Bukar Umar Ali, Jabar Marzanah A, Sidi Fatimah, Nor Rnh Binti, Abdullah Salfarina, Ishak Iskandar
Department of Software Engineering and Information System, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Serdang, 43400 Malaysia.
Computer Science Unit, Department of Mathematical Science, Faculty of Science, Taraba State University, Jalingo, Nigeria.
J Comput Soc Sci. 2022;5(1):781-809. doi: 10.1007/s42001-021-00151-7. Epub 2021 Nov 1.
Community resilience following a crisis has become essential to avoid panic. In contrast, social media usage has been practical to improve public resilience. However, the impacts of social media crisis response and social interaction have not been fully addressed. Therefore, this study aims to investigate the effects of social media crisis communication on public resilience. The study data were collected through an online medium, and the final responses consist of 393 observations, mainly of Malaysians who have experienced Covid-19 isolation, quarantine, or lockdown. The assessments of the reflective measurement models based on path analysis in PLS-SEM are reliable and valid. The Cronbach's alpha, rho_A, composite reliability, and discriminant validity revealed acceptable values. PLS prediction algorithm was run to assess the model's predictive power, and the findings show that the predictive relevance is satisfactory. Furthermore, the IPMA was applied to evaluate the model's usefulness, which compares the level of the variables from the performance scale mean value against the importance level. The result shows that all the variables are useful and reveal good performance. Thus, crisis management and communication activities should pay more attention to these variables for effective social media crisis communication. Thus, the study offers theoretical and practical implications in the field of social media-based crisis communication and crisis informatics.
危机后的社区恢复力对于避免恐慌至关重要。相比之下,社交媒体的使用已被证明有助于提高公众的恢复力。然而,社交媒体危机应对和社交互动的影响尚未得到充分探讨。因此,本研究旨在调查社交媒体危机传播对公众恢复力的影响。研究数据通过在线方式收集,最终得到393份回复,主要来自经历过新冠疫情隔离、检疫或封锁的马来西亚人。基于偏最小二乘结构方程模型(PLS-SEM)路径分析的反映性测量模型评估是可靠且有效的。克隆巴赫系数、rho_A、组合信度和区分效度均显示出可接受的值。运行PLS预测算法以评估模型的预测能力,结果表明预测相关性令人满意。此外,应用重要性-绩效分析(IPMA)来评估模型的实用性,即将绩效量表均值中的变量水平与重要性水平进行比较。结果表明所有变量都是有用的,并且表现良好。因此,危机管理和传播活动应更加关注这些变量,以实现有效的社交媒体危机传播。因此,本研究在基于社交媒体的危机传播和危机信息学领域具有理论和实践意义。