Abstract Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to
significantly improve resilience of supply chains and to facilitate more effective management …

The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …

Artificial intelligence (AI) has been heralded by many as the next source of business value.
Grounded on the resource-based theory of the firm and on recent work on AI at the …

The data-centric revolution generally celebrates the proliferation of business analytics and
AI in exploiting firm's potential and success. However, there is a lack of research on how the …

Today, most organizations are undergoing a digital transformation. At the same time, the
gravity of environmental issues has put sustainability and the circular economy at the top of …

Digital technologies (DTs), such as the Internet of Things (IoT), big data, and data analytics,
are considered essential enablers of the circular economy (CE). However, as both CE and …

Achieving environmental equity is important for ensuring resource utilization efficiency and
realizing sustainable development. Using panel data of 286 cities in China from 2011 to …

Data-driven analytics and artificial intelligence (AI) have become the most crucial aspects of
today's industrial marketing management. Although many firms have embraced analytics …

Amidst the transformative digital age, characterized by groundbreaking innovations and
digital integration, this study makes an attempt to explore the multipronged connection …

This paper focuses on the critical role of business-to-business (B2B) high-tech small and
medium-sized enterprises'(SMEs) dynamic capabilities and strategic agility during the …