TY - JOUR
AU - Marfua Alanazi
AU - Mark Freeman
AU - Holly Tootell
AB - Young adults aged between 18 and 30 are likely to encounter increasing cyber threats. Understanding the cybersecurity behaviors of young adults, and identifying the measures and factors that can help reduce cyber threats is thus crucial. Since the existing studies have not sufficiently explored these factors, this study adopted a socio-behavioral perspective. It employed the primary constructs of the theory of planned behavior (TPB) with other factors, including perceived awareness and knowledge of cyber threats, to predict young adults' behavioral intent to practice cybersecurity behaviors. Data were collected from a random sample of 1581 young adults studying at Technical and Vocational Training Corporation (TVTC) colleges in Saudi Arabia through an online survey and were analyzed using the least-squares partial structural equation modeling (SEM).
BT - Elsevier BV
DA - 2022-11
DO - 10.1016/j.chb.2022.107376
N1 - The results revealed that attitude (ATT), subjective norm (SN), and perceived behavioral control (PBC) strongly influenced young adults’ intentions to practice cybersecurity behavior (IPC). Also important for IPC was the perceived awareness of the consequences of the risks of cyber threats and the need for cybersecurity behavior (PCST). Moreover, while PCST and IPC were directly related to practicing cybersecurity behaviors, PBC was not. Future studies may benefit from examining cultural, and socio-demographic aspects that may influence CSB.
N2 - Young adults aged between 18 and 30 are likely to encounter increasing cyber threats. Understanding the cybersecurity behaviors of young adults, and identifying the measures and factors that can help reduce cyber threats is thus crucial. Since the existing studies have not sufficiently explored these factors, this study adopted a socio-behavioral perspective. It employed the primary constructs of the theory of planned behavior (TPB) with other factors, including perceived awareness and knowledge of cyber threats, to predict young adults' behavioral intent to practice cybersecurity behaviors. Data were collected from a random sample of 1581 young adults studying at Technical and Vocational Training Corporation (TVTC) colleges in Saudi Arabia through an online survey and were analyzed using the least-squares partial structural equation modeling (SEM).
PY - 2022
T2 - Elsevier BV
TI - Exploring the factors that influence the cybersecurity behaviors of young adults
UR - https://www.sciencedirect.com/science/article/pii/S0747563222001984
SN - 0747-5632
ER -