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The occurrences of disasters have become a common phenomenon in the world and there is evidence that the frequency and intensity of disasters are increasing. There have been more than 7,000 disaster events and around 265 million displacements in the period from 2008 to 2018, which constitutes more than three times of conflict and violence-related displacements (Disaster Displacement – A global review, 2019). Natural disasters are responsible for nearly 60,000 deaths per year on average and are responsible for 0.1% of global deaths. Various forms of natural disasters pose significant threats to lives, livelihoods, economic development, and ecological diversity around the world. Similar to the world scenario, Sri Lanka has a similar situation. Sri Lanka has been identified as a drought hot spot. Nearly, 15,000 people per million are at risk of disaster-induced displacement every year in Sri Lanka. During the Tsunami, in 2004, 31,000 human lives were lost, and more than a million people were displaced. Thus, natural disasters cause a huge negative impact on society and the economy in Sri Lanka. In this context, the main objectives of this study are to overview the disasters and displacements that have occurred during the last two decades and to explore the livelihood activities of the affected people and their best practices of disaster resilience. Secondary data were used to overview the disasters and displacements of the last two decades and the related policy framework of the country. Primary data were used to identify livelihood activities and disaster-resilient strategies of the affected people. In-depth interviews were conducted with an unstructured questionnaire from 15 recovered families who have been affected by Tsunami and landslides that occurred in the country. The purposive sampling method was used to select families from the most disaster-affected areas. Descriptive methods were used to analyze the data. The study revealed five recovery strategies followed by displaced people from tsunamis and landslides. Those are continuing with the previous livelihood activities as much as possible, moving to different livelihood activities, moving to different areas to find better jobs, attaining external assistance, and self-management on household finance. Finally, policy guidelines for building resilience in communities that will help to enhance their capacity to cope and recover from vulnerability are proposed in improving their lives.

Extant research shows mixed results on the impact of expressed negative emotions on donations in online charitable crowdfunding. This study solves the puzzle by examining how different types of negative emotions (i.e. sadness, anxiety and fear) expressed in crowdfunding project descriptions affect donations.

Data on 15,653 projects across four categories (medical assistance, education assistance, disaster assistance and poverty assistance) from September 2013 to May 2019 come from a leading online crowdfunding platform in China. Text analysis and regression models serve to test the hypotheses.

In the medical assistance category, the expression of sadness has an inverted U-shaped effect on donations, while the expression of anxiety has a negative effect. An appropriate number of sadness words is helpful but should not exceed five times. In the education assistance and disaster assistance categories, the expression of sadness has a positive effect on donations, but disclosure of anxiety and fear has no influence on donations. Expressions of sadness, anxiety and fear have no impact on donations in the poverty assistance category.

This work has important implications for fundraisers on how to regulate the fundraisers' expressions of negative emotions in a project's description to attract donations. These insights are also relevant for online crowdfunding platforms.

Online crowdfunding research often studies negative emotions as a whole and does not differentiate project types. The current work contributes by empirically testing the impact of three types of negative emotions on donations across four major online crowdfunding categories.

The objective of this chapter is to discuss how different techniques in Regional Science and Peace Science and the emerging techniques in Management Science can be used in analysing Disaster Management and Global pandemic with special reference to developing countries. It is necessary for me to first discuss the subjects of Disaster Management, Regional Science, Peace Science and Management Science. The objective of this chapter is to emphasise that the studies of Disaster Management should be more integrated with socioeconomic and geographical factors. The greatest disaster facing the world is the possibility of war, particularly nuclear war, and the preparation of the means of destruction through military spending.

Each stage in disaster management faces different challenges concerning information gathering, sharing, interpretation and dissemination. However, a comprehensive understanding of different information and communication technology (ICT) systems utilised for humanitarian disaster management is limited. Therefore, the paper follows a systems thinking approach to examine ten major man-made and/or natural disasters to comprehend the influence of ICT systems on humanitarian relief operations.

A longitudinal, multi-case study captures the use of ICT tools, stakeholders involvement, disaster stages and zones of operations for relief operations over the past two decades. A systems thinking approach is utilised to draw several inferences and develop frameworks.

Multiple ICT tools such as geographic information systems, online webpages/search engines, social media, unmanned aerial vehicles/robots and artificial intelligence are used for rapid disaster response and mitigation. Speed and coordination of relief operations have significantly increased in recent years due to the increased use of ICT systems.

