Prioritizing Factors Affecting the Effectiveness of Crisis Management with Emphasis on the Use of Information Technology: ANP Analysis of Network Process

Document Type : Original Article

Authors

1 Phd student ,Islamic azad university of Zanjan,Zanjan , Iran‎

2 Associate Pr off/Islamic Azad university of Zanjan

Abstract

The present study was conducted using a descriptive-analytical method. The statistical population of this research is experts familiar with the subject, which includes university professors and experts in the field of crisis management. The sample number is 8 experts who were interviewed in this study through a pair of questionnaires and a range of 1 to 9. To check the validity of the measuring instrument or the paired questionnaire, content validity was used and the questionnaire was provided to professors and experts to confirm the accuracy of the criteria and sub-criteria. In purposive sampling of the present study, purposive judgmental sampling has been used, which means that a limited number of people have the appropriate information to answer the research questions. Experts in this study were people who had at least 8 years of experience or research in crisis management. Sampling continued until the theoretical saturation stage. Super Decision software and ANP network analysis process were used to prioritize the criteria. The results showed that SC8 sub-criterion, which is "planning and preparation" and belongs to the telemedicine criterion (C3) with a weight of 0.571, has the most importance among the factors affecting management effectiveness. The crisis is with the emphasis on the use of information technology. It is followed by SC10, which is a monitoring, forecasting and early warning system, with a weight of 0.432. This sub-criterion belongs to the criterion of the role of wireless sensor networks and unmanned aerial vehicles (C4).

Keywords


احمدی ع، منوچهری س. 1399. سنجش وضعیت و تحلیل عوامل مؤثر بر مطلوبیت مدیریت بحران مخاطرات طبیعی در شهرستان قائنات، فصلنامه علمی-پژوهشی برنامه‌ریزی فضایی (جغرافیا)، 10(37/2)، 56-23.
محرابی ن. 1393. نقش کاربردی ابزارهای فن‌آوری ارتباطات و اطلاعات در مدیریت بحران، مجله دانشکده پیراپزشکی ارتش جمهوری اسلامی ایران، 9(15/1)، 53-48.
 
Asadadabi M. R. Chang E. Saberi M. Zhou Z. 2019. Are MCDM methods useful? A critical review of Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP). Cogent Engineering, 6(1), 1-12.
Bartoli G. Fantacci R. Gei F. Marabissi D. & Micciullo L. 2015. A novel emergency management platform for smart public safety. International Journal of Communication Systems, 28(5), 928–943.
Besaleva, L. I. & Weaver, A. C. 2013. Applications of social networks and crowdsourcing for disaster management improvement, in: Social Computing (SocialCom), 2013 International Conference on, IEEE, 213–219.
Bevilacqua M. Ciarapica F. E. & Paciarotti C. 2014. A BPR approach to hydrogeological risk management. Natural Hazards, 71(3), 1995–2012.
Blake D. M. Stevenson J. Wotherspoon L. Ivory V. & Trotter M. 2019. The role of data and information exchanges in transport system disaster recovery: A New Zealand case study. International Journal of Disaster Risk Reduction, 39, 101124.
Chen D. Liu Z. Wang L. Dou M. Chen J. & Li H. 2013. Natural Disaster Monitoring with Wireless Sensor Networks: A Case Study of Data-intensive Applications upon Low-Cost Scalable Systems. Mobile Networks and Applications, 18(5), 651–663.
Dorasamy M. Raman M. & Kaliannan M. 2017. Integrated community emergency management and awareness system: A knowledge management system for disaster support. Technological Forecasting and Social Change, 121, 139–167.
Ejaz W. Ahmed A. Mushtaq A. & Ibnkahla M. 2020. Energy-efficient task scheduling and physiological assessment in disaster management using UAV-assisted networks. Computer Communications, 155, 150–157.
Erdelj M. Natalizio E. Chowdhury K. R. & Akyildiz I. F. 2017. Help from the Sky: Leveraging UAVs for Disaster Management. IEEE Pervasive Computing, 16(1), 24–32.
Erdelj M. Król M. & Natalizio E. 2017. Wireless Sensor Networks and Multi-UAV systems for natural disaster management. Computer Networks, 124, 72–86.
Erman A. Hoesel L. Havinga P. & Wu J. 2008. Enabling mobility in heterogeneous wireless sensor networks cooperating with UAVs for mission-critical management. IEEE Wireless Communications, 15(6), 38–46.
Frigerio S. Schenato L. Bossi G. Cavalli M. Mantovani M. Marcato G. & Pasuto A. 2014. A web-based platform for automatic and continuous landslide monitoring: The Rotolon (Eastern Italian Alps) case study. Computers & Geosciences, 63, 96–105.
Foresti G. L. Farinosi M. & Vernier M. 2015. Situational awareness in smart environments: socio-mobile and sensor data fusion for emergency response to disasters, J. Ambient Intell. Hum. Comput, 6(2), 239–257.
Goncalves A. Silva C. Morreale P. & Bonafde J. 2014. Crowdsourcing for public safety, in: Systems Conference (SysCon), 2014 8th Annual IEEE, IEEE, 50–56.
Hashim K.F. Ishak S.H. Ahmad M. 2015. A study on social media application as a tool to share information during flood disaster, ARPN J. Eng. Appl. Sci. 10(3), 959–967.
Inan D. I. Beydoun G. & Opper S. 2018. Agent-Based Knowledge Analysis Framework in Disaster Management. Information Systems Frontiers, 20(4), 783–802.
Jha A. K. Sawka E. Tiwari B. Dong H. Oh C. C. Ghaemi S. … Jha A. K. 2021. Telemedicine and Community Health Projects in Asia. Dermatologic Clinics, 39(1), 23-32.
Kaur A. & Sood S. K. 2019. Analytical mapping of research on disaster management, types and role of ICT during 2011–2018. Environmental Hazards, 1–20. doi:10.1080/17477891.2019.1567457
Kaewkitipong L. Chen C. C. & Ractham P. 2016. A community-based approach to sharing knowledge before, during, and after crisis events: A case study from Thailand. Computers in Human Behavior, 54, 653–666.
Kotaki A. 2015. Initial responses of the government of Japan to the great east Japan earthquake (earthquake and tsunami) and lessons learned from them, J. Disaster Res. 10(sp), 728–735.
Latifi R. 2010. Telemedicine for trauma, emergencies, and disaster management. Norwood, Massachusetts: Artech Hou</