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 …
AW Alkhatib, M Valeri - European Journal of Innovation Management, 2024 - emerald.com
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 …
L Li, J Lin, Y Ouyang, XR Luo - Technological Forecasting and Social …, 2022 - Elsevier
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 …
AS Balakrishnan, U Ramanathan - Supply Chain Management: An …, 2021 - emerald.com
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 …