Borrowing theories in humanitarian supply chain management

Responding to the COVID-19 pandemic – catching up in the food industry through business model innovation

Purpose

The food supply chain worldwide has suffered severely due to the COVID-19 pandemic countermeasures. Previous research suggests that business model innovation (BMI) could be a viable solution for recovering from the pandemic and fostering organizational resilience. This study analyzes the capabilities that enable food companies to innovate their business model and thereby increase organizational resilience.

Design/methodology/approach

Results were obtained using a multiple-case study approach consisting of 15 companies along the entire food supply chain. Managers and decision-makers were interviewed, and the collected insights were enriched with additional material.

Findings

The results show several capabilities that enable companies to innovate their business model due to disruption. These capabilities are categorized into four phases based on the processual representation of BMIs.

Originality/value

This study contributes to the understanding of BMI in the food supply chain and provides empirical evidence on the potential for business recovery through BMI.

The role of resource orchestration in humanitarian operations: a COVID-19 case in the US healthcare

This paper investigates the role of resource allocation in alleviating the impact on from disruptions in healthcare operations. We draw on resource orchestration theory and analyse data stemming from US healthcare to discuss how the US healthcare system structured, bundled and reconfigured resources (i.e. number of hospital beds, and vaccines) during the COVID-19 pandemic. Following a comprehensive and robust econometric analysis of two key resources (i.e. hospital beds and vaccines), we discuss its effect on the outcomes of the pandemic measured in terms of confirmed cases and deaths, and draw insights on how the learning curve effect and other factors might influence in the efficient and effective control of the pandemic outcomes through the resource usage. Our contribution lies in revealing how different resources are orchestrated ('structured', 'bundled', and 'leveraged') to help planning responses to and dealing with the disruptions to create resilient humanitarian operations. Managerial implications, limitations and future research directions are also discussed.

Managing supply chains during COVID-19 outbreak: a case of Hong Kong toy manufacturing company

Purpose

This study aims to identify key supply chain challenges and opportunities of the case of Hong Kong toy manufacturing company during the COVID-19 outbreak and develop a comprehensive structural relationship to rank them.

Design/methodology/approach

In this study, a toy model company in Hong Kong is considered to discuss about what challenges and opportunities have the biggest impacts on non-necessary goods companies and how to deal with different impacts on entire supply chain flow disruption during COVID-19. A semi-structured interview with five decision-makers from the company was made to give key challenges and opportunities scores. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique is used to establish the model and rank them afterward to overcome the challenges.

Findings

From the data analysis and results, “salary of employee” and “inconvenient transportation” have emerged as top and bottom key challenges respectively. The sequence of organized challenges in the list needs to mitigate one by one in this order to improve the supply chain performance. The “client's orders’ frequency, customer management” and “supplier/partner relationship management” are identified as the top and bottom respectively to develop the opportunities.

Research limitations/implications

These key challenges and opportunities are identified as contributing attributes and provide the way to measure to improve production, profits and sustainable growth of the toy manufacturing company during a pandemic. Moreover, it helps to improve the distribution level and good planning with appropriate decision making to manage the supply chain performance considering humanitarian aspects during a pandemic outbreak.

Originality/value

The novelty of this study is to identify the key supply chain challenges and opportunities measured by the TOPSIS method to rank them and consider the case of a Hong Kong toy manufacturing company as a case-based approach to measuring its performance during the COVID-19 outbreak.

HumOSCM for pandemic response

Purpose

Humanitarian organizations have faced the unprecedented consequences of the coronavirus disease 2019 (COVID-19) pandemic. In this article, the authors therefore discuss how epidemics and pandemics, specifically Ebola and COVID-19, have affected humanitarian operations and supply chain management (HumOSCM), and how HumOSCM has contributed to preparedness for and response to epidemics and pandemics. The authors present lessons learned from responses to Ebola and COVID-19.

Design/methodology/approach

For this study, the authors review the scholarly HumOSCM literature, use documentary evidence from practitioner literature and apply a theory synthesis approach to derive recommendations on how HumOSCM could strengthen future responses to epidemics and pandemics.

Findings

The conceptualizations highlight the importance of strengthening collaboration, capability and capacity for the response to epidemics and pandemics. Furthermore, the components that can enhance the degree of collaboration, and hence, response formation, are discussed.

Research limitations/implications

As a non-empirical article, it suffers from the limitations of conceptual research. Hence, empirical testing of the proposed framework is recommended. The framework and propositions can serve as a basis for future studies.

