Analysis of the efficiency of financial institutions in Serbia based on the OCRA method

Lukić, Marija

doi:10.5937/tehnika2101103l

Cited by 5 publications

(1 citation statement)

References 13 publications

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“…The literature devoted to the development and application of DEA models is very rich (Andersen & Petersen, 1993;Banker idr., 1984 Likewise, an increasing number of works are devoted to the specifics of the analysis of the efficiency of insurance companies based on the DEA model (Kočović idr., 2010;Lukić, 2010Lukić, , 2016Lukić, , 2018aLukić, , 2018bLukić, , 2021aLukić, , 2021bLukić, , 2021cLukić, , 2021dLukić, , 2021e, 2022aLukić, , 2022bLukić, , 2023; Lukic & Hadrovic Zekic, 2019; Lukic idr., 2017, 2020; Mandić idr., 2017; Rakonjac-Antić, 2018). In this paper, it serves as a theoretical-methodological and empirical basis for evaluating the efficiency of insurance companies in Serbia using the DEA Super-Radial model.…”

Section: Introductionmentioning

confidence: 99%

Analysis Of The Efficiency Of Insurance Companies In Serbia

Lukic

2023

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It is very challenging to investigate the efficiency of insurance companies in all countries based on the DEA (Data Envelopment Analysis) model. This is also the case with Serbia. This paper analyzes the efficiency of insurance companies in Serbia based on the DEA Super-Radial model. According to the results of Super-Radial (Super-CCR-I and Super-CCR-O) in 2021, no insurance company in Serbia was efficient. In the same year, according to the Super-Radial (Super-BCC-I) results, only two insurance companies in Serbia were efficient: DUNAV OSIGURANJE and ĐENERALI OSIGURANJE SERBIA. According to the results of Super-Radial (Super-BCC-O) in 2021 in Serbia, only two insurance companies were efficient: DDOR RE and SAVA ŽIVOTNO.Other insurance companies were ineffective. In order to improve the efficiency of insurance companies in Serbia, it is necessary, in addition to efficient adapting to a dynamic business environment, managing assets, capital, human resources, sales of insurance products and profits as efficiently as possible. Digitalization of the entire business plays a significant role in this. It significantly mitigated the impact of the Covid-19 pandemic on the efficiency of insurance companies in Serbia.

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Section: Introductionmentioning

confidence: 99%

Analysis Of The Efficiency Of Insurance Companies In Serbia

Lukic

2023

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Evaluation of the efficiency of banks in Serbia using the MABAC method

Lukić¹

2022

Bankarstvo

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In recent times, as is known, various methods of multi-criteria analysis are used more and more in order to evaluate the efficiency of financial institutions as accurately as possible. One of them is MABAC (Multi-Attributive Border Approximation Area Comparison) method. Bearing that in mind, this paper analyzes the efficiency of banks in Serbia based on this method. The results of the research on the efficiency of banks in Serbia based on the MABAC method show that Banca Intesa ad Beograd is in first place. The ranking of banks in Serbia according to the MABAC method was influenced by numerous macro and micro factors (economic climate, foreign direct investments, exchange rate, inflation, employment, living standards of the population, financing of infrastructure projects and debts). The impact of the Covid-19 corona virus pandemic on the efficiency of banks in Serbia is negative. A reduced number of employees was recorded and credit activities were "frozen". This also affected the efficiency of banks in Serbia. In order to improve the efficiency of banks in Serbia in the future, it is necessary to manage human resources, assets, capital, income and profit as efficiently as possible.

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Analysis of trade efficiency in Serbia based on the MABAC method

Lukić¹

2021

Ekonomski pogledi

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In recent times, as it is well known, various methods of multi-criteria analysis are increasingly used in order to evaluate the efficiency of companies more accurately. One of them is the MABAC method. With this in mind, this paper analyzes trade efficiency in Serbia on the basis of this method. Trade in Serbia was the most efficient in the observed period (2013-2020) in 2020. The general conclusion is that recently, under the positive influence of numerous macro and micro factors, trade efficiency in Serbia has increased. The impact of Covid-19 on trade efficiency in Serbia is negligible. It has been largely compensated by increased electronic sales.

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Analysis of the efficiency of financial institutions in Serbia based on the OCRA method

Cited by 5 publications

References 13 publications

Analysis Of The Efficiency Of Insurance Companies In Serbia

Analysis Of The Efficiency Of Insurance Companies In Serbia

Evaluation of the efficiency of banks in Serbia using the MABAC method

Analysis of trade efficiency in Serbia based on the MABAC method

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