116 research outputs found
Shareholder value creation in Japanese banking
AbstractThis paper advances the study of Fiordelisi and Molyneux (2010) by examining the shareholder value efficiency and its determinants for a large sample of Japanese banks between 1999 and 2011. A new, specifically tailored measure of the Economic Value Added approach, based on the shadow price of equity, is developed in order to account for specific characteristics of the Japanese banking system. This new “shareholder value measure” is then used in a dynamic panel data model as a linear function of various bank-risk, bank-specific, and macroeconomic variables. This study finds that cost efficiency gains, credit risk and bank size are the most important factors in explaining the shareholder value creation in Japanese banking. Cost efficiency changes are also found to significantly influence cost of equity capital
Szerbia államiságának kezdetei
The author describes the rising of the constitutionalism of Serbia in this paper. First he introduces the Slavic peoples and nations. The next chapters contain the history of the development of the uniform Serbian state. The author writes the political biography of the most important Serbian kings like Stefan Nemanja and Stefan Dusan "the Great". Nemanja established the state and the dynasty of the Nemanjics in the 12'h century. The golden age of the kingdom was in the middle of the le century during the rule of Stefan Dusan who became an emperor in 1346. After his death the Serbian Empire fell into pieces. The author pays attention on the legislation, the law and the jurisdiction of the state as well. Finally the Serbian Kingdom was occupied by the Turkish Empire in the 15" century
Measuring Reliability and Validity of Operator - Mining Machine System’s Characteristics
Mining is widely recognized as a high-risk industry with elevated accident rates, yet the ergonomics and safety issues of machinery in open-pit mining operations remain underexplored in previous research. Therefore, this paper aims to examine the reliability and validity of the characteristics of operator-mining machine systems, based on a questionnaire survey conducted among operators in several Serbian open-pit mining companies. Descriptive statistics were first applied to analyse operators’ and machines’ characteristics. Reliability analysis using Cronbach's Alpha identified and eliminated three questions that did not meet acceptable thresholds. Factor analysis was performed to assess construct validity, and after analysis, one questionnaire item has been removed. The final set of questions was grouped into four groups, each containing one or two components, establishing the instrument’s reliability and validity. This research contributes to the understanding of ergonomic characteristics of operator-mining machine systems and shows that factors such as seat adjustability characteristics, armrests adjustability, vibrations in the cabin, and hand- and foot-operated controls are significant in providing a foundation for improving workplace conditions in open-pit mining environments. These results lay the groundwork for future research, such as regression analysis and/or confirmatory factor analysis, or further studies with larger samples
Contigency of employees' training
In order to be competitive in the market, many companies must, besides product quality, constantly monitor the efficiency of their organization and its employees. Factor analysis can reduce the number of significant areas, by grouping some of them into influential contingent factors that help in monitoring of the situation. Also, for good and reliable planning, it is important to know how the areas are correlated with each other, to which correlation analysis contributes. This paper aims to analyze the data collected from the survey, conducted on a sample of 56 companies operating in Serbia, and to find influential factors. Descriptive statistics and data reliability were first performed and after that by factor analysis the data were divided into groups of influencing factors and then the correlation between the data was examined. The obtained results indicate that it is possible to reduce 20 examined traits to 5 influential factors, and the correlation analysis shows the importance of employee training on level of innovation in processes and products and faster and appropriate reaction to solving and preventive problems
Measuring Reliability and Validity of Operator - Mining Machine System’s Characteristics
Mining is widely recognized as a high-risk industry with elevated accident rates, yet the ergonomics and safety issues of machinery in open-pit mining operations remain underexplored in previous research. Therefore, this paper aims to examine the reliability and validity of the characteristics of operator-mining machine systems, based on a questionnaire survey conducted among operators in several Serbian open-pit mining companies. Descriptive statistics were first applied to analyse operators’ and machines’ characteristics. Reliability analysis using Cronbach's Alpha identified and eliminated three questions that did not meet acceptable thresholds. Factor analysis was performed to assess construct validity, and after analysis, one questionnaire item has been removed. The final set of questions was grouped into four groups, each containing one or two components, establishing the instrument’s reliability and validity. This research contributes to the understanding of ergonomic characteristics of operator-mining machine systems and shows that factors such as seat adjustability characteristics, armrests adjustability, vibrations in the cabin, and hand- and foot-operated controls are significant in providing a foundation for improving workplace conditions in open-pit mining environments. These results lay the groundwork for future research, such as regression analysis and/or confirmatory factor analysis, or further studies with larger samples
Contigency of employees' training