Practical implications

The conceptual framework can help humanitarian organizations and other actors in the humanitarian sector to better understand how to prepare for future responses to epidemics and pandemics, in particular by considering the components that enhance the degree of collaboration, as well as through capability development and capacity building.

Originality/value

This article begins a discussion of how HumOSCM should evolve to better respond to future epidemics and pandemics.

Inventory planning under supplier uncertainty in a two-level supply chain

Purpose

Due to uncertainty in supply chains caused by the coronavirus disease 2019 (COVID-19), organizations are adjusting their supply chain design to address challenges faced during the pandemic. To safeguard their operations against disruption in order quantities, supply chain members have been looking for alternate suppliers. This paper considers a two-level supply chain consisting of a manufacturer and two suppliers of a certain type of components required for the production of a finished product. The primary supplier (supplier A) is unreliable, in the sense that the quantity delivered is usually less than the ordered quantity. The proportion of the ordered quantity delivered by supplier A is a random variable with a known probability distribution. The secondary supplier (supplier B) always delivers the order in its entirety at a higher cost and can respond instantaneously. In order for supplier B to respond instantaneously, the manufacturer is required to reserve a certain quantity at an additional cost. Once the quantity received from the main supplier is observed, the manufacturer may place an order not exceeding the reserved quantity.

Design/methodology/approach

A mathematical model describing the production/inventory situation of the supply chain is formulated. The model allows the determination of the manufacturer's optimal ordering policy.

Findings

An expression for the expected total cost per unit time function is derived. The optimal solution is determined by solving a system of nonlinear equations obtained by minimizing the expected total cost function.

Practical implications

The proposed model can be used by supply chain managers aiming at identifying various ways of handling the uncertainty in the flow of supplies across the chain.

Originality/value

This proposed model addresses a gap in the production/inventory literature.

Managerial models for disaster and humanitarian operations: enhancing empirical validation through case studies of disaster responses in Haiti

Purpose

The research areas of humanitarian supply chain (HSC) and disaster and humanitarian operations (DHO) have evolved through the use of managerial models. Recent studies, however, point to the need for the empirical validation of such managerial models in real-life scenarios. Therefore, the present study aims to investigate the validation of recent managerial models based on empirical data of two disasters in Haiti: the earthquake in 2010 and Hurricane Matthew in 2016.

Design/methodology/approach

This research developed two case studies from the perspective of the Brazilian Navy (BN), a part of the Brazilian Armed Forces that led the United Nations Mission for Stabilization in Haiti (MINUSTAH) in both disasters. The case studies focused on empirically validating managerial models for stakeholder identification, stakeholder satisfaction, response processes, strategies for collaboration and the integration of these models.

Findings

The results revealed that compared to the response to the earthquake in 2010, the response to Hurricane Matthew in 2016 was superior. The collaborative strategies of the BN and other stakeholders used after the earthquake were more reactive, while the strategies after Hurricane Matthew aimed more at planning and anticipating adverse situations.

Originality/value

This research reinforces the investigated managerial models and indicates their suitability as planning tools for practitioners of HSC and DHO, which is essential for the further development of academic contributions related to integrating the models into more robust solutions.

Value co-creation in humanitarian service triads: service provision for beneficiaries

Purpose

The purpose of this study is to understand how humanitarian service triad members contribute to value co-creation, and how they assess the continuity of services in humanitarian supply chains (HSCs) to ensure support for beneficiaries.

Design/methodology/approach

The study applied a qualitative methodology through a single case study of a humanitarian service triad composed of non-governmental organisations (NGOs), service providers and beneficiaries. Empirical data were collected through semi-structured interviews and observations.

Findings

The findings confirm that the humanitarian service triad perspective in HSCs allows better understanding of humanitarian assistance. The findings indicate six components grouped into a humanitarian service triad framework, namely: service design, service reachability, training serviceability, collaboration, synergy, ethical considerations and after-service care.

Research limitations/implications

This research contributes to understanding of humanitarian services provision by studying service triads in humanitarian settings. It also confirms the need for cooperation between practitioners in services provision. The findings are limited to the context of refugees in Turkey, specifically humanitarian service triad located in Izmir area.

Practical implications

The Humanitarian Service Triad Framework for Service Provision proposed in this paper can be used as a tool for policy makers and practitioners involved in service design in HSC contexts, stressing the need for including all the framework components in practice.

