Enhancing hospital resilience is essential for mitigating the impact of crises, such as pandemics, on healthcare systems. This study investigates the strategic role of Customer Relationship Management (CRM) in strengthening hospital networks' organizational resilience. A conceptual framework was developed to explore the impact of CRM components—customer knowledge management and CRM-based technology—on critical organizational capabilities such as innovation, dynamism, and flexibility. The mediating roles of risk and crisis management in fostering resilience are also examined. Using a mixed-methods approach, qualitative data from expert interviews identified resilience dimensions, while quantitative data from 169 hospital staff members were analyzed using structural equation modeling (SEM). The findings highlight that CRM-based strategies significantly enhance resilience by promoting organizational adaptability and effective crisis management. This study provides actionable insights for healthcare managers to implement CRM technologies, advancing disaster preparedness, response, and recovery, and contributing to the implementation of the efficient framework for disaster risk reduction.
{"title":"Integrating customer relationship management and organizational capabilities for hospital resilience: A framework for disaster preparedness and recovery","authors":"Roghayeh soleimani , Davood Shishebori , Mohammad Saleh Owlia , Hassan Khademi Zare","doi":"10.1016/j.pdisas.2025.100488","DOIUrl":"10.1016/j.pdisas.2025.100488","url":null,"abstract":"<div><div>Enhancing hospital resilience is essential for mitigating the impact of crises, such as pandemics, on healthcare systems. This study investigates the strategic role of Customer Relationship Management (CRM) in strengthening hospital networks' organizational resilience. A conceptual framework was developed to explore the impact of CRM components—customer knowledge management and CRM-based technology—on critical organizational capabilities such as innovation, dynamism, and flexibility. The mediating roles of risk and crisis management in fostering resilience are also examined. Using a mixed-methods approach, qualitative data from expert interviews identified resilience dimensions, while quantitative data from 169 hospital staff members were analyzed using structural equation modeling (SEM). The findings highlight that CRM-based strategies significantly enhance resilience by promoting organizational adaptability and effective crisis management. This study provides actionable insights for healthcare managers to implement CRM technologies, advancing disaster preparedness, response, and recovery, and contributing to the implementation of the efficient framework for disaster risk reduction.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100488"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Urban wetlands provide vital ecosystem services such as habitat provision, water purification, flood regulation, climate regulation, food provision, and recreation. However, rapid urban expansion has placed tremendous pressure on urban wetland environments, leading to their shrinkage. East Kolkata Wetland (EKW), a Ramsar site near urban area noted for its high biological diversity. Moreover, this wetland also acts as retardation basin for managing flooding in the neighboring areas and purifies a significant portion of the wastewater received from the city of Kolkata through application of local ecological knowledge (LEK). Despite its high significance, the wetland is facing different threats in terms of encroachment, pollution etc. This study aims to assess possible future changes of the East Kolkata Wetland (EKW) through integrating spatiotemporal data with socio-legal data over the past 23 years. The study uses Shannon's entropy model together with the number of litigation cases. The results indicate that the entropy value increased from 0.394 in 1993 to 0.413 in 2023, suggesting a more dispersed distribution of development, primarily towards the east. This shift is contributing to the conversion of the East Kolkata Wetlands (EKW) into real estate developments. The study also reveals that 95 % of litigation cases in the EKW are related to unauthorized construction and the filling of water bodies. These unsustainable developments can increase Kolkata's exposure to more severe flooding together with loss of food security and biodiversity. The research provides valuable insights for policymakers by offering spatial zones of sensitivity depending upon categories of conversion and suggest steering urban growth away from the east, which could minimize degradation of the EKW and be crucial for Kolkata's long-term sustainability.
