MATEC Web Conf.
Volume 267, 20192018 2nd AASRI International Conference on Intelligent Systems and Control (ISC 2018)
|Number of page(s)||5|
|Section||Computer Science and Information Engineering|
|Published online||11 February 2019|
Impact on the Performance of Search and Rescue Team by Cloud-Based Services: A Case Study of TransAsia Flight GE235
Department of Aviation Services and Management, China University of Science and Technology, Taiwan
2 Institute of Applied Technology, National Taiwan University of Science and Technology, Taiwan
3 School of Finance, Wenzhou Business College, China
a Corresponding author: firstname.lastname@example.org
The purpose of this study is to determine the significant gap between the suitable objective environmental conditions and the real performance outcomes when Taipei fire fighter officers and volunteer fire fighters handled the TransAsia GE235 incident. This study employs the “Unified Theory of Acceptance and Use of Technology (UTAUT)” model to investigate the search and rescue (SAR) team members’ adoption of cloud-based services to improve their SAR performance. This study uses the Partial Least Square (PLS) validation for the research hypotheses. The results show that the Taipei City Fire Department’s SAR team and the Volunteer Fire Fighter team have certain gaps in applying the cloud-based service to improve the incident SAR performance. It is revealed that resources, especially in training/education of the government official team, are significant to performance improvement. Finally, several management implications are presented to improve the SAR operation performance.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.