Originality/value

This study is one of the first to focus on a humanitarian service triad, which includes beneficiaries as triad members in long-term humanitarian service provision.

Using AI and ML to predict shipment times of therapeutics, diagnostics and vaccines in e-pharmacy supply chains during COVID-19 pandemic

Purpose

This paper aims to address the pressing problem of prediction concerning shipment times of therapeutics, diagnostics and vaccines during the ongoing COVID-19 pandemic using a novel artificial intelligence (AI) and machine learning (ML) approach.

Design/methodology/approach

The present study used organic real-world therapeutic supplies data of over 3 million shipments collected during the COVID-19 pandemic through a large real-world e-pharmacy. The researchers built various ML multiclass classification models, namely, random forest (RF), extra trees (XRT), decision tree (DT), multilayer perceptron (MLP), XGBoost (XGB), CatBoost (CB), linear stochastic gradient descent (SGD) and the linear Naïve Bayes (NB) and trained them on striped datasets of (source, destination, shipper) triplets. The study stacked the base models and built stacked meta-models. Subsequently, the researchers built a model zoo with a combination of the base models and stacked meta-models trained on these striped datasets. The study used 10-fold cross-validation (CV) for performance evaluation.

Findings

The findings reveal that the turn-around-time provided by therapeutic supply logistics providers is only 62.91% accurate when compared to reality. In contrast, the solution provided in this study is up to 93.5% accurate compared to reality, resulting in up to 48.62% improvement, with a clear trend of more historic data and better performance growing each week.

Research limitations/implications

The implication of the study has shown the efficacy of ML model zoo with a combination of base models and stacked meta-models trained on striped datasets of (source, destination and shipper) triplets for predicting the shipment times of therapeutics, diagnostics and vaccines in the e-pharmacy supply chain.

Originality/value

The novelty of the study is on the real-world e-pharmacy supply chain under post-COVID-19 lockdown conditions and has come up with a novel ML ensemble stacking based model zoo to make predictions on the shipment times of therapeutics. Through this work, it is assumed that there will be greater adoption of AI and ML techniques in shipment time prediction of therapeutics in the logistics industry in the pandemic situations.

Intellectual structure and trends in the humanitarian operations field

Humanitarian Operations (HO) have attracted the interest of professionals and academics, mainly due to their potential to reduce human suffering in disaster situations, leading to consolidation as a research field. With the evolution of the HO research field, synthesis of the knowledge and previous discoveries has become an important task for its advancement. In this study, a literature review based on bibliometric mapping techniques was carried out in order to identify the HO intellectual structure. As main results, we visually present the general emerging structure of the HO field using the VOS viewer software to devise the networks of the principal articles. The seminal research in this field is organized into two clusters: Humanitarian Supply Chain Management, and Distribution Optimization in Humanitarian Logistics. Regarding the emerging intellectual structure, three clusters were identified: Relationship Management and Big Data, Healthcare facility location, and Network flow restoration optimization. Finally, some gaps and questions for future research are presented.

Assessing the role of industry 4.0 for enhancing swift trust and coordination in humanitarian supply chain

Unpredictable natural and man-made disasters highlight importance of humanitarian supply chain (HSC) to serve people and affected areas. The main challenges of applying effective relief operations are creating "swift trust" and "coordination" between aid organizations. Implementation of Industry 4.0 facilitates coordination and swift trust within HSC performance. The study intends to assess the readiness status of swift trust and coordination between stakeholders as well as to recommend the most suitable Industry 4.0 tools for improving relief operations. Firstly, a comprehensive set of critical success factors for implementing Industry 4.0 tools are introduced. The factors are categorized into limited groups using Exploratory Factor Analysis. In the next step, hierarchy fuzzy expert system is designed for assessing the readiness status of swift trust and coordination as well as to suggest the most suitable Industry 4.0 tool for enhancing HSC performance within given case study. The framework was applied for three aid organizations to address the pandemic disease in Iran. The outcome denotes that the organization has the highest readiness in logistic and transparency while information quality received the lowest readiness value. In addition to that, the organization should invest on the development of Industry 4.0 enablers including "Internet of Things and Big Data Analytics". The study extends organizational information process theory within HSC for reaching competitive advantage by information processing. The study suggests theoretical and practical implications by introducing a comprehensive set of critical success factors for implementation of Industry 4.0 and providing practical advice for enhancing HSC performance.

