Pub Date : 2022-04-22DOI: 10.1108/jhlscm-01-2022-0012
N. A. Abdul Rahman, Aidi Ahmi, Luai Jraisat, A. Upadhyay
Purpose This research aims to shed light on the trend of humanitarian supply chain (HSC) studies in the era of pre, during and post coronavirus disease 2019 (COVID-19) pandemic outbreaks. This study provides comprehensive bibliometric mapping published in the 21 top vintage sources globally providing detailed metadata on HSC articles. The manuscript objectives are threefold: to explore the documents that are published in the field of humanitarian logistics and supply chain; second, to identify details of articles in humanitarian logistics and supply chain and thirdly, to explore research the critical area published in the HSC in pre, during and post era of pandemic COVID-19.Design/methodology/approach This research adopts bibliometric analysis of HSC studies using the Biblioshiny, a shiny app for the Bibliometrix R package. The tool employed in this study decodes the data extracted from the Scopus database to various visualized forms. The review of the HSC studies in this research covers all related publications from 2006 to early 2022. The record of the article was scanned and refined accordingly.Findings A multi perspectives of HSC studies were explored, discussed and identified. The bibliometric analysis findings offer significant information on the current and future trend publications in the area of humanitarian logistics and supply chain. Additionally, it also provides significant information on the highly cited documents in humanitarian logistics and supply chain studies, most productive contributors, keywords analysis findings, most productive countries and sources, network analysis data on co-occurrence network and themes mapping information in the field of humanitarian logistics supply chain before and after pandemic COVID-19.Research limitations/implications A multi-perspective of HSC studies was explored only within the online Scopus database. It excludes other articles published in other databases. Future research could explore related articles published in other recognized databases.Practical implications Practitioners can use multi perspectives findings from pre, during and post-pandemic COVID-19 issues discussed in this paper to get new insight and perception of the issue to facilitate their current and future operation and strategy.Originality/value To the best of the researchers’ knowledge, this is the first bibliometric study to analyze the trend of HSC studies using Biblioshiny focusing on pre, during and post COVID-19 pandemic. The review highlights annual publication trends, most productive authors, most cited papers, most productive countries, most productive institutions and most productive sources, which leads to a number of future research agendas for future studies.
{"title":"Examining the trend of humanitarian supply chain studies: pre, during and post COVID-19 pandemic","authors":"N. A. Abdul Rahman, Aidi Ahmi, Luai Jraisat, A. Upadhyay","doi":"10.1108/jhlscm-01-2022-0012","DOIUrl":"https://doi.org/10.1108/jhlscm-01-2022-0012","url":null,"abstract":"Purpose This research aims to shed light on the trend of humanitarian supply chain (HSC) studies in the era of pre, during and post coronavirus disease 2019 (COVID-19) pandemic outbreaks. This study provides comprehensive bibliometric mapping published in the 21 top vintage sources globally providing detailed metadata on HSC articles. The manuscript objectives are threefold: to explore the documents that are published in the field of humanitarian logistics and supply chain; second, to identify details of articles in humanitarian logistics and supply chain and thirdly, to explore research the critical area published in the HSC in pre, during and post era of pandemic COVID-19.Design/methodology/approach This research adopts bibliometric analysis of HSC studies using the Biblioshiny, a shiny app for the Bibliometrix R package. The tool employed in this study decodes the data extracted from the Scopus database to various visualized forms. The review of the HSC studies in this research covers all related publications from 2006 to early 2022. The record of the article was scanned and refined accordingly.Findings A multi perspectives of HSC studies were explored, discussed and identified. The bibliometric analysis findings offer significant information on the current and future trend publications in the area of humanitarian logistics and supply chain. Additionally, it also provides significant information on the highly cited documents in humanitarian logistics and supply chain studies, most productive contributors, keywords analysis findings, most productive countries and sources, network analysis data on co-occurrence network and themes mapping information in the field of humanitarian logistics supply chain before and after pandemic COVID-19.Research limitations/implications A multi-perspective of HSC studies was explored only within the online Scopus database. It excludes other