Developing a New Model for Cyber Security Behavior of E-Hailing Services: A Conceptual Paper

E-hailing industry is a new concept in the taxi services whereby private cars can register with online transport. Despite the rapid popularity of e-hailing services, there are major public concerns pertaining to cyber security behavior issues both to the passengers and the drivers such as hit and run accident, robbery, rape, sexual harassment, murder, rude drivers and grab driver scams. Hence, this study intends to investigate the predictors of cyber security behaviors of e-hailing services in Malaysia. The prevailing factors to be examined are perceived threats, perceived privacy, fraud victimization, response efficacy, perceived vulnerability, security self-efficacy, perceived benefit and government policy. The research methods to be used are quantitative and qualitative research design. The sampling technique is to collect data passengers and drivers of e-hailing services operating in Malaysia. The measurement of the twelve main variables consists of 90 items. The data will be collected using self-administered survey and analyzed using SMART PLS 3.0. The expected finding is a new cyber security behavior model for Malaysia, provide new inputs for e-hailing regulation and policy improvement in line with Industrial Revolution 4, new suggestions for e-hailing market segmentation according gender and generation gaps, enhancement of the existing applications according to research findings, set new guidelines on the development of similar application in line with industrial Revolution 4 and the installation of panic button in e-hailing automobile. From the pilot study results, all scales were found to be consistent and reliable with Cronbach's alpha readings above 0.70.