Artificial intelligence (AI) is considered a mechanism that can improve supply chain
resilience. Organisations around the world are investing in implementing AI systems to …

This study aims to investigate the main technological and socio-environmental factors
influencing the adoption intentions with regard to AI-based technologies at the …

Artificial Intelligence (AI) has revolutionized marketing domain, driving rapid digital
transformation by enhancing processes, accelerating growth, and transforming the business …

Explainable artificial intelligence (XAI) is an important advance in the field of machine
learning to shed light on black box algorithms and thus a promising approach to improving …

This study provides a detailed bibliometric analysis of AI in marketing by analyzing 328
existing studies using performance analysis and science mapping. Prominent topics in the …

The Covid-19 pandemic accelerated the need for higher levels of digitalisation in
businesses, acting as a catalyst for the adoption of new technologies such as artificial …

The revolutionary breakthroughs of artificial intelligence (AI) are swiftly and extensively
invading many domains of human activity, serving as the central driving force of the next …

There is a great challenge in the business sector to adopt new technologies that boost
companies to break into Industry 4.0, especially to obtain the capacity to adopt and develop …

This chapter considers the supply network 5.0 project and the innovation models to help
realize it successfully. It also considers an innovation acceptance model to analyze all …

Artificial intelligence (AI) is increasingly discussed as an innovation enabler for the
enhancement of circular economy (CE) approaches in industries. The further deployment of …