articles published in other databases. Future research could explore related articles published in other recognized databases.Practical implications Practitioners can use multi perspectives findings from pre, during and post-pandemic COVID-19 issues discussed in this paper to get new insight and perception of the issue to facilitate their current and future operation and strategy.Originality/value To the best of the researchers’ knowledge, this is the first bibliometric study to analyze the trend of HSC studies using Biblioshiny focusing on pre, during and post COVID-19 pandemic. The review highlights annual publication trends, most productive authors, most cited papers, most productive countries, most productive institutions and most productive sources, which leads to a number of future research agendas for future studies.","PeriodicalId":46575,"journal":{"name":"Journal of Humanitarian Logistics and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48720731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-11DOI: 10.1108/jhlscm-03-2021-0024
R. Cole, Noor Al-Ma'aitah, Rima Al Hasan
PurposeThis paper presents an empirical study of a Syrian refugee workforce in textile export from Jordan. The purpose of this study is to determine the challenges of integrating Syrian refugees into the local workforce and to consider the implications of these challenges for the global supply chain aiming to create stable trade.Design/methodology/approachData were collected via three face-to-face focus group interviews with refugee workers and managers at a clothing factory site in Al-Duleil, Zarqa. Data were analysed using the Gioia methodology.FindingsWorker attitudes, factory environment, and government support are important factors for refugees' workforce participation. The success of integrating Syrian refugees into the Jordanian workforce was largely a matter of their attitudes, commitment and motivations for taking up manufacturing work. Misconceptions about the roles refugees will undertake were identified, which results in fewer people becoming self-sufficient through employment.Research limitations/implicationsThis research contributes to understanding refugees' long-term integration in the host country by investigating refugee workers' and their managers' perspectives. Considering the views of multiple stakeholders enrichs the literature on refugees' integration.Social implicationsUnderstanding refugees' perspectives facilitates their integration in the host country which leads to improvement in their wellbeing and quality of life. More broadly, Jordan's approach to integrating refugees into the economy is seen as a development opportunity rather than a crisis to be handled.Originality/valueRather than focus on the procedures of integrating refugees in the host country, this study provides the voices of refugee migrant workers themselves, thereby offering a more complete picture of those factors shaping refugees' (dis)integration in local communities.
{"title":"Integrating Syrian refugee workers in global supply chains: creating opportunities for stable trade","authors":"R. Cole, Noor Al-Ma'aitah, Rima Al Hasan","doi":"10.1108/jhlscm-03-2021-0024","DOIUrl":"https://doi.org/10.1108/jhlscm-03-2021-0024","url":null,"abstract":"PurposeThis paper presents an empirical study of a Syrian refugee workforce in textile export from Jordan. The purpose of this study is to determine the challenges of integrating Syrian refugees into the local workforce and to consider the implications of these challenges for the global supply chain aiming to create stable trade.Design/methodology/approachData were collected via three face-to-face focus group interviews with refugee workers and managers at a clothing factory site in Al-Duleil, Zarqa. Data were analysed using the Gioia methodology.FindingsWorker attitudes, factory environment, and government support are important factors for refugees' workforce participation. The success of integrating Syrian refugees into the Jordanian workforce was largely a matter of their attitudes, commitment and motivations for taking up manufacturing work. Misconceptions about the roles refugees will undertake were identified, which results in fewer people becoming self-sufficient through employment.Research limitations/implicationsThis research contributes to understanding refugees' long-term integration in the host country by investigating refugee workers' and their managers' perspectives. Considering the views of multiple stakeholders enrichs the literature on refugees' integration.Social implicationsUnderstanding refugees' perspectives facilitates their integration in the host country which leads to improvement in their wellbeing and quality of life. More broadly, Jordan's approach to integrating refugees into the economy is seen as a development opportunity rather than a crisis to be handled.Originality/valueRather than focus on the procedures of integrating refugees in the host country, this study provides the voices of refugee migrant workers themselves, thereby offering a more complete picture of those factors shaping refugees' (dis)integration in local communities.","PeriodicalId":46575,"journal":{"name":"Journal of Humanitarian Logistics and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62102466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-18DOI: 10.1108/jhlscm-04-2021-0029
