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Agility in humanitarian supply chain: an organizational information processing perspective and relational view

Author

Listed:
  • Rameshwar Dubey

    (Liverpool John Moore’s University)

  • David J. Bryde

    (Liverpool John Moore’s University)

  • Cyril Foropon

    (Montpellier Research in Management)

  • Gary Graham

    (University of Leeds)

  • Mihalis Giannakis

    (Audencia Business School)

  • Deepa Bhatt Mishra

    (Montpellier Research in Management)

Abstract

Humanitarian organizations are increasingly facing challenges in terms of improving the efficiency and the effectiveness of their disaster relief efforts. These challenges often arise due to a lack of trust, poor collaboration and an inability to respond to disaster affected areas in a timely manner. Our study attempts to understand how these challenges are overcome by seeking answers to questions related to the topics of swift-trust, collaboration and agility in humanitarian supply chains. For instance, in our study we have attempted to examine how information sharing and supply chain visibility in humanitarian supply chains improve the swift-trust among the humanitarian actors engaged in disaster relief operations. Further, we attempt to understand how-swift trust, commitment and collaboration among the humanitarian actors improve the agility in humanitarian supply chains. In our study we provide both theoretical and data-driven answers to our stated research gaps. Our theoretical model is firmly grounded in organizational information process theory and relational view. We tested our research hypotheses using variance based structural equation modelling with survey data collected using a web based pre-tested instrument from 147 NGOs respondents drawn from the National Disaster Management Authority database. Our results help to advance the theoretical debates surrounding “swift-trust”, “collaboration” and “agility” in humanitarian settings. We further provide direction to managers engaged in disaster relief operations. The humanitarian actors engaged in disaster relief often fail to understand how to build swift-trust. Moreover, how swift-trust further affects commitment and collaboration which in turn further affect agility in humanitarian supply chains. Thus humanitarian organizations must understand how information sharing and supply chain visibility is key to swift-trust among humanitarian actors and agility in humanitarian supply chains. Finally, we outline the limitations of our study and offer some future research directions for investigation.

