- citati u SCIndeksu: 0
- citati u CrossRef-u:0
- citati u Google Scholaru:[
 ]
- posete u poslednjih 30 dana:39
- preuzimanja u poslednjih 30 dana:6
|
|
|
2023, vol. 13, br. 1, str. 21-29
|
|
Analiza efikasnosti kompanija u Srbiji na bazi DEA Super-Radijalnog pristupa
Analysis of the efficiency of companies in Serbia based on the DEA Super-Radial approach
Sažetak
Pitanje analize faktora efikasnosti kompanija je veoma izazovno, aktuelno, značajno i kompleksno. Na osnovu toga, ovaj rad analizira efikasnost kompanija u Srbiji na osnovu DEA Super-Radijalnog pristupa. Prema rezultatima Super-Radijalnog (Super-CCR-I i Super-CCR-O) modela u 2021. godini, nijedna od analiziranih kompanija u Srbiji nije bila efikasna. To znači da se ulazno/ izlaznim elementima loše upravlja. Prema rezultatima Super-Radijalnog (Super-BCC-I) modela, iste godine u Srbiji dve kompanije su bile efikasne. To su JP EPS i NIS. Ostale posmatrane kompanije bile su neefikasne. Prema rezultatima Super-Radijalnog (Super-BCC-O) modela u 2021. tri kompanije u Srbiji bile su efikasne. To su MERCATA VT, MOJA KIOSK GRUPA i KNEZ PETROL COMPANI. Ostale posmatrane kompanije bile su neefikasne. Prema projekciji, da bi se postigla planirana efikasnost, na primer, u jedinici DMU JP EPS u 2021. godini bilo je potrebno smanjiti broj zaposlenih za 51,93%, poslovnu imovinu za 57,18%, kapital za 56,34%, poslovni prihod za 3,00% i povećanje neto dobiti za 235,28%. Prema Slack analizi, na primer, u DMU jedinici JP EPS, da bi se povećala efikasnost, potrebno je smanjiti broj zaposlenih za 12469, poslovnu imovinu za 548953, kapital za 339215 i povećati neto dobit za 35984,19 novčanih jedinice. Determinante efikasnosti kompanija u Srbiji su ekonomska klima, efikasnost upravljanja ljudskim resursima, imovinom, kapitalom, prodajom i profitom i dr. Njihova adekvatna kontrola može značajno uticati na postizanje ciljnog profita kompanija u Srbiji.
Abstract
The issue of analyzing the company's efficiency factors is very challenging, current, significant, and complex. Based on that, this paper analyzes the efficiency of companies in Serbia based on the DEA Super-Radial approach. According to the results of the Super-Radial (Super-CCR-I and SuperCCR-O) model in 2021, none of the analyzed companies in Serbia was efficient. This means that the input/output elements were poorly managed. According to the results of the Super-Radial (SuperBCC-I) model in the same year in Serbia, two companies were efficient. These are JP EPS and NIS. Other observed companies were inefficient. According to the results of the Super-Radial (SuperBCC-O) model in 2021, three companies in Serbia were efficient. They are MERCATA VT, MY KIOSK GROUP, and KNEZ PETROL COMPANY. Other observed companies were inefficient. According to the projection, to achieve the planned efficiency, for example, at the DMU unit of JP EPS in 2021, it was necessary to reduce the number of employees by 51.93%, business assets by 57.18%, capital by 56.34%, business income by 3.00% and increase the net profit by 235.28 %. According to Slack analysis, for example, in the DMU unit of JP EPS, to increase efficiency, it is necessary to reduce the number of employees by 12469, business assets by 548953, capital by 339215 and increase the net profit by 35984.19 monetary units. The efficiency of companies in Serbia was influenced by numerous macro and micro factors: the economic climate, the efficiency of management of human resources, assets, capital, sales, and profit, etc. Their adequate control can significantly influence the achievement of the company's target profit in Serbia.
