Cyber Risk-driven Innovation in the Modern Data Economy

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Etat: Public
Version: de l'auteur⸱e
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ID Serval
serval:BIB_199C41D40028
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Cyber Risk-driven Innovation in the Modern Data Economy
Périodique
SSRN Electronic Journal
Auteur⸱e⸱s
Gomes Orlando, Mihet Roxana, Rishabh Kumar
ISSN
1556-5068
Statut éditorial
Publié
Date de publication
2023
Langue
anglais
Résumé
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.
Mots-clé
Data economy, cyber risk, growth, artificial intelligence, innovation
Création de la notice
30/01/2024 20:45
Dernière modification de la notice
30/01/2024 20:48
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