Covid-19 attacks the body of purchasing and supply management: A medical check of the immune system

Much like the immune system of the body, the ‘immune system’ of purchasing and supply management (PSM) is also affected by the Covid-19 virus. Medicine must hinder the spread of the virus and outbreak of disease, just as PSM must prevent risk events and handle supply disruptions. The existing debate on supply resilience and robustness can be demonstrated using this medical analogy. The purpose of this article was to perform a medical check of the ‘PSM immune system’ to identify lessons and research gaps when confronted with a low-frequency-high-impact event such as the pandemic. As a provocative note, this article identifies research gaps in elements of the immune system of PSM (e.g., helper cells – consultancy support or memory cells – feedback loops). The results call for a more holistic debate on the immune system of PSM. Two approaches for research on ‘conventional’ or ‘alternative’ risk management schools of thought are presented as a basis for future discourse on how to improve the PSM immune system.

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.

Dynamic capabilities in humanitarian supply chain management: a systematic literature review

Purpose

The main purpose of this paper is to examine the extant literature of humanitarian supply chain management (HSCM) which specifically use dynamic capabilities (DCs) view. By this means, the objectives of this study are to identify and assess the DCs used in the HSCM context, the factors positively and negatively affecting the DCs and how the DCs affect humanitarian supply chain (HSC) operations. Furthermore, this research aims to give directions for future research in the field of HSCM.

Design/methodology/approach

This study adopts systematic literature review (SLR) approach proposed by Denyer and Tranfield (2009). Based on a SLR, this study synthesizes and compares the evidence, has a specific focus and research questions, has certain inclusion and exclusion criteria and provides evidence-based implications to the researchers and practitioners. This is a method which is replicable, transparent and auditable. The SLR methodology provides scholars and practitioners a basis for comprehending the current situation of relevant topic and taking correct steps in their future actions.

Findings

This SLR deduces that applying DCs view is still in its infancy in the HSCM literature. The result of this SLR reveals that supply chain agility (SCA), supply chain resilience (SCR), reconfiguration/transformation, integration, (short-term) collaboration, sustaining, sensing, seizing and knowledge access DCs have been used in the HSCM literature. In addition, it is determined that only one paper analyzed the influence of DCs on predisaster performance while rest of the papers focused on the postdisaster performance.

Originality/value

The result of the exhaustive literature search indicates that this is the first SLR that specifically analyzes the application of DCs view in the HSCM domain. This investigation determined the DCs used in HSCM and revealed the relations between the dependent and independent variables through the comprehensive model. In this way, this review provides a guidance to researchers in conduct their future investigations and practitioners to carry out supply chain (SC) operations by considering the factors affecting their operations.

Organization theory in humanitarian operations: a review and suggested research agenda

Purpose

The purpose of this paper is to review the current application of organization theory (OT) in the humanitarian supply chain (HSC) and identify the future OT-based research opportunities that can advance knowledge of humanitarian operations.

Design/methodology/approach

The study uses a systematic literature review methodology to identify the current status and future direction of the OT-based study in HSC literature. The applied theories are those that have been mentioned in at least two research articles in the HSC literature. The proposed theories are either adopted from the top four referred organizational theories in the supply chain literature or those that can explain the issue of information asymmetry in HSC.

Findings

The study identifies and describes eight organizational theories and their possible future research questions in HSC. Among these, the first four theories (i.e. resource-based theory, resource dependence theory, social exchange theory and contingency theory) have already been initially applied in the humanitarian field, while the remaining theories (i.e. institutional theory, stakeholder theory, transactional cost theory and information theory) have potential for future application.

Research limitations/implications

The reviewed literature is limited to peer-reviewed journals listed in Thomson Reuters’ journal citation reports.

Practical implications

This study may help future researchers better understand and solve, using organizational theory, the behavioral challenges faced by humanitarian operations.

Originality/value

The study presents current applications of and future prospects for OT-based research in HSC, effectively providing the first review of OT applications in this area. The novel framework and new theories proposed herein may enable fresh directions for HSC research.

Lessons from the humanitarian disaster logistics management: A case study of the earthquake in Haiti

Purpose

The purpose of this study is to draw lessons for logistics management in humanitarian disasters, using the earthquake in Haiti as a case study. In Haiti, there were problems with the logistical response. This study investigates the humanitarian logistics challenges faced by various stakeholders in Haiti during the disaster-relief operations.

