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The application of "swift trust" to humanitarian logistics

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  • Tatham, Peter
  • Kovács, Gyöngyi

Abstract

Trust is essential to supply chain teams as it has a positive impact on team performance. Long-term relationships in supply chains have also emphasised trust as their key element. Yet traditional models of trust have a limited application in hastily formed networks that are formed on the spot without a long-term component. An example of such hastily formed networks is the humanitarian aid supply network, which consists of a number of individual logisticians from a variety of organisations, coming together to bring relief to a disaster-stricken area. The aim of this paper is, thus, to further the understanding of swift trust in hastily formed networks as a means of improving relief operations in rapid onset disasters. A model of swift trust is presented, and each of its conditions discussed to unearth potential facilitators of swift trust.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:proeco:v:126:y:2010:i:1:p:35-45
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    References listed on IDEAS

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    Cited by:

    1. Kumar, Sameer & Havey, Thomas, 2013. "Before and after disaster strikes: A relief supply chain decision support framework," International Journal of Production Economics, Elsevier, vol. 145(2), pages 613-629.
    2. 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.
    3. Chakravarty, Amiya K., 2011. "A contingent plan for disaster response," International Journal of Production Economics, Elsevier, vol. 134(1), pages 3-15, November.
    4. 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.
    5. 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.
    6. 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.
    7. Shivam Gupta & Nezih Altay & Zongwei Luo, 2019. "Big data in humanitarian supply chain management: a review and further research directions," Annals of Operations Research, Springer, vol. 283(1), pages 1153-1173, December.
    8. 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.
    9. Hassani Mahmooei, Behrooz & Parris, Brett, 2012. "Dynamics of effort allocation and evolution of trust: an agent-based model," MPRA Paper 44919, University Library of Munich, Germany.
    10. Chakravarty, Amiya K., 2014. "Humanitarian relief chain: Rapid response under uncertainty," International Journal of Production Economics, Elsevier, vol. 151(C), pages 146-157.
    11. 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.
    12. 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.
    13. 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.
    14. Xihui Wang & Yunfei Wu & Liang Liang & Zhimin Huang, 2016. "Service outsourcing and disaster response methods in a relief supply chain," Annals of Operations Research, Springer, vol. 240(2), pages 471-487, May.
    15. Iana Shaheen & Arash Azadegan & Samuel Roscoe, 2021. "Who Takes Risks? A Framework on Organizational Risk‐Taking During Sudden‐Onset Disasters," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4023-4043, November.
    16. Richard Oloruntoba & Gazi Farid Hossain & Beverly Wagner, 2019. "Theory in humanitarian operations research," Annals of Operations Research, Springer, vol. 283(1), pages 543-560, December.
    17. 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.

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