Cyber Risk-driven Innovation in the Modern Data Economy

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Serval ID
serval:BIB_199C41D40028
Type
Article: article from journal or magazin.
Collection
Publications
Title
Cyber Risk-driven Innovation in the Modern Data Economy
Journal
SSRN Electronic Journal
Author(s)
Gomes Orlando, Mihet Roxana, Rishabh Kumar
ISSN
1556-5068
Publication state
Published
Issued date
2023
Language
english
Abstract
How and to what extent does cyber risk impact firms in the modern data economy? When firms face a high risk of losing their data and algorithms, this unequivocally leads to reduced knowledge stocks, decreased productivity, and slower overall economic growth. Notwithstanding, the empirical analysis pursued in this study suggests that cyber risk may also mitigate some of its own adverse effects as it ex-ante prompts digitally-savvy firms to pursue digital innovation that can enhance productivity in other domains. We observe increased innovation rates in response to higher cyber risk, driven primarily by data-intensive firms and by firms which intensively pursue in-house cyber security protection rather than third-party cyber security delegation. In a second stage, we develop a structural heterogeneous-firm growth model of the data economy to illustrate and explain the channels through which cyber risk exerts influence over firms' productivity, profits and growth.
Keywords
Data economy, cyber risk, growth, artificial intelligence, innovation
Create date
30/01/2024 21:45
Last modification date
30/01/2024 21:48
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