Design/methodology/approach

In this exploratory case study, the central methodology used was data triangulation. Data triangulation involved interviews with respondents grouped into three categories, non-governmental organizations (NGOs), the military establishment and the governmental agencies. Prominence is given to the common themes expressed by each group. These common themes are then compared to the themes of other groups to identify opportunities and problems for future disaster relief operations.

Findings

The study indicates that there is a clear gap in terms of how the humanitarian efforts were coordinated between different actors. Lack of civil–military cooperation and coordination was one of the findings from the interviews, and many of the resources and initiatives were overlapping or redundant. Timeliness and efficiency need to be at the forefront of all planning and would result in more saved lives and reduced human suffering. The key goal of humanitarian logistics stipulates is to form connections and relationships, which was well illustrated through the informants' interviews. It was found that organizing different stakeholders/actors to work together by sharing processes and distribution channels demands a vision that goes beyond logistics management. Government agencies, the military establishment, NGOs, locals and victims need to collaborate to create a synergy in generating solutions that are tailored to the shock of the disaster in the first place.

Research limitations/implications

The current study relies on a single case study approach as disaster scenarios are unique in terms of their impact, magnitude, timing and location. Despite these limitations, this study provides a detailed account of the logistical challenges in dealing with the disaster that took place in Haiti. The logistics-related lessons learned from this case study should be carefully applied in other settings, taken into consideration contextual differences.

Practical implications

One important aspect of measuring efficiency for any commercial logistics system is key performance indicators (KPIs) that indicate how well the firm is doing in managing its inbound and outbound operations. From a practical standpoint, the Haiti case raised a challenging concern with regard to how to measure the performance of humanitarian disaster logistics. This is a starting point to understand the dynamics of disaster system efficiency and logistics interplay and offers a few lessons to improve the resource availability in the case of future emergencies.

Originality/value

This study lays the groundwork for future researchers to explore and debrief on the topic once disaster relief draws to a close and time has allowed logisticians and relief workers to analyze the response mechanisms used in disasters.

To greener pastures

Purpose

While humanitarian supply chains (HSCs) inherently contribute to social sustainability by alleviating the suffering of afflicted communities, their unintended adverse environmental impact has been overlooked hitherto. This paper draws upon contingency theory to synthesize green practices for HSCs, identify the contingency factors that impact on greening HSCs and explore how focal humanitarian organizations (HOs) can cope with such contingency factors.

Design/methodology/approach

Deploying an action research methodology, two-and-a-half cycles of collaboration between researchers and a United Nations agency were completed. The first half-cycle developed a deductive greening framework, synthesizing extant green practices from the literature. In the second and third cycles, green practices were adopted/customized/developed reflecting organizational and contextual contingency factors. Action steps were implemented in the HSC for prophylactics, involving an operational mix of disaster relief and development programs.

Findings

First, the study presents a greening framework that synthesizes extant green practices in a suitable form for HOs. Second, it identifies the contingency factors associated with greening HSCs regarding funding environment, stakeholders, field of activity and organizational management. Third, it outlines the mechanisms for coping with the contingency factors identified, inter alia, improving the visibility of headquarters over field operations, promoting collaboration and resource sharing with other HOs as well as among different implementing partners in each country, and working with suppliers for greener packaging. The study advances a set of actionable propositions for greening HSCs.

Practical implications

Using an action research methodology, the study makes strong practical contributions. Humanitarian practitioners can adopt the greening framework and the lessons learnt from the implementation cycles presented in this study.

Originality/value

This is one of the first empirical studies to integrate environmental sustainability and HSCs using an action research methodology.

Developing and analyzing framework to manage resources in humanitarian logistics

Purpose

Humanitarian services usually perform in the face of uncertainty in which mobilization of resources in an efficient and effective manner is a big challenge. Sharing timely and correct information among logistics partners and workers is a key to drive rapid response logistics effectively. The purpose of this paper is to understand how coordinated effort effects resources management (RM).

Design/methodology/approach

This study uses quantitative research methodology and collected data from 82 humanitarian workers dealing with logistical activities from a densely populated city of Pakistan. Data were then statistically analyzed through partial least squares–structural equation modeling.

Findings

The results suggest that the success of humanitarian supply network depends upon the level of trust among the partners, which accelerates commitment through strong coordination. Information sharing reduces behavioral uncertainty and enhances swift trust (ST). ST then helps to improve coordination and commitment from all stakeholders in order to manage resources to lead effective relief operations.

