Tropical Cyclone Eloise in Mozambique: Application of the Theory of Protection Motivation and Extended Theory of Planned Behavior in the analysis of determining factors in the intention to prepare for the confrontation
DOI:
https://doi.org/10.33448/rsd-v10i15.22592Keywords:
Tropical Cyclone; Protection motivation Theory; Theory of Planned Behavior; Structural equation modeling.Abstract
In this study, the Theories of Protection Motivation and Planned Behavior were integrated, in order to determine the factors that affected the intention of preparing among residents of the Administrative Post of Macate, in central Mozambique, to face the tropical cyclone Eloise. Several factors such as perceived severity, perceived vulnerability, perceived behavioral control, subjective norm, attitude and intention to prepare were analyzed using Structural Equation Modeling-SEM. The results showed that the latent variables attitude, perceived vulnerability, perceived behavioral control and subjective norms had a significant direct effect on the preparation intention. The extended model demonstrated a better fit to data preparedness intention to face the effects of the cyclones.
References
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Alumran, A., Hou, X. Y., Sun, J., Yousef, A. A., & Hurst, C. (2014). Assessing the construct validity and reliability of the parental perception on antibiotics (PAPA) scales. BMC public health, 14(1), 1-9.
Artur, L., & Hilhorst, D. (2012). Everyday realities of climate change adaptation in Mozambique. Global Environmental Change, 22(2), 529–536. http://doi.org/10.1016/j.gloenvcha.2011.11.013
Ash, K. D., & Matyas, C. J. (2012). The influences of ENSO and the subtropical Indian Ocean Dipole on tropical cyclone trajectories in the southwestern Indian Ocean. International Journal of Climatology, 32(1), 41-56.
Ataei, P., Gholamrezai, S., Movahedi, R., & Aliabadi, V. (2021). An analysis of farmers’ intention to use green pesticides: The application of the extended theory of planned behavior and health belief model. Journal of Rural Studies, 81, 374-384.
Becker, J. S., Paton, D., Johnston, D. M., Ronan, K. R., & McClure, J. (2017). The role of prior experience in informing and motivating earthquake preparedness. International journal of disaster risk reduction, 22, 179-193.
Budhathoki, N. K., Paton, D., Lassa, J. A., & Zander, K. K. (2020). Assessing farmers’ preparedness to cope with the impacts of multiple climate change-related hazards in the Terai lowlands of Nepal. International Journal of Disaster Risk Reduction, 49, 101656.
Charrua, A. B., Padmanaban, R., Cabral, P., Bandeira, S., & Romeiras, M. M. (2021). Impacts of the Tropical Cyclone Idai in Mozambique: A Multi-Temporal Landsat Satellite Imagery Analysis. Remote Sensing, 13(2), 201.
Chou, J. S., Yang, K. H., & Ren, T. C. (2015). Ex-post evaluation of preparedness education in disaster prevention, mitigation and response. International Journal of Disaster Risk Reduction, 12, 188-201.
De Coninck, D., d'Haenens, L., & Matthijs, K. (2020). Perceived vulnerability to disease and attitudes towards public health measures: COVID-19 in Flanders, Belgium. Personality and Individual Differences, 166, 110220.
Doyle, E. E., McClure, J., Potter, S. H., Lindell, M. K., Becker, J. S., Fraser, S. A., & Johnston, D. M. (2020). Interpretations of aftershock advice and probabilities after the 2013 Cook Strait earthquakes, Aotearoa New Zealand. International Journal of Disaster Risk Reduction, 49, 101653.
Estrela, C. (2018). Metodologia Científica: Ciência, Ensino, Pesquisa. Editora Artes Médicas.
Fitchett, J. M., & Grab, S. W. (2014). A 66‐year tropical cyclone record for south‐east Africa: temporal trends in a global context. International Journal of Climatology, 34(13), 3604-3615.
Gabriel, E. H., Hoch, M. C., & Cramer, R. J. (2019). Health Belief Model Scale and Theory of Planned Behavior Scale to assess attitudes and perceptions of injury prevention program participation: An exploratory factor analysis. Journal of science and medicine in sport, 22(5), 544-549.
Garcia, T. A., Fairlie, A. M., Litt, D. M., Waldron, K. A., & Lewis, M. A. (2018). Perceived vulnerability moderates the relations between the use of protective behavioral strategies and alcohol use and consequences among high-risk young adults. Addictive behaviors, 81, 150-156.
Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems, 4(1), 7.
Ham, M., Jeger, M., & Frajman Ivković, A. (2015). The role of subjective norms in forming the intention to purchase green food. Economic research-Ekonomska istraživanja, 28(1), 738-748.
Heidenreich, A., Masson, T., & Bamberg, S. (2020). Let's talk about flood risk–Evaluating a series of workshops on private flood protection. International Journal of Disaster Risk Reduction, 50, 101880.
Hoffmann, R., & Muttarak, R. (2017). Learn from the past, prepare for the future: Impacts of education and experience on disaster preparedness in the Philippines and Thailand. World Development, 96, 32-51.
Hoque, M.-A.-A., Phinn, S., Roelfsema, C., & Childs, I. (2018). Assessing tropical cyclone risks using geospatial techniques. Applied Geography, 98(2018), 22–33. https://doi.org/10.1016/j. apgeog.2018.07.004https://cancercontrol.cancer.gov/brp/research/constructs/perceived-severity ( 2020 )
Janmaimool, P. (2017). Application of protection motivation theory to investigate sustainable waste management behaviors. Sustainability, 9(7), 1079.
Kahlor, L. A., Wang, W., Olson, H. C., Li, X., & Markman, A. B. (2019). Public perceptions and information seeking intentions related to seismicity in five Texas communities. International journal of disaster risk reduction, 37, 101147.
Kiraz, A., Canpolat, O., Özkurt, C., & Taşkın, H. (2020). Analysis of the factors affecting the Industry 4.0 tendency with the structural equation model and an application. Computers & Industrial Engineering, 150, 106911.
Koche, J. C. (2011). Fundamentos de metodologia científica. Petrópolis: Vozes. http://www.brunovivas.com/wp-content/uploads/sites/10/2018/07/K%C3%B6che-Jos%C3%A9-Carlos0D0AFundamentos-de-metodologia-cient%C3%ADfica-_-teoria-da0D0Aci%C3%AAncia-e-inicia%C3%A7%C3%A3o-%C3%A0-pesquisa.pdfhttps://repositorio.ufsm.br/bitstream/handle/1/15824/Lic_Computacao_Metodologia-Pesquisa-Cientifica.pdf?sequence=1.
Kolstad, E. W. (2021). Prediction and precursors of Idai and 38 other tropical cyclones and storms in the Mozambique Channel. Quarterly Journal of the Royal Meteorological Society, 147(734), 45-57.
Laato, S., Islam, A. N., & Laine, T. H. (2020). Did location-based games motivate players to socialize during COVID-19?. Telematics and Informatics, 54, 101458.
LaMorte, W. W. (2018). Behavioral change models: The theory of planned behavior. Retrieved November, 7, 2018.
Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer publishing company.
Lin, J., Zhu, R., Li, N., & Becerik-Gerber, B. (2020). How occupants respond to building emergencies: A systematic review of behavioral characteristics and behavioral theories. Safety science, 122, 104540.
Ludke, M. & Andre, M. E. D. A. (2013). Pesquisas em educação: uma abordagem qualitativa. São Paulo: E.P.U.
Manandhar, B. (2016). Remittance and earthquake preparedness. International Journal of Disaster Risk Reduction, 15, 52-60.
McCaughey, J. W., Mundir, I., Daly, P., Mahdi, S., & Patt, A. (2017). Trust and distrust of tsunami vertical evacuation buildings: Extending protection motivation theory to examine choices under social influence. International journal of disaster risk reduction, 24, 462-473.
Miles, A., Aboelmaged, M. (2021). E-waste recycling behaviour: An integration of recycling habits into the theory of planned behaviour. Journal of Cleaner Production, 278, 124182.
Paek, H. J., Hilyard, K., Freimuth, V., Barge, J. K., & Mindlin, M. (2010). Theory-based approaches to understanding public emergency preparedness: implications for effective health and risk communication. Journal of health communication, 15(4), 428-444.
Paul, B. K., & Bhuiyan, R. H. (2010). Urban earthquake hazard: perceived seismic risk and preparedness in Dhaka City, Bangladesh. Disasters, 34(2), 337-359.
