Abstract:
Artificial Intelligence is developing and increasingly affecting many different aspects of current society, and business is among them. In particular, this new technology leads to innovation outcomes thanks to its different tools and applications, and this have been confirmed by aca- demia and business practitioners as well. Probably due to the youth of the topic, a gap in literature seems to exist concerning a collection of contributions addressing the relationship between AI and innovation management, which appears very fragmented, and for this reason a systematic literature review will be conducted in this study, with the aim of presenting AI implications towards innovation management issues, clustering them by seven organizational functions, namely HR, R&D, Finance, Operations, Marketing, Supply Chain and Strategic Plan- ning, thus providing insights for both research and executives. AI’s developments over time will be pointed out, along with the consequent effects they have had on firms. Indeed, if initially AI has been just implemented as a mean for improving the traditional way of carrying out busi- ness practices, nowadays some AI applications seem to have the potentialities to completely reshape the organizations tasks and boundaries. Therefore, managers should take into ac- count these implications in order to maintain their firm’s competitiveness.
