A intenção de brasileiros e de portugueses de ficar em casa durante a pandemia de COVID-
DOI:
https://doi.org/10.5585/remark.v21i3.19462Palabras clave:
Marketing, Comportamento do Consumidor, Teoria do Comportamento PlanejadoResumen
Objetivo: Analisar a influência de atitudes, normas sociais, controle percebido e boca a boca na intenção de ficar em casa, comparando Brasil e Portugal.
Método: Trata-se de um estudo descritivo transversal, com amostra de 426 brasileiros e 154 portugueses, sendo uma amostra não probabilística por conveniência. Foram utilizadas modelagem de equações estruturais e multigrupos para analisar o modelo.
Originalidade/Relevância: A crise humanitária relacionada ao surto de COVID-19 apresenta desafios sem precedentes, enfrentados diariamente por todos os elementos da comunidade – governos, empresas, organizações em geral e cidadãos. O meio mais eficaz encontrado até agora para reduzir a propagação e o contágio da doença é pedir às pessoas que fiquem em casa e mantenham o distanciamento social. Esta pesquisa usa a teoria do comportamento planejado decomposto para explicar a intenção comportamental como resultado de três variáveis: a atitude de uma pessoa em relação a esse comportamento; normas subjetivas; e a percepção do controle comportamental.
Resultados: O controle percebido é a principal variável que influencia a intenção de ficar em casa, tanto em Portugal como no Brasil. Além do controle percebido, o boca a boca também teve um efeito significativo. Para o Brasil, a atitude também influencia a intenção de ficar em casa e não foi encontrado efeito das normas sociais em nenhum dos países.
Contribuições teórico-metodológicas: Esta pesquisa contribui para a teoria do comportamento planejado – usando sua versão decomposta – ao analisar um estudo multigrupos entre dois países sobre a intenção das pessoas de ficar em casa.
Descargas
Citas
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In: Kuhl J. & Beckmann J. (Ed.s), Action control. Springer, Berlin, 11-39.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Baker, A. M., Donthu, N., & Kumar, V. (2016). Investigating how word-of-mouth conversations about brands influence purchase and retransmission intentions. Journal of Marketing Research, 53(2), 225-239. https://doi.org/10.1509/jmr.14.0099
Barrio, J. M. (2020). Como Portugal mantém o coronavírus mais controlado que países europeus mais ricos. Retrieved from https://brasil.elpais.com/internacional/2020-04-12/como-portugal-mantem-o-coronavirus-mais-controlado-que-paises-europeus-mais-ricos.html.
Baumsteiger, R., & Siegel, J.T. (2019). Measuring prosociality: The development of a prosocial behavioral intentions scale. Journal of personality assessment, 101(3), 305-314. https://doi.org/10.1080/00223891.2017.1411918
Burnkrant, R.E., & Cousineau, A. (1975). Informational and normative social influence in buyer behavior. Journal of Consumer research, 2(3), 206-215. https://doi.org/10.1086/208633
Byrne, B.M. (2013). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Routledge.
Campos, J.A.D.B., Carlotto, M.S., & Marôco, J. (2013). Copenhagen Burnout Inventory-student version: adaptation and transcultural validation for Portugal and Brazil. Psicologia: Reflexão e Crítica, 26(1), 87-97. https://doi.org/10.1590/S0102-79722013000100010
Carfora, V., Cavallo, C., Caso, D., Del Giudice, T., De Devitiis, B., Viscecchia, R., Nardone, G., & Cicia, G. (2019). Explaining consumer purchase behavior for organic milk: Including trust and green self-identity within the theory of planned behavior. Food Quality and Preference, 76, 1-9. https://doi.org/10.1016/j.foodqual.2019.03.006
Carroll, B.A., & Ahuvia, A.C. (2006). Some antecedents and outcomes of brand love. Marketing letters, 17(2), 79-89. https://doi.org/10.1007/s11002-006-4219-2
Chua, A. Y., & Banerjee, S. (2018). Intentions to trust and share online health rumors: An experiment with medical professionals. Computers in Human Behavior, 87, 1-9. https://doi.org/10.1016/j.chb.2018.05.021
Côrtes, P.L., Dias, A.G., Fernandes, M.E.D.S.T., Pamplona, J., & Vieira, M. (2016). Comportamento ambiental: estudo comparativo entre estudantes brasileiros e portugueses. Ambiente & Sociedade, 19(3), 113-134. https://doi.org/10.1590/1809-4422ASOC139099V1932016
Eisenberg, N. (2013). The development of prosocial behavior. Academic Press.
