O papel dos valores individuais no comportamento do uso de cupons de desconto
DOI:
https://doi.org/10.5902/1983465942014Palavras-chave:
Discount Coupon. UTAUT2. Behavior. Utility. Loyalty.Resumo
Objetivo – A pesquisa analisou os determinantes (Expectativa de Desempenho, Expectativa de Esforço, Influência Social, Condições Facilitadoras, Motivação Hedônica, Valor e Hábito) da intenção e comportamento de uso de cupons de desconto on-line, por meio da UTAUT2 no contexto brasileiro.
Metodologia – Adotou-se a survey com instrumento adaptado de Yang (2010) e Christino et al. (2019) validado por especialistas. Disponibilizado por meio on-line, o instrumento coletou para análise 309 respostas, analisadas a partir da técnica de modelagem de equações estruturais.
Resultados – Os resultados validaram as relações positivas para Condições Facilitadoras, Desempenho Hedônico, Valor Percebido, Hábito e Expectativa de Desempenho – a de maior coeficiente. A influência da Expectativa de Esforço e daInfluência Social não foram validadas.
Limitações Teóricas/Implicações – Os resultados não podem ser generalizados a todos os indivíduos brasileiros, além de considerar determinantes reconhecidos da literatura internacional. Por isso, são apresentadas sugestões para continuidade e aprofundamento da pesquisa.
Implicações Práticas – Os resultados contribuem a medida que indicam as principais percepções que levam à intenção e ao uso de cupons de desconto, quais sejam o desempenho utilitário e o hábito. Assim, gestores podem desenvolver suas estratégias de vendas considerando tais fatores enquanto a sociedade pode estabelecer estratégias para compras mais sustentáveis.
Originalidade – A pesquisa discute os determinantes da UTAUT2 no contexto brasileiro para explicar a intenção e o comportamento de uso de cupons de desconto, o que agrupados são inéditos na literatura brasileira.
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Referências
Aarts, H., Verplanken, B., & Van Knippenberg, A. (1998). Predicting behavior from actions in the past: Repeated decision making or a matter of habit? Journal of Applied Social Psychology, 28(15), 1355-1374. doi: 10.1111/j.1559-1816.1998.tb01681.x
Agarwal. A., & Dham, S. O. (2020). Consumer’s Perception over the Reliability of Online Coupon Websites. Global Journal of Enterprise Information System, 10(3), 73-79. Retrieved from https://www.gjeis.com/index.php/GJEIS/article/view/252
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
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002
Alvarez, B. A., & Casielles, R. V. (2005). Consumer evaluations of sales promotion: the effect on brand choice. European journal of marketing. 39(1/2), 54-70. doi: https://doi.org/10.1108/03090560510572016
Anauate, P. M., Isabella, G., & Ramos, C. (2020). Promotions in Action: Classifying Promotional Activities under the Perception of Consumers. Revista Brasileira de Marketing, 19(3), 515-539. doi: https://doi.org/10.5585/remark.v19i3.16587
Anderson, K. C., Knight, D. K., Pookulangara, S., & Josiam, B. (2014). Influence of hedonic and utilitarian motivations on retailer loyalty and purchase intention: a facebook perspective. Journal of Retailing and Consumer Services, 21(5), 773–779. https://doi.org/10.1016/j.jretconser.2014.05.007
Andrews, M., Goehring, J., Hui, S., Pancras, J., & Thornswood, L. (2016). Mobile promotions: A framework and research priorities. Journal of Interactive Marketing, 34, 15-24.
Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418–430. https://doi.org/10.1016/j.chb.2015.04.024
Barat, S., Amos, C., Paswan, A., & Holmes, G. (2013). An exploratory investigation into how socioeconomic attributes influence coupons redeeming intentions. Journal of Retailing and Consumer Services, 20(2), 240–247. doi:10.1016/j.jretconser.2013.01.004
Bawa, K., & Shoemaker, R. W. (1987). The coupon-prone consumer: some findings based on purchase behavior across product classes. Journal of marketing, 51(4), 99-110.
Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2005). Comportamento do consumidor. São Paulo: Pioneira Thomson Learning,
Burns Jr, R. W. (1978). Library Use as a Performance Measure: Its Background and Rationale. Journal of Academic Librarianship, 4(1), 4-11.
Cetic (2020). TIC Domicílios. Disponível em: https://cetic.br/pesquisa/domicilios/. Acesso em: 20 dez. 2020.
Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of marketing, 64(4), 65-81.
