Template-type: ReDIF-Paper 1.0
Author-Name: D’Amico, Elettra  
Author-Email: elettra.damico@polito.it
Author-Name: Belitski, Maksim    
Author-Email: m.belitski@reading.ac.uk 
Author-Name: Colombelli, Alessandra  
Author-Email: alessandra.colombelli@polito.it
Author-Workplace-Name: University of Turin
Author-Workplace-Homepage: http://www.est.unito.it/
Title: Evaluating Internal and External Knowledge Sources in Adopting Artificial Intelligence.
Abstract: 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.
Length: pages 31
Creation-Date: 2023-10
File-URL: https://www.est.unito.it/do/home.pl/Download?doc=/allegati/wp2023dip/wp_15_2023.pdf
File-Format: Application/PDF
Handle: RePEc:uto:labeco:202303