{"title":"Integrated approach to evaluate the role of wetland for disaster risk reduction and human well-being: A case study of East Kolkata wetland","authors":"Amit Chatterjee , Shamik Chakraborty , Pankaj Kumar , Shib Sankar Bagdi , Gowhar Meraj","doi":"10.1016/j.pdisas.2025.100490","DOIUrl":"10.1016/j.pdisas.2025.100490","url":null,"abstract":"<div><div>Urban wetlands provide vital ecosystem services such as habitat provision, water purification, flood regulation, climate regulation, food provision, and recreation. However, rapid urban expansion has placed tremendous pressure on urban wetland environments, leading to their shrinkage. East Kolkata Wetland (EKW), a Ramsar site near urban area noted for its high biological diversity. Moreover, this wetland also acts as retardation basin for managing flooding in the neighboring areas and purifies a significant portion of the wastewater received from the city of Kolkata through application of local ecological knowledge (LEK). Despite its high significance, the wetland is facing different threats in terms of encroachment, pollution etc. This study aims to assess possible future changes of the East Kolkata Wetland (EKW) through integrating spatiotemporal data with socio-legal data over the past 23 years. The study uses Shannon's entropy model together with the number of litigation cases. The results indicate that the entropy value increased from 0.394 in 1993 to 0.413 in 2023, suggesting a more dispersed distribution of development, primarily towards the east. This shift is contributing to the conversion of the East Kolkata Wetlands (EKW) into real estate developments. The study also reveals that 95 % of litigation cases in the EKW are related to unauthorized construction and the filling of water bodies. These unsustainable developments can increase Kolkata's exposure to more severe flooding together with loss of food security and biodiversity. The research provides valuable insights for policymakers by offering spatial zones of sensitivity depending upon categories of conversion and suggest steering urban growth away from the east, which could minimize degradation of the EKW and be crucial for Kolkata's long-term sustainability.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100490"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.pdisas.2025.100492
Rosemary R. Seva , Alvin Neil A. Gutierrez , Hero Rafael Arante , Alvin Chua , Maria Antonette C. Roque , Edwin Sybingco
Flooding is a major natural hazard whose frequency and severity have increased due to climate change. Although technological advances have improved flood monitoring systems, their usability remains a critical but often overlooked aspect. FloodCast is a sensor-based flood monitoring system that enables users to track real-time water levels in flood-prone areas and predict flood trends for next three hours. User requirements were gathered from individuals with firsthand experience of flooding. FloodCast's output aims to support decision-making, particularly in identifying safe routes during heavy rainfall. Data were collected through two focus group discussions with eight participants each and a survey of 76 respondents. Through iterative prototyping—informed by the user needs, an initial interface was designed. Initial testing that involved 17 participants revealed user confusion stemming from unclear visual cues and navigation, 35 % of which did not attain the benchmark score of System Usability Scale (SUS). After refining the design (e.g., simplifying data visualization, improving accessibility), the final prototype was tested with 21 participants where 100 % passed the SUS benchmark score. Users provided favorable evaluations of the redesigned interface, highlighting the clarity of the flood prediction graph, the usefulness of the reference images, and the value of the 15-min update feature.
