For organizations, the development of new business models and competitive advantages
through the integration of artificial intelligence (AI) in business and IT strategies holds …

This systematic literature review synthesizes the conceptualizations of ethical principles in AI
auditing literature and the knowledge contributions to the stakeholders of AI auditing. We …

The integration of AI has ushered in a new era of enhanced reliability in digital offerings,
optimization of supply chain processes, and real-time access to invaluable data and …

This study outlines the future research opportunities related to Generative Artificial
Intelligence (GenAI) in innovation management. To this end, it combines a review of the …

Recently, the domain of artificial intelligence (AI) has experienced a profound transformation
with the emergence of foundation models as a new paradigm for developing AI systems …

Data-centric artificial intelligence (data-centric AI) represents an emerging paradigm that
emphasizes the importance of enhancing data systematically and at scale to build effective …

A number of articles are increasingly raising awareness on the different uses of artificial
intelligence (AI) technologies for customers and businesses. Many authors discuss about …

To support manufacturing firms in realising the value of Artificial Intelligence (AI), we
embarked on a six-year process of research and practice to enhance the popular and widely …

AI and data are key strategic resources and enablers of the digital transition. Artificial
Intelligence (AI) and data are also intimately related to a company's environment, social, and …

Artificial intelligence (AI), which refers to both a research field and a set of technologies, is
rapidly growing and has already spread to application areas ranging from policing to …