The Predictors of Cybersecurity Behavior in E-Hailing Services: The Mediating Role of Perceived Threat
Nik Kamariah Nik Mat, Yaty Sulaiman, Selvan Perumal, Wahida Ghazi
School of Business Management, Universiti Utara Malaysia
E-hailing services have been on the rise since the advent of smartphones in 2009. It started with Uber services, which led to other e-hailing services in Malaysia, like Grabcar, Mycar and others. Despite the mounting popularity of e-hailing, its services are not without complaints or tragic occurrences. There have been cases reported of harassment, rape and even murder of passengers. Hence, the purpose of this study examines the predictors of e-hailing services with special attention to the mediating role of perceived threat. The study employed the quantitative research approach, where a questionnaire consisting of a total of 46 items was developed. A total of 400 responses were collected from the distribution of 400 questionnaires, representing a response rate of 58.75 per cent. The data was analysed using Structural-Equation Modelling (SEM) through the SmartPLS software. The finding shows that perceived threat is a significant direct predictor of cybersecurity behavior, while perceived vulnerability, perceived benefit and self-efficacy are direct predictors of the perceived threat and indirect significant predictors of cybersecurity, mediated by a perceived threat. Government policy has no significant direct or indirect impact on cybersecurity behavior. The findings imply that while e-hailing services have their benefits, customers need to be alert and vigilant at all times due to the vulnerability and threats that may come with their usage.
Keywords: E-hailing, Cybersecurity behavior, Perceived vulnerability, Government policy, Perceived benefit