Principal components analysis (PCA) is often used as a dimensionality reduction technique. A small number of principal components is selected to be used in a classification or a regression model to boost accuracy. A central issue in the PCA is how to select the number of principal components....

The confirmed approach to choosing the number of principal components for prediction models includes exploring the contribution of each principal component to the total variance of the target variable. A combination of possible important principal components can be chosen to explain a big part...

The contemporary scientific and technological revolution and industrial transformation are accelerating an overall industrial evolution. The integration of industrial, innovation, and service chains (three-chain) has become an important measure for countries around the world for assessing and...

The current study investigates the impact of foreign direct investment on the growth of Namibia's economy from 1990 to 2020 using the ARDL cointegration method. The results reveal that FDI, the interactive variable of FDI and trade openness, and other macroeconomic variables such as domestic...

The authors replicate and extend the Monte Carlo experiment presented in Doz, Giannone and Reichlin (A Quasi-Maximum Likelihood Approach For Large, Approximate Dynamic Factor Models, Review of Economics and Statistics, 2012) on alternative (time-domain based) methods for extracting dynamic...

Digitization in the tourism sector beside hospitality information systems application as its integral part has also led to the application of on-line booking systems, which enable the booking of the desired tourist arrangement via the Internet. Consequently, the emergence of the e-booking...

By its emissions of greenhouse gases, economic activity is the source of climate change which affects pandemics that in turn can impact badly on economies. Across the three highly interacting disciplines in our title, time-series observations are measured at vastly different data frequencies:...

The worldwide adoption of sustainable models has been motivated by an increasing awareness of the negative environmental impacts caused by unsustainable economic development models. The paper explores the relationship between the tourism industry and sustainable development goals during the...

El presente artículo analiza el papel de los modelos de ecuaciones estructurales en el campo de las ciencias de la administración. Se presenta el enfoque por el quese incorpora el uso de la técnica al campo de la administración y, adicionalmente, se genera una comparativa entre los...

Previous studies have shown the importance of gender diversity for good corporate governance, although in developing countries a gap is observed in correlating compliance with corporate governance principles and board composition. Our study examines the influence of the board composition,...