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Dubey, R, Bryde, DJ, Dwivedi, YK, Graham, G and Foropon, C (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, 250. ISSN 0925-5273
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Abstract
This study attempts to understand the role of artificial intelligence-driven big data analytics capability in humanitarian relief operations. The disasters play an important role in mobilizing several organizations to act on them, but the organizations often find it hard to strike a fine balance between agility and resilience. Operations Management Scholars’ opinion remains divided on responsiveness and efficiency fronts. However, to manage unexpected events like disasters the organizations need to be agile and resilient. In previous studies, scholars have adopted the resource-based view or dynamic capability view to explain the combination of resources and capabilities (i.e., technology, agility, and resilience) to explain the performance. However, following some recent scholarly debates, we argue that organizational theories like the resource-based view or dynamic capability view are not suitable enough to explain the humanitarian supply chain performance as the underlying assumptions of the commercial supply chain do not hold true in the case of the humanitarian supply chain. We note this as a potential research gap in the existing literature. Moreover, humanitarian organizations remain skeptical regarding the adoption of artificial intelligence-driven big data analytics capability (AI-BDAC) in the decision-making process. To address these potential gaps, we grounded our theoretical model in the practice-based view which is proposed as an appropriate lens through which to examine the role of practices that are not rare and are easy to imitate in performance. We used Partial Least Squares (PLS) to test our theoretical model and research hypotheses, using 171 usable responses gathered through a web survey of international non-governmental organizations (NGOs). The findings of our study suggest that AI-BDAC is a significant determinant of agility, resilience, and performance of the humanitarian supply chain. Furthermore, the reduction of the level of information complexity (IC) on the paths joining agility, resilience, and performance in the humanitarian supply chain. These results offer some useful theoretical contributions to the contingent view of the practice-based view. We have further outlined the limitations and the future research directions of the study.
| Item Type: | Article |
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| Uncontrolled Keywords: | Operations Research |
| Subjects: | H Social Sciences > HF Commerce > HF5001 Business H Social Sciences > HB Economic Theory H Social Sciences > HM Sociology J Political Science > JA Political science (General) T Technology > T Technology (General) |
| Divisions: | Doctoral Management Studies (from Sep 19) |
| Publisher: | Elsevier |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 24 Aug 2022 10:50 |
| Last Modified: | 20 Dec 2022 08:45 |
| DOI or ID number: | 10.1016/j.ijpe.2022.108618 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/17443 |
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