Volume 10, Issue 9 (September 2023), Pages: 8-17
----------------------------------------------
Original Research Paper
Integrating sustainability impact into disaster resource management: A structural model for the United Arab Emirates
Author(s):
Ali Ahmed Al-Hammadi 1, Wan Hasrulnizzam Wan Mahmood 2, *
Affiliation(s):
1Institut Pengurusan Teknologi and Keusahawan, Universiti Teknikal Malaysia, Melaka, Malaysia
2Fakulti Teknologi Kejuruteraan Mekanikal and Pembuatan, Universiti Teknikal Malaysia, Melaka, Malaysia
Full Text - PDF XML
* Corresponding Author.
Corresponding author's ORCID profile: https://orcid.org/0000-0002-5588-5112
Digital Object Identifier:
https://doi.org/10.21833/ijaas.2023.09.002
Abstract:
This study endeavors to formulate a comprehensive structural model of disaster resources management that incorporates sustainability impact within the context of the United Arab Emirates (UAE). Given the UAE's vulnerability to diverse natural and man-made disasters, there arises a pressing need for effective disaster management strategies that embrace sustainability principles. To address this need, the research employs Partial Least Squares Structural Equation Modeling (PLS-SEM) and involves 152 stakeholders as respondents. The investigation adopts a multi-faceted approach, combining a thorough literature review, insightful case study analysis, and interviews with key stakeholders engaged in disaster management across the UAE. The study successfully identifies crucial factors that contribute to the efficacy of disaster resources management and its sustainability impact, while also recognizing the barriers and challenges that hinder the implementation of such strategies. The resulting structural model serves as a comprehensive framework for the seamless integration of sustainability considerations into disaster resources management within the UAE. Envisioned through a systems thinking approach, the model thoughtfully addresses the interconnectivity of various factors and the potential trade-offs between immediate emergency response and long-term sustainability objectives. The findings of this research contribute significantly to the field of knowledge concerning disaster resources management and sustainability impact, particularly in the unique context of the UAE. Furthermore, the model developed in this study holds practical implications for policymakers and practitioners involved in disaster management in the UAE, offering them a valuable blueprint for formulating effective and sustainable disaster management strategies.
© 2023 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Disaster resources management, Sustainability impact, United Arab Emirates, PLS-SEM, Stakeholder engagement
Article History: Received 12 April 2023, Received in revised form 23 July 2023, Accepted 27 July 2023
Acknowledgment
The authors extend their gratitude to Universiti Teknikal Malaysia Melaka (UTeM) for the financial support. This transdisciplinary research is part of a dissertation that was submitted as partial fulfillment to meet the requirements for the degree of Doctor of Philosophy at Universiti Teknikal Malaysia Melaka (UTeM).
Compliance with ethical standards
Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Citation:
Al-Hammadi AA and Mahmood WHW (2023). Integrating sustainability impact into disaster resource management: A structural model for the United Arab Emirates. International Journal of Advanced and Applied Sciences, 10(9): 8-17
Permanent Link to this page
Figures
Fig. 1 Fig. 2 Fig. 3
Tables
Table 1 Table 2 Table 3 Table 4
----------------------------------------------
References (26)
- Abbas ZW, Ahamed F, Ganesan S, Warren K, and Koshy A (2021). COVID-19 crisis management: Lessons from the United Arab Emirates leaders. Frontiers in Public Health, 9: 724494. https://doi.org/10.3389/fpubh.2021.724494 [Google Scholar] PMid:34778167 PMCid:PMC8585940
- Alhmoudi AA and Aziz Z (2016). Integrated framework for early warning system in UAE. International Journal of Disaster Resilience in the Built Environment, 7(4): 361-373. https://doi.org/10.1108/IJDRBE-08-2015-0040 [Google Scholar]
- Almarzouqi IMZ (2017). An analysis of disaster vulnerability in the United Arab Emirates. Ph.D. Dissertation, University of Northumbria, Newcastle, UK. [Google Scholar]
- Alzaghal MH and Momani NM (2017). Emergency volunteering in Kingdom of Saudi Arabia: Current and future trends. International Journal of Emergency Management, 13(2): 160-168. https://doi.org/10.1504/IJEM.2017.10003682 [Google Scholar]
