IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v283y2019i1d10.1007_s10479-018-2963-3.html
   My bibliography  Save this article

Modelling the inter-relationship between factors affecting coordination in a humanitarian supply chain: a case of Chennai flood relief

Author

Listed:
  • Lijo John

    (Indian Institute of Management Kozhikode (IIMK))

  • Anand Gurumurthy

    (Indian Institute of Management Kozhikode (IIMK))

  • Gunjan Soni

    (Malaviya National Institute of Technology, Jaipur)

  • Vipul Jain

    (Victoria University of Wellington)

Abstract

The humanitarian supply chain (HSC) aims at providing relief to affected people in the wake of a disaster at the right place and at the right time to reduce their suffering. One of the major challenges faced by the HSC is the coordination between various actors. Previous studies have identified the factors affecting coordination but the literature is silent on the inter-dependence between these factors (criteria). In this study, we identify the factors affecting coordination based on the review of extant literature in HSC and interviews with multiple individuals representing various stakeholders involved with the relief activities carried out during the Chennai floods. These factors were grouped into four categories: information sharing, diversity (of the humanitarian agencies), organizational mandates and material convergence. We use a hybrid fuzzy DEMATEL-ANP methodology to identify the interdependence and develop the network relationship diagram by mapping the interdependence between the factors affecting the effective coordination between the actors in HSC. Our results indicate that information exchange between the humanitarian actors (HA) tantamount to achieve coordination in post disaster response phase. However, with the improvement in the post–disaster coordination, the HAs need to focus on pre-disaster preparedness phase through strong alignment of organizational mandates of HAs and focus on the diverse nature of HAs to align their operational strategies through standardized operations, inter-operability of activities and building trust through long term associations.