T. Iqbal, Shabir Ahmad
PurposeMismanagement and corruption in disaster relief operations (DROs) have created a demand for transparency and visibility in humanitarian logistics and supply chains. The global relief organisations and recent research endorse the adoption of digital solutions in DROs. The purpose of this research is to examine the moderating role of digitalisation in enhancing transparency in humanitarian logistics and supply chains of DROs in Pakistan.Design/methodology/approachEmploying the quantitative research method, the data were collected from 340 disaster relief workers through survey questionnaires using the snowball sampling technique. The data were analysed in the SmartPLS3 software of PLS-SEM.FindingsThe findings suggested that in Pakistan, where corruption and mismanagement in humanitarian logistics and supply chain have been the greatest concerns of all the stakeholders, digitalisation of the DROs is a way forward to create transparency in the system and build the trust of the donor organisations and public.Research limitations/implicationsThe sample included only 340 disaster relief workers, future researchers may test the proposed model on a larger sample size and from different stakeholders' perspectives such as the disaster victims, government agencies and NGOs.Social implicationsThe ultimate beneficiaries of a digitalised and transparent humanitarian logistics and supply chain will be the society as a whole and particularly the victims of the disasters. By adopting the appropriate technologies in DROs, the victims will receive timely and entitled resources, and early warnings will save many lives.Originality/valueThe paper contributes to the body of knowledge by providing the first empirical evidence of examining the moderating role of digitalisation in creating transparency in humanitarian logistics from one of the top ten most disaster-affected nations.
{"title":"Transparency in humanitarian logistics and supply chain: the moderating role of digitalisation","authors":"T. Iqbal, Shabir Ahmad","doi":"10.1108/jhlscm-04-2021-0029","DOIUrl":"https://doi.org/10.1108/jhlscm-04-2021-0029","url":null,"abstract":"PurposeMismanagement and corruption in disaster relief operations (DROs) have created a demand for transparency and visibility in humanitarian logistics and supply chains. The global relief organisations and recent research endorse the adoption of digital solutions in DROs. The purpose of this research is to examine the moderating role of digitalisation in enhancing transparency in humanitarian logistics and supply chains of DROs in Pakistan.Design/methodology/approachEmploying the quantitative research method, the data were collected from 340 disaster relief workers through survey questionnaires using the snowball sampling technique. The data were analysed in the SmartPLS3 software of PLS-SEM.FindingsThe findings suggested that in Pakistan, where corruption and mismanagement in humanitarian logistics and supply chain have been the greatest concerns of all the stakeholders, digitalisation of the DROs is a way forward to create transparency in the system and build the trust of the donor organisations and public.Research limitations/implicationsThe sample included only 340 disaster relief workers, future researchers may test the proposed model on a larger sample size and from different stakeholders' perspectives such as the disaster victims, government agencies and NGOs.Social implicationsThe ultimate beneficiaries of a digitalised and transparent humanitarian logistics and supply chain will be the society as a whole and particularly the victims of the disasters. By adopting the appropriate technologies in DROs, the victims will receive timely and entitled resources, and early warnings will save many lives.Originality/valueThe paper contributes to the body of knowledge by providing the first empirical evidence of examining the moderating role of digitalisation in creating transparency in humanitarian logistics from one of the top ten most disaster-affected nations.","PeriodicalId":46575,"journal":{"name":"Journal of Humanitarian Logistics and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2022-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45219408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-08DOI: 10.1108/jhlscm-02-2021-0015
Ludmylla da Silva Moreira, D. Mendes, Tharcisio Cotta Fontainha, A. Leiras
PurposeThe 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/approachThis 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.FindingsThe 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/valueThis 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.
