Risk Governance and Cybercrime: The Hierarchical Regression Approach

Olayinka  Erin; Adebola  Kolawole; Abdurafiu Noah

doi:10.1186/s43093-020-00020-1

Risk Governance and Cybercrime: The Hierarchical Regression Approach

Olayinka Erin, Adebola Kolawole, Abdurafiu Noah

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Abstract

This study examines the impact of risk governance on cybercrime of selected listed firms in the Nigerian financial institutions. To achieve this, a sample size of 50 listed companies from the Nigerian financial sector was selected for the years 2013–2017, resulting in 250 observations. The study employed the use of hierarchical regression analysis to test the impact of risk governance variables (Chief Risk Officer_centrality, Enterprise Risk Management_index, Chief Risk Officer_presence, Board Risk Committee_size, Board Risk Committee_activism, and Board Risk Committee_independence) and other control variables such as corporate governance variables (Board Size and Board of Directors_independence) and firm characteristics variables (Firm size and firm age) on cybercrime. The study observed from the findings that almost all the explanatory variables present a positive and significant relationship with cybercrime, except the Chief Risk Officer_presence, firm age and Board Risk Committee_size which revealed an insignificant relationship with cybercrime. The study concludes that risk governance variables and other variables are likely to reduce and minimize the impact of cybercrime on the sampled firms used in this study.

Original language	English
Article number	12
Number of pages	15
Journal	Future Business Journal
Volume	6
DOIs	https://doi.org/10.1186/s43093-020-00020-1
Publication status	Published - 28 May 2020

Bibliographical note

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords

Cybercrime
Chief Risk Offcer
Enterprise Risk Management
Financial loss
Nigerian financial sector
Risk governance

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1186/s43093-020-00020-1Licence: CC BY

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Cite this

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abstract = "This study examines the impact of risk governance on cybercrime of selected listed firms in the Nigerian financial institutions. To achieve this, a sample size of 50 listed companies from the Nigerian financial sector was selected for the years 2013–2017, resulting in 250 observations. The study employed the use of hierarchical regression analysis to test the impact of risk governance variables (Chief Risk Officer_centrality, Enterprise Risk Management_index, Chief Risk Officer_presence, Board Risk Committee_size, Board Risk Committee_activism, and Board Risk Committee_independence) and other control variables such as corporate governance variables (Board Size and Board of Directors_independence) and firm characteristics variables (Firm size and firm age) on cybercrime. The study observed from the findings that almost all the explanatory variables present a positive and significant relationship with cybercrime, except the Chief Risk Officer_presence, firm age and Board Risk Committee_size which revealed an insignificant relationship with cybercrime. The study concludes that risk governance variables and other variables are likely to reduce and minimize the impact of cybercrime on the sampled firms used in this study.",

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Risk Governance and Cybercrime: The Hierarchical Regression Approach

Abstract

Bibliographical note

Keywords

UN SDGs

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