Lessons from Significant Foreign Disaster Relief Operations Applied to AFRICOM

Purpose The purpose of this paper is to explore the contribution of logistics service providers’ (LSPs) initiatives to disaster relief and how LSPs are engaged with humanitarian sector. In recent years, the importance of logistics services in disaster relief operations and the capacity of LSPs to improve humanitarian supply chain management have become an increasingly interesting topic for both professionals and academics. Design/methodology/approach This research follows a qualitative approach based on multiple case studies. Findings The current research, after considering the differences and similarities among collaboration, cooperation and coordination and underlining how crucial these mechanisms are in the humanitarian context, explains the contribution of LSPs to relief operations alongside humanitarians. Research limitations/implications There has been increased interest in humanitarian logistics on the part of international academic and professional communities. This study constitutes a first exploratory step in the research to build a platform for benchmarking analysis of logistics services that aims to ensure the effective implementation of social responsibility principles. Practical implications The managerial implications arising from the research offer a range of current responsible actions from which strategic and operative directions to contribute can be derived. Originality/value Humanitarian logistics represents a crucial field in logistics management. This paper addresses the innovative socially responsible initiatives undertaken by the main international LSPs in the area of humanitarian logistics.

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Partnership behavior in disaster relief operations: a case study comparison of the responses to the tornado in Joplin, Missouri and Hurricane Sandy along the Jersey Coast

Natural Hazards ◽

10.1007/s11069-016-2445-3 ◽

2016 ◽

Vol 84 (1) ◽

pp. 625-647 ◽

Cited By ~ 5

Author(s):

John Coles ◽

Jing Zhang ◽

Jun Zhuang

Keyword(s):

Disaster Relief ◽

Hurricane Sandy ◽

Disaster Relief Operations ◽

Relief Operations

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Disaster Relief Operations and Continuous Aid Program in Human Supply Networks: Are they congruent?—An analysis

Advances in Intelligent Systems and Computing - Proceedings of the Third International Conference on Soft Computing for Problem Solving ◽

10.1007/978-81-322-1768-8_79 ◽

2014 ◽

pp. 959-973 ◽

Cited By ~ 4

Author(s):

V. G. Venkatesh ◽

Rameshwar Dubey ◽

Sadia Samar Ali

Keyword(s):

Disaster Relief ◽

Supply Networks ◽

Disaster Relief Operations ◽

Relief Operations

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The role of organizational culture and voluntariness in the adoption of artificial intelligence for disaster relief operations

International Journal of Manpower ◽

10.1108/ijm-03-2021-0178 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Abhishek Behl ◽

Meena Chavan ◽

Kokil Jain ◽

Isha Sharma ◽

Vijay Edward Pereira ◽

...

Keyword(s):

Artificial Intelligence ◽

Organizational Culture ◽

Behavioral Intentions ◽

Disaster Relief ◽

National Level ◽

Equation Modeling ◽

Government Agencies ◽

Content Type ◽

Disaster Relief Operations ◽

Relief Operations

PurposeThe study explores the readiness of government agencies to adopt artificial intelligence (AI) to improve the efficiency of disaster relief operations (DRO). For understanding the behavior of state-level and national-level government agencies involved in DRO, this study grounds its theoretical arguments on the civic voluntarism model (CVM) and the unified theory of acceptance and use of technology (UTAUT).Design/methodology/approachWe collected the primary data for this study from government agencies involved in DRO in India. To test the proposed theoretical model, we administered an online survey questionnaire to 184 government agency employees. To test the hypotheses, we employed partial least squares structural equation modeling (PLS-SEM).FindingsOur findings confirm that resources (time, money and skills) significantly influence the behavioral intentions related to the adoption of AI tools for DRO. Additionally, we identified that the behavioral intentions positively translate into the actual adoption of AI tools.Research limitations/implicationsOur study provides a unique viewpoint suited to understand the context of the adoption of AI in a governmental context. Companies often strive to invest in state-of-the-art technologies, but it is important to understand how government bodies involved in DRO strategize to adopt AI to improve efficiency.Originality/valueOur study offers a fresh perspective in understanding how the organizational culture and perspectives of government officials influence their inclinations to adopt AI for DRO. Additionally, it offers a multidimensional perspective by integrating the theoretical frameworks of CVM and UTAUT for a greater understanding of the adoption and deployment of AI tools with organizational culture and voluntariness as critical moderators.

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Protecting the health of responders: Team Health

BMJ Military Health ◽

10.1136/bmjmilitary-2020-001498 ◽

2020 ◽

pp. bmjmilitary-2020-001498

Author(s):

David Ross

Keyword(s):

Disaster Relief ◽

Special Issue ◽

Personal View ◽

Military Health ◽

Disaster Relief Operations ◽

Relief Operations ◽

Three Phases

The rise in humanitarian disasters has led to more volunteers responding to deploy with humanitarian organisations. Those organisations that use these volunteers have a responsibility for the health of these teams of workers. This personal view outlines the three phases of ‘Team Health’—prepare, sustain and recover. This is a paper commissioned as a part of the Humanitarian and Disaster Relief Operations special issue of BMJ Military Health.

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