پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شماره‌ها | 652 |
| تعداد مقالات | 9,519 |
| تعداد مشاهده مقاله | 68,409,849 |
| تعداد دریافت فایل اصل مقاله | 47,890,043 |
Application of data envelopment analysis in determining the efficiency of management and company | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 20، دوره 15، شماره 6، شهریور 2024، صفحه 237-243 اصل مقاله (334.32 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.31175.4582 | ||
| نویسندگان | ||
| Omid Dalir1؛ Taghi Torabi* 2؛ Mahnaz Rabiei3؛ Yeganeh Mousavi Jahromi4 | ||
| 1Department of Finance, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 2Department of Economics, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 3Department of Economics, Research Center for Modeling and Optimization in Science and Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| 4Department of Economics, Faculty of Management and Economics, Payam-e-Noor University, Tehran, Iran. | ||
| تاریخ دریافت: 16 اسفند 1401، تاریخ بازنگری: 10 تیر 1402، تاریخ پذیرش: 17 تیر 1402 | ||
| چکیده | ||
| Data Envelopment Analysis (DEA) is one of the widely used methods in measuring the technical efficiency of organizations. Data envelopment analysis is a classical non-parametric technique based on mathematical programming, which is used to compare the evaluation of the efficiency of a set of similar decision-making units. Its significant advantage is that it does not need to determine parametric specifications (such as the production function) to get performance points. Data envelopment analysis is known as a valid and stable tool used in performance evaluation, which provides a single measure of performance for each unit relative to its peers. Even though the number of data envelopment analysis models is constantly increasing and each one has a specialized aspect, the basis of all is a number of main models, among which we can refer to the "Charnes, Cooper and Rhodes" models (1978) as CCR, in which the assumption of constant returns to scale (CRS) has been used in the analysis. There are different approaches to determining the effective factors on efficiency and productivity and how to measure the productivity of production factors. Among the investigated companies in the years 2019 to 2019, it was found that the technical efficiency of the companies decreased, the technological changes of the companies increased, the managerial efficiency of the companies decreased, the efficiency of the scale of the companies decreased, and the overall productivity of the companies faced a decrease. | ||
| کلیدواژه‌ها | ||
| data envelopment analysis؛ efficiency؛ management efficiency؛ performance evaluation | ||
| مراجع | ||
|
[1] M.Y.N. Attari, M. Ahmadi, A. Ala and E. Moghadamnia, RSDM-AHSnet: Designing a robust stochastic dynamic model to allocating health service network under disturbance situations with limited capacity using algorithms NSGA-II and PSO, Comput. Biol. Med. 147 (2022), 105649. [2] C.P. Barros and C. Alves, An empirical analysis of productivity growth in a Portuguese retail chain using Malmquist productivity index, J. Retail. Consum. Serv. 11 (2004), no. 5, 269–278. [3] A. Charnes, W.W. Cooper and E. Rhodes, Measuring the efficiency of decision-making units, European J. Oper. Res. 2 (1978), no. 6, 429–444. [4] A. Charnes, W.W. Cooper and E. Rhodes, Evaluating program and managerial efficiency: An application of data envelopment analysis to program follow through, Manag. Sci. 27 (1981), no. 6, 668–697. [5] Y. Chen, H. Morita and J. Zhu, Context-dependent DEA with an application to Tokyo public libraries, Int. J. Inf. Technol. Decision Mak. 4 (2005), 385–394. [6] P. Demerjian, B. Lev, and S. McVay, Quantifying managerial ability: A new measure and validity tests, Manag. Sci. 58 (2012), no. 7, 1229–1248. [7] C.A.S Maria and E.T. Portela, Malmquist–type indices in the presence of negative data: An application to bank branches, J. Bank. Finance 34 (2010). [8] E. Moghadamnia, A. Toloei Ashlaghi, M.A. Afshar Kazemi, Analysing the role of technology transfer in the professional ethics of employees, J. Ethics Sci. Technol. 15 (2020), no. 1. [9] E. Moghadamnia, A. Toloei Ashlaghi, M.A. Afshar Kazemi, Designing a change model for developing human resource training in technology transfer in learning organizations using a metaheuristic framework, Educ. Dev. Jundishapur 12 (2021), no. 2, 657–665. [10] H. Makhmali, A. Sohrabi, E. Moghadamnia and M. Behifar, Assessment of the function of time-driven activity-based costing (TDABC) pattern compared to traditional costing in eHealth services, J. Strat. Manag. Stud. 8 (2017), no. 30, 109–125. [11] S. Mohebi, M.E. Fadaienejad, M. Osulian and M.R. Hamidizadeh, Forecasting the daily index of Tehran Stock Exchange using the selection of suitable features for long-term persistent memory neural network, Financ. Eng. Secur. Manag. 14 (2022), no. 55. [12] M. Pouryusef, G. Tohidi and S. Razavyan, Malmquist productivity index for decision-making units with two-stage structure, World Acad. Sci. Eng. Technol. 50 (2011). [13] M. Qalandari and M. Fallah, The impact of currency shock on the occurrence of anomalies in the stock exchange, Bus. Manag. 13 (2021), no. 50. [14] Y.-M. Wang and Y.-X. Lan, Measuring Malmquist productivity index: A new approach based on double frontiers data envelopment analysis, Math. Comput. Modell. 54 (2011), no. 11–12, 2760–2771. [15] Y. Wantao and R. Ramakrishnan, An assessment of operational efficiency of retail firms in China, J. Retaili. Consum. Serv. 16 (2009), no. 2, 109–122. | ||
|
آمار تعداد مشاهده مقاله: 18,716 تعداد دریافت فایل اصل مقاله: 11,112 |
||