Fernandez De Arroyabe, Ignacio, F.A. Arranz, Carlos ORCID: 0000-0002-6866-0684, Arroyabe, Marta F. and Fernandez de Arroyabe, Juan Carlos ORCID: 0000-0003-1451-3782 (2022) Cybersecurity capabilities and cyber-attacks as drivers of investment in cybersecurity systems: A UK survey for 2018 and 2019. Computers and Security, 124:102954. pp. 1-17. ISSN 0167-4048 (doi:https://doi.org/10.1016/j.cose.2022.102954)

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Abstract

Our study explores how cyber-capabilities and cyber-attacks drive investment in cybersecurity systems. We assume that cybersecurity investment is a strategic decision in the organizations. To analyze this research question, we make use of the Cyber Security Breaches Survey data, with a sample consisting of 4,163 UK organizations in the periods 2018 to 2019, and employ machine learning techniques (ANN and K-mean cluster). The study extends the current literature on cybersecurity systems and improves our understanding of it in several ways. First, it provides evidence for how the cybersecurity systems are developed in organizations. Second, regarding what factors affect investment in cybersecurity systems, it shows that organizations invest in cybersecurity based on their cybersecurity capabilities and the experienced cyber-attacks. Third, from a managerial point of view, the paper contributes to understanding cybersecurity within the management of the organization.

Item Type:	Article
Uncontrolled Keywords:	cybersecurity capabilities; cyber-attacks; organizations’ strategy; cybersecurity investment; cybersecurity systems; machine learning
Subjects:	H Social Sciences > HC Economic History and Conditions H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Business Faculty of Business > Department of Systems Management & Strategy Faculty of Business > Networks and Urban Systems Centre (NUSC) Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Last Modified:	29 Nov 2022 11:24
URI:	http://gala.gre.ac.uk/id/eprint/38105

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