No lugar certo, na hora certa: revisão e agenda de pesquisa sobre mobile marketing com base em geolocalização
DOI:
https://doi.org/10.5585/remark.v20i2.18713Palavras-chave:
Geolocalização, Marketing com base na localização, Mobile marketing, Varejo, Aquisição de tráfegoResumo
Objetivo: Com base na presença cada vez mais difundida do celular no contexto do varejo, o objetivo da presente pesquisa é examinar os efeitos potenciais do conteúdo da mensagem móvel e dos dados de geolocalização como motivadores de visitas às lojas, conectando os esforços online ao comportamento offline.
Método: Este artigo fornece uma revisão da literatura sobre o que se sabe a respeito dos temas mobile marketing, comunicação baseada em localização e o efeito de notificações push nas atitudes e comportamento dos clientes.
Resultados: Sintetizamos argumentos para notificações push baseadas em localização relacionadas a visitas ao site offline e oferta de cupons, conteúdo personalizado e de alto envolvimento. Com base em várias descobertas de marketing, identificamos um conjunto de proposições.
Contribuições teóricas: Esta revisão pretende contribuir para as teorias de mobile marketing, comportamento do cliente omnicanal e também para a compreensão das promoções baseadas em geolocalização. Ao identificar estratégias que os profissionais de marketing podem empregar para promoções mais eficazes, a presente revisão fornece uma estrutura abrangente para sintetizar as descobertas atuais no marketing baseado em geolocalização e identifica lacunas em nosso conhecimento atual, a fim de estimular o desenvolvimento de pesquisas neste campo.
Implicações gerenciais: A principal suposição que apoia o artigo é a de que o conteúdo e o momento da mensagem (considerando a geolocalização do cliente) aumentam as visitas à loja física. O contexto e a conveniência são apresentados como os principais impulsionadores do efeito (visitas ao ponto de venda físico geradas por notificações móveis), considerando que o contexto e a conveniência são representados pela geolocalização e pelo conteúdo da mensagem. Isso fornece a base para um modelo de estratégias de mobile marketing para que empresas atraiam clientes para locais físicos. A contribuição desta revisão está em iluminar o caminho da ativação mobile na estratégia de cross-channel do varejo.
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Referências
Aguirre, E., Roggeveen, A. L., Grewal, D., & Wetzels, M. (2016). The personalization-privacy paradox: implications for new media. Journal of Consumer Marketing, 33(2), 98–110. https://doi.org/10.1108/JCM-06-2015-1458
Andrade, E. B., Kaltcheva, V., & Weitz, B. (2002). Self-Disclosure on the Web: The Impact of Privacy Policy, Reward, and Company Reputation. Advances in Consumer Research, 29(1), 350–354.
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. https://doi.org/10.1016/j.intmar.2016.03.004
Bakopoulos, V., Baronello, J., & Briggs, R. (2017). How Brands Can Make Smarter Decisions in Mobile Marketing. Journal of Advertising Research, 57(4), 447–461. https://doi.org/10.2501/JAR-2017-052
Barwise, P., & Strong, C. (2002). Permission-Based Mobile Background: the Growth of Mobile. Journal of Interactive Marketing, 16(1), 14–24.
Bauer, H. H., Reichardt, T., Barnes, S. J., & Marcus, M. N. (2005). Driving Consumer Acceptance of Location-Based Services in Mobile Applications: A Theoretical Framework and an Empirical Study. Journal of Electronic Commerce Research, 6(3), 181–192.
