Human-centric cyber security: Applying protection motivation theory to analyse micro business owners’ security behaviours

Abstract

Purpose

The current advancements in technologies and the internet industry provide users with many innovative digital devices for entertainment, communication and trade. However, simultaneous development and the rising sophistication of cybercrimes bring new challenges. Micro businesses use technology like how people use it at home, but face higher cyber risks during riskier transactions, with human error playing a significant role. Moreover, information security researchers have often studied individuals’ adherence to compliance behaviour in response to cyber threats. The study aims to examine the protection motivation theory (PMT)-based model to understand individuals’ tendency to adopt secure behaviours.

Design/methodology/approach

The study focuses on Australian micro businesses since they are more susceptible to cyberattacks due to the least security measures in place. Out of 877 questionnaires distributed online to Australian micro business owners through survey panel provider “Dynata,” 502 (N = 502) complete responses were included. Structural equational modelling was used to analyse the relationships among the variables.

Findings

The results indicate that all constructs of the protection motivation, except threat susceptibility, successfully predict the user protective behaviours. Also, increased cybersecurity costs negatively impact users’ safe cyber practices.

Originality/value

The study has critical implications for understanding micro business owners’ cyber security behaviours. The study contributes to the current knowledge of cyber security in micro businesses through the lens of PMT.

Citation

Jamil, H., Zia, T., Nayeem, T., Whitty, M.T. and D'Alessandro, S. (2024), "Human-centric cyber security: Applying protection motivation theory to analyse micro business owners’ security behaviours", Information and Computer Security, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ICS-10-2023-0176