In order to be competitive in the market, many companies must, besides product quality, constantly monitor the efficiency of their organization and its employees. Factor analysis can reduce the number of significant areas, by grouping some of them into influential contingent factors that help in monitoring of the situation. Also, for good and reliable planning, it is important to know how the areas are correlated with each other, to which correlation analysis contributes. This paper aims to analyze the data collected from the survey, conducted on a sample of 56 companies operating in Serbia, and to find influential factors. Descriptive statistics and data reliability were first performed and after that by factor analysis the data were divided into groups of influencing factors and then the correlation between the data was examined. The obtained results indicate that it is possible to reduce 20 examined traits to 5 influential factors, and the correlation analysis shows the importance of employee training on level of innovation in processes and products and faster and appropriate reaction to solving and preventive problems
Excavator Operators’ Working Conditions and Its’ Failure Rates Prediction by Artificial Neural Network Modelling
Prior studies have demonstrated the importance of maintenance in rais- AQ1
ing mining equipment performance levels together with pollution prevention and
cleaner production. However, operators’ working conditions have not been studied enough in the previous research. In that aim, in this paper, firstly, operators’ AQ2
working conditions in 10 excavators working in Serbia have been analyzed. Later
on, the study uses artificial neural networks (ANN) for developing a quantitative
model for estimating the failure rate of excavators. In order to avoid potential indirect financial losses, which sometimes exceed 15,000 euros per hour, the duration
times of 590 excavator downtimes, measured over 198 days at the Serbian mining
sites, were used as an input to the ANN. This enables the classification of failures
lasting more than an hour based on the preceding 14 days. The most common
type of downtime was found to be technological, according to a Pareto analysis
of the observed data. The findings demonstrate that the non-linear link between
excavation operations and excavator failure rates could be mapped using ANN
modeling. The results also showed that operators’ working conditions very often
have exceeded the boundaries prescribed by regulation, and the suggested ANN
model offers a precise estimate tool for predicting excavator failure rates during
the planning stage. The future research avenue is to continue monitoring working
conditions and failures and to predict in real time precisely the length of time that
an excavator would be down and to find deeper interrelations between operators’
working conditions and an excavator’s downtime
Does more (or less) lead to violence? Application of the relative deprivation hypothesis on economic inequalityinduced conflicts
This article employs the relative deprivation theory in order to explain the formation of violent conflicts
induced by an increase in economic inequality. By using the frustration-aggression hypothesis,
the author attempts to illustrate how the rise in inequality, caused by changed economic structure,
can be transformed into violence, often accompanied by material and human casualties. In addition
to the theoretical framework, the article relies on empirical studies carried out by using relative deprivation
as a starting point. Finally, the author observes indications that inequality-induced conflicts
could soon take place in developed and developing countries, which is why new models of development
and economic policies must be implemented and thus used as conflict-preventing mechanisms
Has God returned to Europe? The effect of different types of religiosity on European identity
A thesis still present in Western civilization, primarily in Europe, is the thesis
of secularization. Nevertheless, according to many studies, regardless of secularization processes, religion is an important factor in individual identities.
This paper examines the relationship between European identity and religiosity. The author used empirical data from the 2017 European Values Study to
demonstrate the predictability of different types of religiosity on primordial-type European identity at the individual level. Regarding religiosity, the author tested three categories of religiosity types and their individual effect. For
this purpose, multilevel modeling was used. The findings show that religiosity
is a strong predictor of primordial-type European identity among individuals
from across Europe. Significant differences exist between the predictability of
different types of religiosity, with belief in God and very rare praying being the
most significant
Differences in Kaizen implementation between countries and industry types in multinational supply chain
Previous research shows that Kaizen's benefits are multiple and evident,
but its practices in the supply chain have been sufficiently examined now.
Conversely, we are witnessing numerous issues in contemporary global
supply networks. In this survey, after conducting a literature review, three
research questions regarding Kaizen modes of usage were formulated and
tested on the sample of 195 enterprises that are part of the global supply
chain, located in 31 countries, and active in two different types of
industries – aircraft, and transportation. A combined approach containing
descriptive statistics, reliability, factor analysis, and statistical hypothesis
testing by Kruskal-Wallis one-way ANOVA and Mann-Whitney U tests
were used. Results show significant differences between Kaizen practices
applied in countries such as Italy, the United Kingdom, Canada, the USA,
Japan, and China, where national and corporate cultures differ. Kaizen
implementation significantly differs between companies operating in the
aircraft and transportation sectors, which is unsurprising since aircraft
industry has a higher formalization level. The goal to determine the
differences in Kaizen practices around the globe was fulfilled since
statistically significant differences indicate the importance of the
contextual factors and connect adverse and Kaizen events
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