Design Structural-Interpretative Model for Effective Challenges in Disaster Management

Document Type : Research Paper

Author

Assistant Professor, Department of Industrial Management, South Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

Large cities in Iran face dangers such as floods and landslides, water and food and community problems. There are challenges in the disaster management cycle which obstacle Proper operation response and readiness to hazards that understanding is very important for managers. The aim of this paper is to design a interpretative-structural model for identifying and analyzing the relationship between effective challenges in disaster management. Research is applied in terms of purpose and in terms of information collection id descriptive- exploratory. TEHRAN crisis management organization managers and university professors the number 15 experts make up the research community who were selected by snowball method. Challenges were identified by documentary study and interviews with experts, and then localized using fuzzy Delphi method. Then, by designing a questionnaire, the effect of the challenges on each other was determined by the experts and the structural-interpretation model was designed. The results of this study showed that disaster management challenges are generally relating to the seven main categories of technological factors, social factors, environmental factors, political factors, legal factors, economical factors, operational / managerial factors, and institutional factors. The results of the ISM model showed that the challenges of "not paying attention to social factors when creating laws" from legal factors and "poor understanding of environmental factors" from environmental factors have the most driving power and are very effective. Therefore, managers should prioritize solving these challenges for planning a disaster management cycle process improvement.

Keywords

Main Subjects

References

  1. فهرست منابع و مآخذ

    الف. فارسی

    • مدیری، محمود؛ نصرتی، شهریار و کریمی شیرازی، حامد (1394)، «برنامه ریزی مدیریت بحران در حوزه ی مدیریت شهری و SWOT با رویکرد پدافند غیرعامل با استفاده از روش MCDM»، مدیریت بحران، 7، صص 14-5.
    • نصیبی، مهدی؛ مدیری، محمود؛ نکوئی، محمد علی؛ حسنوی، رضا و مهدی نوری (1394)، «ایجاد مدل تعاملی اطلاعات و فعالیت‏های ذی‏نفعان مدیریت بحران در صنعت با رویکرد مهندسی همزمان، مطالعه‏‏ ی موردی: ایران‏ خودرو»، مدیریت بحران، 4(2)، 36-23.

     

