Generalized linear mixed models (GLMMs) estimate fixed and random effects and are
especially useful when the dependent variable is binary, ordinal, count or quantitative but …

Purpose This study aims to investigate the key factors that influence the behavioural
intention of doctors to adopt the knowledge sharing driven blockchain technology in …

Purpose In this research, we seek to understand the effects of artificial intelligence (AI) and
knowledge management (KM) processes in enhancing proactive green innovation (PGI) …

Irregular precipitation regimes have important effects on the increase in the incidence and
severity of meteorological disasters, the use of water resources, the decrease in the variety …

The principle of invariance is a mandatory methodological requirement for the psychological
measures, even when items such as self-concept measures frequently present asymmetric …

The “change management” process is a helpful approach for changing the environment of
business companies to go ahead in the upcoming days. It has been known that the …

Featured Application The proposed methodology is an application for monitoring people,
tracking, and localization, which is evaluated over several challenging benchmark datasets …

In the present paper, two important measures of skewness and kurtosis under indeterminacy
are presented. The basic measures to evaluate the nature of the wind speed in the presence …

In the evolving digital work environment, the rising prevalence of generative AI tools
presents a complex challenge for practitioners: deciding whether to allow or restrict their use …

The pandemic COVID-19 brings with it the need for studies and tools to help those in charge
make decisions. Working with classical time series methods such as ARIMA and SARIMA …