Cybersecurity Threats and Organisational Response: Textual Analysis and Panel Regression. Issue 1 (2nd January 2021)
- Record Type:
- Journal Article
- Title:
- Cybersecurity Threats and Organisational Response: Textual Analysis and Panel Regression. Issue 1 (2nd January 2021)
- Main Title:
- Cybersecurity Threats and Organisational Response: Textual Analysis and Panel Regression
- Authors:
- Jeyaraj, Anand
Zadeh, Amir
Sethi, Vikram - Abstract:
- ABSTRACT: This study examines the relationship between cybersecurity threats faced and cybersecurity response planned by organisations. Classifying cybersecurity threats into four types – physical threats, personnel threats, communication and data threats, and operational threats – this study examines organisational responses to such threats. Using textual data on cybersecurity threats and response gathered from the 10-K reports published by 87 organisations, topic modelling was conducted to assess the threats and response. A cross-sectional time-series regression model fitted on the topic weights showed that cybersecurity response was influenced by cybersecurity threats, beyond the time-invariant control and period variables. Specifically, physical threats and operational threats influenced the technical response; physical threats, communication and data threats, and operational threats influenced the non-technical response; and personnel threats influenced the overall response. Implications for research and practice are discussed.
- Is Part Of:
- Journal of Business Analytics. Volume 4:Issue 1(2021)
- Journal:
- Journal of Business Analytics
- Issue:
- Volume 4:Issue 1(2021)
- Issue Display:
- Volume 4, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 4
- Issue:
- 1
- Issue Sort Value:
- 2021-0004-0001-0000
- Page Start:
- 26
- Page End:
- 39
- Publication Date:
- 2021-01-02
- Subjects:
- Cybersecurity threats -- cybersecurity response -- topic modelling -- panel regression
Business intelligence -- Periodicals
Management -- Statistical methods -- Periodicals
Decision making -- Statistical methods -- Periodicals
658.403 - Journal URLs:
- http://www.tandfonline.com/ ↗
https://tandfonline.com/toc/tjba20/current ↗ - DOI:
- 10.1080/2573234X.2020.1863750 ↗
- Languages:
- English
- ISSNs:
- 2573-234X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 16956.xml