A multistage analysis of predicting public resilience of impactful social media crisis communication in flooding emergencies
The desire of people affected by crises or disasters is to return to their normal lives quickly and easily. Social media provides a platform for crisis response which helps recovery and resilience building. Therefore, this study aims to investigate how social media crisis response and information sh...
| Main Authors: | , , , , , |
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| Format: | Article |
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Institute of Electrical and Electronics Engineers
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/100191/ |
| _version_ | 1848863258820214784 |
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| author | Bukar, Umar Ali Sidi, Fatimah Jabar, Marzanah A. Nor, Rozi Nor Haizan Abdullah, Salfarina Ishak, Iskandar |
| author_facet | Bukar, Umar Ali Sidi, Fatimah Jabar, Marzanah A. Nor, Rozi Nor Haizan Abdullah, Salfarina Ishak, Iskandar |
| author_sort | Bukar, Umar Ali |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The desire of people affected by crises or disasters is to return to their normal lives quickly and easily. Social media provides a platform for crisis response which helps recovery and resilience building. Therefore, this study aims to investigate how social media crisis response and information shaped people’s resilience-building, either affected by the flooding or not. Data collected in Malaysia after flooding consist of 375 observations. A multi-stage analysis which consists of partial least square structural equation modeling (PLS-SEM), partial least square predictions algorithm (PLS-predict), and artificial neural networks (ANN), are employed to examine the outcome of social media crisis communications. The result shows support for the significance of crisis, crisis response, social media interaction, and information seeking and sharing are not. Furthermore, the predictive relevance of the model is strong, and the root mean square error (RMSE) obtained from ANN analysis indicated a predictive model capacity. Hence, the findings demonstrated the impact of social media crisis responses that crisis management and communication may use in decision-making. |
| first_indexed | 2025-11-15T13:30:04Z |
| format | Article |
| id | upm-100191 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:30:04Z |
| publishDate | 2022 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1001912024-07-15T03:36:26Z http://psasir.upm.edu.my/id/eprint/100191/ A multistage analysis of predicting public resilience of impactful social media crisis communication in flooding emergencies Bukar, Umar Ali Sidi, Fatimah Jabar, Marzanah A. Nor, Rozi Nor Haizan Abdullah, Salfarina Ishak, Iskandar The desire of people affected by crises or disasters is to return to their normal lives quickly and easily. Social media provides a platform for crisis response which helps recovery and resilience building. Therefore, this study aims to investigate how social media crisis response and information shaped people’s resilience-building, either affected by the flooding or not. Data collected in Malaysia after flooding consist of 375 observations. A multi-stage analysis which consists of partial least square structural equation modeling (PLS-SEM), partial least square predictions algorithm (PLS-predict), and artificial neural networks (ANN), are employed to examine the outcome of social media crisis communications. The result shows support for the significance of crisis, crisis response, social media interaction, and information seeking and sharing are not. Furthermore, the predictive relevance of the model is strong, and the root mean square error (RMSE) obtained from ANN analysis indicated a predictive model capacity. Hence, the findings demonstrated the impact of social media crisis responses that crisis management and communication may use in decision-making. Institute of Electrical and Electronics Engineers 2022-05-23 Article PeerReviewed Bukar, Umar Ali and Sidi, Fatimah and Jabar, Marzanah A. and Nor, Rozi Nor Haizan and Abdullah, Salfarina and Ishak, Iskandar (2022) A multistage analysis of predicting public resilience of impactful social media crisis communication in flooding emergencies. IEEE Access, 10. pp. 57266-57282. ISSN 2169-3536 https://ieeexplore.ieee.org/document/9779732 10.1109/ACCESS.2022.3176963 |
| spellingShingle | Bukar, Umar Ali Sidi, Fatimah Jabar, Marzanah A. Nor, Rozi Nor Haizan Abdullah, Salfarina Ishak, Iskandar A multistage analysis of predicting public resilience of impactful social media crisis communication in flooding emergencies |
| title | A multistage analysis of predicting public resilience of impactful social media crisis communication in flooding emergencies |
| title_full | A multistage analysis of predicting public resilience of impactful social media crisis communication in flooding emergencies |
| title_fullStr | A multistage analysis of predicting public resilience of impactful social media crisis communication in flooding emergencies |
| title_full_unstemmed | A multistage analysis of predicting public resilience of impactful social media crisis communication in flooding emergencies |
| title_short | A multistage analysis of predicting public resilience of impactful social media crisis communication in flooding emergencies |
| title_sort | multistage analysis of predicting public resilience of impactful social media crisis communication in flooding emergencies |
| url | http://psasir.upm.edu.my/id/eprint/100191/ http://psasir.upm.edu.my/id/eprint/100191/ http://psasir.upm.edu.my/id/eprint/100191/ |