Secondary data on the past ten disasters is utilised to draw inferences. The developed ICT-driven model must be validated during upcoming humanitarian relief operations.

A holistic understanding of a complex inter-relationship between influential variables (stakeholders, disaster stages, zones of operation, ICT systems) is beneficial for effectively managing humanitarian disasters.

Broadly classifying the ICT systems into surveillance, decision support and broadcasting systems, a novel ICT-enabled model for humanitarian relief operations is developed.

To assess which partnerships were most critical during the recovery planning process following Hurricanes Maria and Irma. We discuss the roles and impact of different types of partners, barriers and facilitators to partnerships and lessons in collaboration during the development of the economic and disaster recovery plan for Puerto Rico.

The Homeland Security Operational Analysis Center (HSOAC) was tasked with assisting the Puerto Rican government with an assessment of damages from Hurricanes Maria and Irma and the development of the Recovery Plan. During the process, a small team compiled and coded a database of meetings with non-HSOAC partners. The team was divided into sector teams that mirrored FEMA’s Recovery Support Functions. Each sector completed two surveys identifying high impact partners and their roles and contributions, as well as barriers and facilitators to partnerships.

A total of 1,382 engagements were recorded across all sectors over seven months. The most frequently identified high impact partners were federal and Puerto Rican governmental organizations partners. NGOs and nonprofits were noted as key partners in obtaining community perspective. Sector teams cited a lack of trust and difficulty identifying partners as barriers to partner engagement. Given the expedited nature of disaster response, establishing partnerships before disasters occur may help facilitate community input. Early networking, increased transparency and defining roles and responsibilities may increase trust and effectiveness among partnerships.

To our knowledge, this is one of the few studies that quantifies and illustrates the partnerships formed and their contributions during recovery planning, and lessons learned.

This study aims at investigating the evolution of disaster management by identifying the different phases it has gone through over time, and laying a ground for the next generation of disaster studies that focus on value-creating and value-adding activities.

An extensive review of the existing literature was made to develop an understanding of the evolution of disaster management. This study does not aim at assessing the tools or techniques used; rather it aims at identifying the major developments that took place over time.

Disaster management is a dynamic process. It has encountered/experienced different evolutionary phases that indicate that it has been developing over time. It continues to evolve until today as long as disasters occur. The nature and complexity of disasters are also changing. Most importantly, what seemed to be a practical approach for managing disasters yesterday might not fit for the use of today or tomorrow.

Understanding the evolution of disaster management mirrors the evolution of mankind and the ways people survived major incidents. As life itself evolves, disasters will continue to evolve which subsequently triggers the need for broader management insight to cope with.

This study traces the evolution of disaster management and the development of research and practice in this field over time. The existing literature rarely addresses the uniqueness of individual disasters and the need to treat them differently even the recurrent ones. To the best of the author’s knowledge, there is no single study that attempted to capture the evolution of disaster management during the 20th century until today. This study aims to achieve this goal.

This paper aims to examine and compare extant literature on the application of multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and humanitarian supply chains (HSCs). It identifies the status of existing research in the field and suggests a roadmap for academicians to undertake further research in HOs and HSCs using MCDM techniques.

The paper systematically reviews the research on MCDM applications in HO and HSC domains from 2011 to 2022, as the field gained traction post-2004 Indian Ocean Tsunami phenomena. In the first step, an exhaustive search for journal articles is conducted using 48 keyword searches. To ensure quality, only those articles published in journals featuring in the first quartile of the Scimago Journal Ranking were selected. A total of 103 peer-reviewed articles were selected for the review and then segregated into different categories for analysis.

The paper highlights insufficient high-quality research in HOs that utilizes MCDM methods. It proposes a roadmap for scholars to enhance the research outcomes by advocating adopting mixed methods. The analysis of various studies revealed a notable absence of contextual reference. A contextual mind map specific to HOs has been developed to assist future research endeavors. This resource can guide researchers in determining the appropriate contextual framework for their studies.

This paper will help practitioners understand the research carried out in the field. The aspiring researchers will identify the gap in the extant research and work on future research directions.

To the best of the authors’ knowledge, this is the first literature review on applying MCDM in HOs and HSCs. It summarises the current status and proposes future research directions.