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Comparison of the efficiency measurement of the conventional and Islamic banks

100%

Musa H. , Natorin V. , Musova Z. , Durana P.

nr 1

29-58

Research background: Islamic banks appeared on the world scene as active players over two decades ago. Many of the principles upon which Islamic banking is based have been commonly accepted all over the world. Financial institutions driven by Islamic principles acquire new clientele without excessive marketing, due to preservation of conservative values. Contrary to the conventional investment banks, their value is based on real money, and not on virtual activities from swap and derivative assets. Competition between conventional (or traditional) and Islamic banks is increasing every day, moreover, Islamic financial institutions are more resistant to the crisis. Our study contains analysis and comparison of economic efficiency of the conventional and Islamic banks. Besides the fact that traditional and Islamic banks apply inputs differently, the reason of better efficiency of Islamic banks may be connected with different approach to the risk management and control of the banking operations by the Sharia commission. Purpose of the article: The main aim of the article is to compare the economic efficiency of the conventional and Islamic banks in Europe. Methods: To achieve the aim of the paper, firstly the selected financial indicators of traditional and Islamic banks in Europe were compared. The second, the analysis of the economic efficiency of the selected 1460 conventional and Islamic financial institutions using DEA methods was conducted. Findings & Value added: Research results indicated methodological differences in the economic efficiency measuring in the Islamic banks. At the same time, the higher economic efficiency of Islamic banks was confirmed. The results are motivating for the follow-up investigation into the causes of higher efficiency of Islamic banks compared to traditional banks.

Comparison of factors influencing liquidity of European Islamic and conventional banks

88%

Musa H. , Musova Z. , Natorin V. , Lazaroiu G. , Martin Boda M.

Oeconomia Copernicana

2021

tom 12

nr 2

375-398

Research background: The innovation in Sharīʻah-compliant banking products has resulted in the rapidly increasing size of assets in Islamic banks worldwide. The assets of such banks have been growing twice as fast as those of conventional banks. Islamic banks do not depend on conventional interest, speculation, or complex derivatives stemming from banking operations. Instead, their actions in respect of profit/risk sharing, and the clarity of the contract are consistent with Islamic Sharīʻah principles, which seek to promote a more equal society. Purpose of the article: This research aims to identify and compare factors influencing the liquidity of Islamic and conventional banks in Europe. Candidate factors are sought amongst profitability, credit quality, credit expansion and capital adequacy indicators. Methodology: First, relevant financial ratios for 249 observations on Islamic banks and 2,306 observations on conventional banks are selected and compared for the period 2013?2017. Second, liquidity is explained separately for each type of banks by panel data regression to identify its determinants in a comparative context. Findings & value added: The results indicate that the impact of the net interest margin on the liquidity ratio of Islamic banks is insignificant, which is obviously due to the prohibition of the use of interest (riba). To the contrary, in conventional banking a higher net interest margin results in a reduction in liquidity. Capital adequacy has a positive influence upon liquidity in both types of banks, but in Islamic banking, the influence is 5.4 times greater. The findings strongly suggest that the liquidity of Islamic and conventional banks is affected by different factors.

The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals

45%

Lăzăroiu G. , Gedeon T. , Rogalska E. , Andronie M. , Frajtova Michalikova K. , Musova Z. , Iatagan M. , Uță C. , Michalkova L. , Kovacova M. , Ștefănescu R. , Hurloiu I. , Zabojnik S. , Stefko R. , Dijmărescu A. , Dijmărescu I. , Geamănu M.

Oeconomia Copernicana

2024

tom 15

nr 1

27-58

Research background: Deep and machine learning-based algorithms can assist in COVID-19 image-based medical diagnosis and symptom tracing, optimize intensive care unit admission, and use clinical data to determine patient prioritization and mortality risk, being pivotal in qualitative care provision, reducing medical errors, and increasing patient survival rates, thus diminishing the massive healthcare system burden in relation to severe COVID-19 inpatient stay duration, while increasing operational costs throughout the organizational management of hospitals. Data-driven financial and scenario-based contingency planning, predictive modelling tools, and risk pooling mechanisms should be deployed for additional medical equipment and unforeseen healthcare demand expenses. Purpose of the article: We show that deep and machine learning-based and clinical decision making systems can optimize patient survival likelihood and treatment outcomes with regard to susceptible, infected, and recovered individuals, performing accurate analyses by data modeling based on vital and clinical signs, surveillance data, and infection-related biomarkers, and furthering hospital facility optimization in terms of intensive care unit bed allocation. Methods: The review software systems employed for article screening and quality evaluation were: AMSTAR, AXIS, DistillerSR, Eppi-Reviewer, MMAT, PICO Portal, Rayyan, ROBIS, and SRDR. Findings & value added: Deep and machine learning-based clinical decision support tools can forecast COVID-19 spread, confirmed cases, and infection and mortality rates for data-driven appropriate treatment and resource allocations in effective therapeutic and diagnosis protocol development, by determining suitable measures and regulations and by using symptoms and comorbidities, vital signs, clinical and laboratory data and medical records across intensive care units, impacting the healthcare financing infrastructure. As a result of heightened use of personal protective equipment, hospital pharmacy and medication, outpatient treatment, and medical supplies, revenue loss and financial vulnerability occur, also due to expenses related to hiring additional staff and to critical resource expenditures. Hospital costs for COVID-19 medical care, screening, treatment capacity expansion, and personal protective equipment can lead to further financial losses while affecting COVID-19 frontline hospital workers and patients.