Affiliation:
1. TIMES2 ‐ Solvay Brussels School of Economics and Management Université libre de Bruxelles Brussels Belgium
2. Dyson School of Applied Economics and Management ‐ Cornell SC Johnson College of Business Cornell University Ithaca New York USA
Abstract
AbstractWe investigate firm decisions to adopt artificial intelligence (AI) technology and how adoption is sourced: by purchasing commercial readymade software, by developing or customizing solutions in‐house, or both. Using a cross‐sectional data set of 3143 firms from across Europe, we examine the extent to which sourcing strategies exhibit complementarity or substitution. We find that adoption of AI using readymade software as a sourcing strategy is now increasingly commonplace, but differs across industrial sectors. Further, complementarities between sourcing strategies are common across sectors, though with some differences in strength and some exceptions. Our results show that sourcing strategies play an important role in shaping AI adoption decisions among firms.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献