{"title":"Managerial models for disaster and humanitarian operations: enhancing empirical validation through case studies of disaster responses in Haiti","authors":"Ludmylla da Silva Moreira, D. Mendes, Tharcisio Cotta Fontainha, A. Leiras","doi":"10.1108/jhlscm-02-2021-0015","DOIUrl":"https://doi.org/10.1108/jhlscm-02-2021-0015","url":null,"abstract":"PurposeThe 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/approachThis 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.FindingsThe 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/valueThis 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.","PeriodicalId":46575,"journal":{"name":"Journal of Humanitarian Logistics and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2022-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47685676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-11DOI: 10.1108/jhlscm-09-2021-0092
Mauro Vivaldini, Maria da Penha Melo Malda Iglesias
PurposeThis study intends to map the supply chain and characterize the business processes of a cultural center in an aggregated and coordinated operation to serve families in need during the Covid-19 pandemic. This case study analyzes distinct aspects of humanitarian management capable of contributing to the management of commercial supply chains.Design/methodology/approachAdopting a case study approach, this research contextualizes the view on humanitarian supply chains related to the importance of participating organizations' engagement and the relationship and similarity with business organizations.FindingsThe study presents the model adopted to undertake the aid operations, maps the cultural center's humanitarian supply chain, clarifies the relationships and operations developed and compares the business processes with those of commercial chains. Possibilities and initiatives are discussed that can contribute to business organizations' greater engagement in humanitarian actions.Research limitations/implicationsRestricted to one case involving the cultural center and the other agents researched, the information and considerations are limited, and any generalization should be treated with caution.Practical implicationsThe study is a practical example that clarifies how business organizations can engage in the supply chain of humanitarian institutions. It also illustrates ways to help these institutions improve their fund-raising initiatives.Social implicationsThis study is justified by the representativeness of humanitarian actions in critical periods such as the Covid-19 pandemic. The study also presents potential ways to contribute to operations of this nature and to encourage business organizations to improve participation in humanitarian movements.Originality/valueMany studies on the subject have highlighted the importance of comparing humanitarian and business supply chains through real case research.
{"title":"Humanitarian actions of a cultural center during the Covid-19 pandemic: an analogy with supply chain business processes","authors":"Mauro Vivaldini, Maria da Penha Melo Malda Iglesias","doi":"10.1108/jhlscm-09-2021-0092","DOIUrl":"https://doi.org/10.1108/jhlscm-09-2021-0092","url":null,"abstract":"PurposeThis study intends to map the supply chain and characterize the business processes of a cultural center in an aggregated and coordinated operation to serve families in need during the Covid-19 pandemic. This case study analyzes distinct aspects of humanitarian management capable of contributing to the management of commercial supply chains.Design/methodology/approachAdopting a case study approach, this research contextualizes the view on humanitarian supply chains related to the importance of participating organizations' engagement and the relationship and similarity with business organizations.FindingsThe study presents the model adopted to undertake the aid operations, maps the cultural center's humanitarian supply chain, clarifies the relationships and operations developed and compares the business processes with those of commercial chains. Possibilities and initiatives are discussed that can contribute to business organizations' greater engagement in humanitarian actions.Research limitations/implicationsRestricted to one case involving the cultural center and the other agents researched, the information and considerations are limited, and any generalization should be treated with caution.Practical implicationsThe study is a practical example that clarifies how business organizations can engage in the supply chain of humanitarian institutions. It also illustrates ways to help these institutions improve their fund-raising initiatives.Social implicationsThis study is justified by the representativeness of humanitarian actions in critical periods such as the Covid-19 pandemic. The study also presents potential ways to contribute to operations of this nature and to encourage business organizations to improve participation in humanitarian movements.Originality/valueMany studies on the subject have highlighted the importance of comparing humanitarian and business supply chains through real case research.","PeriodicalId":46575,"journal":{"name":"Journal of Humanitarian Logistics and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49100179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-03DOI: 10.1108/jhlscm-04-2021-0034
Henry Mutebi, M. Muhwezi, J. Ntayi, S. Mayanja, J. Munene
PurposeOrganisations involved in relief delivery tend to have cross-boundary mandates, which cause ambiguity of roles during delivery of relief services to the targeted victims. Having no clear role, specialisation affects service timeliness and increases resource duplication among the relief organisations. The objective of this study is to understand how organisational networks and organisational learning as complex adaptive system metaphors improve both organisational adaptability and role clarity in humanitarian logistics.Design/methodology/approachUsing ordinary partial least squares regression through SmartPLS version 3.3.3, the authors tested the study hypotheses basing on survey data collected from 315 respondents who were selected randomly to complete a self-administered questionnaire from 101 humanitarian organisations. Common method bias (CMB) associated with surveys was minimised by implementing both procedural and post statistics methods.FindingsThe results indicate that organisational networks and organisational learning have a significant influence on organisational adaptability and role clarity. The results also show that organisational adaptability partially mediates in the relationship between organisational networks, organisational learning and role clarity.Research limitations/implicationsThe major limitation of the study is that the authors have used cross-sectional data to test this research hypotheses. However, this was minimised following Guide and Ketokivi's (2015) recommendation on how to address the limitations of cross-sectional data or the use of longitudinal data that can address CMB and endogeneity problems.Practical implicationsManagers in humanitarian organisations can use the authors’ framework to understand, first, how complex adaptive system competence can be used to create organisational adaptability and, second, how organisational adaptability can help organisational networks and organisational learning in improving role clarity among humanitarian organisations by collaboratively working together.Originality/valueThis research contributes to the existing body of knowledge in humanitarian logistics and supply chain management by empirically testing the anecdotal and conceptual evidence. The findings may be useful to managers who are contemplating the use of organisational networks, organisational learning and organisational adaptability to improve role clarity in disaster relief-related activities.