- Botzen W, Deschenes O, and Sanders M (2019). The economic impacts of natural disasters: A review of models and empirical studies. Review of Environmental Economics and Policy, 13(2): 167-188. https://doi.org/10.1093/reep/rez004 [Google Scholar]
- Engel RJ and Schutt RK (2014). Fundamentals of social work research. Sage Publications, Thousand Oaks, USA. [Google Scholar]
- Fornell C and Larcker DF (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3): 382–388. https://doi.org/10.1177/002224378101800313 [Google Scholar]
- Fugard AJ and Potts HW (2015). Supporting thinking on sample sizes for thematic analyses: A quantitative tool. International Journal of Social Research Methodology, 18(6): 669-684. https://doi.org/10.1080/13645579.2015.1005453 [Google Scholar]
- Ghareb MI (2018). Information technology roles in crisis management: A case study in Kurdistan region government. International Journal of Computer Engineering and Information Technology, 10(5): 71-78. [Google Scholar]
- Greenland S, Senn SJ, Rothman KJ, Carlin JB, Poole C, Goodman SN, and Altman DG (2016). Statistical tests, P values, confidence intervals, and power: A guide to misinterpretations. European Journal of Epidemiology, 31: 337-350. https://doi.org/10.1007/s10654-016-0149-3 [Google Scholar] PMid:27209009 PMCid:PMC4877414
- Hair JF, Hult GTM, Ringle C, and Sarstedt M (2014). A primer on partial least squares structural equation modelling (PLS-SEM). Sage Publications, Thousand Oaks, USA. [Google Scholar]
- Hair JF, Matthews LM, Matthews RL, and Sarstedt M (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2): 107-123. https://doi.org/10.1504/IJMDA.2017.10008574 [Google Scholar]
- Hansson S, Orru K, Siibak A, Bäck A, Krüger M, Gabel F, and Morsut C (2020). Communication-related vulnerability to disasters: A heuristic framework. International Journal of Disaster Risk Reduction, 51: 101931. https://doi.org/10.1016/j.ijdrr.2020.101931 [Google Scholar]
- Hede S (2017). Perceptions of crisis preparedness and motivation: A study among municipal leaders. Safety Science, 95: 83-91. https://doi.org/10.1016/j.ssci.2017.02.010 [Google Scholar]
- Henseler J and Sarstedt M (2013). Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, 28: 565-580. https://doi.org/10.1007/s00180-012-0317-1 [Google Scholar]
- Hepner DL, Arriaga AF, Cooper JB, Goldhaber-Fiebert SN, Gaba DM, Berry WR, and Bader AM (2017). Operating room crisis checklists and emergency manuals. Anesthesiology, 127(2): 384-392. https://doi.org/10.1097/ALN.0000000000001731 [Google Scholar] PMid:28604405
- Igwenagu C (2016). Fundamentals of research methodology and data collection. LAP Lambert Academic Publishing, Sunnyvale, USA. [Google Scholar]
- Kock N (2014). Advanced mediating effects tests, multi-group analyses, and measurement model assessments in PLS-based SEM. International Journal of e-Collaboration, 10(1): 1-13. https://doi.org/10.4018/ijec.2014010101 [Google Scholar]
- Kuipers S, Boin A, Bossong R, and Hegemann H (2015). Building joint crisis management capacity? Comparing civil security systems in 22 European countries. Risk, Hazards and Crisis in Public Policy, 6(1): 1-21. https://doi.org/10.1002/rhc3.12070 [Google Scholar]
- Lowry PB and Gaskin J (2014). Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it. IEEE Transactions on Professional Communication, 57(2): 123-146. https://doi.org/10.1109/TPC.2014.2312452 [Google Scholar]
- Memon MA, Ramayah T, Cheah JH, Ting H, Chuah F, and Cham TH (2021). PLS-SEM statistical programs: A review. Journal of Applied Structural Equation Modeling, 5(1): 1-14. https://doi.org/10.47263/JASEM.5(1)06 [Google Scholar]
- Muths E and Fisher RN (2017). An alternative framework for responding to the amphibian crisis. Oryx, 51(2): 210-213. https://doi.org/10.1017/S0030605315001131 [Google Scholar]
- Sarstedt M, Ringle CM, and Hair JF (2014). PLS-SEM: Looking back and moving forward. Long Range Planning, 47(3): 132-137. https://doi.org/10.1016/j.lrp.2014.02.008 [Google Scholar]
- Schubring S, Lorscheid I, Meyer M, and Ringle CM (2016). The PLS agent: Predictive modeling with PLS-SEM and agent-based simulation. Journal of Business Research, 69(10): 4604-4612. https://doi.org/10.1016/j.jbusres.2016.03.052 [Google Scholar]
- Tasri ES, Karimi K, and Muslim I (2022). The effect of economic variables on natural disasters and the impact of disasters on economic variables. Heliyon, 8(1): e08678. https://doi.org/10.1016/j.heliyon.2021.e08678 [Google Scholar] PMid:35028461 PMCid:PMC8741454
- Wong KKK (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1): 1-32. [Google Scholar]
|