The application of AI is expected to enable new opportunities for innovation management
and reshape innovation practice in organizations. Our exploratory study among 150 AI …

Despite the importance of artificial intelligence (AI) proficiency as a determinant for AI
adoption, there remains a lack of empirical research studying competencies needed to …

Artificial intelligence (AI) will have a substantial impact on firms in virtually all industries.
Without guidance on how to implement and scale AI, companies will be outcompeted by the …

AI has been described as a 'black box', suggesting that the internal algorithmic computations
for arriving at the results they provide are very opaque (Rai, 2020). A multifaceted definition …

This research introduces two artefacts that contribute to the common understanding of
Artificial Intelligence (AI) and aim to provide guidance for designing AI applications. On the …

Purpose In today's rapidly changing business environment, the case for accelerated
innovation processes has become increasingly compelling at both a theoretical and …

The main purpose of this chapter is to discuss AI-driven innovations. Generally, the links
between AI technology, AI usage, and organizational performance remain unclear. To …

Artificial Intelligence has gradually materialized as an independent research field within
information systems and business domains. The new forms of work evolving in the business …

This paper, which is based on results of a questionnaire sent out to employees, aims to
evaluate the level of digital and artificial intelligence (AI) maturity among businesses in a …

Purpose The current evolution of artificial intelligence (AI) practices and applications is
creating a disconnection between modern-day information system (IS) research and …