Suggested Citation

  • Rameshwar Dubey & David J. Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2022. "Agility in humanitarian supply chain: an organizational information processing perspective and relational view," Annals of Operations Research, Springer, vol. 319(1), pages 559-579, December.
    • Handle: RePEc:spr:annopr:v:319:y:2022:i:1:d:10.1007_s10479-020-03824-0
    DOI: 10.1007/s10479-020-03824-0
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    1. Ruth Banomyong & Paitoon Varadejsatitwong & Richard Oloruntoba, 2019. "A systematic review of humanitarian operations, humanitarian logistics and humanitarian supply chain performance literature 2005 to 2016," Annals of Operations Research, Springer, vol. 283(1), pages 71-86, December.
    2. G. Premkumar & William R. King, 1994. "Organizational Characteristics and Information Systems Planning: An Empirical Study," Information Systems Research, INFORMS, vol. 5(2), pages 75-109, June.
    3. Motamarri, Saradhi & Akter, Shahriar & Yanamandram, Venkata, 2020. "Frontline employee empowerment: Scale development and validation using Confirmatory Composite Analysis," International Journal of Information Management, Elsevier, vol. 54(C).
    4. Sabari R. Prasanna & Ira Haavisto, 2018. "Collaboration in humanitarian supply chains: an organisational culture framework," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5611-5625, September.
    5. Angappa Gunasekaran & Rameshwar Dubey & Samuel Fosso Wamba & Thanos Papadopoulos & Benjamin T. Hazen & Eric W.T. Ngai, 2018. "Bridging humanitarian operations management and organisational theory," International Journal of Production Research, Taylor & Francis Journals, vol. 56(21), pages 6735-6740, November.
    6. Rameshwar Dubey & Angappa Gunasekaran & David J. Bryde & Yogesh K. Dwivedi & Thanos Papadopoulos, 2020. "Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3381-3398, June.
    7. Mahmud Akhter Shareef & Yogesh K. Dwivedi & Rafeed Mahmud & Angela Wright & Mohammad Mahboob Rahman & Hatice Kizgin & Nripendra P. Rana, 2019. "Disaster management in Bangladesh: developing an effective emergency supply chain network," Annals of Operations Research, Springer, vol. 283(1), pages 1463-1487, December.
    8. 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.
    9. Vijayasarathy, Leo R., 2010. "Supply integration: An investigation of its multi-dimensionality and relational antecedents," International Journal of Production Economics, Elsevier, vol. 124(2), pages 489-505, April.
    10. Prajogo, Daniel & Olhager, Jan, 2012. "Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration," International Journal of Production Economics, Elsevier, vol. 135(1), pages 514-522.
    11. Emma Brandon-Jones & Brian Squire & Chad W. Autry & Kenneth J. Petersen, 2014. "A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness," Journal of Supply Chain Management, Institute for Supply Management, vol. 50(3), pages 55-73, July.
    12. Caridi, Maria & Crippa, Luca & Perego, Alessandro & Sianesi, Andrea & Tumino, Angela, 2010. "Do virtuality and complexity affect supply chain visibility?," International Journal of Production Economics, Elsevier, vol. 127(2), pages 372-383, October.
    13. Gunasekaran, Angappa & Papadopoulos, Thanos & Dubey, Rameshwar & Wamba, Samuel Fosso & Childe, Stephen J. & Hazen, Benjamin & Akter, Shahriar, 2017. "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, Elsevier, vol. 70(C), pages 308-317.
    14. 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.
    15. Sameer Prasad & Rimi Zakaria & Nezih Altay, 2018. "Big data in humanitarian supply chain networks: a resource dependence perspective," Annals of Operations Research, Springer, vol. 270(1), pages 383-413, November.
    16. Yusuf, Yahaya Y. & Gunasekaran, Angappa & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham M. & Cang, Shuang, 2014. "A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 531-543.
    17. 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.
    18. Brusset, Xavier, 2016. "Does supply chain visibility enhance agility?," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 46-59.
    19. 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.
    20. Rameshwar Dubey & Angappa Gunasekaran & Thanos Papadopoulos, 2019. "Disaster relief operations: past, present and future," Annals of Operations Research, Springer, vol. 283(1), pages 1-8, December.
    21. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    22. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    23. Yogesh K. Dwivedi & Mahmud Akhter Shareef & Bhasker Mukerji & Nripendra P. Rana & Kawaljeet Kaur Kapoor, 2018. "Involvement in emergency supply chain for disaster management: a cognitive dissonance perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 56(21), pages 6758-6773, November.
    24. ManMohan S. Sodhi & Christopher S. Tang, 2019. "Research Opportunities in Supply Chain Transparency," Production and Operations Management, Production and Operations Management Society, vol. 28(12), pages 2946-2959, December.
    25. Heidi Herlin & Ala Pazirandeh, 2015. "Avoiding the pitfalls of cooperative purchasing through control and coordination: insights from a humanitarian context," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 8(3), pages 303-325.
    26. Shahriar Akter & Samuel Fosso Wamba, 2019. "Big data and disaster management: a systematic review and agenda for future research," Annals of Operations Research, Springer, vol. 283(1), pages 939-959, December.
    27. José Alberto Camargo & Paulo Sérgio Miranda Mendonça & Jorge Henrique Caldeira Oliveira & Charbel José Chiapetta Jabbour & Ana Beatriz Lopes Sousa Jabbour, 2019. "Giving voice to the silent: a framework for understanding stakeholders’ participation in socially-oriented initiatives, community-based actions and humanitarian operations projects," Annals of Operations Research, Springer, vol. 283(1), pages 143-158, December.
    28. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    29. 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.
    30. 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.
    31. Yang, Jie, 2014. "Supply chain agility: Securing performance for Chinese manufacturers," International Journal of Production Economics, Elsevier, vol. 150(C), pages 104-113.
    32. Ravi Srinivasan & Morgan Swink, 2018. "An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1849-1867, October.
    33. Samuel Fosso Wamba & Andrew Edwards & Shahriar Akter, 2019. "Social media adoption and use for improved emergency services operations: the case of the NSW SES," Annals of Operations Research, Springer, vol. 283(1), pages 225-245, December.
    34. Emre Çankaya & Ali Ekici & Okan Örsan Özener, 2019. "Humanitarian relief supplies distribution: an application of inventory routing problem," Annals of Operations Research, Springer, vol. 283(1), pages 119-141, December.
    35. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    36. 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.
    37. 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.
    38. Shirish Jeble & Rameshwar Dubey & Stephen J. Childe & Thanos Papadopoulos & David Roubaud & Anand Prakash, 2018. "Impact of big data and predictive analytics capability on supply chain sustainability," Post-Print hal-02061341, HAL.
    39. 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.
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