Employees' behavior and corporate social responsibility (CSR) can affect firms' profitability
and increase the corporate economic burden. This current research endeavors to explore …

Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and
statistical inference. There has been a recent upsurge in the application of latent class …

The UN's sustainable development goals underscore engaging supply-chain stakeholders
with environmentally friendly practices. Small-and medium-size enterprises (SMEs) are key …

The extant literature has outlined the significance of collaborative intelligence stemming
from effective partnership between artificial intelligence (AI) systems and human workers to …

Purpose This study aims to examine the role of an overall model fit assessment in the
context of partial least squares path modeling (PLS-PM). In doing so, it will explain when it is …

As frontline education providers, teachers have encountered many challenges since the
outbreak of the COVID-19 pandemic. To better understand teacher well-being during this …

Despite the widespread and rising popularity of structural equation modeling (SEM) in
psychology, there is still much confusion surrounding how to choose an appropriate sample …

The purpose of this paper is to provide a decision support system for managers to predict an
organization's probability of successful blockchain adoption using a machine learning …

Abstract Technological Pedagogical Content Knowledge (TPACK) is regarded as one of the
most important models describing teachers' competencies for successfully teaching with …

Internal organisational factors have been identified as barriers to adopt circular economy
(CE) practices in prior research. However, empirical evidence is limited to support this claim …