Purpose The purpose of this study is to investigate how digital technologies are used for
facilitating knowledge sharing and decision-making through enhanced coordination and …

In the past decade, current literature and businesses have drawn attention to Artificial
Intelligence (AI) tools and in particular to the advances in machine learning techniques …

Big data analytics (BDA) is a revolutionary approach for sound decision-making in
organizations that can lead to remarkable changes in transforming and supporting the …

Big data (BD) analytics has been increasingly gaining attraction in both practice and theory
in light of its opportunities, barriers and expected benefits. In particular, emerging economics …

Purpose This study explores the connection between intellectual capital (IC) components
and the competitive advantage (CA) of the hospitality sector in Jordan through the mediating …

In this study, we explore the impacts of big data's main characteristics (ie, volume, variety,
and velocity) on innovation performance (ie, innovation efficacy and efficiency), which …

Big data initiatives are critical for transforming traditional organizational decision making into
data-driven decision making. However, prior information systems research has not paid …

Grounded in gestalt insight learning theory and organizational learning theory, we collected
data from 280 middle and top-level managers to investigate the impact of each big data …

Purpose The purpose of this paper is to examine the role of digital supply chain (DSC)
technologies in automotive supply chain resilience (SCR) practices to improve the supply …

This paper proposes that the relationship between business analytics and innovative
performance is somewhat more complex than originally thought, as firms still struggle to …