Falanga, R., & Lüchmann, L. H. H. (2020). Participatory budgets in Brazil and Portugal: Comparing patterns of dissemination. Policy Studies, 41(6), 603-622. https://doi.org/10.1080/01442872.2019.1577373
Feldman-Bianco, B. (2001). Brazilians in Portugal, Portuguese in Brazil: constructions of sameness and difference. Identities Global Studies in Culture and Power, 8(4), 607-650. https://doi.org/10.1080/1070289X.2001.9962710
Félix Neto, Conceição-Pinto, M., & Furnham, A. (2012). Sex and culture similarities and differences in long-term partner preferences. Journal of Relationships Research, 3, 57-66. https://doi.org/10.1017/jrr.2012.4
Fielding, K.S., Terry, D.J., Masser, B.M., Bordia, P, & Hogg, M.A. (2005). Explaining landholders' decisions about riparian zone management: The role of behavioural, normative, and control beliefs. Journal of environmental management, 77(1), 12-21. https://doi.org/10.1016/j.jenvman.2005.03.002
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley, Reading, MA.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. https://doi.org/10.2307/3151312
Gabriel, U., & Greve, W. (2003). The psychology of fear of crime. Conceptual and methodological perspectives. British Journal of Criminology, 43(3), 600-614. https://doi.org/10.1093/bjc/43.3.600
Garay, L., Font, X., & Corrons, A. (2019). Sustainability-oriented innovation in tourism: An analysis based on the decomposed theory of planned behavior. Journal of Travel Research, 58(4), 622-636. https://doi.org/10.1177/0047287518771215
Gibson, L. P., Magnan, R. E., Kramer, E. B., & Bryan, A. D. (2021). Theory of Planned Behavior Analysis of Social Distancing During the COVID-19 Pandemic: Focusing on the Intention–Behavior Gap. Annals of Behavioral Medicine, 55(8), 805-812. https://doi.org/10.1093/abm/kaab041
Gondim, S.M.G., Álvaro-Estramiana, J.L., Pereira, C.R., Camino, L., Torres, A.R., Garrido-Luque, A., Techio E.M., Barreiros, J.A., Lorente-Clemares, R., & Alonso-Flores, P.E. (2018). Intergroup emotions, perceived threats and hostility against foreigners: Comparing Brazil, Portugal, and Spain. Trends in Psychology, 26(1), 167-182. https://doi.org/10.9788/TP2018.1-07
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. and Tatham, R.L. (2009). Multivariate data analysis. Pearson.
Haryanto, J.O., Moutinho, L., & Coelho, A. (2016). Is brand loyalty really present in the children's market? A comparative study from Indonesia, Portugal, and Brazil. Journal of Business Research, 69(10), 4020-4032. https://doi.org/10.1016/j.jbusres.2016.06.013
Horng, S.M., Lee, Y.Y., & Wu, C.L. (2016). A study of the paying behavior for subscribing social network sites. Computer Communications, 73(1), 282-290. https://doi.org/10.1016/j.comcom.2015.08.014
Jayanti, R.K., & Burns, A.C. (1998). The antecedents of preventive health care behavior: An empirical study. Journal of the academy of marketing science, 26(1), 6-15. https://doi.org/10.1177/0092070398261002
Kim, Y. J., Njite, D., & Hancer, M. (2013). Anticipated emotion in consumers’ intentions to select eco-friendly restaurants: Augmenting the theory of planned behavior. International Journal of Hospitality Management, 34(9), 255-262. https://doi.org/10.1016/j.ijhm.2013.04.004
Kotler, P. (2011). Reinventing marketing to manage the environmental imperative. Journal of marketing, 75(4), 132-135. https://doi.org/10.1509/jmkg.75.4.132
Lascu, D.N., & Zinkhan, G. (1999). Consumer conformity: review and applications for marketing theory and practice. Journal of Marketing Theory and Practice, 7(3), 1-12. https://doi.org/10.1080/10696679.1999.11501836
Lima, L. (2020). Coronavírus: 5 estratégias de países que estão conseguindo conter o contágio. Retrieved from https://www.bbc.com/portuguese/internacional-51937888.