{"title":"Organisational networks, organisational learning, organisational adaptability and role clarity among humanitarian organisations during relief delivery","authors":"Henry Mutebi, M. Muhwezi, J. Ntayi, S. Mayanja, J. Munene","doi":"10.1108/jhlscm-04-2021-0034","DOIUrl":"https://doi.org/10.1108/jhlscm-04-2021-0034","url":null,"abstract":"PurposeOrganisations involved in relief delivery tend to have cross-boundary mandates, which cause ambiguity of roles during delivery of relief services to the targeted victims. Having no clear role, specialisation affects service timeliness and increases resource duplication among the relief organisations. The objective of this study is to understand how organisational networks and organisational learning as complex adaptive system metaphors improve both organisational adaptability and role clarity in humanitarian logistics.Design/methodology/approachUsing ordinary partial least squares regression through SmartPLS version 3.3.3, the authors tested the study hypotheses basing on survey data collected from 315 respondents who were selected randomly to complete a self-administered questionnaire from 101 humanitarian organisations. Common method bias (CMB) associated with surveys was minimised by implementing both procedural and post statistics methods.FindingsThe results indicate that organisational networks and organisational learning have a significant influence on organisational adaptability and role clarity. The results also show that organisational adaptability partially mediates in the relationship between organisational networks, organisational learning and role clarity.Research limitations/implicationsThe major limitation of the study is that the authors have used cross-sectional data to test this research hypotheses. However, this was minimised following Guide and Ketokivi's (2015) recommendation on how to address the limitations of cross-sectional data or the use of longitudinal data that can address CMB and endogeneity problems.Practical implicationsManagers in humanitarian organisations can use the authors’ framework to understand, first, how complex adaptive system competence can be used to create organisational adaptability and, second, how organisational adaptability can help organisational networks and organisational learning in improving role clarity among humanitarian organisations by collaboratively working together.Originality/valueThis research contributes to the existing body of knowledge in humanitarian logistics and supply chain management by empirically testing the anecdotal and conceptual evidence. The findings may be useful to managers who are contemplating the use of organisational networks, organisational learning and organisational adaptability to improve role clarity in disaster relief-related activities.","PeriodicalId":46575,"journal":{"name":"Journal of Humanitarian Logistics and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49372519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-28DOI: 10.1108/jhlscm-01-2020-0007
A. Copping, N. Kuchai, Laura Hattam, Natalia Paszkiewicz, D. Albadra, P. Shepherd, Esra Sahin Burat, D. Coley
PurposeUnderstanding the supply network of construction materials used to construct shelters in refugee camps, or during the reconstruction of communities, is important as it can reveal the intricate links between different stakeholders and the volumes and speeds of material flows to the end-user. Using social network analysis (SNA) enables another dimension to be analysed – the role of commonalities. This is likely to be particularly important when attempting to replace vernacular materials with higher-performing alternatives or when encouraging the use of non-vernacular methods. This paper aims to analyse the supply networks of four different disaster-relief situations.Design/methodology/approachData were collected from interviews with 272 displaced (or formally displaced) families in Afghanistan, Bangladesh, Nepal and Turkey, often in difficult conditions.FindingsThe results show that the form of the supply networks was highly influenced by the nature/cause of the initial displacement, the geographical location, the local availability of materials and the degree of support/advice given by aid agencies and or governments. In addition, it was found that SNA could be used to indicate which strategies might work in a particular context and which might not, thereby potentially speeding up the delivery of novel solutions.Research limitations/implicationsThis study represents the first attempt in theorising and empirically investigating supply networks using SNA in a post-disaster reconstruction context. It is suggested that future studies might map the up-stream supply chain to include manufacturers and higher-order, out of country, suppliers. This would provide a complete picture of the origins of all materials and components in the supply network.Originality/valueThis is original research, and it aims to produce new knowledge.
