... in absence of preparation usually yields poor financial results. Originality/value This study uses quantile regression to identify the nonlinear Industry 4.0 impacts. The methodology enhances both empirical and theoretical knowledge on the digital transformation among SMEs. Industry 4.0...

... on noneconomic indicators, especially social progress, while also assessing the moderating impact of information and communication technology ( ICT ) on these dynamics. Design/methodology/approach This study is quantitative as it adopts a Panel Quantile Regression data approach to find the nonlinear impact...

... position. Design/methodology/approach Employing annual data from 2012 to 2022 for 142 public firms and 660 private firms in a large emerging economy, we use quantile regression within a panel data framework to study the heterogeneous effects of debt determinants, incorporating firm and time random...

...Saif Ullah; Mehwish Jabeen; Muhammad Farooq; Asad Afzal Hamayun Purpose The relationship between idiosyncratic risk and stock return has been debated for decades; this study reexamined this relationship in the Pakistani stock market by using the quantile regression approach along with the prospect...

... approaches (ordinary least squares (OLS) and quantile regression) using STATA software for a sample of 1,208 firm-year observations over the period of 2017–2018. Findings Using Hofstede’s (2001) cultural dimensions (power distance, individualism, masculinity, uncertainty avoidance and long-term...