Machine learning in disaster management: recent developments in methods and applications
Recent years include the world's hottest year, while they have been marked mainly, besides
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
Big Data in operations and supply chain management: a systematic literature review and future research agenda
In the era of digitalisation, the role of Big Data is proliferating, receiving considerable
attention in all sectors and domains. The domain of operations and supply chain …
attention in all sectors and domains. The domain of operations and supply chain …
The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …
people. Accurate flood forecasts and control are essential to lessen these effects and …
[HTML][HTML] Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations
Natural disasters are often unpredictable and therefore there is a need for quick and
effective response to save lives and infrastructure. Hence, this study is aimed at achieving …
effective response to save lives and infrastructure. Hence, this study is aimed at achieving …
Platform operations in the industry 4.0 era: recent advances and the 3As framework
In the Industry 4.0 era, implementing advanced technologies to enhance platform operations
is crucial. Motivated by the importance of platforms and the wide implementation of Industry …
is crucial. Motivated by the importance of platforms and the wide implementation of Industry …
Disruptive technologies for achieving supply chain resilience in COVID-19 era: An implementation case study of satellite imagery and blockchain technologies in fish …
T Sengupta, G Narayanamurthy, R Moser… - Information Systems …, 2022 - Springer
In supply chains where stakeholders belong to the economically disadvantaged segment
and form an important part of the supply chain distribution, the complexities grow manifold …
and form an important part of the supply chain distribution, the complexities grow manifold …
Big data analytics-enabled sensing capability and organizational outcomes: assessing the mediating effects of business analytics culture
S Fosso Wamba, MM Queiroz, L Wu… - Annals of Operations …, 2024 - Springer
With the emergence of information and communication technologies, organizations
worldwide have been putting in meaningful efforts towards developing and gaining business …
worldwide have been putting in meaningful efforts towards developing and gaining business …
Improving the coordination in the humanitarian supply chain: exploring the role of options contract
The uncertainty associated with the location, severity and timing of disaster makes it difficult
for the humanitarian organization (HO) to predict demand for the aid material and thereby …
for the humanitarian organization (HO) to predict demand for the aid material and thereby …
Market expansion and competitive positioning in satellite telecommunications: a review of analytics-driven strategies within the global landscape
Market expansion and competitive positioning are paramount in the dynamic landscape of
satellite telecommunications. This review explores the role of analytics-driven strategies in …
satellite telecommunications. This review explores the role of analytics-driven strategies in …
[HTML][HTML] Social sensing of flood impacts in India: A case study of Kerala 2018
Flooding is a major hazard that is responsible for substantial damage and risks to human
health worldwide. The 2018 flood event in Kerala, India, killed 433 people and displaced …
health worldwide. The 2018 flood event in Kerala, India, killed 433 people and displaced …