The Development of Al in Multinational Enterprises - Effects upon Technological Trajectories and Innovation Performance
Matheus Leusin ()
No 2201, Bremen Papers on Economics & Innovation from University of Bremen, Faculty of Business Studies and Economics
This paper investigates how the development of AI-related inventions by Multinational Enterprises (MNEs) affects their technological trajectories and innovative performance. I combine a matched-pair analysis with an extension of the Difference-in-Difference method to analyse these effects over a novel panel dataset of MNEs. This dataset links over 30 thousand MNEs to more than 10 million patents that these companies owned directly or indirectly (i.e., through their subsidiaries) in the period from 2011 to 2019. The results indicate that MNEs introducing AI-related inventions increase the relatedness of subsequent inventions by about 10 per cent compared to a control group. These results are robust when accounting for a self-selection bias. AI is thus being used to reinforce the existing technological trajectories, rather than to disrupt them. The results also suggest that the number of subsequent inventions is about 40 per cent higher for MNEs that introduce AI during the observation period compared to the control group, without significant effects on the intensity of R&D expenditures per invention. It is argued that this increase in innovative performance is linked not only to knowledge dynamics created by learning about AI but also by AI's technical potential to be used for learning.
Keywords: Technological trajectory; Relatedness; Artificial Intelligence; Innovative performance (search for similar items in EconPapers)
JEL-codes: D22 L25 O14 O33 (search for similar items in EconPapers)
Pages: 59 pages
New Economics Papers: this item is included in nep-ino, nep-int, nep-sbm and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
https://media.suub.uni-bremen.de/bitstream/elib/58 ... Leusin%2c%20ierp.pdf
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:atv:wpaper:2201
Access Statistics for this paper
More papers in Bremen Papers on Economics & Innovation from University of Bremen, Faculty of Business Studies and Economics Contact information at EDIRC.
Bibliographic data for series maintained by Matheus Eduardo Leusin ().