|
|
|
|
Reference
|
|
  
|
Alam, T.E., González, A.D., Raman, S. (2023) Benchmarking of academic departments using data envelopment analysis (DEA). Journal of Applied Research in Higher Education, 15(1): 268-285
|
|
|
Amin, G.R., Hajjami, M. (2021) Improving DEA cross-efficiency optimization in portfolio selection. Expert Systems with Applications, 168: 114280-114280
|
|
|
Amini, A., Alinezhad, A., Yazdipoor, F. (2019) A TOPSIS, VIKOR and DEA integrated evaluation method with belief structure under uncertainty to rank alternatives. International Journal of Advanced Operations Management, 11(3): 171-171
|
|
|
Amirteimoori, A., Mehdizadeh, S., Kordrostami, S. (2022) Stochastic performance measurement in two-stage network processes: A data envelopment analysis approach. Kybernetika, 58(2): 200-217
|
|
17
|
Andersen, P., Petersen, N.C. (1993) A procedure for ranking efficient units in data envelopment analysis. Management Science, 39 (10), 1261-1264
|
|
31
|
Banker, R.D., Charnes, A., Cooper, W.W. (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092
|
|
2
|
Chang, X., Wang, X. (2020) Research performance evaluation of university based on super DEA model. u: IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), IEEE, 1252-1255
|
|
|
Chen, C., Liu, H., Tang, L., Ren, J. (2021) A range-adjusted measure of super-efficiency in integer-valued data envelopment analysis with undesirable outputs. Journal of Systems Science and Information, 9(4): 378-398
|
|
|
Chen, W., Li, S.S., Mehlawat, M.K., Jia, L., Kumar, A. (2021) Portfolio selection using data envelopment analysis cross-efficiency evaluation with undesirable fuzzy inputs and outputs. International Journal of Fuzzy Systems, 23(5): 1478-1509
|
|
|
Chen, W., Gai, Y., Gupta, P. (2018) Efficiency evaluation of fuzzy portfolio in different risk measures via DEA. Annals of Operations Research, 269(1-2): 103-127
|
|
|
Chen, W., Li, S.S., Zhang, J., Mehlawat, M.K. (2020) A comprehensive model for fuzzy multi-objective portfolio selection based on DEA cross-efficiency model. Soft Computing, 24(4): 2515-2526
|
|
|
Cooper, W.W., Park, K.S., Pastor, J.T. (1999) RAM: A range adjusted measure of inefficiency for use with additive models, and relations to other models and measures in DEA. Journal of Productivity analysis, 11(1), 542
|
|
1
|
Đurić, Z., Jakšić, M., Krstić, A. (2020) DEA window analysis of insurance sector efficiency in the Republic of Serbia. Economic Themes, 58(3), 291-310
|
|
2
|
Fenyves, V., Tarnóczi, T. (2020) Data envelopment analysis for measuring performance in a competitive market. Problems and Perspectives in Management, 18(1), 315-325
|
|
|
Fotova-Čiković, K., Lozić, J. (2022) Application of data envelopment analysis (DEA) in information and communication technologies. Tehnički glasnik, 16(1): 129-134
|
|
|
Guo, D., Cai, Z.Q. (2020) Super-efficiency infeasibility in the presence of non-radial measurement. Mathematical Problems in Engineering, Article ID 6264852, 7
|
|
2
|
Lee, H.S., Chu, C.W., Zhu, J. (2011) Super-efficiency DEA in the presence of infeasibility. European Journal of Operational Research, 212(1): 141-147
|
|
2
|
Lin, R. (2020) Cross-efficiency evaluation capable of dealing with negative data: A directional distance function based approach. Journal of the Operational Research Society, 71(3): 505-516
|
|
2
|
Lukic, R. (2018) Analysis of the efficiency of insurance companies. u: Insurance in the post-crisis era, Belgrade: Faculty of Economics, ISBN: 978-86-403-1548-7
|
|
4
|
Lukic, R., Hadrovic-Zekic, B. (2019) Evaluation of efficiency of trade companies in Serbia using the DEA approach. u: Proceedings of the 19th International Scientific Conference Business Logistics In Modern Management October 10-11, Osijek, Croatia, Osijek, Croatia: Josip Juraj Strossmayer University of Osijek - Faculty of Economics in Osijek, 145-165
|
|
|
Lukic, R. (2022) Measurement and analysis of the dynamics of financial performance and efficiency of trade in Serbia based on the DEA Super-Radial model. Review of International Comparative Management, 23(5): 630-645
|
|
|
Lukic, R. (2023) Comparative analysis of transport and storage information systems of the European Union and Serbia using fuzzy LMAW and MARCOS methods. Economy, Business and Development: An International Journal, 4(1): 1-17
|
|
1
|
Lukić, R. (2023) Measurement and Analysis of The Information Performance of Companies in The European Union and Serbia Based on the Fuzzy LMAW and MARCOS Methods. Informatica Economica, 27(1): 17-31
|
|
|
Lukić, R. (2023) Analysis of the performance of the Serbian economy based on the MEREC-WASPAS method. MARSONIA: Časopis za društvena i humanistička istraživanja, 2(2), 39-53
|
|
|