Suggested Citation

  • Lijo John & Anand Gurumurthy & Gunjan Soni & Vipul Jain, 2019. "Modelling the inter-relationship between factors affecting coordination in a humanitarian supply chain: a case of Chennai flood relief," Annals of Operations Research, Springer, vol. 283(1), pages 1227-1258, December.
  • Handle: RePEc:spr:annopr:v:283:y:2019:i:1:d:10.1007_s10479-018-2963-3
    DOI: 10.1007/s10479-018-2963-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-018-2963-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-018-2963-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nezih Altay & Raktim Pal, 2014. "Information Diffusion among Agents: Implications for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 1015-1027, June.
    2. Ertem, Mustafa A. & Buyurgan, Nebil & Pohl, Edward A., 2012. "Using announcement options in the bid construction phase for disaster relief procurement," Socio-Economic Planning Sciences, Elsevier, vol. 46(4), pages 306-314.
    3. A. Anaya-Arenas & J. Renaud & A. Ruiz, 2014. "Relief distribution networks: a systematic review," Annals of Operations Research, Springer, vol. 223(1), pages 53-79, December.
    4. Balcik, Burcu & Beamon, Benita M. & Krejci, Caroline C. & Muramatsu, Kyle M. & Ramirez, Magaly, 2010. "Coordination in humanitarian relief chains: Practices, challenges and opportunities," International Journal of Production Economics, Elsevier, vol. 126(1), pages 22-34, July.
    5. L N Van Wassenhove, 2006. "Humanitarian aid logistics: supply chain management in high gear," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 475-489, May.
    6. Holguín-Veras, José & Taniguchi, Eiichi & Jaller, Miguel & Aros-Vera, Felipe & Ferreira, Frederico & Thompson, Russell G., 2014. "The Tohoku disasters: Chief lessons concerning the post disaster humanitarian logistics response and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 86-104.
    7. Zetter, Roger, 1995. "Incorporation and exclusion: The life cycle of Malawi's Refugee assistance program," World Development, Elsevier, vol. 23(10), pages 1653-1667, October.
    8. Davis, Lauren B. & Samanlioglu, Funda & Qu, Xiuli & Root, Sarah, 2013. "Inventory planning and coordination in disaster relief efforts," International Journal of Production Economics, Elsevier, vol. 141(2), pages 561-573.
    9. Adam Kamradt-Scott, 2016. "WHO’s to blame? The World Health Organization and the 2014 Ebola outbreak in West Africa," Third World Quarterly, Taylor & Francis Journals, vol. 37(3), pages 401-418, March.
    10. Özlem Ergun & Luyi Gui & Jessica L. Heier Stamm & Pinar Keskinocak & Julie Swann, 2014. "Improving Humanitarian Operations through Technology-Enabled Collaboration," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 1002-1014, June.
    11. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    12. Tatham, Peter & Kovács, Gyöngyi, 2010. "The application of "swift trust" to humanitarian logistics," International Journal of Production Economics, Elsevier, vol. 126(1), pages 35-45, July.
    13. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    14. Mohammad Moshtari, 2016. "Inter-Organizational Fit, Relationship Management Capability, and Collaborative Performance within a Humanitarian Setting," Production and Operations Management, Production and Operations Management Society, vol. 25(9), pages 1542-1557, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Surajit Bag & Shivam Gupta & Lincoln Wood, 2022. "Big data analytics in sustainable humanitarian supply chain: barriers and their interactions," Annals of Operations Research, Springer, vol. 319(1), pages 721-760, December.
    2. Gupta, Shivam & Modgil, Sachin & Kumar, Ajay & Sivarajah, Uthayasankar & Irani, Zahir, 2022. "Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations," International Journal of Production Economics, Elsevier, vol. 254(C).
    3. Rajak, Sonu & Mathiyazhagan, K. & Agarwal, Vernika & Sivakumar, K. & Kumar, Vikas & Appolloni, Andrea, 2022. "Issues and analysis of critical success factors for the sustainable initiatives in the supply chain during COVID- 19 pandemic outbreak in India: A case study," Research in Transportation Economics, Elsevier, vol. 93(C).
    4. Zhanwu Wang & Guangyin Xu & Zhenfeng Wang & Zhiping Zhang, 2022. "Sustainability of agricultural waste power generation industry in China: criteria relationship identification and policy design mechanism," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3371-3395, March.
    5. Fan Chen & Sen Liu & Andrea Appolloni, 2020. "Horizontal Coordination of I-LNGOs in the Humanitarian Supply Chain: An Evolutionary Game Approach," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    6. Shivam Gupta & Sachin Modgil & Ajay Kumar & Uthayasankar Sivarajah & Zahir Irani, 2022. "Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations," Post-Print hal-04325638, HAL.
    7. Koppiahraj Karuppiah & Bathrinath Sankaranarayanan & Syed Mithun Ali & Sanjoy Kumar Paul, 2021. "Key Challenges to Sustainable Humanitarian Supply Chains: Lessons from the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(11), pages 1-20, May.
    8. Guo Fuli & Cyril Foropon & Ma Xin, 2022. "Reducing carbon emissions in humanitarian supply chain: the role of decision making and coordination," Annals of Operations Research, Springer, vol. 319(1), pages 355-377, December.
