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An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain

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  • Rameshwar Dubey
  • David J. Bryde
  • Cyril Foropon
  • Manisha Tiwari
  • Yogesh Dwivedi
  • Sarah Schiffling

Abstract

Our study examines the relationship between information alignment (IA), collaboration (CO) and supply chain agility (SCAG) under the moderating effects of artificial intelligence-driven big data analytics capability (AI-BDAC) and intergroup leadership (IGL). We have grounded our theoretical model in the resource-based view (RBV) and contingency theory and further tested our research hypotheses using multi-informant data collected using a web-based pre-tested instrument from 613 individuals working in 193 humanitarian organisations drawn from 24 countries located on various continents across the globe. We tested our research hypotheses using variance-based structural equation modelling (PLS-SEM). Our study offers interesting results which help to advance the theoretical debates surrounding technology-driven supply chain agility in the context of humanitarian settings. We further provide some directions to managers engaged in disaster relief operations, who are contemplating using emerging technologies to enhance collaboration and supply chain agility. Finally, we have outlined the limitations of our study and offer some future research directions.

Suggested Citation

  • Rameshwar Dubey & David J. Bryde & Cyril Foropon & Manisha Tiwari & Yogesh Dwivedi & Sarah Schiffling, 2021. "An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 59(5), pages 1586-1605, March.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:5:p:1586-1605
    DOI: 10.1080/00207543.2020.1865583
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    Cited by:

    1. Li, Siyu & Huo, Baofeng & Han, Zhaojun, 2022. "A literature review towards theories and conceptual models of empirical studies on supply chain integration and performance," International Journal of Production Economics, Elsevier, vol. 250(C).
    2. Iskender Peker & Ilker Murat AR & Ismail Erol & Cory Searcy, 2023. "Leveraging blockchain in response to a pandemic through disaster risk management: an IF-MCDM framework," Operations Management Research, Springer, vol. 16(2), pages 642-667, June.
    3. Rameshwar Dubey, 2022. "Design and management of humanitarian supply chains: challenges, solutions, and frameworks," Annals of Operations Research, Springer, vol. 319(1), pages 1-14, December.
    4. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril, 2022. "Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view," International Journal of Production Economics, Elsevier, vol. 250(C).
    5. Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Giannakis, Mihalis & Foropon, Cyril, 2023. "Data-driven digital transformation and the implications for antifragility in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 266(C).
    6. Di Vaio, Assunta & Hassan, Rohail & Alavoine, Claude, 2022. "Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    7. Chatterjee, Sheshadri & Rana, Nripendra P. & Dwivedi, Yogesh K. & Baabdullah, Abdullah M., 2021. "Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    8. Ipek Kocoglu & Halit Keskin & Murat Cemberci & Mustafa Emre Civelek, 2022. "Effect of Supply Chain Coordination on Performance: A Serial Mediation Model of Trust, Agility, and Collaboration," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 15(1), pages 1-15, January.
    9. 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).
    10. Koppiahraj Karuppiah & Bathrinath Sankaranarayanan & Syed Mithun Ali, 2022. "Modeling Impacts of COVID-19 in Supply Chain Activities: A Grey-DEMATEL Approach," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
    11. Esra Boz & Sinan Çizmecioğlu & Ahmet Çalık, 2022. "A Novel MDCM Approach for Sustainable Supplier Selection in Healthcare System in the Era of Logistics 4.0," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    12. Muhammad Khan & Gohar Saleem Parvaiz & Abbas Ali & Majid Jehangir & Noor Hassan & Junghan Bae, 2022. "A Model for Understanding the Mediating Association of Transparency between Emerging Technologies and Humanitarian Logistics Sustainability," Sustainability, MDPI, vol. 14(11), pages 1-23, June.
    13. Surajit Bag & Muhammad Sabbir Rahman & Gautam Srivastava & Peter Kilbourn & Nishikant Mishra, 2024. "Buyer–supplier partnerships and circular economy performance in food supply chains: Serial mediation by commitment contract and innovation performance," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 1247-1264, February.
    14. Choudhury, Nishat Alam & Ramkumar, M. & Schoenherr, Tobias & Singh, Shalabh, 2023. "The role of operations and supply chain management during epidemics and pandemics: Potential and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).

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