Lukić, R., Kozarević, E. (2019) Analysis of selected countries trade efficiency based on the DEA models. u: The Sixth Scientific Conference with International Participation 'Economy of Integration' ICEI 2019 -(E) Migrations And Competitiveness Of South-Eastern European Countries. At: Tuzla, Bosnia and Herze, 61-71
|
|
2
|
Lukić, R., Hanić, H., Bugarčić, M. (2020) Analysis of profitability and efficiency of trade in Serbia. Economic Analysis, 53(2): 39-50
|
|
|
Lukić, R. (2021) Evaluation of the efficiency of public companies in Serbia using the ARAS method. u: 21st International Scientific Conference Business Logistics in Modern Management, October 7-8, Osijek Croatia, 43-53
|
|
5
|
Lukić, R., Sokić, M., Kljenak-Vojteski, D. (2017) Efficiency analysis of banking sector in Republic of Serbia. Business excellence and Management, 7(4): 5-17
|
|
|
Lukić, R. (2023) Influence of net working capital on trade profitability in Serbia. European Journal of Interdisciplinary Studies, 15(1): 48-67
|
|
|
Lukić, R. (2023) Analysis of the performance of companies in Serbia listed on the Belgrade stock exchange. Zbornik radova: Računovodstvo i revizija u teoriji i praksi (Conference Proceedings: Accounting and audit in theory and practice), 5(5),69-80
|
|
1 
|
Lukić, R. (2022) Analysis of efficiency factors of companies in Serbia based on artificial neural networks. Anali Ekonomskog fakulteta u Subotici, br. 47, str. 97-115
|
|
|
Lukić, R. (2022) Evaluation of financial performance and efficiency of companies in Serbia. Journal of Engineering Management and Competitiveness (JEMC), vol. 12, br. 2, str. 132-141
|
|
5
|
Mandić, K., Delibašić, B., Knežević, S., Benković, S. (2017) Analysis of the efficiency of insurance companies in Serbia using the fuzzy AHP and TOPSIS methods. Economic Research (Ekonomska Istraživanja), 30(1), 550-565
|
|
1
|
Martić, M., Savić, G. (2001) An application of DEA for comparative analysis and ranking of regions in Serbia with regards to social-economic development. European Journal of Operational Research, 132(2): 343-356
|
|
|
Park, W., Kim, S. (2022) Integrating quantitative and qualitative methodologies to build a national R&D plan using data envelopment analysis based on R&D stakeholders' perspectives. PLOS ONE, 17(3): e0265058-e0265058
|
|
2
|
Pendharkar, P.C. (2021) Hybrid radial basis function DEA and its applications to regression, segmentation and cluster analysis problems. Machine Learning with Applications, 6: 100092-100092
|
|
2
|
Podinovski, V.V., Bouzdine-Chameeva, T. (2021) Optimal solutions of multiplier DEA models. Journal of Productivity Analysis, 56(1): 45-68
|
|
|
Radonjić, L. (2020) Comparative analysis of the regional efficiency in Serbia: DEA approach. Industrija, vol. 48, br. 2, str. 7-20
|
|
|
Rasoulzadeh, M., Edalatpanah, S.A., Fallah, M., Najafi, S.E. (2022) A multi-objective approach based on Markowitz and DEA cross-efficiency models for the intuitionistic fuzzy portfolio selection problem. Decision Making: Applications in Management and Engineering, 5(2), 241-259
|
|
2
|
Rostamzadeh, R., Akbarian, O., Banaitis, A., Soltani, Z. (2021) Application of DEA in benchmarking: A systematic literature review from 2003-2020. Technological and Economic Development of Economy, 27(1), 175-222
|
|
|
Sala-Garrido, R., Mocholí-Arce, M., Maziotis, A., Molinos-Senante, M. (2023) Benchmarking the performance of water companies for regulatory purposes to improve its sustainability. Clean Water, 6(1)
|
|
1
|
Stevic, Ž., Miškic, S., Vojinovic, D., Huskanovic, E., Stankovic, M., Pamucar, D. (2022) Development of a model for evaluating the efficiency of transport companies: PCA-DEA-MCDM model. Axioms, 11(140): 1-33
|
|
|
Stojanović, I., Puška, A., Selaković, M. (2022) A multi-criteria approach to the comparative analysis of the global innovation index on the example of the Western Balkan countries. Economics, 10(2): 9-26
|
|
3
|
Tone, K. (2002) A slacks-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research, 143(1): 32-41
|
|
3
|
Tsai, C., Lee, H., Gan, G. (2021) A New Fuzzy DEA Model for Solving the MCDM Problems in Supplier Selection. Journal of Marine Science and Technology, 29(1): Article 7
|
|
|
Vojteški, K.D., Lukić, R. (2022) Evaluation of the efficiency of providers of financial leasing in Serbia. Glasnik za društvene nauke, 14(14): 113-144
|
|
|
Zhu, N., He, K. (2023) The efficiency of major industrial enterprises in Sichuan province of China: A super slacks-based measure analysis. Journal of Industrial and Management Optimization, 19(2): 1328-1328
|
|
|
Zohreh, M.Z., Oukil, A., Vaez-Ghasemi, M. (2022) Global multi-period performance evaluation: new model and productivity index. RAIRO-Operation Research, 56, 1503-1521
|
|
|
|
|