A comprehensive research on analyzing risk factors in emergency supply chains

Purpose

Unforeseen events can disrupt the operational process and negatively impact emergency resources optimization and its supply chain. A limited number of studies have addressed risk management issues in the context of emergency supply chains, and this existing research lacks inbuilt and practical techniques that can significantly affect the reliability of risk management outcomes. Therefore, this paper aims to identify and practically analyze the specific risk factors that can most likely disrupt the normal functioning of the emergency supply chain in disaster relief operations.

Design/methodology/approach

This paper has used a three-step process to investigate and evaluate risk factors associated with the emergency supply chain. First, the study conducts a comprehensive literature review to identify the risk factors. Second, the research develops a questionnaire survey to validate and classify the identified risk factors. At the end of this step, the study develops a hierarchical structure. Finally, the research investigates the weighted priority of the validated risk factors using the fuzzy-analytical hierarchy process (FAHP) methodology. Experts were required to provide subjective judgments.

Findings

This paper identified and validated 28 specific risk factors prevalent in emergency supply chains. Based on their contextual meanings, the research classified these risk factors into two main categories: internal and external risk factors; four subcategories: demand, supply, infrastructural and environmental risk factors; and 11 risk types: forecast, inventory, procurement, supplier, quality, transportation, warehousing, systems, disruption, social and political risk factors. The most significant risk factors include war and terrorism, the absence of legislative rules that can influence and support disaster relief operations, the impact of cascading disasters, limited quality of relief supplies and sanctions and constraints that can hinder stakeholder collaboration. Therefore, emergency supply chain managers should adopt appropriate strategies to mitigate these risk factors.

Research limitations/implications

This study will contribute to the general knowledge of risk management in emergency supply chains. The identified risk factors and structural hierarchy taxonomic diagram will provide a comprehensive risk database for emergency supply chains.

Practical implications

The research findings will provide comprehensive and systemic support for respective practitioners and policymakers to obtain a firm understanding of the different risk categories and specific risk factors that can impede the effective functioning of the emergency supply chain during immediate disaster relief operations. Therefore, this will inform the need for the improvement of practices in critical aspects of the emergency supply chain through the selection of logistics and supply chain strategies that can ensure the robustness and resilience of the system.

Originality/value

This research uses empirical data to identify, categorize and validate risk factors in emergency supply chains. This study contributes to the theory of supply chain risk management. The study also adopts the fuzzy-AHP technique to evaluate and prioritize these risk factors to inform practitioners and policymakers of the most significant risk factors. Furthermore, this study serves as the first phase of managing risk in emergency supply chains since it motivates future studies to empirically identify, evaluate and select effective strategies that can eliminate or minimize the effects of these risk factors.

Issues and analysis of critical success factors for the sustainable initiatives in the supply chain during COVID- 19 pandemic outbreak in India: A case study

The coronavirus (COVID-19) pandemic has severely affected the supply chain all over. A major challenge for the supply chain (SC) is to address this disruption risk and bring sustainability to SC. The objective of this paper is to identify the stakeholders' requirements and critical success factors (CSFs) for the sustainability initiative in SC during this pandemic situation. Three potential stakeholders' requirements and a total of 16 critical success factors have been identified by taking inputs from experts and decision-makers. Further, these critical factors are analyzed and ranked based on a hybrid quality function deployment (QFD)-best-worst methodology (BWM). The QFD method has been used to identify the stakeholder’ requirements. And, the BWM has been adopted to prioritize the CSFs. The scientific value of the study is the contribution of the framework model for the sustainable initiatives in the SC during the COVID-19 pandemic outbreak, identification of stakeholders’ requirements and CSFs, and prioritizes these CSFs. The top three most critical success factors are found to be social distancing, emergency logistics systems, and emergency backup facilities. The proposed framework provides a roadmap to operation and supply chain managers to come up with good solutions for sustainability initiatives in the supply chain during and after the pandemic outbreak.

Theorising the Microfoundations of analytics empowerment capability for humanitarian service systems

The world is facing an unprecedented humanitarian crisis due to the COVID-19 pandemic. Humanitarian service systems are being empowered to tackle this crisis through the use of vast amounts of structured and unstructured data to protect vulnerable individuals and communities. Analytics has emerged as a powerful platform to visualise, predict, and prescribe solutions to humanitarian crises, such as disease containment, healthcare capacity, and emergency food supply. However, there is a paucity of research on the microfoundations of the humanitarian analytics empowerment capability. As such, drawing on dynamic capability theory and by means of a systematic literature review and thematic analysis, this study proposes an analytics empowerment capability framework for humanitarian service systems. The findings show that analytics culture, technological sophistication, data-driven insights, decision making autonomy, knowledge and skills, and training and development are crucial components of the analytics empowerment's capability to sense, seize, and remedy crisis situations. The paper discusses both theoretical and practical research implications.