{"title":"Understanding material and supplier networks in the construction of disaster-relief shelters: the feasibility of using social network analysis as a decision-making tool","authors":"A. Copping, N. Kuchai, Laura Hattam, Natalia Paszkiewicz, D. Albadra, P. Shepherd, Esra Sahin Burat, D. Coley","doi":"10.1108/jhlscm-01-2020-0007","DOIUrl":"https://doi.org/10.1108/jhlscm-01-2020-0007","url":null,"abstract":"PurposeUnderstanding the supply network of construction materials used to construct shelters in refugee camps, or during the reconstruction of communities, is important as it can reveal the intricate links between different stakeholders and the volumes and speeds of material flows to the end-user. Using social network analysis (SNA) enables another dimension to be analysed – the role of commonalities. This is likely to be particularly important when attempting to replace vernacular materials with higher-performing alternatives or when encouraging the use of non-vernacular methods. This paper aims to analyse the supply networks of four different disaster-relief situations.Design/methodology/approachData were collected from interviews with 272 displaced (or formally displaced) families in Afghanistan, Bangladesh, Nepal and Turkey, often in difficult conditions.FindingsThe results show that the form of the supply networks was highly influenced by the nature/cause of the initial displacement, the geographical location, the local availability of materials and the degree of support/advice given by aid agencies and or governments. In addition, it was found that SNA could be used to indicate which strategies might work in a particular context and which might not, thereby potentially speeding up the delivery of novel solutions.Research limitations/implicationsThis study represents the first attempt in theorising and empirically investigating supply networks using SNA in a post-disaster reconstruction context. It is suggested that future studies might map the up-stream supply chain to include manufacturers and higher-order, out of country, suppliers. This would provide a complete picture of the origins of all materials and components in the supply network.Originality/valueThis is original research, and it aims to produce new knowledge.","PeriodicalId":46575,"journal":{"name":"Journal of Humanitarian Logistics and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47378422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-17DOI: 10.1108/jhlscm-04-2021-0040
Alexander Garrido, Fabián Pongutá, O. Y. Buitrago
PurposeThe aim of this research is to improve the responsiveness of the healthcare network of a large city to a major earthquake, by applying a combined methodology to reduce human suffering and death.Design/methodology/approachScenario analysis, a non-linear programming (NLP) model, and the analytical network process are sequentially applied to find the “best location pattern”.FindingsWhen considering the occurrence of major earthquakes in cities with high population density, as a rule of thumb, the location of healthcare facilities should prioritize areas characteristically overcrowded and/or that were built based on poor standards of seismic resistance.Research limitations/implicationsThe proposed research design does not include a cost criterion in the set of decision variables involved. Furthermore, the results derived from the NLP-model are restricted by the input simulation data.Practical implicationsThe performance of the “best location pattern” is compared with the current location of healthcare facilities in terms of their distances to the affected zones. Metropolis areas worldwide with similar conditions to the city under consideration could be benefited from applying the general methodology for relocation of healthcare facilities described in this research.Originality/valueThis research implements a diverse combination of methodologies to examine the problem of relocating of healthcare facilities in a large city in the wake of an assumed earthquake. In addition, to the best of authors' knowledge, this is the first study of its kind that proposes improvements in the responsiveness of the healthcare facilities' network in the city in question.