{"title":"FloodCast: A user-centered flood monitoring system to enhance user engagement","authors":"Rosemary R. Seva , Alvin Neil A. Gutierrez , Hero Rafael Arante , Alvin Chua , Maria Antonette C. Roque , Edwin Sybingco","doi":"10.1016/j.pdisas.2025.100492","DOIUrl":"10.1016/j.pdisas.2025.100492","url":null,"abstract":"<div><div>Flooding is a major natural hazard whose frequency and severity have increased due to climate change. Although technological advances have improved flood monitoring systems, their usability remains a critical but often overlooked aspect. FloodCast is a sensor-based flood monitoring system that enables users to track real-time water levels in flood-prone areas and predict flood trends for next three hours. User requirements were gathered from individuals with firsthand experience of flooding. FloodCast's output aims to support decision-making, particularly in identifying safe routes during heavy rainfall. Data were collected through two focus group discussions with eight participants each and a survey of 76 respondents. Through iterative prototyping—informed by the user needs, an initial interface was designed. Initial testing that involved 17 participants revealed user confusion stemming from unclear visual cues and navigation, 35 % of which did not attain the benchmark score of System Usability Scale (SUS). After refining the design (e.g., simplifying data visualization, improving accessibility), the final prototype was tested with 21 participants where 100 % passed the SUS benchmark score. Users provided favorable evaluations of the redesigned interface, highlighting the clarity of the flood prediction graph, the usefulness of the reference images, and the value of the 15-min update feature.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100492"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.pdisas.2025.100491
Kenneth A. Lachlan, James DiCairano, Eleanor Shoreman Ouimet
The current study aimed to examine the impact of media dependencies, demographic, and social vulnerability indicators on perceptions of information sufficiency, disaster preparation, and trust in public health officials. In doing so, this data was disaggregated across geographic tracts to account for demographic and infrastructure variability, with the aim of providing guidance for emergency messages and responders. An online survey of 519 Connecticut residents, drawn from parts of the state known to experience social and structural vulnerabilities, was used as an initial inquiry and proof of concept. The results paint an interesting picture of the potential variability in these relationships across locations with varying degrees of structural and social vulnerability. They also reinforce the importance of variability in source preferences and their relationship with motivated information seeking. Implications for further research and emergency managers are discussed.
{"title":"Not just who, but where: Examining weather risk information dependencies and preparation across location and social vulnerability","authors":"Kenneth A. Lachlan, James DiCairano, Eleanor Shoreman Ouimet","doi":"10.1016/j.pdisas.2025.100491","DOIUrl":"10.1016/j.pdisas.2025.100491","url":null,"abstract":"<div><div>The current study aimed to examine the impact of media dependencies, demographic, and social vulnerability indicators on perceptions of information sufficiency, disaster preparation, and trust in public health officials. In doing so, this data was disaggregated across geographic tracts to account for demographic and infrastructure variability, with the aim of providing guidance for emergency messages and responders. An online survey of 519 Connecticut residents, drawn from parts of the state known to experience social and structural vulnerabilities, was used as an initial inquiry and proof of concept. The results paint an interesting picture of the potential variability in these relationships across locations with varying degrees of structural and social vulnerability. They also reinforce the importance of variability in source preferences and their relationship with motivated information seeking. Implications for further research and emergency managers are discussed.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100491"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.pdisas.2025.100489
Thushara Kamalrathne, Dilanthi Amaratunga, Richard Haigh