    ب- انگلیسی

    1. Ahuja, R., Sawhney, R., & Arif, M. (2017). Prioritizing BIM Capabilities of an Organization: An Interpretive Structural Modeling Analysis. Procedia Engineering, 196, 2-10.
    2. Al-Dahash, H., Kulatunga, U., & Thayaparan, M. (2018). Weaknesses during the disaster response management resulting from war operations and terrorism in Iraq. International Journal of Disaster Risk Reduction. doi:10.1016/j.ijdrr.2018.12.003 
    3. Avinash, A., Sasikumar, P., & Murugesan, A. (2018). Understanding the interaction among the barriers of biodiesel production from waste cooking oil in India- An interpretive structural modeling approach, Renewable Energy, 127, 678-684.
    4. Clerveaux, V., Spence, B., & Katada, T. (2010). Promoting disaster awareness in multicultural societies: the DAG approach, Disaster Prevention and Management, 19 (2), 199-218.
    5. Cook, A. D. B., Sagar, V. CH., Nair, T., & Ne Foo, Y. (2018). Integrating disaster governance in Timor-Leste: Opportunities and challenges. International Journal of Disaster Risk Reduction, doi.org/10.1016/j.ijdrr.2018.12.013.
    6. Djimesah, I. E., Okine, A. N. D., & Kissi Mireku, K. (2018). Influential factors in creating warning systems towards flood disaster management in Ghana: An analysis of 2007 Northern flood. International Journal of Disaster Risk Reduction, 28, 318–326.
    7. Gupta, A., & Walton, R.  (2017). Assessment of air cargo airlines: An interpretive structural modeling approach. Procedia Manufacturing, 11, 1908–1915.
    8. Harte, W., Sowman, M., Hastings, P., & Childs, I. (2015). Barriers to risk reduction: Dontse Yakhe, South Africa. Disaster Prevention and Management: An International Journal, 24(5), 651–669.
    9. Hermansson, H. (2018). Challenges to Decentralization of Disaster Management in Turkey: The Role of Political-Administrative Context. International Journal of Public Administration, 1–15.
    10. Hilton, T., Montgomery, S., Herring, P., Gamboa-Maldonado, T., et al.. (2015). Perceived Attitudes and Staff Roles of Disaster Management at CBOCs. Federal practitioner : for the health care professionals of the VA, DoD, and PHS,  32 (8).1- 12.
    11. Kaklauskas, A., Amaratunga, D. & Haigh, R. (2009). Knowledge model for post-disaster management. International Journal of Strategic Property Management, 13(2), 117–128.
    12. Kapucu, N., & Garayev, V. (2011). Collaborative Decision-Making in Emergency and Disaster Management. International Journal of Public Administration, 34(6), 366–375.
    13. Kasdan, D. O. (2016). Considering socio-cultural factors of disaster risk management. Disaster Prevention and Management: An International Journal, 25(4), 464–477.
    14. Koria, M. (2009). Managing for innovation in large and complex recovery programmes: tsunami lessons from Sri Lanka. International Journal of Project Management, 27, 123-130.
    15. Kumar A, & Dixit G. (2018). An analysis of barriers affecting the implementation of e-waste management practices in India: A novel ISM-DEMATEL approach. Sustainable Production and Consumption,14, 36-52.
    16. Kusumasari, B., Alam, Q., & Siddiqui, K. (2010). Resource capability for local government in managing disaster. Disaster Prevention and Management: An International Journal, 19(4), 438–451.
    17. Lee, A. C. K. (2016). Barriers to evidence-based disaster management in Nepal: a qualitative study. Public Health, 133, 99–106.
    18. Levy, J. K., Gopalakrishnan, CH., & Lin, ZH. (2005) Advances in Decision Support Systems for Flood Disaster Management: Challenges and Opportunities. Water Resources Development, 21(4), 593-612.
    19. Li, Y., Hu, Y., Zhang, X., Deng, Y. & Mahadevan, S. (2014). An evidential DEMATEL method to identify critical success factors in emergency management. Applied Soft Computing, 22, 504–510. 
    20. Lin Moe, T., & Pathranarakul, P. (2006). An integrated approach to natural disaster management. Disaster Prevention and Management: An International Journal, 15(3), 396–413.
    21. Miglani, N., Saha, R., & Parihar, R.S. (2017). Interpretive Structural Modelling of NAAC Criteria. International Journal of Engineering Technology Science and Research, 4(6), 258-267.
    22. Moe, T.L., Gehbauer, F., Sentz, S. & Mueller, M. (2007). Balanced scorecard for natural disaster management projects. Disaster Prevention and Management, 16 (5), 785-806.
    23. Najafi, M., Ardalan, A., Akbarisari, A., Noorbala, A.A, & Elmi H. (2017).The Theory of Planned Behavior and Disaster Preparedness. PLOS Currents Disasters. Edition 1. doi: 10.1371/currents.dis.4da18e0f1479bf6c0a94b29e0dbf4a72.
    24. Ogie, R. I., Clarke, R. J., Forehead, H., & Perez, P. (2019). Crowdsourced social media data for disaster management: Lessons from the PetaJakarta.org project. Computers, Environment and Urban Systems, 73, 108–117.
    25. Ogie, R., Holderness, T., Dunbar, M., & Turpin, E. (2017). Spatio-topological network analysis of hydrological infrastructure as a decision support tool for flood mitigation in coastal mega-cities. Environment and Planning B: Urban Analytics and City Science, 44(4), 718–739.
    26. Olabode Bamidele Rotimi, J., & Wilkinson, S. (2014). Improving environmental management legislation to facilitate post-disaster reconstruction. International Journal of Disaster Resilience in the Built Environment, 5(1), 23–37.
    27. Oloruntoba, R. (2005). A wave of destruction and the waves of relief: issues. challenges and strategies, Disaster Prevention and Management, 14(4), 506–521.
    28. Pathirage, CH.,  Seneviratne, K., Amaratunga, D. &  Haigh, R. (2012). Managing disaster knowledge: identification of knowledge factors and challenges. International Journal of Disaster Resilience in the Built Environment, 3 (3), 237 – 252.
    29. Pathirage, CH., Seneviratne, K., Amaratunga, D., & Haigh, R. (2014). Knowledge factors and associated challenges for successful disaster knowledge sharing. Global Assessment Report. Research Report. UNISDR.
    30. Paula, A. D., Lukosevicius, A., & Leiras, A. (2017). Organizational Structure for Disaster Management Projects. Conference Paper WIT Transactions on The Built Environment, 173, 33-42.
    31. Picard, M. (2017). Disaster management, risk reduction and international disaster response laws in the Commonwealth. Commonwealth Law Bulletin, 43(3-4), 403–437. 
    32. Seneviratne , K., Baldry, D., & Pathirage, CH.(2010) Disaster knowledge factors in managing disasters successfully. International Journal of Strategic Property Management, 14(4), 376-390.
    33. Siriporananon, S., & Visuthismajarn, P. (2018). Key success factors of disaster management policy: A case study of the Asian cities climate change resilience network in Hat Yai city, Thailand. Kasetsart Journal of Social Sciences, 39(2), 1-8.
    34. Sonak, S., Pangam, P., & Giriyan, A. (2008) Green reconstruction of the tsunami-affected areas in India using the integrated coastal zone management concept. Journal of Environmental Management, 89(1), 14–23.
    35. Thaler, T., Attems, M. S., Bonnefond, M., Clarke, D., Gatien-Tournat, A.,  & et al.(2019). Drivers and barriers of adaptation initiatives – How societal transformation affects natural hazard management and risk mitigation in Europe. Science of The Total Environment, 650, 1073–1082.
    36. Whelchel, A. W., Reguero, B. G., van Wesenbeeck, B., & Renaud, F. G. (2018). Advancing disaster risk reduction through the integration of science, design, and policy into eco-engineering and several global resource management processes. International Journal of Disaster Risk Reduction, 32, 29-41.
    37. Zhong, SH., Clark, M.,  Hou, X. Y., Zang, Y., & FitzGerald, G.  (2014). Progress and challenges of disaster health management in China: a scoping review. Global Health Action, 7(1),1-9.

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