Summary of the accepted papers for this SI
| Title of the paper | Authors | Emerging technology | Emergency situations | Methodological approach |
|---|---|---|---|---|
| Supply chain resilience in mindful humanitarian aid organizations: the role of big data analytics | Dennehy, Denis; Oredo, John; Spanaki, Konstantina; Despoudi, Styliani; Fitzgibbon, Mike | Big data analytics | Humanitarian relief supply chains | Survey with Partial least squares structural equation modelling (PLS-SEM) |
| Managing emergency situations with lean and advanced manufacturing technologies: an empirical study on the Rumbia typhoon disaster | Chong, Alain; Pu, Xiaodie; Chen, Meng; Cai, Zhao; Tan, Kim Hua | Advanced manufacturing technologies (AMTs) | Typhoon disaster | Survey with archival data |
| Understanding analytics empowerment capability to tackle emergency situations | Akter, Shahriar; Bandara, Ruwan J.; Sajib, Shahriar | Big data analytics | Emergency service operations | Survey with partial least squares structural equation modelling (PLS-SEM) |
| The mitigating role of blockchain-enabled supply chains during the COVID-19 Pandemic | Lam, Hugo K. S.; Xiong, Yangchun; Kumar, Ajay; Ngai, Eric W.T.; Xiu, Chunyu; Wang, Xinyue | Blockchain | COVID-19 | Event study |
| Exploring the application of blockchain to humanitarian supply chains: insights from Humanitarian Supply Blockchain project | Baharmand, Hossein; Maghsoudi, Amin; Coppi, Giulio | Blockchain | Humanitarian supply chain | Focus group, semi-structured interviews |
| Improving emergency response operations in maritime accidents using social media with big data analytics: the MV Wakashio disaster case study | Dominguez-Péry, Carine; Tassabehji, Rana; Vuddaraju, Lakshmi Narasimaha Raju; Duffour, VIkhram | Big data analytics with social media | Maritime accidents | Secondary data |
| Title of the paper | Authors | Emerging technology | Emergency situations | Methodological approach |
|---|---|---|---|---|
| Supply chain resilience in mindful humanitarian aid organizations: the role of big data analytics | Dennehy, Denis; Oredo, John; Spanaki, Konstantina; Despoudi, Styliani; Fitzgibbon, Mike | Big data analytics | Humanitarian relief supply chains | Survey with Partial least squares structural equation modelling (PLS-SEM) |
| Managing emergency situations with lean and advanced manufacturing technologies: an empirical study on the Rumbia typhoon disaster | Chong, Alain; Pu, Xiaodie; Chen, Meng; Cai, Zhao; Tan, Kim Hua | Advanced manufacturing technologies (AMTs) | Typhoon disaster | Survey with archival data |
| Understanding analytics empowerment capability to tackle emergency situations | Akter, Shahriar; Bandara, Ruwan J.; Sajib, Shahriar | Big data analytics | Emergency service operations | Survey with partial least squares structural equation modelling (PLS-SEM) |
| The mitigating role of blockchain-enabled supply chains during the COVID-19 Pandemic | Lam, Hugo K. S.; Xiong, Yangchun; Kumar, Ajay; Ngai, Eric W.T.; Xiu, Chunyu; Wang, Xinyue | Blockchain | COVID-19 | Event study |
| Exploring the application of blockchain to humanitarian supply chains: insights from Humanitarian Supply Blockchain project | Baharmand, Hossein; Maghsoudi, Amin; Coppi, Giulio | Blockchain | Humanitarian supply chain | Focus group, semi-structured interviews |
| Improving emergency response operations in maritime accidents using social media with big data analytics: the MV Wakashio disaster case study | Dominguez-Péry, Carine; Tassabehji, Rana; Vuddaraju, Lakshmi Narasimaha Raju; Duffour, VIkhram | Big data analytics with social media | Maritime accidents | Secondary data |
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