Community involvement in disaster risk reduction plays a vital role in various aspects. It enhances understanding of the challenges and risk dynamics at the local level, as well as potential solutions. Community-based approaches have been proven effective for disaster risk mitigation, particularly in resource-limited settings. During the COVID-19 pandemic, many community-based interventions emerged as alternative strategies and coping mechanisms, which are the primary focus of this paper. Data for this study were collected through a systematic review using databases such as ScienceDirect, Scopus, and Emerald Journals. After a thorough record mining process, 38 records were selected for analysis—30 from peer-reviewed journal articles and eight from grey literature. Thematic analysis was employed to examine the qualitative data gathered from these manuscripts, utilizing NVivo-14 software. Initial coding and focused coding were applied to identify key themes. The findings indicate that many communities in developing countries effectively utilized community-based approaches to address the primary challenges posed by the COVID-19 pandemic. These challenges were closely related to health system overloads, implications of responses during lockdowns, low acceptance of preventive measures, difficulties in data management, risk communication, and early warnings. Other issues included livelihood disruptions and food safety, social isolation and mental health concerns, public health information management, and severe impacts on vulnerable and marginalised communities. Furthermore, affected communities collaborated with local stakeholders to implement many community-based interventions. There is a pressing need to document and assess these initiatives as part of regional and national disaster risk reduction frameworks to enhance evidence-based practices
{"title":"Community is a solution, not a problem: A systematic review on lessons learned during the COVID-19 pandemic on improving the capacity of the last mile through community-based approaches","authors":"Thushara Kamalrathne, Dilanthi Amaratunga, Richard Haigh","doi":"10.1016/j.pdisas.2025.100489","DOIUrl":"10.1016/j.pdisas.2025.100489","url":null,"abstract":"<div><div>Community involvement in disaster risk reduction plays a vital role in various aspects. It enhances understanding of the challenges and risk dynamics at the local level, as well as potential solutions. Community-based approaches have been proven effective for disaster risk mitigation, particularly in resource-limited settings. During the COVID-19 pandemic, many community-based interventions emerged as alternative strategies and coping mechanisms, which are the primary focus of this paper. Data for this study were collected through a systematic review using databases such as ScienceDirect, Scopus, and Emerald Journals. After a thorough record mining process, 38 records were selected for analysis—30 from peer-reviewed journal articles and eight from grey literature. Thematic analysis was employed to examine the qualitative data gathered from these manuscripts, utilizing NVivo-14 software. Initial coding and focused coding were applied to identify key themes. The findings indicate that many communities in developing countries effectively utilized community-based approaches to address the primary challenges posed by the COVID-19 pandemic. These challenges were closely related to health system overloads, implications of responses during lockdowns, low acceptance of preventive measures, difficulties in data management, risk communication, and early warnings. Other issues included livelihood disruptions and food safety, social isolation and mental health concerns, public health information management, and severe impacts on vulnerable and marginalised communities. Furthermore, affected communities collaborated with local stakeholders to implement many community-based interventions. There is a pressing need to document and assess these initiatives as part of regional and national disaster risk reduction frameworks to enhance evidence-based practices</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100489"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Humanitarian supply chains (HSCs) face significant operational challenges, particularly around trust, transparency, and coordination. Blockchain technology (BCT), with its decentralised and immutable characteristics, offers a promising solution. However, humanitarian organisations often lack a structured framework to guide its implementation. This paper addresses this gap by designing a blockchain-enabled framework specifically tailored to HSCs. A mixed-method approach, using an explanatory sequential design, is adopted. The research begins with a quantitative phase, conducting a feasibility study through a survey targeting key humanitarian stakeholders in Kenya to identify operational needs that BCT could address. Survey data is analysed using SPSS 26.0, and the findings, complemented by secondary literature, inform the development of the proposed framework. The subsequent qualitative phase involves validating the framework through in-depth interviews with humanitarian experts in Kenya. These interviews are coded and thematically analysed using NVivo software. The methodology ensures a high level of research rigour aligned with the study's aim and objectives. The proposed blockchain-enabled framework consists of nine building blocks structured across five phases, from initial planning to full deployment and maturity. Raising awareness is highlighted as the most critical phase for successful implementation. Additionally, the framework emphasises the need for continuous improvement based on user feedback and technological advancements. By addressing key operational challenges, BCT can significantly enhance transparency, integrity, and disaster resilience within Kenya's HSC context.