Mannetti, L., Pierro, A., & Livi, S. (2004). Recycling: Planned and self-expressive behavior. Journal of environmental psychology, 24(2), 227-236. https://doi.org/10.1016/j.jenvp.2004.01.002
Marôco, J. (2010). Análise de equações estruturais: Fundamentos teóricos, software & aplicações, ReportNumber, Lda.
Mishra, A., & Samu, S. (2021). Impact of fake news on social image perceptions and consumers’ behavioral intentions. Journal of Consumer Marketing, 38(6), 601-613. https://doi.org/10.1108/JCM-05-2020-3857
Morren, M., & Grinstein, A. (2021). The cross-cultural challenges of integrating personal norms into the Theory of Planned Behavior: A meta-analytic structural equation modeling (MASEM) approach. Journal of Environmental Psychology, 75, 101593. https://doi.org/10.1016/j.jenvp.2021.101593
Mussen, P., & Eisenberg, N. (1977). Roots of caring, sharing, and helping: The development of pro-social behavior in children. WH Freeman.
Nagaraj, S. (2020). Role of consumer health consciousness, food safety & attitude on organic food purchase in emerging market: A serial mediation model. Journal of Retailing and Consumer Services, 59(3), 1-8. https://doi.org/10.1016/j.jretconser.2020.102423
Our world in data. (2021). Coronavirus (COVID-19) Deaths. Retrieved from https://ourworldindata.org/covid-deaths.
Park, J., Ahn, J., & Yoo, W. S. (2017). The effects of price and health consciousness and satisfaction on the medical tourism experience. Journal of Healthcare Management, 62(6), 405-417. https://doi.org/10.1097/JHM-D-16-00016
Photcharoen, C., Chung, R., & Sann, R. (2020). Modelling Theory of Planned Behavior on Health Concern and Health Knowledge towards Purchase Intention on Organic Products. International Business Research, 13(8), 100-106. https://doi.org/10.5539/ibr.v13n8p100
Prasetyo, Y. T., Castillo, A. M., Salonga, L. J., Sia, J. A., & Seneta, J. A. (2020). Factors affecting perceived effectiveness of COVID-19 prevention measures among Filipinos during enhanced community quarantine in Luzon, Philippines: Integrating Protection Motivation Theory and extended Theory of Planned Behavior. International journal of infectious diseases, 99, 312-323. https://doi.org/10.1016/j.ijid.2020.07.074
Primmer, E., & Karppinen, H. (2010). Professional judgment in non-industrial private forestry: Forester attitudes and social norms influencing biodiversity conservation. Forest Policy and Economics, 12(2), 136-146. https://doi.org/10.1016/j.forpol.2009.09.007
Prothero, A., Dobscha, S., Freund, J., Kilbourne, W. E., Luchs, M. G., Ozanne, L. K., & Thøgersen, J. (2011). Sustainable consumption: Opportunities for consumer research and public policy. Journal of Public Policy & Marketing, 30(1), 31-38. https://doi.org/10.1509/jppm.30.1.31
Pu, B., Zhang, L., Tang, Z., & Qiu, Y. (2020). The relationship between health consciousness and home-based exercise in China during the COVID-19 pandemic. International journal of environmental research and public health, 17(16), 5693. https://doi.org/10.3390/ijerph17165693
Rippé, C. B., Weisfeld-Spolter, S., Yurova, Y., & Kemp, A. (2021). Pandemic Pedagogy for the New Normal: Fostering Perceived Control During COVID-19. Journal of Marketing Education, 43(2), 260-276. https://doi.org/10.1177/0273475320987287
Severo, E. A., De Guimarães, J. C. F., & Dellarmelin, M. L. (2021). Impact of the COVID-19 pandemic on environmental awareness, sustainable consumption and social responsibility: Evidence from generations in Brazil and Portugal. Journal of Cleaner Production, 286, 124947. https://doi.org/10.1016/j.jclepro.2020.124947
