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Mechanics of humanitarian supply chain agility and resilience and its empirical validation

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  • Rameshwar Dubey
  • Sadia Samar Ali
  • Padmanabha Aital
  • V.G. Venkatesh

Abstract

The purpose of this paper is to establish the relationship between chain agility, supply chain resilience and humanitarian supply chain performance. In this paper, researchers have attempted to explain supply chain agility and supply chain resilience using oscillation physics theory and further attempted to test the theoretical concept empirically using psychometric tool. The researchers have collected data which represent 20% response rate is subjected to exploratory factor analysis (EFA) using principal component analysis (PCA). The EFA output is further tested using ordinary least-square regression to check the fitness of constructs as a CFA test. The confirmatory factor analysis (CFA) test output suggests that factors obtained using EFA represent the constructs of the model. The multivariate analysis shows that supply chain agility, supply chain resilience are two important determinants of the pre-disaster and post-disaster supply chain performance measures.

Suggested Citation

  • Rameshwar Dubey & Sadia Samar Ali & Padmanabha Aital & V.G. Venkatesh, 2014. "Mechanics of humanitarian supply chain agility and resilience and its empirical validation," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 17(4), pages 367-384.
    • Handle: RePEc:ids:ijsoma:v:17:y:2014:i:4:p:367-384
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    Citations

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    Cited by:

    1. Narayan Prasad Nagendra & Gopalakrishnan Narayanamurthy & Roger Moser, 2022. "Management of humanitarian relief operations using satellite big data analytics: the case of Kerala floods," Annals of Operations Research, Springer, vol. 319(1), pages 885-910, December.
    2. Ashrafi, Amir & Zare Ravasan, Ahad & Trkman, Peter & Afshari, Samira, 2019. "The role of business analytics capabilities in bolstering firms’ agility and performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 1-15.
    3. Qader, Ghulam & Junaid, Muhammad & Abbas, Qamar & Mubarik, Muhammad Shujaat, 2022. "Industry 4.0 enables supply chain resilience and supply chain performance," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    4. Sivadass Thiruchelvam & Mohd Fauzi Ismail & Azrul Ghazali & Kamal Nasharuddin Mustapha & Fatin Faiqah Norkhair & Nora Yahya & Abdul Aziz Mat Isa & Zakaria Che Muda, 2018. "Development of Humanitraian Supply Chain Performance Conceptual Framework in Creating Resilient Logistics Network," Malaysian Journal of Geosciences (MJG), Zibeline International Publishing, vol. 2(1), pages 30-33, January.
    5. Aghajani, Mojtaba & Ali Torabi, S. & Altay, Nezih, 2023. "Resilient relief supply planning using an integrated procurement-warehousing model under supply disruption," Omega, Elsevier, vol. 118(C).
    6. Zerin Tasnim & Mahmud Akhter Shareef & Yogesh K. Dwivedi & Uma Kumar & Vinod Kumar & F. Tegwen Malik & Ramakrishnan Raman, 2023. "Tourism sustainability during COVID-19: developing value chain resilience," Operations Management Research, Springer, vol. 16(1), pages 391-407, March.
    7. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
    8. Mahmud A. Shareef & Yogesh K. Dwivedi & Vinod Kumar & D. Laurie Hughes & Ramakrishnan Raman, 2022. "Sustainable supply chain for disaster management: structural dynamics and disruptive risks," Annals of Operations Research, Springer, vol. 319(1), pages 1451-1475, December.
    9. Afraz, Muhammad Fawad & Bhatti, Sabeen Hussain & Ferraris, Alberto & Couturier, Jerome, 2021. "The impact of supply chain innovation on competitive advantage in the construction industry: Evidence from a moderated multi-mediation model," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    10. Jiandong Chen & Ping Wang & Jixian Zhou & Malin Song & Xinyue Zhang, 2022. "Influencing factors and efficiency of funds in humanitarian supply chains: the case of Chinese rural minimum living security funds," Annals of Operations Research, Springer, vol. 319(1), pages 413-438, December.
    11. Annarelli, Alessandro & Nonino, Fabio, 2016. "Strategic and operational management of organizational resilience: Current state of research and future directions," Omega, Elsevier, vol. 62(C), pages 1-18.
    12. Abhinav Kumar & Jyoti Prakash Singh & Yogesh K. Dwivedi & Nripendra P. Rana, 2022. "A deep multi-modal neural network for informative Twitter content classification during emergencies," Annals of Operations Research, Springer, vol. 319(1), pages 791-822, December.
    13. Rodolfo Modrigais Strauss Nunes & Susana Carla Farias Pereira, 2022. "Intellectual structure and trends in the humanitarian operations field," Annals of Operations Research, Springer, vol. 319(1), pages 1099-1157, December.
    14. 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.
    15. 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.
    16. 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.

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