Evaluation of Financial Performance of Enterprises in IT Sector

Malichová, Eva; Ďurišová, M

doi:10.1016/s2212-5671(15)01625-1

Cited by 23 publications

(18 citation statements)

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“…According to previous studies as, Chen and Wei (2017), Javaid and Alalawi (2018), Malichov and Mária (2015), Robin et al (2018), and Yahya et al (2017) who reported that the determinants of bank profitability are classified into two groups: external and internal determinants. The Internal determinants are sometimes called (bank-specific) and the external ones are called (micro-economic) determinants of banks' profitability.…”

Section: Introductionmentioning

confidence: 99%

Internal and external determinants of listed commercial banks' profitability in India: dynamic GMM approach

Homaidi

Almaqtari

Yahya

et al. 2020

IJMEF

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This study aims to examine the impact of internal and external determinants of 37 commercial banks' profitability listed on Bombay stock exchange (BSE), India for a period from 2008 to 2017. Both static models (pooled, fixed and random effects) and generalised method of moments (GMM) are used. The results show that bank size, assets quality, liquidity, assets management, and net interest margin are important internal determinants which affect ROA. Capital adequacy, deposits, operation efficiency, gross domestic product and inflation rate are found to have a negative significant impact on ROA. Further, the results indicate that capital adequacy, bank size, operation efficiency, gross domestic product and inflation rate have a significant negative influence on ROE. However, assets quality and assets management exhibit a positive effect on ROE but liquidity, deposits, net interest margin, and non-interest income have an insignificant impact on ROE.

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Section: Introductionmentioning

confidence: 99%

Internal and external determinants of listed commercial banks' profitability in India: dynamic GMM approach

Homaidi

Almaqtari

Yahya

et al. 2020

IJMEF

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“…Also, they suggested with a policy perspective that the success in economic growth and the increase in country's competitiveness for the Baltic States can be achieved by using R&D expense more efficiently. Malichová and Ďurišová (2015) estimated the financial performance of companies operating in the sector of IT using the setting of financial indicators such as return on assets (ROA), return on equity (ROE), return on sales (ROS), and so on. By utilizing those financial indicators, they investigated the operating results of enterprises and suggested the identification of important features to accomplish high performance with continuation of finding their changes of financial performance in the sector of IT.…”

Section: Introductionmentioning

confidence: 99%

Relation of R&D expense to turnover and number of listed companies in all industrial fields

Park

Lee

Youngjoo

et al. 2018

Journal of Open Innovation: Technology, Market, and Complexity

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In this research, we studied the relation of research and development (R&D) investment to turnover and number of listed companies by using the financial information of publicly listed enterprises in all industrial fields of the world from 2007 to 2015. First of all, the present condition (as of 2017) of number and distribution of publicly listed enterprises was investigated. Secondly, the industrial areas having top 10 average turnovers and R&D expenses during 9 years (2007~2015) were analyzed by using their descriptive statistics and CAGR values. Finally, the analyses of correlation and linear regression were performed by using average R&D expense (independent variable) and average turnover or the number of listed enterprises (dependent variables). In other words, two models with different combination of independent and dependent variables (Model A: R&D expense and turnover, Model B: R&D expense and number of listed firms) were developed for the statistical analyses. As a result, it was confirmed that both the turnover and the number of listed companies were influenced by the R&D investment because the coefficients of determination for Model A and Model B were 0.686 and 0.612, respectively (both pvalues < 2.2 × 10 − 16 ). From the results of this study, it is expected that the unlisted firms (e.g., start-up companies) can build the basis of their growth and innovation when they invest in R&D higher inducing the increases in (1) turnover and (2) probability of becoming a listed firm. Thus, the financial information of enterprises can be utilized effectively as the quantitative evidence in order to develop the research model and methodology related to their growth and innovation.

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“…In the case of enterprises, it is important in terms of their performance [25]: the recruitment of employees, appropriate access to employees [26]- [28], correct motivation [29,30], stimulating business culture [31], [32] people have been able to adapt quickly to new working conditions and not to increase fluctuations. This is of course also influenced by the quality of teaching and access of lecturers [33], the suitability of the methods used [34], or the use of technologies that support the education of disadvantaged people in the labor market, for example people with disabilities [35], [36].…”

Section: Discussionmentioning

confidence: 99%

Sustainability of Employment Using the Tools of Active Labor Market Policy

Mičiak¹,

Kucharčíková²,

Tokarčíková³

2019

Proceedings of the International Conference on Economics, Management and Technology in Enterprises 2019 (EMT 2019)

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The government of each state strives for the decrease of the unemployment to the lowest level possible, and thus for achieving of the natural unemployment rate. Slovakia, after joining the European Union, also had to adapt to this trend and to develop even more effort for solving the issue of a high unemployment rate. One of the possible approaches to promoting the employment of people without work is the use of active labor market policy instruments. The tools are intended for enterprises and individuals and should encourage enterprises to create new jobs or individuals to show more initiatives. An example for Slovakia, as well as for other EU states, is represented by the Nordic countries. In these countries, the active labor market policies have been functioning for long years. In the paper, the approaches of Slovakia, Sweden, EU and OEDC countries are identified and analyzed pertaining to the tools of active labor market policies in the context of sustainability. Based on the analysis of available foreign and domestic statistics, we found that Slovakia spends little finance on labor market policy compared to EU or OECD countries. Most of the resources are dedicated to passive labor market policy, i.e. unemployment support or early retirement, and only a minority of active programs. Slovakia has the most support for active labor market policy subsidies for enterprises and activation work for long-term unemployed, but attention has also to be paid to education that is under-funded in the long run.

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Evaluation of Financial Performance of Enterprises in IT Sector

Cited by 23 publications

References 0 publications

Internal and external determinants of listed commercial banks' profitability in India: dynamic GMM approach

Internal and external determinants of listed commercial banks' profitability in India: dynamic GMM approach

Relation of R&D expense to turnover and number of listed companies in all industrial fields

Sustainability of Employment Using the Tools of Active Labor Market Policy

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