Pereira A. S., Shitsuka, D. M., Parreira, FJ. & Shitsuka, R (2018). Metodologia da pesquisa científica. [free e-book]. Santa Maria/RS. Ed. UAB/NTE/UFSM.
Prasetyo, Y. T., Tanto, H., Mariyanto, M., Hanjaya, C., Young, M. N., Persada, S. F., ... & Redi, A. A. N. P. (2021). Factors affecting customer satisfaction and loyalty in online food delivery service during the covid-19 pandemic: Its relation with open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 76.
Quan, L., Zhen, R., Yao, B., Zhou, X., & Yu, D. (2017). The role of perceived severity of disaster, rumination, and trait resilience in the relationship between rainstorm-related experiences and PTSD amongst chinese adolescents following rainstorm disasters. Archives of psychiatric nursing, 31(5), 507-515.
Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change1. The journal of psychology, 91(1), 93-114.
Salih, A. A., Baraibar, M., Mwangi, K. K., & Artan, G. (2020). Climate change and locust outbreak in East Africa. Nature Climate Change, 10(7), 584-585.
Samah, A. A., Zaremohzzabieh, Z., Shaffril, H. A. M., D'Silva, J. L., & Kamarudin, S. (2019). Researching natural disaster preparedness through health behavioral change models. Am J Disaster Med, 14(1), 51-63.
Samah, A. A., Zaremohzzabieh, Z., Shaffril, H. A. M., D'Silva, J. L., & Kamarudin, S. (2019). Researching natural disaster preparedness through health behavioral change models. Am J Disaster Med, 14(1), 51-63.
Savari, M., & Gharechaee, H. (2020). Application of the extended theory of planned behavior to predict Iranian farmers’ intention for safe use of chemical fertilizers. Journal of Cleaner Production, 263, 121512.
Smelser, N. J., & Baltes, P. B. (Eds.). (2001). International encyclopedia of the social & behavioral sciences (Vol. 11). Amsterdam: Elsevier.
Song, Z., & Shi, X. (2020). Cherry growers’ perceived adaption efficacy to climate change and meteorological hazards in northwest China. International Journal of Disaster Risk Reduction, 46, 101620.
Song, Z., & Shi, X. (2020). Cherry growers’ perceived adaption efficacy to climate change and meteorological hazards in northwest China. International Journal of Disaster Risk Reduction, 46, 101620.
Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual differences, 42(5), 893-898.
Ullman, J. B., & Bentler, P. M. (2012). Structural equation modeling. Handbook of Psychology, Second Edition, 2.
Vinnell, L. J., Wallis, A., Becker, J. S., & Johnston, D. M. (2020). Evaluating the ShakeOut drill in Aotearoa/New Zealand: effects on knowledge, attitudes, and behaviour. International Journal of Disaster Risk Reduction, 48, 101721.
Wang, X., Yuen, K. F., Shi, W., & Ma, F. (2020). The determinants of passengers' safety behaviour on public transport. Journal of Transport & Health, 18, 100905.
Warren, M. (2019). Why Cyclone Idai is one of the Southern Hemisphere's most devastating storms. Nature.
Wu, D. (2020). Empirical study of knowledge withholding in cyberspace: Integrating protection motivation theory and theory of reasoned behavior. Computers in Human Behavior, 105, 106229.
Wu, D. (2020). Empirical study of knowledge withholding in cyberspace: Integrating protection motivation theory and theory of reasoned behavior. Computers in Human Behavior, 105, 106229.
Yang, F., Tan, J., & Peng, L. (2020). The effect of risk perception on the willingness to purchase hazard insurance—A case study in the Three Gorges Reservoir region, China. International Journal of Disaster Risk Reduction, 45, 101379.
Yeung, R. M., & Morris, J. (2001). Food safety risk: Consumer perception and purchase behaviour. British food journal.
Yeung, R. M., & Morris, J. (2001). Food safety risk: Consumer perception and purchase behaviour. British food journal.
Yin, R. K. (2015). O estudo de caso. Bookman.
Zhao, Y., Ni, Q., & Zhou, R. (2018). What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age. International Journal of Information Management, 43, 342-350.
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Copyright (c) 2021 Nelson Mário Banga; Calisto Manuel Máquina; Elisa da Conceição José Maria; Eufrásio João Sozinho Nhongo; Elias Welengane
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