Chen, H., Phang, C. W., & Zhang, C. (2016). Inviting Strangers to Participate in Collaborative Consumption through Mobile App. International Journal of Human–Computer Interaction, 33(6), 523–535. doi:10.1080/10447318.2016.1275434
Christino, J. M. M., Silva, T. S., Cardozo, É. A. A., & Lopes, A. G. R. (2019). Adoção de plataformas on-line de hospedagem compartilhada: um estudo do comportamento de uso do Airbnb. Turismo-Visão e Ação, 21(1), 165. http://dx.doi.org/10.14210/rtva.v21n1.p165-185
Dallabona, L. F., de Oliveira, A. F., & Rausch, R. B. (2013). Avanços pessoais e profissionais adquiridos por meio da titulação de mestre em ciências contábeis. Contabilidade Vista & Revista, 24(2), 39-62.
Dwivedi, Y. K., Shareef, M. A., Simintiras, A. C., Lal, B., & Weerakkody, V. (2016). A generalised adoption model for services: A cross-country comparison of mobile health (m-health). Government Information Quarterly, 33(1), 174–187. https://doi.org/10.1016/j.giq.2015.06.003
E-bit (2014). https://revistapegn.globo.com/Noticias/noticia/2015/02/comercio-eletronico-brasileiro-cresce-24-em-2014-afirma-e-bit.html. Acesso em: 15 out. 2019.
Exame (2020). Vendas online no Brasil crescem 47% no 1º semestre, maior alta em 20 anos. Disponível em: https://exame.com/pme/e-commerce-brasil-cresce-47-primeiro-semestre-alta-20-anos/. Acesso em: 15 dez.2020.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude. Intention and Behavior: An Introduction to Theory and Research.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382-388.
Frank, D., & Milković, M. (2018). Evaluation of Electronic Programme Guide Adoption Using UTAUT2 Based Model. Tehnički vjesnik, 25(3), 884-890.
Garcia, Sheila Farias Alves; Gonzalez, Sara; Mauad, Talita. (2010) Análise do comportamento de compra de três segmentos de consumidores nos supermercados. Revista Brasileira de Marketing, 9(1), 17-39.
Gasimov, A., Sutanto, J., Tan, C. H., & Phang, C. W. (2010). Do the means and the source matter? a study on the actual usage of digitally disseminated coupons. AIS Transactions on Human-Computer Interaction, 2(1), 1.
Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101-107.
Gerhard, F., Pedrosa, J., Mota, M., & Freitas, A. (2020). Experiences of consumption process and the experience of happiness. Revista de Administração da UFSM, 13(1), 182-201. doi:https://doi.org/10.5902/1983465928920
Giovanis, A. N., Tomaras, P., & Zondiros, D. (2013). Suppliers’ logistics service quality performance and its effect on retailers’ behavioral intentions. Procedia-Social and Behavioral Sciences, 73, 302-309.
Godoe, P., & Johansen, T. S. (2012). Understanding adoption of new technologies: Technology readiness and technology acceptance as an integrated concept. Journal of European Psychology Students, 3(1), 38. https://doi.org/10.5334/jeps.aq
Gonzalez, E. (2016). Exploring the effect of coupon proneness and redemption efforts on mobile coupon redemption intentions. International Journal of Marketing Studies, 8(6), 1-6.
Gupta, A., & Dogra, N. (2017). Tourist Adoption of Mapping APPS: a UTAUT2 Perspective of Smart Travellers. Tourism and Hospitality Management, 23(2), 145–161. https://doi. org/10.20867/thm.23.2.6
Gupta, A., Dogra, N., & George, B. (2018). What determines tourist adoption of smartphone apps? An analysis based on the UTAUT-2 framework. Journal of Hospitality and Tourism Technology, 9(1), 50-64.
Gutiérrez, H. S. M., & del Salmones, M.G., & Herrero, Á.C. (2016). Influence of country image on country brand equity: Application to higher education services. International Marketing Review.
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
Hamari, J., Sjöklint, M., & Ukkonen, A. (2016). The sharing economy: Why people participate in collaborative consumption. Journal of the association for information science and technology, 67(9), 2047-2059.
Heilman, C. M., Nakamoto, K., & Rao, A. G. (2002). Pleasant surprises: Consumer response to unexpected in-store coupons. Journal of Marketing Research, 39(2), 242-252.