Beeck, I., & Toporowski, W. (2017). When location and content matter: effects of mobile messages on intention to redeem. International Journal of Retail & Distribution Management, 45(7/8), 826–843. https://doi.org/10.1108/IJRDM-09-2016-0171
Bellman, S., Potter, R. F., Treleaven-Hassard, S., Robinson, J. A., & Varan, D. (2011). The Effectiveness of Branded Mobile Phone Apps. Journal of Interactive Marketing, 25(4), 191–200. https://doi.org/10.1016/j.intmar.2011.06.001
Bonilla, C. A., Merigó, J. M., & Torres-Abad, C. (2015). Economics in Latin America: a bibliometric analysis. Scientometrics, 105(2), 1239–1252. https://doi.org/10.1007/s11192-015-1747-7
Chaparro-Peláez, J., Agudo-Peregrina, Á. F., & Pascual-Miguel, F. J. (2016). Conjoint analysis of drivers and inhibitors of e-commerce adoption. Journal of Business Research, 69(4), 1277–1282. https://doi.org/10.1016/j.jbusres.2015.10.092
Chiang, I.-P., Lin, C.-Y., & Huang, C.-H. (2018). Measuring The Effects of Online-to-Offline Marketing. Contemporary Management Research, 14(3), 167–190. https://doi.org/10.7903/cmr.18462
Cliquet, G. (2021). From Geomarketing to Spatial Marketing. In S. Colombo (Ed.), Spatial Economics Volume II: Vol. II (pp. 277–305). https://doi.org/10.1007/978-3-030-40094-1_10
Comscore. (2018). Global Digital Future in Focus - 2018 International Edition. Retrieved from https://www.comscore.com/Insights/Presentations-and-Whitepapers/2018/Global-Digital-Future-in-Focus-2018
Daft, R. L., Lengel, R. H., & Trevino, L. K. (1987). Message Equivocality, Media Selection, and Manager Performance: Implications for Information Systems. MIS Quarterly, 11(3), 355. https://doi.org/10.2307/248682
Danaher, P. J., Smith, M. S., Ranasinghe, K., & Danaher, T. S. (2015). Where, When, and how Long: Factors that Influence the Redemption of Mobile Phone Coupons. Journal of Marketing Research, 52(5), 710–725. https://doi.org/10.1509/jmr.13.0341
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
Dholakia, U. M., Kahn, B. E., Reeves, R., Rindfleisch, A., Stewart, D., & Taylor, E. (2010). Consumer Behavior in a Multichannel, Multimedia Retailing Environment. Journal of Interactive Marketing, 24(2), 86–95. https://doi.org/10.1016/j.intmar.2010.02.005
Dubé, J., Fang, Z., Fong, N., & Luo, X. (2017). Competitive Price Targeting with Smartphone Coupons. Marketing Science, 36(6), 944–975. https://doi.org/10.1287/mksc.2017.1042
Eastin, M. S., Brinson, N. H., Doorey, A., & Wilcox, G. (2016). Living in a big data world: Predicting mobile commerce activity through privacy concerns. Computers in Human Behavior, 58, 214–220. https://doi.org/10.1016/j.chb.2015.12.050
eMarketer. (2018). Mobile Trends 2019 10 Predictions for What Marketers Can Expect. Retrieved from https://www.emarketer.com/content/mobile-trends-2019
Faqih, K. M. S., & Jaradat, M. I. R. M. (2015). Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing and Consumer Services, 22, 37–52. https://doi.org/10.1016/j.jretconser.2014.09.006
Fong, N. M., Fang, Z., & Luo, X. (2015). Geo-Conquesting: Competitive Locational Targeting of Mobile Promotions. Journal of Marketing Research, 52(5), 726–735. https://doi.org/10.1509/jmr.14.0229
Fulgoni, G. M., & Lipsman, A. (2016). The future of retail is mobile: How mobile marketing dynamics are shaping the future of retail. Journal of Advertising Research, 56(4), 346–351. https://doi.org/10.2501/JAR-2016-041
Ghose, A., Li, B., & Liu, S. (2015). Digitizing Offline Shopping Behavior Towards Mobile Marketing. International Conference on Information Systems, 1–15.