{"title":"Relocation of public healthcare network of a large city in the event of a major earthquake: a combined methodological analysis","authors":"Alexander Garrido, Fabián Pongutá, O. Y. Buitrago","doi":"10.1108/jhlscm-04-2021-0040","DOIUrl":"https://doi.org/10.1108/jhlscm-04-2021-0040","url":null,"abstract":"PurposeThe aim of this research is to improve the responsiveness of the healthcare network of a large city to a major earthquake, by applying a combined methodology to reduce human suffering and death.Design/methodology/approachScenario analysis, a non-linear programming (NLP) model, and the analytical network process are sequentially applied to find the “best location pattern”.FindingsWhen considering the occurrence of major earthquakes in cities with high population density, as a rule of thumb, the location of healthcare facilities should prioritize areas characteristically overcrowded and/or that were built based on poor standards of seismic resistance.Research limitations/implicationsThe proposed research design does not include a cost criterion in the set of decision variables involved. Furthermore, the results derived from the NLP-model are restricted by the input simulation data.Practical implicationsThe performance of the “best location pattern” is compared with the current location of healthcare facilities in terms of their distances to the affected zones. Metropolis areas worldwide with similar conditions to the city under consideration could be benefited from applying the general methodology for relocation of healthcare facilities described in this research.Originality/valueThis research implements a diverse combination of methodologies to examine the problem of relocating of healthcare facilities in a large city in the wake of an assumed earthquake. In addition, to the best of authors' knowledge, this is the first study of its kind that proposes improvements in the responsiveness of the healthcare facilities' network in the city in question.","PeriodicalId":46575,"journal":{"name":"Journal of Humanitarian Logistics and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2021-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43058588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-31DOI: 10.1108/jhlscm-12-2020-0119
Mahdi Masoumi, A. Aghsami, M. Alipour-Vaezi, F. Jolai, Behdad Esmailifar
PurposeDue to the randomness and unpredictability of many disasters, it is essential to be prepared to face difficult conditions after a disaster to reduce human casualties and meet the needs of the people. After the disaster, one of the most essential measures is to deliver relief supplies to those affected by the disaster. Therefore, this paper aims to assign demand points to the warehouses as well as routing their related relief vehicles after a disaster considering convergence in the border warehouses.Design/methodology/approachThis research proposes a multi-objective, multi-commodity and multi-period queueing-inventory-routing problem in which a queuing system has been applied to reduce the congestion in the borders of the affected zones. To show the validity of the proposed model, a small-size problem has been solved using exact methods. Moreover, to deal with the complexity of the problem, a metaheuristic algorithm has been utilized to solve the large dimensions of the problem. Finally, various sensitivity analyses have been performed to determine the effects of different parameters on the optimal response.FindingsAccording to the results, the proposed model can optimize the objective functions simultaneously, in which decision-makers can determine their priority according to the condition by using the sensitivity analysis results.Originality/valueThe focus of the research is on delivering relief items to the affected people on time and at the lowest cost, in addition to preventing long queues at the entrances to the affected areas.
{"title":"An M/M/C/K queueing system in an inventory routing problem considering congestion and response time for post-disaster humanitarian relief: a case study","authors":"Mahdi Masoumi, A. Aghsami, M. Alipour-Vaezi, F. Jolai, Behdad Esmailifar","doi":"10.1108/jhlscm-12-2020-0119","DOIUrl":"https://doi.org/10.1108/jhlscm-12-2020-0119","url":null,"abstract":"PurposeDue to the randomness and unpredictability of many disasters, it is essential to be prepared to face difficult conditions after a disaster to reduce human casualties and meet the needs of the people. After the disaster, one of the most essential measures is to deliver relief supplies to those affected by the disaster. Therefore, this paper aims to assign demand points to the warehouses as well as routing their related relief vehicles after a disaster considering convergence in the border warehouses.Design/methodology/approachThis research proposes a multi-objective, multi-commodity and multi-period queueing-inventory-routing problem in which a queuing system has been applied to reduce the congestion in the borders of the affected zones. To show the validity of the proposed model, a small-size problem has been solved using exact methods. Moreover, to deal with the complexity of the problem, a metaheuristic algorithm has been utilized to solve the large dimensions of the problem. Finally, various sensitivity analyses have been performed to determine the effects of different parameters on the optimal response.FindingsAccording to the results, the proposed model can optimize the objective functions simultaneously, in which decision-makers can determine their priority according to the condition by using the sensitivity analysis results.Originality/valueThe focus of the research is on delivering relief items to the affected people on time and at the lowest cost, in addition to preventing long queues at the entrances to the affected areas.","PeriodicalId":46575,"journal":{"name":"Journal of Humanitarian Logistics and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47320748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-25DOI: 10.1108/jhlscm-01-2021-0003