Practical implications

The study guides the practitioners and relief operations’ policy makers to lay emphasis on distributing right and timely information flow among the partners, which can lead to effective, efficient and swift humanitarian relief operations.

Originality/value

This study on RM during humanitarian logistics is well timed in the context of developing country with high uncertain events, improper infrastructure and very limited resources.

Humanitarian supply chain management frameworks

Purpose

The purpose of this paper is to examine and compare extant framework in humanitarian supply chain management (HSCM) and to propose a framework on humanitarian supply chain (HSC) performance measurement based on the content, context and process.

Design/methodology/approach

The structured keywords, namely humanitarian supply chain (HSC), humanitarian logistic (HL), humanitarian relief chain (HRC) and humanitarian chain (HC) as an exact phrase were searched in the title, abstract and keywords in the academic database. A total of 66 peer-reviewed articles were selected for analysis purpose that reports framework from the reviewed literature. These selected frameworks are categorized in dimensions, namely framework novelty, framework source, recognize elements/constructs of framework, comparative analysis of the framework and in-depth study of HSCM performance measurement.

Findings

The analysis reveals that the majority of these developed frameworks are novel and academic based. Case study is most prominent research methodology in the development of HSCM framework. Lack of coordination among humanitarian stakeholders is the major challenge in the empirical implementation of framework. This study proposes future research trend toward a unified HSCM framework that will facilitate to uncover the coherent set of elements/constructs in the field of HSCM.

Research limitations/implications

This study considers peer-reviewed articles published in English language, and excludes conference papers, working articles, technical data/reports and book chapters.

Practical implications

This study categorizes new dimension for framework analysis and proposed an HSC performance measurement framework which gives new insights to the academicians, practitioners and policy makers for future work.

Social implications

This examination gives the establishment to facilitate investigation of viable, efficient and effective HSCM, and detail opportunities for practices.

Originality/value

This study critically analyzes 66 frameworks under the different criteria to identify research gap and trends. Furthermore, this study proposes the HSC performance measurement framework.

An integrated AHP-based scheme for performance measurement in humanitarian supply chains

Purpose

In recent years, several performance indicators have been proposed in humanitarian supply chains (HSCs). Selecting the most relevant key performance indicators (KPIs) is challenging for some humanitarian organizations (HOs) because it involves a considerable amount of complexity and information overload which could lead to judgment biases in the decision-making process. Existing performance measurement studies lack critical analysis for prioritization of performance indicators. Since the process of KPIs selection and categorization is a complex, domain based and subjective process, a systematic guideline is needed. To address this gap, the purpose of this paper is to propose an integrated performance measurement scheme that can consolidate KPIs into an overall performance score based on the weighting of the performance indicators in HSCs.

Design/methodology/approach

Data collection was based on questionnaire surveys and direct interviews with practitioners from international HOs.

Findings

This paper proposes an integrated scheme based on balanced scorecard and analytic hierarchy process for performance evaluation of HOs.

Research limitations/implications

The respondents were limited to the humanitarian logistics experts from Malaysian-based international HOs.

Practical implications

The scheme enables the benchmarking of HOs’ performance that could be useful for decision makers in HSCs.

Originality/value

This paper provides the ranking and prioritization of KPIs in HSCs. The approach presented in this paper enables an effective and integrated performance measurement in HSCs.

A disaster typology towards informing humanitarian relief supply chain design

Purpose

The purpose of this paper is to construct a typology of a disaster that informs humanitarian-relief supply chain (HRSC) design across the stages of disaster relief.

Design/methodology/approach

In addition to an interdisciplinary review of pertinent literature, this paper utilises a typology construction method to propose theoretically and methodologically sound dimensions of disasters.

Findings

Whilst semantic arguments surrounding the concept of a “disaster” are ongoing, the authors propose three typologies based upon six dimensions that serve as interdependent variables informing resultant HRSC design considerations. These are speed of onset, time horizon, spatial considerations, affected population needs, perceived probability of occurrence and perceived magnitude of consequence. These combinational and independent relationships of the variables offer insight into key HRSC design-making considerations.

Research limitations/implications

The study improves conceptual knowledge of disasters, distilling the concept to only the dimensions applicable to HRSC design, omitting other applications. The typologies provide empirical cell types based on extant literature, but do not apply the models towards new or future phenomena.

Practical implications

This paper provides HRSC practitioners with normative guidance through a more targeted approach to disaster relief, with a focus on the impacted system and resulting interactions’ correspondence to HRSC design.

