A systematic literature review on the use of big data analytics in humanitarian and disaster operations

Abstract

At the start of this review, 168 million individuals required humanitarian assistance, at the conclusion of the research, the number had risen to 235 million. Humanitarian aid is critical not just for dealing with a pandemic that occurs once every century, but more for assisting amid civil conflicts, surging natural disasters, as well as other kinds of emergencies. Technology's dependability to support humanitarian and disaster operations has never been more pertinent and significant than it is right now. The ever-increasing volume of data, as well as innovations in the field of data analytics, present an incentive for the humanitarian sector. Given that the interaction between big data and humanitarian and disaster operations is crucial in the coming days, this systematic literature review offers a comprehensive overview of big data analytics in a humanitarian and disaster setting. In addition to presenting the descriptive aspects of the literature reviewed, the results explain review of existent reviews, the current state of research by disaster categories, disaster phases, disaster locations, and the big data sources used. A framework is also created to understand why researchers employ various big data sources in different crisis situations. The study, in particular, uncovered a considerable research disparity in the disaster group, disaster phase, and disaster regions, emphasising how the focus is on reactionary interventions rather than preventative approaches. These measures will merely compound the crisis, and so is the reality in many COVID-19-affected countries. Implications for practice and policy-making are also discussed.

Application of Data-Driven Economic Management to Structural Equation Modelling in Chinese Peacekeeping Missions

“…An interdisciplinary study issue that unites the disciplines of economic management, data science, and international relations is the application of data-driven economic management in China's peacekeeping missions (Kondraganti, Narayanamurthy & Sharifi, 2022) [3]. Data-driven decision-making has taken center stage in economic management today, particularly in the context of the digital economy, where the use of big data analytics and Internet technologies is transforming how businesses operate and are managed (Awan, Shamim, Khan, Zia, Shariq & Khan,2021) [4].…”

Evaluating the Role of Big Data in U.S. Disaster Mitigation and Response: A Geological and Business Perspective

“…This advancement is crucial for emergency responders, police, public health and fire departments, offering state-of-the-art assistance and improved insights. Kondraganti, Narayanamurthy and Sharifi (2022) conducted a systematic literature review on the use of big data analytics in humanitarian and disaster operations. Their findings reveal a considerable research disparity in disaster groups, phases and regions, emphasizing a focus on reactionary interventions rather than preventative approaches.…”

“…Their work contributes to understanding potential big data sources and characterizing big data processing frameworks, thereby establishing a link between big data and processing frameworks based on the essential tasks in the response phase of disaster management. Kondraganti, Narayanamurthy and Sharifi (2022) conducted a systematic literature review on the use of big data analytics in humanitarian and disaster operations. Their research offers a comprehensive overview of big data analytics in disaster settings, creating a framework to understand why researchers employ various big data sources in different crisis situations.…”

“…Their study reveals a fragmented landscape of research, with a need for a more cohesive understanding of big data's role in disaster management. Kondraganti, Narayanamurthy and Sharifi (2022) also undertook a systematic literature review focusing on big data analytics in humanitarian and disaster operations. Their research highlights a considerable disparity in the focus of studies, with an emphasis on reactionary interventions rather than preventative approaches.…”

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