    9. Sergey Kovalev & Isabelle Chalamon & Fabio J. Petani, 2023. "Maximizing single attribute diversity in group selection," Annals of Operations Research, Springer, vol. 320(1), pages 535-540, January.
    10. Pravin Kumar & Rajesh Kr Singh, 2022. "Application of Industry 4.0 technologies for effective coordination in humanitarian supply chains: a strategic approach," Annals of Operations Research, Springer, vol. 319(1), pages 379-411, December.
    11. Christian Wankmüller & Gerald Reiner, 2021. "Identifying Challenges and Improvement Approaches for More Efficient Procurement Coordination in Relief Supply Chains," Sustainability, MDPI, vol. 13(4), pages 1-23, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
    2. Yusen Ye & Wen Jiao & Hong Yan, 2020. "Managing Relief Inventories Responding to Natural Disasters: Gaps Between Practice and Literature," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 807-832, April.
    3. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    4. Devendra K. Yadav & Akhilesh Barve, 2016. "Modeling Post-disaster Challenges of Humanitarian Supply Chains: A TISM Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(3), pages 321-340, September.
    5. Renata Turkeš & Daniel Palhazi Cuervo & Kenneth Sörensen, 2019. "Pre-positioning of emergency supplies: does putting a price on human life help to save lives?," Annals of Operations Research, Springer, vol. 283(1), pages 865-895, December.
    6. Rameshwar Dubey & Nezih Altay & Constantin Blome, 2019. "Swift trust and commitment: The missing links for humanitarian supply chain coordination?," Annals of Operations Research, Springer, vol. 283(1), pages 159-177, December.
    7. Christian Wankmüller & Gerald Reiner, 2021. "Identifying Challenges and Improvement Approaches for More Efficient Procurement Coordination in Relief Supply Chains," Sustainability, MDPI, vol. 13(4), pages 1-23, February.
    8. Sarah Schiffling & Claire Hannibal & Matthew Tickle & Yiyi Fan, 2022. "The implications of complexity for humanitarian logistics: a complex adaptive systems perspective," Annals of Operations Research, Springer, vol. 319(1), pages 1379-1410, December.
    9. Pravin Kumar & Rajesh Kr Singh, 2022. "Application of Industry 4.0 technologies for effective coordination in humanitarian supply chains: a strategic approach," Annals of Operations Research, Springer, vol. 319(1), pages 379-411, December.
    10. Laura Laguna-Salvadó & Matthieu Lauras & Uche Okongwu & Tina Comes, 2019. "A multicriteria Master Planning DSS for a sustainable humanitarian supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 1303-1343, December.
    11. Christian Wankmüller & Gerald Reiner, 2020. "Coordination, cooperation and collaboration in relief supply chain management," Journal of Business Economics, Springer, vol. 90(2), pages 239-276, March.
    12. Fan Chen & Sen Liu & Andrea Appolloni, 2020. "Horizontal Coordination of I-LNGOs in the Humanitarian Supply Chain: An Evolutionary Game Approach," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    13. Rodríguez-Espíndola, Oscar & Albores, Pavel & Brewster, Christopher, 2018. "Dynamic formulation for humanitarian response operations incorporating multiple organisations," International Journal of Production Economics, Elsevier, vol. 204(C), pages 83-98.
    14. Anne M. Quarshie & Rudolf Leuschner, 2020. "Interorganizational Interaction in Disaster Response Networks: A Government Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(3), pages 3-25, July.
    15. Iana Shaheen & Arash Azadegan, 2020. "Friends or Colleagues? Communal and Exchange Relationships During stages of Humanitarian Relief," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2828-2850, December.
    16. Jónas Oddur Jónasson & Kamalini Ramdas & Alp Sungu, 2022. "Social impact operations at the global base of the pyramid," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4364-4378, December.
    17. Lea Ruesch & Murat Tarakci & Maria Besiou & Niels Van Quaquebeke, 2022. "Orchestrating coordination among humanitarian organizations," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 1977-1996, May.
    18. Sachin Modgil & Rohit Kumar Singh & Cyril Foropon, 2022. "Quality management in humanitarian operations and disaster relief management: a review and future research directions," Annals of Operations Research, Springer, vol. 319(1), pages 1045-1098, December.
    19. V. G. Venkatesh & Abraham Zhang & Eric Deakins & Sunil Luthra & S. Mangla, 2019. "A fuzzy AHP-TOPSIS approach to supply partner selection in continuous aid humanitarian supply chains," Annals of Operations Research, Springer, vol. 283(1), pages 1517-1550, December.
    20. Charbel José Chiappetta Jabbour & Vinicius Amorim Sobreiro & Ana Beatriz Lopes de Sousa Jabbour & Lucila Maria Souza Campos & Enzo Barberio Mariano & Douglas William Scott Renwick, 2019. "An analysis of the literature on humanitarian logistics and supply chain management: paving the way for future studies," Annals of Operations Research, Springer, vol. 283(1), pages 289-307, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:283:y:2019:i:1:d:10.1007_s10479-018-2963-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.