Exploring and establishing the barriers to sustainable humanitarian supply chains using fuzzy interpretive structural modeling and fuzzy MICMAC analysis

Purpose

The continual onset of natural and manmade disasters propels the humanitarian supply chain (HSC) efforts (by organizations, groups and individuals) to always be on a stand-by mode with more and more sustainable solutions. Despite all the sincere and coordinated efforts from all the humanitarian agents and bodies, the likely sustainable outputs are hampered by certain barriers (impediments) which exist at different levels of the HSCs. A better understanding of such barriers and their mutual relationship is deemed helpful in improving the outcomes of humanitarian efforts. Thus, the purpose of this paper is to explore, refine, establish and classify these barriers which thwart the sustainable efforts of the HSCs individually as well as collectively.

Design/methodology/approach

An extensive literature review is conducted to identify these barriers which were followed by soliciting the experts’ inputs to update, refine and retain the contextually relevant ones. The opinions about the nine identified and refined barriers are taken from eight experts based in the Northern India who are having at least five years of experience in humanitarian operations. Fuzzy interpretive structural modeling (FISM) is used to examine and establish a hierarchical relationship among these barriers, whereas fuzzy Matrice d’impacts croisés multiplication appliquée á un classment analysis is carried out to further classify these barriers into dependent, autonomous, linkage and dependent barriers.

Findings

The analysis led to the formation of a FISM model where the operational challenges affecting the performance occupy the topmost position in the hierarchy. The results reveal that inconsistent motives, coordination and communication and operational challenges affecting the performance are the dependent, poor strategic planning, capacity-related challenges and poor performance measurement system are the autonomous, and financial challenges, locational challenges and lack of proper awareness are the independent barriers.

Research limitations/implications

The focus of the researchers was to study and examine these barriers to sustainable HSCs with special reference to the epidemics and pandemics (especially COVID-19), and it sheds light particularly arising during and post disaster phases.

Practical implications

The structural model contributed by this study is expected to be meaningful for practitioners besides enriching the body of literature. In the context of pandemics, it distinguishes itself from the other available frameworks.

Social implications

As this research has been carried out in the context of the novel COVID-19, the framework is expected to assist policymakers in comprehending the issues impeding the sustainability of noble humanitarian efforts. Thus, ultimately it is expected to contribute to the ultimate cause of society at large.

Originality/value

This research endeavor distinguishes itself from the other accessible published resources in terms of the specific context, the methodological approach and the nature of respondents. This paper concludes with the practical implications and directions for future research.

Bridging Gaps in Minimum Humanitarian Standards and Shelter Planning by Critical Infrastructures

Current agendas such as the Sendai Framework for Disaster Risk Reduction or the Sustainable Development Goals are demanding more integration of disaster risk management into other thematic fields and relevant sectors. However, certain thematic fields such as shelter planning and critical infrastructure have not been integrated yet. This article provides an analysis of minimum humanitarian standards contained in the well-known Sphere handbook. Gaps are identified for several critical infrastructure services. Moreover, guidance on how to derive infrastructure or lifeline needs has been found missing. This article analyses the missing service supply and infrastructure identification items and procedures. The main innovation is a more integrative perspective on infrastructure that can improve existing minimum humanitarian standards. It can guide the provision of infrastructure services to various types for different hazard scenarios, hence make humanitarian aid and shelter planning more sustainable in terms of avoiding infrastructure or lifeline shortages.

Social and financial aid for disaster relief operations using CSR and crowdfunding

Purpose

The purpose of this paper is to understand the interlinkages between corporate social responsibility (CSR) and crowdfunding in the context of disaster relief operations (DRO). It intends to explore how information quality moderates the relationship of CSR and crowdfunding to achieve financial and social stability. The study also controls variables such as type of disaster, size of the firm and sector to which the firms belong while drawing implications.

Design/methodology/approach

The study collects empirical data in an Indian context through a structured questionnaire. The respondents belong to organizations which made a financial contribution toward DRO during the past decade (2008–2018). The sample size for data analysis is 232 responses belonging to different industries like plastic, chemical, textile and apparel, automotive parts and electronics, and construction. The study employs partial least squares structural equation modeling for testing the hypothesis.

Findings

Results indicate a positive effect of CSR activities on donation-based crowdfunding to achieve financial and social normalcy in a DRO. CSR can thus be used as an alternate way to support DRO. Results also reveal that quality of information positively impacts the relationship between crowdfunding and social aid as well as financial aid offered to the victims of the disasters. It is further observed that the type of disaster accounts for the inflow and frequency of funds made by companies as a part of their CSR activities.

Research limitations/implications

The study restricts its analysis to CSR contributions made by Indian firms for DRO in an Indian context. While the study is centered in an Indian context, it holds strong implications by offering guidelines and framework for integrating funds of the government, CSR contributions of companies and donations made by citizens. The outcome also provokes thoughts on testing the results with multiple disasters across the globe in order to validate the findings and possibly extend them.

Originality/value

The approach of the study holds a unique slot in understanding concepts relating to CSR, crowdfunding and information science literature in the context of DRO. The study offers unique contribution in making the readers aware how CSR funds, when guided through a donation-based crowdfunding platform can help achieve social and financial aid for the victims of natural disaster.