Digital Repository

Female underrepresentation in the cybersecurity workforce – a study on cybersecurity professionals in Sri Lanka

Show simple item record

dc.contributor.author Withanaarachchi, A. S.
dc.contributor.author Vithana, N.
dc.date.accessioned 2023-05-03T04:28:27Z
dc.date.available 2023-05-03T04:28:27Z
dc.date.issued 2022
dc.identifier.citation Withanaarachchi, A. S., & Vithana, N. (2022). Female underrepresentation in the cybersecurity workforce – a study on cybersecurity professionals in Sri Lanka. Information & Computer Security, 30(3), 402–421. https://doi.org/10.1108/ics-08-2021-0129 en_US
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/26147
dc.description.abstract Purpose This study aims to identify factors impacting female underrepresentation among cybersecurity professionals in Sri Lanka. Design/methodology/approach The study is based on survey data from 75 female professionals working in the cybersecurity sector of Sri Lanka. Partial least squares structural equation modelling was used to analyse the data. Findings Results showed that female self-efficacy on their capabilities, family, organisational culture, mentors and role model act as antecedents for women’s perceived motivation to select cybersecurity as a career option. Originality/value The study advances the literature on workforce gaps in the cybersecurity sector and claims that there is no single factor causing significant female underrepresentation in the cybersecurity industry. While clarifying the complexity of such factors, the study presents how such factors can systematise to attract females into the cybersecurity field. en_US
dc.publisher Information & Computer Security en_US
dc.subject Sri Lanka, PLS-SEM, Cybersecurity, Female representation en_US
dc.title Female underrepresentation in the cybersecurity workforce – a study on cybersecurity professionals in Sri Lanka en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Digital Repository


Browse

My Account