TY - GEN
T1 - Proposing a Framework for Citizen’s Adoption of Public-Sector Open IoT Data (OIoTD) Platform in Disaster Management
AU - Khurshid, Muhammad Mahboob
AU - Zakaria, Nor Hidayati
AU - Rashid, Ammar
AU - Shafique, Muhammad Noman
AU - Khanna, Ashish
AU - Gupta, Deepak
AU - Ahmed, Yunis Ali
N1 - Publisher Copyright:
© 2020, Springer Nature Singapore Pte Ltd.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Big data
KW - Disaster management
KW - Internet of things
KW - Open Internet of things data
KW - Open data
KW - Public sector
KW - Technology adoption
UR - https://www.scopus.com/pages/publications/85076577568
U2 - 10.1007/978-981-15-0324-5_50
DO - 10.1007/978-981-15-0324-5_50
M3 - Conference contribution
AN - SCOPUS:85076577568
SN - 9789811503238
T3 - Advances in Intelligent Systems and Computing
SP - 593
EP - 601
BT - International Conference on Innovative Computing and Communications - Proceedings of ICICC 2019
A2 - Khanna, Ashish
A2 - Gupta, Deepak
A2 - Bhattacharyya, Siddhartha
A2 - Snasel, Vaclav
A2 - Platos, Jan
A2 - Hassanien, Aboul Ella
PB - Springer
T2 - 2nd International Conference on Innovative Computing and Communication, ICICC 2019
Y2 - 21 March 2018 through 22 March 2018
ER -