Abstract
Disaster management revolves around preparing, mitigating, responding, and recovering from a sudden disruption that has catastrophic effects on human lives, economy, and infrastructure. Data of Internet-connected things (termed as Internet of things) openly available in big quantities digitally by the government leverages data-driven innovations and efficient decision-making in disaster management. However, research on exploring the predictors affecting the usability and benefits of such platforms (i.e., Open IoT Data (OIoTD) platform) from the perspective of individual unit of adoption is currently lacking. Therefore, lack of research on predictors affecting the adoption of OIoTD platform from the citizen’s perspective stimulated us to conduct this research. A better understanding of these predictors can help policy-makers to determine the policy instrument to increase adoption of OIoTD platform for a wider community. In order to evaluate its adoption from citizen’s perspective in disaster management scenario, a framework has been proposed in this study.
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Khurshid, M.M. et al. (2020). Proposing a Framework for Citizen’s Adoption of Public-Sector Open IoT Data (OIoTD) Platform in Disaster Management. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_50
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DOI: https://doi.org/10.1007/978-981-15-0324-5_50
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