{"title":"Building blocks of a Blockchain-enabled framework for the humanitarian supply chain","authors":"Jemimah Maina, Sameh Saad, Terrence Perera, Ramin Bahadori","doi":"10.1016/j.pdisas.2025.100494","DOIUrl":"10.1016/j.pdisas.2025.100494","url":null,"abstract":"<div><div>Humanitarian supply chains (HSCs) face significant operational challenges, particularly around trust, transparency, and coordination. Blockchain technology (BCT), with its decentralised and immutable characteristics, offers a promising solution. However, humanitarian organisations often lack a structured framework to guide its implementation. This paper addresses this gap by designing a blockchain-enabled framework specifically tailored to HSCs. A mixed-method approach, using an explanatory sequential design, is adopted. The research begins with a quantitative phase, conducting a feasibility study through a survey targeting key humanitarian stakeholders in Kenya to identify operational needs that BCT could address. Survey data is analysed using SPSS 26.0, and the findings, complemented by secondary literature, inform the development of the proposed framework. The subsequent qualitative phase involves validating the framework through in-depth interviews with humanitarian experts in Kenya. These interviews are coded and thematically analysed using NVivo software. The methodology ensures a high level of research rigour aligned with the study's aim and objectives. The proposed blockchain-enabled framework consists of nine building blocks structured across five phases, from initial planning to full deployment and maturity. Raising awareness is highlighted as the most critical phase for successful implementation. Additionally, the framework emphasises the need for continuous improvement based on user feedback and technological advancements. By addressing key operational challenges, BCT can significantly enhance transparency, integrity, and disaster resilience within Kenya's HSC context.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100494"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Following the 2011 Fukushima Daiichi Nuclear Power Plant accident, residents in the heavily affected towns of Tomioka, Okuma, and Futaba were subject to mandatory evacuation. Over a decade later, migration behavior has diverged, with some residents returning, some visiting regularly, and others not returning at all. This study examined the sociocultural and psychosocial factors associated with migration behaviors in the recovery context after the Fukushima disaster. A cross-sectional questionnaire survey was conducted on 1862 individuals registered in the three towns as of 2024. Participants were classified as current residents (both returnees and new settlers), regular visitors, or non-visitors. The results indicated that being a current resident was positively associated with male gender, better physical health (physical component summary score), and willingness to interact with other residents. Conversely, older age (≥ 65 years), cohabiting with family, and anxiety over radiation-related genetic effects were negatively associated with living in the three towns. Regular visit behavior was linked to emotional and cultural motivations—particularly ancestral grave and land management. These findings highlight the interplay between physical capabilities, cultural responsibility, and risk perceptions among post-disaster migrants and suggest that recovery policies should focus on not only physical reconstruction, but also psychosocial needs.
{"title":"Migration behaviors and place-based recovery after the Fukushima disaster: A comparative study of current residents, regular visitors, and non-visitors","authors":"Mengjie Liu , Hitomi Matsunaga , Yuya Kashiwazaki , Makiko Orita , Noboru Takamura","doi":"10.1016/j.pdisas.2025.100495","DOIUrl":"10.1016/j.pdisas.2025.100495","url":null,"abstract":"<div><div>Following the 2011 Fukushima Daiichi Nuclear Power Plant accident, residents in the heavily affected towns of Tomioka, Okuma, and Futaba were subject to mandatory evacuation. Over a decade later, migration behavior has diverged, with some residents returning, some visiting regularly, and others not returning at all. This study examined the sociocultural and psychosocial factors associated with migration behaviors in the recovery context after the Fukushima disaster. A cross-sectional questionnaire survey was conducted on 1862 individuals registered in the three towns as of 2024. Participants were classified as current residents (both returnees and new settlers), regular visitors, or non-visitors. The results indicated that being a current resident was positively associated with male gender, better physical health (physical component summary score), and willingness to interact with other residents. Conversely, older age (≥ 65 years), cohabiting with family, and anxiety over radiation-related genetic effects were negatively associated with living in the three towns. Regular visit behavior was linked to emotional and cultural motivations—particularly ancestral grave and land management. These findings highlight the interplay between physical capabilities, cultural responsibility, and risk perceptions among post-disaster migrants and suggest that recovery policies should focus on not only physical reconstruction, but also psychosocial needs.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100495"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.pdisas.2025.100497
Hridoy Majumder, Bikash Chandra Ghosh
Perception, given its pivotal role in the formulation of inclusive adaptation strategies to address climate change, has emerged as an area of mutual interest among international communities. Still, prior studies have predominantly excluded the heterogenous belief structures of stakeholders in suggesting relevant policy frameworks, especially in the Global South. However, this inquiry employed Q methodology to investigate the subjective views of 28 farmers from drought-affected districts in northwest Bangladesh on climate change, identifying three distinct viewpoints: factivists, traditionalists, and modulators. Factivists based their arguments on scientific evidence and acknowledged the necessity of effective adaptation strategies against climate change. Conversely, traditionalists rejected empirical adaptation strategies and scientific reasoning, viewing climate change as a divine act. Modulators prioritized experience-based adaptation techniques, regardless of some underlying causes of climate change. However, all three groups acknowledge extreme climate events are increasing in frequency and causing a sharp decline in crop productivity, notwithstanding their ideological differences. Findings of this investigation articulated the necessity of consolidating diverse beliefs of the farmers to form a feasible and potent set of policies and supported holistic adaptation strategies that resonate with—and are adopted by—the full spectrum of rural stakeholders.