Hew, J.-J., Lee, V.-H., Ooi, K.-B., & Wei, J. (2015). What catalyses mobile apps usage intention: an empirical analysis. Industrial Management & Data Systems, 115(7), 1269–1291. https://doi. org/10.1108/IMDS-01-2015-0028
Hofstede, G. H., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind (Vol. 3). New York: Mcgraw-hill.
Hsu, P. F., Kraemer, K. L., & Dunkle, D. (2006). Determinants of e-business use in US firms. International Journal of Electronic Commerce, 10(4), 9-45.
Huang, C.-Y., & Kao, Y.-S. (2015). UTAUT2 Based Predictions of Factors Influencing the Technology Acceptance of Phablets by DNP. Mathematical Problems in Engineering, 2015, 1–23. https://doi. org/10.1155/2015/603747
IBGE – Instituto Brasileiro de Geografia e Estatística (2019). Disponível em: https://www.ibge.gov.br/ Acesso em: 20 out. 2019.
Ibiapina, I., Cunha, M., Paiva, M., & Romero, C. (2020). Consumer myopia: a cross-cultural study about the attitude and sustainable behavior of university students. Revista de Administração da UFSM, 13(5), 959-976. doi:https://doi.org/10.5902/1983465937665
Jayasingh, S., & Eze, U. C. (2012). Analyzing the Intention to Use Mobile Coupon and the Moderating Effects of Price Consciousness and Gender. International Journal of E-Business Research, 8(1), 54–75. doi:10.4018/jebr.2012010104
Jun, J., Cho, I., & Park, H. (2018). Factors influencing continued use of mobile easy payment service: an empirical investigation. Total Quality Management & Business Excellence, 29(9-10), 1043–1057. doi:10.1080/14783363.2018.1486550
Kadoya, Y., Khan, M. S. R., & Yamane, T. (2020). Government’s Stimulus Program to Boost Consumer Spending: A Case of Discount Shopping Coupon Scheme in Japan. Sustainability, 12(9), 3906.
Kashani, K., & Quelch, J. A. (1990). Can sales promotion go global?. Business Horizons, 33(3), 37-44.
Kumar, V., & Swaminathan, S. (2005). The different faces of coupon elasticity. Journal of Retailing, 81(1), 1-13.
Lankton, N. K. & Wilson, E. V. (2013). Effects of prior use, intention, and habit on it continuance across sporadic use and frequent use conditions.
Leitinho, R. R., & Farias, J. S. (2018). A motivação hedônica no consumo de bens virtuais cosméticos em jogos online. Revista Brasileira de Marketing, 17(1), 65-79.
Limayem, Hirt, & Cheung. (2007). How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance. MIS Quarterly, 31(4), 705. https://doi.org/10.2307/25148817
Liu, F., Zhao, X., Chau, P. Y. K., & Tang, Q. (2015). Roles of perceived value and individual differences in the acceptance of mobile coupon applications. Internet Research, 25(3), 471–495. doi:10.1108/intr-02-2014-0053
Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49(2), 222–234. https://doi.org/10.1016/j.dss.2010.02.008
Macedo, I. M. (2017). Predicting the acceptance and use of information and communication technology by older adults: An empirical examination of the revised UTAUT2. Computers in Human Behavior, 75, 935–948. https://doi.org/10.1016/j.chb.2017.06.013
MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate behavioral research, 39(1), 99-128.
Madan, K., & Yadav, R. (2018). Understanding and predicting antecedents of mobile shopping adoption. Asia Pacific Journal of Marketing and Logistics, 30(1), 139–162. doi:10.1108/apjml-02-2017-0023
Mao, Z., & Lyu, J. (2017). Why travelers use Airbnb again? International Journal of Contemporary Hospitality Management, 29(9), 2464–2482. https://doi.org/10.1108/IJCHM-08-2016-0439
Miles, J. A. (2012). Management and organization theory: A Jossey-Bass reader (Vol. 9). John Wiley & Sons.
Milkman, K. L., & Beshears, J. (2009). Mental accounting and small windfalls: Evidence from an online grocer. Journal of Economic Behavior & Organization, 71(2), 384-394.
Mills, P., & Zamudio, C. (2018). Scanning for discounts: examining the redemption of competing mobile coupons. Journal of the Academy of Marketing Science, 46(5), 964–982. doi:10.1007/s11747-018-0592-7
Mittal, B. (1994). An integrated framework for relating diverse consumer characteristics to supermarket coupon redemption. Journal of Marketing Research, 31(4), 533-544.