I. S. Damoah
PurposeThis study explores the critical success factors (CSFs) in humanitarian supply chain management (HSCM) by focussing on flood disaster management (FDM) in Ghana.Design/methodology/approachAn in-depth semi-structured interview and questionnaire surveys in a sequential data collection approach were used to collect data from definitive stakeholders of humanitarian organisations. The data was analysed using exploratory factor analysis (EFA), confirmatory factors analysis (CFA) and structural equation modelling (SEM) techniques.FindingsSeventy-four factors were identified as success factors of HSCM of flood disaster management. However, 41 of these factors were statistically significant and considered as critical. In descending order, these factors relate to management practices, education and training, stakeholder involvement and cooperation, infrastructure, innovation and technology, materials and resources, administrative practices, socio-cultural and economic. Whilst some factors are internal to the humanitarian organisations, others are external factors that are beyond the control of humanitarian organisations.Research limitations/implicationsEven though this study offers empirical results that could guide policymakers in their decision-making about humanitarian operations, care needs to be taken since the data is within one country and within a specific disaster context – hence, policymakers need to consider the local contextual dynamics. Future studies could look at different disasters context to make a comparative analysis of various types of disaster operations.Practical implicationsInstitutions such as World Health Organization, Red Cross organisations and UN seeking to curbs global-warming-related disasters and the reduction of the effects of flood disaster can use findings as a guide during the formulation of HSCM policies and strategies.Originality/valueUnlike previous studies of humanitarian operations that focussed extensively on theoretical expositions, simulations, conceptual frameworks and models, this present study offers empirical evidence of humanitarian operations in the context of SCM. Further, by highlighting on the HSCM CSFs, this study contributes to disaster reduction and their effects on humanity in the context of FDM. This research could be used as guide by governments and FDM organisations to make informed decisions on SCM areas to focus the most during FDM.
{"title":"Exploring critical success factors (CSFs) of humanitarian supply chain management (HSCM) in flood disaster management (FDM)","authors":"I. S. Damoah","doi":"10.1108/jhlscm-01-2021-0003","DOIUrl":"https://doi.org/10.1108/jhlscm-01-2021-0003","url":null,"abstract":"PurposeThis study explores the critical success factors (CSFs) in humanitarian supply chain management (HSCM) by focussing on flood disaster management (FDM) in Ghana.Design/methodology/approachAn in-depth semi-structured interview and questionnaire surveys in a sequential data collection approach were used to collect data from definitive stakeholders of humanitarian organisations. The data was analysed using exploratory factor analysis (EFA), confirmatory factors analysis (CFA) and structural equation modelling (SEM) techniques.FindingsSeventy-four factors were identified as success factors of HSCM of flood disaster management. However, 41 of these factors were statistically significant and considered as critical. In descending order, these factors relate to management practices, education and training, stakeholder involvement and cooperation, infrastructure, innovation and technology, materials and resources, administrative practices, socio-cultural and economic. Whilst some factors are internal to the humanitarian organisations, others are external factors that are beyond the control of humanitarian organisations.Research limitations/implicationsEven though this study offers empirical results that could guide policymakers in their decision-making about humanitarian operations, care needs to be taken since the data is within one country and within a specific disaster context – hence, policymakers need to consider the local contextual dynamics. Future studies could look at different disasters context to make a comparative analysis of various types of disaster operations.Practical implicationsInstitutions such as World Health Organization, Red Cross organisations and UN seeking to curbs global-warming-related disasters and the reduction of the effects of flood disaster can use findings as a guide during the formulation of HSCM policies and strategies.Originality/valueUnlike previous studies of humanitarian operations that focussed extensively on theoretical expositions, simulations, conceptual frameworks and models, this present study offers empirical evidence of humanitarian operations in the context of SCM. Further, by highlighting on the HSCM CSFs, this study contributes to disaster reduction and their effects on humanity in the context of FDM. This research could be used as guide by governments and FDM organisations to make informed decisions on SCM areas to focus the most during FDM.","PeriodicalId":46575,"journal":{"name":"Journal of Humanitarian Logistics and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46772487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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