{"title":"Subjectivity in the storm: Q methodological deconstruction of climate narratives among Bangladesh's drought-affected farming households","authors":"Hridoy Majumder, Bikash Chandra Ghosh","doi":"10.1016/j.pdisas.2025.100497","DOIUrl":"10.1016/j.pdisas.2025.100497","url":null,"abstract":"<div><div>Perception, given its pivotal role in the formulation of inclusive adaptation strategies to address climate change, has emerged as an area of mutual interest among international communities. Still, prior studies have predominantly excluded the heterogenous belief structures of stakeholders in suggesting relevant policy frameworks, especially in the Global South. However, this inquiry employed Q methodology to investigate the subjective views of 28 farmers from drought-affected districts in northwest Bangladesh on climate change, identifying three distinct viewpoints: factivists, traditionalists, and modulators. Factivists based their arguments on scientific evidence and acknowledged the necessity of effective adaptation strategies against climate change. Conversely, traditionalists rejected empirical adaptation strategies and scientific reasoning, viewing climate change as a divine act. Modulators prioritized experience-based adaptation techniques, regardless of some underlying causes of climate change. However, all three groups acknowledge extreme climate events are increasing in frequency and causing a sharp decline in crop productivity, notwithstanding their ideological differences. Findings of this investigation articulated the necessity of consolidating diverse beliefs of the farmers to form a feasible and potent set of policies and supported holistic adaptation strategies that resonate with—and are adopted by—the full spectrum of rural stakeholders.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100497"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145665411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-20DOI: 10.1016/j.pdisas.2025.100487
Vishal Kumar , Frank Hopfgartner , Pekka M. Rossi , Mourad Oussalah
This study analyzes public narratives, stakeholder communication, and media framing during the Nokia water contamination crisis (2007–2008), Finland’s largest waterborne epidemic. Especially, using data from online forum (Suomi24), news reports, and official audits, we apply a new aspect-based sentiment analysis combined with thematic clustering over a 3-month crisis timeline period to trace the evolution of public perception in response to crisis events and stakeholder actions. The findings reveal that positive sentiment clusters were driven by visible mitigation efforts and hygiene-related practices, while negative sentiments were centered around contaminated water, institutional mistrust, and health fears. Media analysis showed minimal bias, with most coverage remaining factual, though occasional sensationalism could have amplified public anxiety. Compared to previous institutional communication research, our findings provide a data-driven perspective on citizen discourse-based analysis, offering new insights into how digital platforms can serve as real-time indicators of public trust and emotional response. The study underscores the importance of timely, transparent, and coordinated communication and highlights the potential of aspect-based sentiment analysis as a tool for adaptive crisis management and comprehending stakeholder actions.