Originality/value

This paper provides three typological models of disasters uniquely constructed for HRSC design across the various stages of disaster relief.

Case studies in humanitarian logistics research

Purpose

Considered a strong method for exploratory investigations, case study research has become part of the mainstream approach, particularly in the field of humanitarian logistics (HL) and supply chain management. Nevertheless, similar to other logistics and SCM-related fields, rigor is not at its best. The purpose of this paper is to propose a framework for crafting case study research in HL, based on an analysis of published case study-based research.

Design/methodology/approach

The study classifies and compares the use of case studies in HL research, based on criteria developed from the methodology literature including purpose, type and volume of data, and type of analysis.

Findings

While case studies become more frequent, the results point out a lack of rigor, particularly regarding chain of evidence and the use of frameworks for case study rationale and analysis.

Research limitations/implications

The study proposes a framework for case study design, based on four “check questions” that can help researchers to go through the process of crafting a case study.

Practical implications

The study provides practitioners with more understanding of case studies in HL research, which they can use when calling for or evaluating such studies in their organizations.

Originality/value

This paper offers an initial framework for conducting case studies in HL.

The potential role of philanthropy in humanitarian supply chains delivery: the case of Thailand

Purpose

The purpose of this paper is to provide a framework on how strategic philanthropy can be included in humanitarian supply chains delivery. This framework explains the modalities where strategic philanthropy can be successful when collaborating with key humanitarian supply chain actors.

Design/methodology/approach

A philanthropy delivery framework is developed based on the literature related to strategic philanthropy and humanitarian supply chains. The delivery framework is further validated with the real-life case study of a multinational firm during the 2011 Thai floods.

Findings

Procter and Gamble (P&G) was involved in the Thailand flood 2011 relief efforts in three phases: preparation, immediate response, and reconstruction phase. The company supported and distributed a water purifier through a non-governmental relief agency, the Princess Pa Foundation, under the Thai Red Cross Society, that enabled P&G to not only gain the trust of the targeted community during all the phases but in the continued usage of their water purifier after the event. Community leaders and P&G’s modern trade retailers played an important role in collaborating in this humanitarian supply chain to enable the successful delivery and usage of the donated water purifier.

Research limitations/implications

This proposed delivery framework is appropriate for in-kind products and services philanthropy. The case study describes how strategic philanthropy can be implemented in a specific case, i.e. flood disaster.

Practical implications

Academia, practitioners, and companies who are involved in humanitarian reliefs may adopt and adapt this framework in order to enable a win-win situation for all stakeholders in the humanitarian supply chain.

Originality/value

The delivery framework suggests that firms can develop successful strategic philanthropy through systematic humanitarian supply chain collaboration. It explains how a company can operate its philanthropic programs through collaboration with others as well as describes how these different actors can work together.

Defining logistics preparedness: a framework and research agenda

Purpose

The purpose of this paper is to contribute to a more complete understanding of logistics preparedness. By comparing extant research in preparedness and logistics with findings from empirical analysis of secondary data, the authors develop a definition of and framework for logistics preparedness, along with suggestions for future research agenda.

Design/methodology/approach

The authors link the way in which humanitarian organizations define and aim to achieve logistics preparedness with extant academic research. The authors critically analyze public data from 13 organizations that are active in disaster relief and review papers on logistics preparedness and humanitarian logistics.

Findings

The authors found that, despite the increased attention, there is no unified understanding across organizations about what constitutes logistics preparedness and how it can contribute to improvements in operations. Based on the review of the academic literature, the authors found that the same is true for humanitarian logistics research. The lack of a common understanding has resulted in low visibility of efforts and lack of knowledge on logistics preparedness.

Research limitations/implications

On the basis of extant research and practice, the authors suggest a definition of and framework for logistics preparedness with related suggestions for future studies.

Practical implications

Findings can help the humanitarian community gain a better understanding of their efforts related to developing logistics preparedness and can provide a better basis for communicating the need for, and results from, funding in preparedness.

Social implications

Results can support improvements in humanitarian supply chains, thereby providing affected people with rapid, cost-efficient, and better-adapted responses.

Originality/value

The findings contribute to humanitarian logistics literature, first by identifying the issues related to the lack of a common definition. Second, the authors extend the understanding of what constitutes logistics preparedness by proposing an operationalized framework and definition. Finally, the authors add to the literature by discussing what future topics and types of research may be required.