Financial performance drivers in <scp>BRICS</scp> healthcare companies: Locally estimated scatterplot smoothing partial utility functions

Azad, Md. Abul Kalam; Tan, Yong; Pimenta, Roberto da Costa

doi:10.1002/mcda.1761

Cited by 4 publications

(2 citation statements)

References 51 publications

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“…Financial Statistics serves as a health check for the Company and the company's financial well-being by measuring its performance and condition in defines financial statistical analysis as a method of determining a comparison on a balance sheet or income statement either in a company's personal financial statements or a combination of two company financial statements (Wanke et al, 2022). Financial statistics is a method by comparing the numbers in the financial statements as an assessment of the company's health condition.…”

Section: Financial Statistics and Profitabilitymentioning

confidence: 99%

The Impact of Lending Growth and Financial Statistics on Bank Profitability : The Moderating Role of Credit Risk

Salsabila,

Rhamdani,

Putri

et al. 2024

ijbesd

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The purpose of this study was to examine the effect of Lending Growth, BOPO, and CAR on Banking ROA with NPL as a moderating variable. The problem contained in this study is that there is a gap between the value of theory and the value of real practice based on the factors that create variations in ROA value. Indonesian banking companies for the period 2018-2022 published on the IDX website are used as the research population in this study. Selection of research samples through purposive sampling to obtain 19 companies. Panel Data Regression Analysis is a data analysis process that processes data using the Eviews 12 program. The level of loan, BOPO, and CAR are assumed to have an effect on bank profitability in this analysis. The effect of credit risk ratio amplifies the impact on the level of lending, BOPO, and CAR on profitability. The results of data analysis contain the statement that bank profitability can be influenced by lending and BOPO, but cannot be influenced by CAR. Similarly, the role of credit risk cannot moderate the effect of CAR on ROA but can weaken the effect of lending and BOPO on bank ROA.

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Section: Financial Statistics and Profitabilitymentioning

confidence: 99%

The Impact of Lending Growth and Financial Statistics on Bank Profitability : The Moderating Role of Credit Risk

Salsabila,

Rhamdani,

Putri

et al. 2024

ijbesd

View full text Add to dashboard Cite

show abstract

“…Despite BRICS relevance, the financial performance of their healthcare companies has been scarcely studied. The research presented in Wanke et al (2022), aims to fill this literature gap not only by focusing on the impacts of such diverse business environments on the financial performance of healthcare providers but also by proposing a novel approach to estimate an overall financial performance index based on weighted additive utility functions given a set of financial performance criteria.…”

Section: Contributionsmentioning

confidence: 99%

Multiple criteria decision making in health and medicine

Torre

2022

Multi Criteria Decision Anal

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In the literature a large number of researchers in decision sciences and operations research have studies methods, procedures, and algorithms designed to solve problems in health and medicine with multiple and conflicting criteria. Multiple criteria decision making (MCDM) or multiple criteria decision analysis (MCDA) is a sub-discipline of operations research with foundations in economics, management, mathematics, and psychology, and it is concerned with complex and multidimensional decisionmaking situations involving multiple and conflicting criteria, objectives, or attributes that have to combined or aggregated in order to choose or rank between alternatives There are several examples of MCDM problems in health and medicine dealing simultaneously with criteria such as cost, economic efficiency, satisfaction, optimal performance, capacity management, disease management, location selection, patient scheduling, resource scheduling, and many others. Considering multiple and conflicting criteria leads to more challenging but also more informed decision making models. This special issue includes contributions related to MCDM methods, techniques, models and their application to health and medicine in the following domains: MCDM multiple criteria decision aid, multiple objective optimization, goal programming, fuzzy and stochastic multiple objective optimization, fuzzy and stochastic goal programming, scheduling problems, facility management, disease and pandemics management, capacity planning, logistics and supply chain.

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The impact of Chinese airport infrastructure on airline pollutant emissions: A hybrid stochastic-neural network approach based on utility functions

Cui,

Antunes,

Wanke

et al. 2024

Journal of Environmental Management

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Financial performance drivers in BRICS healthcare companies: Locally estimated scatterplot smoothing partial utility functions

Cited by 4 publications

References 51 publications

The Impact of Lending Growth and Financial Statistics on Bank Profitability : The Moderating Role of Credit Risk

The Impact of Lending Growth and Financial Statistics on Bank Profitability : The Moderating Role of Credit Risk

Multiple criteria decision making in health and medicine

The impact of Chinese airport infrastructure on airline pollutant emissions: A hybrid stochastic-neural network approach based on utility functions

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