Ghose, A., Li, B., & Liu, S. (2019). Mobile Targeting Using Customer Trajectory Patterns. Management Science, 65(11), 5027–5049. https://doi.org/10.1287/mnsc.2018.3188
Giovannini, C. J., Ferreira, J. B., Silva, J. F. da, & Ferreira, D. B. (2015). The effects of trust transference, mobile attributes and enjoyment on mobile trust. BAR - Brazilian Administration Review, 12(1), 88–108. https://doi.org/10.1590/1807-7692bar2015140052
Grewal, D., Ahlbom, C.-P., Beitelspacher, L., Noble, S. M., & Nordfält, J. (2018). In-Store Mobile Phone Use and Customer Shopping Behavior: Evidence from the Field. Journal of Marketing, 82(4), 102–126. https://doi.org/10.1509/jm.17.0277
Grewal, D., Bart, Y., Spann, M., & Zubcsek, P. P. (2016). Mobile Advertising: A Framework and Research Agenda. Journal of Interactive Marketing, 34, 3–14. https://doi.org/10.1016/j.intmar.2016.03.003
Groß, M. (2015). Mobile shopping: a classification framework and literature review. International Journal of Retail & Distribution Management, 43(3), 221–241. https://doi.org/10.1108/IJRDM-06-2013-0119
Gupta, A., & Arora, N. (2017). Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory. Journal of Retailing and Consumer Services, 36(December 2016), 1–7. https://doi.org/10.1016/j.jretconser.2016.12.012
Gutierrez, A., O’Leary, S., Rana, N. P., Dwivedi, Y. K., & Calle, T. (2019). Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor. Computers in Human Behavior, 95(September 2018), 295–306. https://doi.org/10.1016/j.chb.2018.09.015
Hofacker, C. F., de Ruyter, K., Lurie, N. H., Manchanda, P., & Donaldson, J. (2016). Gamification and Mobile Marketing Effectiveness. Journal of Interactive Marketing, 34(2016), 25–36. https://doi.org/10.1016/j.intmar.2016.03.001
Högberg, J., Wästlund, E., Aas, T. H., Hjemdahl, K., & Nordgård, D. (2020). Herding the
Hordes: Using Location-Based Services and Mobile Messaging to Affect Visitor Behavior. Journal of Hospitality & Tourism Research, 44(5), 870–878. https://doi.org/10.1177/1096348020912449
Hubert, M., Blut, M., Brock, C., Backhaus, C., & Eberhardt, T. (2017). Acceptance of Smartphone-Based Mobile Shopping: Mobile Benefits, Customer Characteristics, Perceived Risks, and the Impact of Application Context. Psychology & Marketing, 34(2), 175–194. https://doi.org/10.1002/mar.20982
Hui, S. K., Inman, J. J., Huang, Y., & Suher, J. (2013). The Effect of In-Store Travel Distance on Unplanned Spending: Applications to Mobile Promotion Strategies. Journal of Marketing, 77(2), 1–16. https://doi.org/10.1509/jm.11.0436
Ieva, M., Ziliani, C., Gázquez-Abad, J. C., & D’Attoma, I. (2018). Online versus Offline
Promotional Communication. Journal of Advertising Research, 58(3), 338–348. https://doi.org/10.2501/JAR-2017-040
Kim, T., Barasz, K., & John, L. K. (2019). Why Am I Seeing This Ad? The Effect of Ad Transparency on Ad Effectiveness. Journal of Consumer Research, 45(5), 906–932. https://doi.org/10.1093/jcr/ucy039
Klabjan, D., & Pei, J. (2011). In-store one-to-one marketing. Journal of Retailing and Consumer Services, 18(1), 64–73. https://doi.org/10.1016/j.jretconser.2010.09.012
Luo, X., Andrews, M., Fang, Z., & Phang, C. W. (2014). Mobile Targeting. Management Science, 60(7), 1738–1756. https://doi.org/10.1287/mnsc.2013.1836
Maity, M., & Dass, M. (2014). Consumer decision-making across modern and traditional channels: E-commerce, m-commerce, in-store. Decision Support Systems, 61(1), 34–46. https://doi.org/10.1016/j.dss.2014.01.008
Melumad, S., & Pham, M. T. (2020). The Smartphone as a Pacifying Technology. Journal of Consumer Research, 0. https://doi.org/10.1093/jcr/ucaa005
MMA. (2019). Location terminology guide: The language of location. Retrieved from http://www.mmaglobal.com/documents/location-terminology-guide%0A
Molitor, D., Reichhart, P., Spann, M., & Ghose, A. (2015). Measuring the Effectiveness of
Location-Based Pull Advertising: A Randomized Field Experiment. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2645281
Pantano, E., & Gandini, A. (2018). Shopping as a “networked experience”: an emerging framework in the retail industry. International Journal of Retail and Distribution Management, 46(7), 690–704. https://doi.org/10.1108/IJRDM-01-2018-0024
Pantano, E., & Priporas, C.-V. (2016). The effect of mobile retailing on consumers’ purchasing experiences: A dynamic perspective. Computers in Human Behavior, 61, 548–555. https://doi.org/10.1016/j.chb.2016.03.071
Parasuraman, A., & Colby, C. L. (2015). An Updated and Streamlined Technology Readiness Index. Journal of Service Research, 18(1), 59–74. https://doi.org/10.1177/1094670514539730
Patsiotis, A., Atik, M., & Perrea, T. (2020). The influence of m-marketing tools on consumer buying process: evidence from the dining sector. International Journal of Retail & Distribution Management, 48(10), 1037–1056. https://doi.org/10.1108/IJRDM-06-2018-0109
PushCrew. (2018). The State of Web Push Notifications. Retrieved from https://medium.com/the-pushcrew-journal/2018s-most-comprehensive-report-on-push-notification-usage-and-use-cases-dd12a47111b7
Rogers, E. M. (1983). Diffusion of Innovation. New York: The Free Press.
