In this article, the authors develop an econometric model to determine the impact of professional telework activities on the degree of employees' performance, based on the ability to adapt to the new labor system. The data were collected using a questionnaire addressed to employees of companies...

The study examines the intention of stock investors to adopt robo-advisers (also known as automated investing services) in financial investment decisions. Using an adapted questionnaire, we analyze data from 637 useable surveys. The study uses variance-based partial least squares structural...

Amid growing concern over global climate change, the steel industry, which has historically made significant contributions to facilitating modern life by providing products that make the civilized world possible, has been singled out as being responsible for 7% to 9% of global carbon dioxide...

Artificial intelligence (AI) has radically changed companies' vision of business development, based on its widespread assimilation in key organisational processes. However, in organisational practice, the implementation of AI has generated major challenges, such as those related to the high need...

This study examines the factors affecting Ethiopia's private bank performance. The study followed a causational research design employing data from 2010-to 2021. The study unit of analysis is Eleven private banks in Ethiopia. The study also uses PLS-SEM with Gaussian copula (GC) estimation...

In this study, we design stepwise ordinary least squares regression models using various amalgamations of firm features, loan characteristics and macroeconomic variables to forecast workout recovery rates for defaulted bank loans for private non-financial corporates under downturn conditions in...

Management of financial risks and sound decision making rely on the accurate information and predictive models. Drawing useful information efficiently from big data with complex structures and building accurate models are therefore crucial tasks. Most commonly used methods for statistical...

Many financial and economic time series exhibit nonlinear patterns or relationships. However, most statistical methods for time series analysis are developed for mean-stationary processes that require transformation, such as differencing of the data. In this paper, we study a dynamic regression...