Selection of Key Performance Indicators of Chosen Industry and their Application in Formation of Creditworthy Model

Horváthová, Jarmila; Mokrišová, Martina; Suhányiová, Alžbeta; Suhányi, Ladislav

doi:10.1016/s2212-5671(15)01641-x

Cited by 10 publications

(4 citation statements)

References 1 publication

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“…Several other authors (e.g. Brida & Risso, 2009, Horvathova, 2015, Jaforullah, 2015 also found evidence for long-or short-term dependence between tourist expenditure and economic performance and growth.…”

Section: Theoretical Backgroundmentioning

confidence: 90%

Tourist spending and productivity of economy in OECD countries – research on perspectives of sustainable tourism

Gavurová¹,

Suhányi²,

Rigelský³

2020

JESI

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Tourism represents the sector of services which is developing the most considerably and dynamically. However, its development is influenced by: trends in globalization, process of demographic aging, economic parameters, geographical conditions of a country, consumers, and other aspects. The following aspects contribute to its development: new destinations, markets, innovative activities in service sector, and also technological development. Tourism plays a significant economic role in a process of sustainable regional development, where it helps to develop low-growth regions. Monitoring and quantification of tourism outputs is a very complicated process. There also absents a quality database, which complicates a quantification of sector's efficiency and a creation of national and international benchmarking indicators that inform of sustainable tourism level. These aspects demand a realization of multi-dimensional analyses, which would examine causal relations between tourism factors and economic parameters of a country. The study's motivation was driven by all of the above-mentioned facts. It aims at researching an influence of tourism spending on OECD countries' productivity. Consequently, it evaluates their potential of the sector's sustainability. Multiple analytical procedures, which were determined by database availability, were performed in order to achieve the, research aim. The following analyses were performed besides the descriptive statistics: variance analysis of researched variables between individual years and OECD countries, context analysis, regression and cluster analyses. There were analysed 5 variables that characterize individual types of tourist spending: Business Tourism Spending, Domestic Tourism Spending, Leisure Tourism Spending, Outbound Travel & Tourism Expenditure , Visitor Exports (Foreign Spending) and one variable that characterizes productivity during 2010 -2018 for all OECD countries. Spending variables were standardized per 1,000 inhabitants of a given country and productivity was measured by GDP per capita, while both groups of variables were provided in USD (fair value). The analyses' results provided interesting findings. The regression models' outputs confirmed an influence of tourist spending on a country's productivity. All variables that indicate spending are significant. The cluster analysis's results allowed a selection of countries into four groups. There is two huge clusters and other two clusters represent only one countries in specific cluster. Luxemburg and Iceland give us different values than countries in other clusters.

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Section: Theoretical Backgroundmentioning

confidence: 90%

Tourist spending and productivity of economy in OECD countries – research on perspectives of sustainable tourism

Gavurová¹,

Suhányi²,

Rigelský³

2020

JESI

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“…Os indicadores financeiros são expressos normalmente em moeda (Vargas et al, 2016) podendo ser extraídos das demonstrações financeiras e indicando geralmente grau de liquidez, rentabilidade e endividamento (Fischmann & Zilber, 2000). Essa abordagem econômica e financeira alcançada através da análise de demonstrações é a mais comumente utilizada para proceder à avaliação de desempenho, focam na maximização do lucro e na geração de valor para os investidores (Horváthová et al, 2015).…”

Section: Indicadores De Desempenhounclassified

“…Apesar de serem amplamente utilizados pelas empresas como indícios do desempenho organizacional, os indicadores financeiros possuem falha quanto a sua capacidade preditiva, ou seja, apresenta um panorama já ocorrido na empresa, comprometendo a tomada de decisão estratégica quando utilizados de forma isolada (Horváthová et al, 2015).…”

Section: Indicadores De Desempenhounclassified

Relação entre o disclosure de indicadores de desempenho não financeiros e o valor de mercado das empresas de capital aberto

Romão¹,

Callado²

2023

CYN

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O desenvolvimento deste artigo objetiva verificar a relação entre a evidenciação de indicadores de desempenho não financeiros e o valor de mercado das empresas de capital aberto listadas na Bolsa de Valores do Brasil (B3). Nesse sentido, foram analisados os relatórios de sustentabilidade, anual, da administração e de release de resultados de 109 empresas com ações listadas na B3, a fim de constituir o percentual de divulgação de indicadores não financeiros (DINF) de cada organização que integrou a amostra de pesquisa. Para alcance do objetivo traçado realizaram-se os procedimentos metodológicos de análise de conteúdo, e posteriormente um teste de mediana (Kruskal-Wallis), utilizou-se ainda gráfico na forma box-plot para construir a percepção acerca da diferença existente entre os grupos. Os resultados apontam que, num aspecto geral, as empresas com maiores níveis de divulgação de indicadores não financeiros de desempenho, tendem a possuir um valor de mercado maior do que aquelas empresas que praticam uma divulgação mais superficial.

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“…The selected financial indicators reflected the companies' solvency, profitability, operational capabilities, business development capacity, structural soundness, and capital expansion capacity. Kiselakova et al (2018) and Horváthová et al (2015) used the Creditworthy Model (CWM), one of the modern models of enterprise performance evaluation, considered to be one of the most suitable methods for comparison business performance of enterprises. CWM has its performance portfolio, which consists of financial performance indicators and enterprise success indicators (Horváthová et al, 2015).…”

Section: Business Performance Measurement and Prediction -Related Workmentioning

confidence: 99%

Composite Financial Performance Index Prediction – A Neural Networks Approach

Popa

Bogdan

et al. 2021

Journal of Business Economics and Management

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Financial indicators are the most used variables in measuring the business performance of companies, signaling about the financial position, comprehensive income, and other significant reporting aspects. In a competitive environment, the performance measurement model allows performing comparative analysis in the same industry and between industries. This paper aims to design a composite financial index to determine the financial performance of listed companies, further used in predicting business performance through neural networks. Principal components analysis was used to build a composite financial index, employing four traditional accounting indicators and four value-based indicators for the period 2011–2018. Five experiments were conducted to predict business performance through the composite financial index. The results showed that observations from two years, of the first three experiments, indicate a better predictive behavior than the same experiments using observations from one year. Therefore, we concluded that observations from more than one year are necessary to predict the value of the financial performance index. Findings led us to the conclusion that recurrent neural networks model predicted better financial performance composite index when taken into consideration more real data for the financial performance index (2012–2018) instead of just for one year (2018).

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Selection of Key Performance Indicators of Chosen Industry and their Application in Formation of Creditworthy Model

Cited by 10 publications

References 1 publication

Tourist spending and productivity of economy in OECD countries – research on perspectives of sustainable tourism

Tourist spending and productivity of economy in OECD countries – research on perspectives of sustainable tourism

Relação entre o disclosure de indicadores de desempenho não financeiros e o valor de mercado das empresas de capital aberto

Composite Financial Performance Index Prediction – A Neural Networks Approach

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