San-Martín, S., Prodanova, J., & López Catalán, B. (2016). What makes services customers say “buy it with a mobile phone”? Journal of Services Marketing, 30(6), 601–614. https://doi.org/10.1108/JSM-02-2015-0081
Scharl, A., Dickinger, A., & Murphy, J. (2005). Diffusion and success factors of mobile marketing. Electronic Commerce Research and Applications, 4(2), 159–173. https://doi.org/10.1016/j.elerap.2004.10.006
Shankar, V., Kleijnen, M., Ramanathan, S., Rizley, R., Holland, S., & Morrissey, S. (2016). Mobile Shopper Marketing: Key Issues, Current Insights, and Future Research Avenues. Journal of Interactive Marketing, 34, 37–48. https://doi.org/10.1016/j.intmar.2016.03.002
Shankar, V., Venkatesh, A., Hofacker, C., & Naik, P. (2010). Mobile marketing in the retailing environment: Current insights and future research avenues. Journal of Interactive Marketing, 24(2), 111–120. https://doi.org/10.1016/j.intmar.2010.02.006
Sohn, S., Seegebarth, B., & Moritz, M. (2017). The Impact of Perceived Visual Complexity of Mobile Online Shops on User’s Satisfaction. Psychology & Marketing, 34(2), 195–214. https://doi.org/10.1002/mar.20983
Statista. (2019). E-commerce share of total global retail sales from 2015 to 2023. Retrieved from https://www.statista.com/statistics/534123/e-commerce-share-of-retail-sales-worldwide
Sultan, F., & Rohm, A. (2005). The coming era of “brand in the hand” marketing. MIT Sloan Management Review, 47(1).
Tang, D., Yang, Y., Yan, Y., & Zhou, M. (2016). What determines online consumers to migrate from PCs to mobile devices? - An empirical approach on consumers’ internet cross-channel behaviours. International Journal of Services Technology and Management, 22(1/2), 46. https://doi.org/10.1504/IJSTM.2016.077656
Tong, S., Luo, X., & Xu, B. (2020). Personalized mobile marketing strategies. Journal of the Academy of Marketing Science, 48(1), 64–78. https://doi.org/10.1007/s11747-019-00693-3
Tsang, M. M., Ho, S.-C., & Liang, T.-P. (2004). Consumer Attitudes Toward Mobile Advertising: An Empirical Study. International Journal of Electronic Commerce, 8(3), 65–78. https://doi.org/10.1080/10864415.2004.11044301
Tseng, F.-C., Cheng, T. C. E., Li, K., & Teng, C.-I. (2017). How does media richness contribute to customer loyalty to mobile instant messaging? Internet Research, 27(3), 520–537. https://doi.org/10.1108/IntR-06-2016-0181
Tseng, F., Cheng, T. C. E., Yu, P.-L., Huang, T.-L., & Teng, C.-I. (2019). Media richness, social presence and loyalty to mobile instant messaging. Industrial Management & Data Systems, 119(6), 1357–1373. https://doi.org/10.1108/IMDS-09-2018-0415
Van der Heijden. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28(4), 695. https://doi.org/10.2307/25148660
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
Verhoef, P. C., Stephen, A. T., Kannan, P. K., Luo, X., Abhishek, V., Andrews, M., … Zhang, Y. (2017). Consumer Connectivity in a Complex, Technology-enabled, and Mobile-oriented World with Smart Products. Journal of Interactive Marketing, 40, 1–8. https://doi.org/10.1016/j.intmar.2017.06.001
Wang, R. J.-H., Malthouse, E. C., & Krishnamurthi, L. (2015). On the Go: How Mobile Shopping Affects Customer Purchase Behavior. Journal of Retailing, 91(2), 217–234. https://doi.org/10.1016/j.jretai.2015.01.002
Xu, H., Teo, H., Tan, B. C. Y., & Agarwal, R. (2009). The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services. Journal of Management Information Systems, 26(3), 135–174. https://doi.org/10.2753/MIS0742-1222260305
Zhang, J., & Mao, E. (2008). Understanding the acceptance of mobile SMS advertising among young Chinese consumers. Psychology and Marketing, 25(8), 787–805. https://doi.org/10.1002/mar.20239
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