Abstract The use of Artificial Intelligence (AI) in Digital technologies (DT) is proliferating a
profound socio-technical transformation. Governments and AI scholarship have endorsed …

The interaction with social robots is supposed to be a unique and emotionally charged
activity. Based on the diffusion of innovations literature, subjective feelings represent a driver …

Algorithms in the age of artificial intelligence (AI) constantly transform customer behaviour,
marketing programs, and marketing strategies in industrial markets. However, algorithms …

Highlights•Blockchain and AI integration enhances healthcare security and
efficiency.•Synergy aims for a secure healthcare metaverse via blockchain–AI.•Addressing …

Digital technologies are transforming workforce management and impacting practically
every aspect of organisations. The need for digital transformation (DT), that is, the ability to …

The rapid development of Fintech (financial technology) urges Fintech platforms to better
understand users' perceptions and behaviors toward Fintech use. Based on the theoretical …

Purpose Machine learning (ML) techniques are increasingly important in enabling business-
to-business (B2B) companies to offer personalized services to business customers. On the …

Purpose While the idea of the resilience of information systems security exists, there is a lack
of research that conceptualizes, defines and specifies a way to measure it as a dynamic …

Problem statement: Standardisation of AI fairness rules and benchmarks is challenging
because AI fairness and other ethical requirements depend on multiple factors, such as …

While humans share many physical characteristics, they are not replicas of one another in
appearance. Despite their uniqueness, common features mean that comparisons can be …