicate that in total (average of the periods under study) investigated units experienced a growth in productivity and this growth was due to their technical efficiency growth. On the other hand the findings, also, indicate a significant effect of size, the ratio of cost to income and competition in the market of bank deposits on the productivity. And these observed relationships were direct, indirect and direct respectively.

Efficiency is an important issue for the managers of different companies and organizations, as well as customers who are interested in services of these companies and organizations. The aim of this research is to study the efficiency of pharmaceutical companies accepted in stock exchange organization using Data Envelopment Analysis (DEA) and then, providing some rules using the decision tree. The Malmquist index partly resolves the problem of inadequacy of the observations by enabling the combination of time-series and cross-sectional observations. This method acts on the basis of moving average and it is of use for finding performance trends of a unit during the time. In this research, regarding the inputs and outputs and using the Malmquist index, efficiency evaluation of 22 pharmaceutical companies accepted in stock exchange organization has been done in the state of constant returns to scale during 2012-2016, and the results obtained were used as the class label of Decision-Making Units (DMUs) which are in fact inputs of decision tree method. Finally, using the decision tree, rules implicit in the data, are extracted.

The purpose of this paper is to evaluate the performance of personnel units of five regions of Tehran Bank Mellat and investigating their productivity and efficiency by taking advantage of data envelopment analysis (DEA) efficiency as well as using Malmquist index. The study period is 2011-2015 . In this study, we track the performance of every decision-making unit over time and to analyze the changes in efficiency and productivity as well as separation of efficiency over time and into two major components: technological developments and changes in efficiency by Malmquist Index and window analysis. The results show that human resources departments of regions 4 and 5, respectively, with 93% and 97% technical efficiency scores are in the first place, and the offices of regions 4 and 5 with mean efficiency of about 95% have appropriate efficiency. Moreover, human resources departments of all regions with the average efficiency of over 95% are favorable. Based on Malmquist Index values among the regions, Region 3 (1.023) has had efficiency improve in during the study period, and evaluating total efficiency changes show that year 2012 (1.033) has had the greatest growth in productivity.

Industrial settlements in different regions of a country are looking for maximum benefit from the advantages of geographical, regional, economic and social with the least possible economic and social costs, and based on this logic, these settlements are also considered as a solution to reduce the current problems of industrial cities and potential in industrializing cities. In brief, the experiences of developed countries and some developing countries show that if industrial gatherings are used properly accompanied by other measures, it will lead to encourage industrialization and guiding the industry in terms of location, and essentially, it helps the goals of urban and regional planning and industrial and economic development. Accordingly, this study is looking for identification of factors affecting lack of absorption and the development of investment in industrial settlements of Tehran and determining the weight of these factors using fuzzy Analytic Hierarchy Technique. In this research, gathering of experts opinions using the questionnaire is made, and using Lin triangular fuzzy scale, defuzzification is done. And finally, using the Super decision software final weights is determined. Based on the results, Identified factors in order of importance degrees were included: Macroeconomic policy, a lack of infrastructural facilities, lack of existence of executive-management organization, institutional barriers and lack of optimal positioning. In the end, solutions to increase and develop industrial investment in industrial settlements of Tehran are also provided.

For many economic planners and policy makers, enhancing productivity has been one of the efficient methods in increasing economic growth. Based on that, countries have invested a great deal to increase total factor productivity. In this article, the effect of human capital, openness to trade and inflation on total factor productivity has been investigated in Iran during 1976-2012. We estimated total factor productivity TFP, using Malmquist index. We also investigated the effects of various factors on productivity, using Johansen and Juselius’ co-integration techniques. Our findings indicate that human capital has a positive effect on productivity. We also found that openness has a positive and inflation has a negative effect on total factor productivity in Iran.

An integrative approach of Data Envelopment Analysis (DEA) and Malmquist Productivity indicator for performance analysis of projects in Subsea R&D Center (SRDC) is presented. It is noticeable that، an output based model with constant efficiency was used for data analysis. Furthermore، since the DEA approach is merely used for homogeneous units، it was assumed that all the projects according to objectives in the project based organization، i. e. time، cost and acceptable quality were homogenised. However، results of this research are limited to an exact time and are related to special projects for the associated organization. Findings imply feasibility of using this model for measuring productivity improvement of projects in project based organizations. The innovation of this research may consider to integrative of DEA and Malmquist indicatorfor projects analysis and performance sensitivity analysisas well.

The present article tries to measure and analyze the productivity of the selected developing countries during 1998-2007 through the use of data envelopment analysis method and Malmquist index, and then to examine the relationship between productivity and economic growth in the countries with high productivity growth. The results obtained from the study show that 17 countries have the efficiency rate under 0.9, and that from the viewpoint of technical efficiency, only Kuwait is placed on the boundary function of production. Also, from the viewpoint of management efficiency, countries such as Azerbaijan, Bulgaria, Georgia, Kazakhstan, Kuwait, Kyrgyz Republic, Lithuania, Mongolia, Ukraine, and Tunisia have the highest rate of efficiency.

The Research Institute of Petroleum Industry (RIPI) is one of the leading research centers to identify, supply, and development of advanced knowledge and technology for the oil industry and value creation for its customers through fundamental, applicational, and developmental researches to solve strategic and operational problems of oil industry. Since RIPI is a center for all research activities of oil industry, if such research center is converted to a costly place, it would not be effective then. Thus, its productivity must be more than its costs. Therefore, estimation of its efficiency and productivity and identification of its effective factors are very essential. In this study, Window Analysis method, Malmquist Index, and Data Envelopment Analysis (DEA) models are used to measure performance of each unit over time, and to analyze changes of productivity and efficiency over time, and separation of productivity into its two main parts: technological developments and efficiency changes. The results show that the average of technical efficiency of units 1, 2, 5 and 6 is about 82%, which is relatively low. The average of technical efficiency of units 1, 5 and 6 are about 84%. The average scale efficiency for all units of RIPI is desirable, except for unit 2 that is 83%. Regarding to Malmquist index, only performance of unit 5 has not improved during the period, and performance of other units were improved. The average of Malmquist productivity index for RIPI was 1.09 during the period, which shows improvement of its performance.

The aim of this paper is to investigate and measure the productivity changes of entire production factors in industry sector (as a pioneer in development) in various provinces as well as to evaluate the role and contribution of its components.Different indexes have been represented to measure the productivity of enterprises and firms which evaluate productivity and performance from specific point of view. One of the newest indexes which measures organization productivity and performance from both financial and non-financial dimensions is Malmquist productivity index. This index, which is based on numerical indexes, is a proper criterion for those enterprises which are confronting with monopolistic and semi-monopolistic conditions in input and output markets and their in input and output prices are not real. Within the framework of this index, the changes in productivity of entire production factors are analyzed and measured in two sections; efficiency changes and technology changes. Required amounts of Malmquist index were computed using data envelopment analysis (DEA) technique and then, productivity changes of entire production factors for large industries of different provinces were determined in separation of efficiency and technology changes. Results show that during 1992-2009, the productivity of entire production factors for large industries in provinces has been raised relatively. According to results, the average rate for productivity changes of entire production factors for mentioned industries in mentioned period was 5 percent; while the average changes of negative efficiency was0.8 percent and the average of technology changes was 5.8 percent. In other words, the origin of increase in productivity level of entire production factors was due to technology changes. While it had a reinforcing effect on productivity, it neutralized the negative effect of efficiency changes.