Mondo, T. S. & Costa, J. I. P. (2013) A influência da promoção de vendas na captação de clientes: um estudo na hotelaria catarinense. Revista Brasileira de Marketing, São Paulo, 12(2), 87-107.
Ndubisi, N.O., & Moi, C. T. (2005). Customers behaviourial responses to sales promotion: the role of fear of losing face. Asia Pacific Journal of Marketing and Logistics, 17(1), 32–49. doi:10.1108/13555850510672278
Ozturk, A. B., Nusair, K., Okumus, F., & Hua, N. (2016). The role of utilitarian and hedonic values on users’ continued usage intention in a mobile hotel booking environment. International Journal of Hospitality Management, 57, 106–115. https://doi.org/10.1016/j.ijhm.2016.06.007
Pahnila, S., Siponen, M., & Zheng, X. (2011). Integrating habit into UTAUT: The Chinese eBay case. Pacific Asia Journal of the Association for Information Systems, 3(2), 1-18.
Phan, T. N., Ho, T. V., & Le-Hoang, P. V. (2020). Factors Affecting the Behavioral Intention and Behavior of Using E–Wallets of Youth in Vietnam. The Journal of Asian Finance, Economics and Business (JAFEB), 7(10), 295-302.
Prabhakaran, S., Vasantha, D. S., & Sarika, P. (2020). Effect of social influence on intention to use mobile wallet with the mediating effect of promotional benefits. Journal of Xi'an University of Architecture & Technology, 12, 3003-3019.
Ringle, C. M., Wende, S., and Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH, http://www.smartpls.com.
Rodrigues, G., & Martins, T. (2020). Capacidade de Vendas e Desempenho: Papel da Orientação para o Mercado, Capacidades Pessoais e Gerenciais. Revista de Administração Mackenzie, 21(4), 1-30. doi: 10.1590/1678-6971/eRAMR200199
Sallaberry, J. D., Hammes, D., Oliveira, R., & Flach, L. (2019). Benefit and risk perceived as determinants of the use of cryptocurrencies: a Structural Equation Model. Contabilidad y Negocios, prelo, 1-30.
Sampaio, D. D. O., Gosling, M., Fagundes, A. F. A., & Sousa, C. V. (2013). An analysis of the Brazilian academic production about the organic product consumer behavior from 1997 to 2001. REAd. Revista Eletrônica de Administração (Porto Alegre), 19(3), 620-645.
Sheth, J. N., Mittal, B., & Newman, B. I. (1999). Consumer behavior and beyond. NY: Harcourt Brace.
Shimp, T. (2003). Advertising, promotion: Supplemental aspects of Integrated Marketing Communications, South-Western, Mason, (Chapter 1, 4).
Singelis, T. M., & Sharkey, W. F. (1995). Culture, self-construal, and embarrassability. Journal of cross-cultural psychology, 26(6), 622-644.
Souiden, N., Chaouali, W., & Baccouche, M. (2019). Consumers’ attitude and adoption of location-based coupons: The case of the retail fast food sector. Journal of Retailing and Consumer Services, 47, 116-132.
Stone, M. (1974). Cross-Validatory Choice and Assessment of Statistical Predictions, Journal of the Royal Statistical Society, 36(2), 111-147.
Vallerand, R. J. (1997). Toward A Hierarchical Model of Intrinsic and Extrinsic Motivation. Advances in Experimental Social Psychology, 29(1), 271-360. https://doi.org/10.1016/S0065- 2601(08)60019-2
Venkatesh, Morris, Davis, & Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and user of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178. https://doi.org/10.1017/CBO9781107415324.004
Webb, T. L., Sheeran, P., & Luszczynska, A. (2009). Planning to break unwanted habits: Habit strength moderates implementation intention effects on behavior change. British Journal of Social Psychology, 48(3), 507-523.
Wilson, E. V., & Lankton, N. K. (2013). Effects of prior use, intention, and habit on it continuance across sporadic use and frequent use conditions. Communications of the Association for Information Systems, 33(3):33-46. Doi: 10.17705/1CAIS.03303
Wu, R. & Lee, J. (2017). Use Intention of Mobile Fingerprint Payment between UTAUT and DOI in China. Journal of Distribution Science, 15(10), 15–28. https://doi.org/10.15722/JDS.15.10.201710.15
Yang, K. (2010). Determinants of US consumer mobile shopping services adoption: implications for designing mobile shopping services. Journal of Consumer Marketing, 27(3), 262–270. https://doi. org/10.1108/07363761011038338
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31-46.
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