IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v266y2023ics0925527323002918.html
   My bibliography  Save this article

Data-driven digital transformation and the implications for antifragility in the humanitarian supply chain

Author

Listed:
  • Bag, Surajit
  • Rahman, Muhammad Sabbir
  • Srivastava, Gautam
  • Giannakis, Mihalis
  • Foropon, Cyril

Abstract

Digital technologies often create confusion among donors involved in the humanitarian supply chain (HSC). Specifically, donors are unsure about whether to rely on their application. Moreover, while studies have continuously discussed improving resilience in HSC, scant studies have sought to improve antifragility in the HSC. Hence, this study aimed to investigate the impact of donor confidence in digital technology on antifragility in the HSC through the mediating influence of digital technology applications in sourcing, material flow, and distribution, with trust in digital technologies and perceived overall effective digital technology governance playing moderating roles. The theoretical model was developed using resource dependence theory. Primary data were collected by surveying 296 nongovernmental organizations (NGOs) involved in humanitarian operations. To test the measurement and structural models, partial least squares–based structural equation modeling (PLS-SEM) was applied in SmartPLS. The data supported all of the hypotheses. This study bridges the gap between theory and practice by highlighting that digital technology application in sourcing, material flow, and distribution is a critical mediator in building an antifragile HSC. Moreover, donor confidence in digital technologies is critical, which NGOs should keep in mind when making any digital technology-related decisions. They should focus on improving trust in digital technologies as well as the perception of the effectiveness of digital technology governance to remove obstacles related to digital technology applications for digital transformation in the HSC.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:proeco:v:266:y:2023:i:c:s0925527323002918
    DOI: 10.1016/j.ijpe.2023.109059
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527323002918
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2023.109059?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. 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.
    2. 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.
    3. Erica Gralla & Jarrod Goentzel & Charles Fine, 2014. "Assessing Trade-offs among Multiple Objectives for Humanitarian Aid Delivery Using Expert Preferences," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 978-989, June.
    4. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
    5. Benjamin R. Tukamuhabwa & Mark Stevenson & Jerry Busby & Marta Zorzini, 2015. "Supply chain resilience: definition, review and theoretical foundations for further study," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5592-5623, September.
    6. 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.
    7. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    8. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    9. Li, Feng, 2020. "The digital transformation of business models in the creative industries: A holistic framework and emerging trends," Technovation, Elsevier, vol. 92.
    10. 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.
    11. Ramezani, Javaneh & Camarinha-Matos, Luis M., 2020. "Approaches for resilience and antifragility in collaborative business ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    12. 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).
    13. Sachin S. Kamble & Angappa Gunasekaran, 2020. "Big data-driven supply chain performance measurement system: a review and framework for implementation," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 65-86, January.
    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. 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).
    16. Yu, Wantao & Chavez, Roberto & Jacobs, Mark A. & Feng, Mengying, 2018. "Data-driven supply chain capabilities and performance: A resource-based view," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 371-385.
    17. Rameshwar Dubey & David James Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2020. "Agility in humanitarian supply chain: An organizational information processing perspective and relational view," Post-Print hal-03539292, HAL.
    18. Hamann-Lohmer, Jacob & Bendig, Miriam & Lasch, Rainer, 2023. "Investigating the impact of digital transformation on relationship and collaboration dynamics in supply chains and manufacturing networks – A multi-case study," International Journal of Production Economics, Elsevier, vol. 262(C).
    19. Alessandra Cozzolino, 2021. "Platforms Enhancing the Engagement of the Private Sector in Humanitarian Relief Operations," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    20. Jaya Priyadarshini & Rajesh Kr Singh & Ruchi Mishra & Surajit Bag, 2022. "Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach," Operations Management Research, Springer, vol. 15(1), pages 567-588, June.
    21. Oliveira, Fabio & Kakabadse, Nada & Khan, Nadeem, 2022. "Board engagement with digital technologies: A resource dependence framework," Journal of Business Research, Elsevier, vol. 139(C), pages 804-818.
    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. Ghafoori, Arman & Gupta, Manjul & Merhi, Mohammad I. & Gupta, Samrat & Shore, Adam P., 2024. "Toward the role of organizational culture in data-driven digital transformation," International Journal of Production Economics, Elsevier, vol. 271(C).

    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 & 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).
    2. 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.
    3. 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).
    4. Hasti Seraji & Reza Tavakkoli-Moghaddam & Sobhan Asian & Harpreet Kaur, 2022. "An integrative location-allocation model for humanitarian logistics with distributive injustice and dissatisfaction under uncertainty," Annals of Operations Research, Springer, vol. 319(1), pages 211-257, December.
    5. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    6. Katarzyna Sienkiewicz-Małyjurek & Maciej Szymczak, 2024. "Understanding public service supply chain management: a systematic literature review," Management Review Quarterly, Springer, vol. 74(3), pages 1879-1943, September.
    7. 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.
    8. Talaei-Khoei, Amir & Yang, Alan T. & Masialeti, Masialeti, 2024. "How does incorporating ChatGPT within a firm reinforce agility-mediated performance? The moderating role of innovation infusion and firms’ ethical identity," Technovation, Elsevier, vol. 132(C).
    9. Sheshadri Chatterjee & Ranjan Chaudhuri & Sachin Kamble & Shivam Gupta & Uthayasankar Sivarajah, 2023. "Adoption of Artificial Intelligence and Cutting-Edge Technologies for Production System Sustainability: A Moderator-Mediation Analysis," Information Systems Frontiers, Springer, vol. 25(5), pages 1779-1794, October.
    10. Ghafoori, Arman & Gupta, Manjul & Merhi, Mohammad I. & Gupta, Samrat & Shore, Adam P., 2024. "Toward the role of organizational culture in data-driven digital transformation," International Journal of Production Economics, Elsevier, vol. 271(C).
    11. Josip Marić & Carlos Galera-Zarco & Marco Opazo-Basáez, 2022. "The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review," Annals of Operations Research, Springer, vol. 319(1), pages 1003-1044, December.
    12. 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).
    13. Abhishek Behl & Pankaj Dutta & Zongwei Luo & Pratima Sheorey, 2022. "Enabling artificial intelligence on a donation-based crowdfunding platform: a theoretical approach," Annals of Operations Research, Springer, vol. 319(1), pages 761-789, December.
    14. 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.
    15. Hunt, Kyle & Narayanan, Adithya & Zhuang, Jun, 2022. "Blockchain in humanitarian operations management: A review of research and practice," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    16. Li Cui & Hao Wu & Lin Wu & Ajay Kumar & Kim Hua Tan, 2023. "Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19," Annals of Operations Research, Springer, vol. 327(2), pages 825-853, August.
    17. Emilia Vann Yaroson & Soumyadeb Chowdhury & Sachin Kumar Mangla & Prasanta Kumar Dey, 2024. "Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing," Annals of Operations Research, Springer, vol. 342(2), pages 1321-1368, November.
    18. Syed Imran Zaman & Sharfuddin Ahmed Khan & Sahar Qabool & Himanshu Gupta, 2023. "How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach," Operations Management Research, Springer, vol. 16(2), pages 904-930, June.
    19. 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.
    20. 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.

    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:eee:proeco:v:266:y:2023:i:c:s0925527323002918. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.