Spash, C.L., Urama, K., Burton, R., Kenyon, W., Shannon, P., & Hill, G. (2009). Motives behind willingness to pay for improving biodiversity in a water ecosystem: Economics, ethics and social psychology. Ecological Economics, 68(4), 955-964. https://doi.org/10.1016/j.ecolecon.2006.09.013
Sumaedi, S., Bakti, I. G. M. Y., Rakhmawati, T., Widianti, T., Astrini, N. J., Damayanti, S., Massijaya, M. A., & Jati, R. K. (2020). Factors influencing intention to follow the “stay at home” policy during the COVID-19 pandemic. International Journal of Health Governance, 26(1), 13-27. https://doi.org/10.1108/IJHG-05-2020-0046
Taylor, S., & Todd, P. (1995b). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International journal of research in marketing, 12(2), 137-155. https://doi.org/10.1016/0167-8116(94)00019-K
Taylor, S., & Todd, P.A. (1995a). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176. https://doi.org/10.1287/isre.6.2.144
Toledo, L.F. (2020). Isolamento social caiu em 25 de 27 estados entre março e abril. Retrieved from https://www.cnnbrasil.com.br/nacional/2020/04/24/isolamento-social-caiu-em-25-de-27-estados-entre-marco-e-abril.
Tsai, J.M., Hung, S.W., & Yang, T.T. (2020). In pursuit of goodwill? The cross-level effects of social enterprise consumer behaviours. Journal of Business Research, 109(4), 350-361. https://doi.org/10.1016/j.jbusres.2019.11.051
Turino, F., Filippon, J., Sodré, F., & Siqueira, C. E. (2021). Reinventing Privatization: A Political Economic Analysis of the Social Health Organizations in Brazil. International Journal of Health Services, 51(1), 90-100. https://doi.org/10.1177/0020731420961286
Venkatesh, V., & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
Vitorino, L. M., Sousa, L. M. M., Trzesniak, C., Valentim, O. M. S., Yoshinari Júnior, G. H., José, H. M. G., & Lucchetti, G. (2021). Mental health, quality of life and optimism during the covid-19 pandemic: a comparison between Brazil and Portugal. Quality of Life Research, 1-13. https://doi.org/10.1007/s11136-021-03031-9
Wang, X., Chao, F., Yu, G., & Zhang, K. (2022). Factors influencing fake news rebuttal acceptance during the COVID-19 pandemic and the moderating effect of cognitive ability. Computers in Human Behavior, 130, 1-23. https://doi.org/10.1016/j.chb.2021.107174
Wang, Y., John, D.R., & Griskevicious, V. (2020). Does the devil wear Prada? Luxury product experiences can affect prosocial behavior. International Journal of Research in Marketing, In press. https://doi.org/10.1016/j.ijresmar.2020.04.001
White, K., Habib, R., & Hardisty, D.J. (2019). How to SHIFT consumer behaviors to be more sustainable: A literature review and guiding framework. Journal of Marketing, 83(3), 22-49. https://doi.org/10.1177/0022242919825649
World Health Organization (WHO). (2020). Coronavirus disease (COVID-19) advice for the public. Retrieved from https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public.
Yadav, R., & Pathak, G. S. (2016). Intention to purchase organic food among young consumers: Evidences from a developing nation. Appetite, 96(1), 122-128. https://doi.org/10.1016/j.appet.2015.09.017
Yousafzai, S.Y., Foxall, G.R., & Pallister, J.G. (2010). Explaining internet banking behavior: theory of reasoned action, theory of planned behavior, or technology acceptance model?. Journal of applied social psychology, 40(5), 1172-1202. https://doi.org/10.1111/j.1559-1816.2010.00615.x
Zheng, L., Miao, M., & Gan, Y. (2020). Perceived control buffers the effects of the COVID‐19 pandemic on general health and life satisfaction: The mediating role of psychological distance. Applied Psychology: Health and Well‐Being, 12(4), 1095-1114. https://doi.org/10.1111/aphw.12232
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2022 Revista Brasileira de Marketing
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.