Identifying the performance factors of organizations is utmost importance for labor studies both empirical and theoretical research. The present study investigates essential intra- extra-organizational in determining firms using European Company Survey (ECS) 2019 framework. evolutionary computation method genetic algorithm machine learning Bayesian additive regression trees (BART), are used to ...

Financial returns exhibit stylized facts such as leptokurtosis, skewness and heavy-tailness. Regarding this behavior, in this paper, we apply multivariate generalized hyperbolic (mGH) distribution for portfolio modeling and performance evaluation, using conditional value at risk (CVaR) as a risk measure and allocating best weights for portfolio selection. Moreover, a robust portfolio optimizati...

this research uses computational modeling to explore another method to increase diesel engine performance while maintaining low pollutant emission levels. previous studies have shown that injection-rate profiles and injector configurations play important roles on the performance and emissions of particulate and nox in di diesel engines. since the most important engine design parameters, includi...

present research is primarily concerned with study of the relationships between the variables knowledge management, organizational learning, and organizational performance in the shabestar branch of islamic azad university. the required data, based on the research model, was gathered through distribution of a questionnaire among the employees of this university. to examine the relationships bet...