Drivers of Advanced Digital Technologies

Ozlem Fikirli () and Hasan Sahin ()
Additional contact information
Ozlem Fikirli: Bartin University, Department of Economics
Hasan Sahin: Ankara University, Department of Economics

World Journal of Applied Economics, 2024, vol. 10, issue 2, 43-54

Abstract: Advancements in digital technologies, especially computer and information systems, force firms to adopt them in their production processes. Artificial intelligence, cloud computing, big data analytics, robotics, smart devices, and blockchain are the leading advanced technologies. This study explores the drivers of firms’ adoption of these technologies by estimating a multivariate probit model utilizing a Eurobarometer dataset. A statistically significant and positive correlation between the error terms of all models indicates that investigating the adoption of all advanced digital technologies together is more appropriate than independent analyses. Drivers of advanced digital technologies appear similar with decisive factors in using new technologies, and implementation of any type of innovation significantly increases the probability of adoption. The other determinants are the firm size, interaction with international markets, and the network structure of the market in which firms operate. Furthermore, location positively impacts the adoption of cloud computing and big data analytics, while it exerts no significant influence on the adoption of other types of advanced digital technologies.

Keywords: Digital technology; Technology diffusion; Multivariate probit model (search for similar items in EconPapers)
JEL-codes: D22 D83 O33 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journal.econworld.org/index.php/econworld/article/view/246/94 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ana:journl:v:10:y:2024:i:2:p:43-54

DOI: 10.22440/wjae.10.2.1

Access Statistics for this article

World Journal of Applied Economics is currently edited by Unal Tongur

More articles in World Journal of Applied Economics from WERI-World Economic Research Institute Contact information at EDIRC.
Bibliographic data for series maintained by Unal Tongur ().