{"title":"Crisis communication and media influence during Nokia water contamination event","authors":"Vishal Kumar , Frank Hopfgartner , Pekka M. Rossi , Mourad Oussalah","doi":"10.1016/j.pdisas.2025.100487","DOIUrl":"10.1016/j.pdisas.2025.100487","url":null,"abstract":"<div><div>This study analyzes public narratives, stakeholder communication, and media framing during the Nokia water contamination crisis (2007–2008), Finland’s largest waterborne epidemic. Especially, using data from online forum (Suomi24), news reports, and official audits, we apply a new aspect-based sentiment analysis combined with thematic clustering over a 3-month crisis timeline period to trace the evolution of public perception in response to crisis events and stakeholder actions. The findings reveal that <em>positive sentiment clusters</em> were driven by visible mitigation efforts and hygiene-related practices, while <em>negative sentiments</em> were centered around contaminated water, institutional mistrust, and health fears. Media analysis showed minimal bias, with most coverage remaining factual, though occasional sensationalism could have amplified public anxiety. Compared to previous institutional communication research, our findings provide a data-driven perspective on citizen discourse-based analysis, offering new insights into how digital platforms can serve as real-time indicators of public trust and emotional response. The study underscores the importance of timely, transparent, and coordinated communication and highlights the potential of aspect-based sentiment analysis as a tool for adaptive crisis management and comprehending stakeholder actions.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100487"},"PeriodicalIF":3.8,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-14DOI: 10.1016/j.pdisas.2025.100486
Tanjeel Ahmed Bin Zaman , Tabassum Haque , Himadri Sen Gupta , Mostafa Sameer , Omar Nofal
Bangladesh is a natural hazard hotspot where research on resilience has grown rapidly but remains fragmented across social and technical silos. We assemble an auditable corpus of 301 peer-reviewed studies (2014–2024) and integrate PRISMA screening with Latent Dirichlet Allocation (LDA) to deliver a transparent, data-driven map of the field. A 10-topic model, selected by maximizing coherence (perplexity as tie-break), is stress-tested via multi-seed and split-half Jensen–Shannon distance; dual-reviewer screening reports substantial agreement (Cohen’s ). The map confirms the dominance of community adaptation and DRR governance and reveals a quantifiable social–technical separation between qualitative community studies and quantitative hazard modeling. Under-represented intersections include private-sector continuity and supply-chain resilience, and salinity–health linkages. We translate these findings into an operational blueprint: a three-layer integration architecture – participatory GIS indicators, hazard/lifeline rasters, and a Bayesian-network inference layer – to evaluate district-level policy levers (e.g., shelter capacity, road chokepoints, anticipatory cash) with uncertainty bands. We also outline a national, open data infrastructure to support reproducible, multi-hazard, uncertainty-aware planning. By coupling transparent evidence synthesis with prescriptive design, this study provides a practical pathway to close Bangladesh’s social–technical gap and advance “bounce-forward” resilience
{"title":"Computational review of disaster resilience research in Bangladesh","authors":"Tanjeel Ahmed Bin Zaman , Tabassum Haque , Himadri Sen Gupta , Mostafa Sameer , Omar Nofal","doi":"10.1016/j.pdisas.2025.100486","DOIUrl":"10.1016/j.pdisas.2025.100486","url":null,"abstract":"<div><div>Bangladesh is a natural hazard hotspot where research on resilience has grown rapidly but remains fragmented across social and technical silos. We assemble an auditable corpus of 301 peer-reviewed studies (2014–2024) and integrate PRISMA screening with Latent Dirichlet Allocation (LDA) to deliver a transparent, data-driven map of the field. A 10-topic model, selected by maximizing <span><math><msub><mrow><mi>C</mi></mrow><mrow><mi>v</mi></mrow></msub></math></span> coherence (perplexity as tie-break), is stress-tested via multi-seed and split-half Jensen–Shannon distance; dual-reviewer screening reports substantial agreement (Cohen’s <span><math><mi>κ</mi></math></span>). The map confirms the dominance of community adaptation and DRR governance and reveals a quantifiable social–technical separation between qualitative community studies and quantitative hazard modeling. Under-represented intersections include private-sector continuity and supply-chain resilience, and salinity–health linkages. We translate these findings into an operational blueprint: a three-layer integration architecture – participatory GIS indicators, hazard/lifeline rasters, and a Bayesian-network inference layer – to evaluate district-level policy levers (e.g., shelter capacity, road chokepoints, anticipatory cash) with uncertainty bands. We also outline a national, open data infrastructure to support reproducible, multi-hazard, uncertainty-aware planning. By coupling transparent evidence synthesis with prescriptive design, this study provides a practical pathway to close Bangladesh’s social–technical gap and advance “bounce-forward” resilience</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100486"},"PeriodicalIF":3.8,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}