Autori
Colombelli, Alessandra
D'Amico, Elettra
Belitski, Maksim

Titolo
Evaluating Internal and External Knowledge Sources in Adopting Artificial Intelligence.
Periodico
Università degli studi di Torino. Dip. Di Economia e Statistica Cognetti de Martiis. Working paper series
Anno: 2023 - Volume: 8 - Fascicolo: 15 - Pagina iniziale: 1 - Pagina finale: 31

Artificial intelligence has emerged as a key technology that individuals and businesses utilize to grow and innovate with the paucity of understanding what drives its adoption. This study examines how investments in internal R&D and Information and Communication Technologies (ICT), combined with open innovation through knowledge spillovers, R&D acquisitions, and collaborations with external partners, can encourage firms to embrace AI. Drawing from the Technology – Organizational and Environmental (TOE) context framework and integrating it with the recombinant knowledge perspective, we assess the interplay between a firm's organizational and technological contexts, as well as the impact of knowledge spillovers and collaborations. This assessment is based on micro-level data from UK firms spanning 2004-2020. Our findings highlight the distinct influence of investments in knowledge and capabilities, in conjunction with collaborative engagements on a firm's propensity to adopt AI.



Testo completo: https://www.est.unito.it/do/home.pl/Download?doc=/allegati/wp2023dip/wp_15_2023.pdf

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