Multiple regression is a family of statistics used to investigate the relationship between a set
of predictors and a criterion (dependent) variable. This procedure is applicable in a variety of …

The linear model often serves as a starting point for applying statistics in psychology. Often,
formal training beyond the linear model is limited, creating a potential pedagogical gap …

This study came with the aim of identifying the impact of the green supply chain on
sustainability. This research targeted managers at the senior and middle levels of the …

Multicollinearity occurs when the multiple linear regression analysis includes several
variables that are significantly correlated not only with the dependent variable but also to …

The aim of this study is to identify the effect of supply chain resilience as measured by supply
chain flexibility, supply chain collaboration, and supply chain agility on supply chain …

The changes in the business environment and the increase in competition have led
organizations to focus greatly on improving their organizational performance in order to …

Competitiveness of firms is studied mostly from a strategic management perspective. It is
only rarely a subject of analysis from the viewpoint of operations. In this paper, we aim to …

Prior literature has suggested that teachers who are confident in their abilities to teach,
assess, and manage classroom behavior may be more likely to engage in practices that …

This study aims to investigate the relationships between COVID-19-related psychological
distress, social media addiction, COVID-19-related burnout, and depression. The research …

Increasing regulatory obligations to adapt and execute environmentally friendly operations
make it critical for businesses to pursue strategies that can strengthen their competitive edge …