Bateu a fome: em qual aplicativo pedir? uma proposta de análise utilizando o método Analytic Hierarchy Process (AHP)
DOI:
https://doi.org/10.5585/iptec.v10i2.22737Palavras-chave:
M-commerce, Aplicativo de entrega de comida, Percepção de valor, Consumidor, Análise multicritério.Resumo
O presente estudo tecnológico visa analisar a escolha de aplicativo de entrega de comida favorito mediante aplicação da análise multicritério de apoio à decisão, considerando os critérios de conveniência, variedade, confiabilidade, usabilidade e customização. A pesquisa tem abordagem mista, com estudo de caso do segmento de entrega de comida no Brasil, seguida de cálculo utilizando análise multicritério dentro do método AHP (Analytic Hierarchy Process). A aplicação do método demonstra sua utilidade como ferramenta para o consumidor escolher o aplicativo de entrega favorito na realização do pedido de compra, evidenciando a preferência pelo aplicativo que tem como prioridade a confiabilidade e, como menos prioritária, a usabilidade. É recomendada a aplicação aos provedores de serviço de entrega de comida por aplicativo e restaurantes que operam em m-commerce, por sua contribuição no entendimento da percepção de valor do usuário em relação ao uso do aplicativo, bem como seu posicionamento mediante a concorrência. A pesquisa estende a teoria em m-commerce, especificamente no que diz respeito ao contexto de aplicativos que ofertam serviços de entrega de comida e percepção de valor do consumidor. O estudo oferece um guia para tomada de decisão que apoia empresas e consumidores, elevando os critérios de percepção de valor e, em específico, a confiabilidade.
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Referências
Ahn, J., & Kwon, J. (2021). Examining the relative influence of multidimensional customer service relationships in the food delivery application context, International Journal of Contemporary Hospitality Management, 33(3), 912-928. http://www.doi.org/10.1108/IJCHM-09-2020-0973.
Ahn, J. A, & Seo, S. (2018). Consumer responses to interactive restaurant self-service technology (IRSST): The role of gadget-loving propensity. International Journal of Hospitality Management, 74, 109-121. http://www.doi.org/10.1016/j.ijhm.2018.02.020.
Bahn, S., Lee, C., Jo, J. H., Suh, W. Y., Song, J., & Yun, M. H. (2007). Incorporating user acceptance into usability evaluation scheme for the user interface of mobile services. Anais do IEEE International Conference on Industrial Engineering and Engineering Management (pp. 492-496), Singapore.
Bernini, A. C. de O., Gomes, T. C., & Servare, M. W. J.,Jr. (2022). Ferramenta de apoio à tomada de decisão: AHP para compra de um software de gestão empresarial. Brazilian Journal of Production Engineering, 8(2), 126-144. http://www.doi.org/10.47456/bjpe.v8i2.37246.
Borba, E. H., & Tezza, R. (2021). Análise da percepção de usuários sobre o comércio eletrônico móvel de artigos de moda, Revista Alcance, 28(2), 197-211. http://www.doi.org/10.14210/alcance.v28n2(mai/ago).p197-211.
Cervo, A. L., Bervian, P. A., & Da Silva, R. (2007). Metodologia científica. São Paulo: Pearson Prentice Hall.
Chakraborty, D., Kayal, G., Mehta, P., Nunkoo, R., & Rana, N. P. (2022). Consumers’ usage of food delivery app: a theory of consumption values, Journal of Hospitality Marketing & Management, 31(5), 601-619. http://www.doi.org/10.1080/19368623.2022.2024476.
Chan, F. T. S., & Chong, A. Y. L. (2013). Analysis of the determinants of consumers' m-commerce usage activities. Online Information Review, 37(3), 443-461. http://www.doi.org/10.1108/OIR-01-2012-0012.
Cho, M., Bonn, M. A., & Li, J. J. (2019). Differences in perceptions about food delivery apps between single-person and multi-person households. International Journal of Hospitality Management, 77, 108-116. http://www.doi.org/ https://doi.org/10.1016/j.ijhm.2018.06.019.
Chuang, C. (2020). A current travel model: smart tour on mobile guide application services, Current Issues in Tourism, 23(18), 2333-2352. http://www.doi.org/10.1080/13683500.2019.1631266.
De Luca, A. (2021). Clubes de assinatura movimentaram 1 bilhão de reais em 2020. CNN Brasil, São Paulo, 2021. Recuperado em 21/07/2022 de https://www.cnnbrasil.com.br/business/clubes-de-assinatura-movimentaram-1-bilhaode-reais-em-2020/.
Facchin, T., & Benedetti, M. H. (2019). Método de Apoio à Decisão para Adoção de uma Nova Tecnologia de Distribuição de Conteúdo para a Indústria de Mídia e Difusão. Revista Inovação, Projetos e Tecnologias - IPTEC, 7(2), 181-201. http://www.doi.org/10.5585/iptec.v7i2.16135
Forbes (2021). Open delivery: mais tecnologia e concorrência. Forbes Brasil, 2021. Recuperado em 26/07/2022 de https://forbes.com.br/forbes-tech/2021/11/open-delivery-mais-tecnologia-e-concorrencia/.
Goepel, K. D. (2018). Implementation of an online software tool for the analytic hierarchy process (AHP-OS). International Journal of the Analytic Hierarchy Process, 10(3), 1-16.
Gomes, L. F. A. M., Gonzalez, M. C. A., & Carignano, C. (2004). Tomada de decisões em cenários complexos: introdução aos métodos discretos do apoio multicritério à decisão. Thomson.
Goode, M.H., & Harris, L. C. (2007). Online behavioural intentions: an empirical investigation of antecedents and moderators. European Journal of Marketing, 41(5), 512-536. http://www.doi.org/10.1108/03090560710737589.
Gray, D. E. (2014). Pesquisa no mundo real. Penso Editora.
Hsu, C., & Yeh, C. (2018). Understanding the critical factors for successful M-commerce adoption. International Journal of Mobile Communications, 16(1), 50-62. https://doi.org/10.1504/IJMC.2018.088272.
Hur, H. J., Lee, H. K., & Choo, H. J. (2017). Understanding usage intention in innovative mobile app service: comparison between millennial and mature consumers, Computers in Human Behavior, 73, 353-361. https://doi.org/10.1016/j.chb.2017.03.051
IBEST. (2022). Conheça os vencedores nas categorias do Prêmio iBest 2021. Rio de Janeiro: Prêmio iBest, 2022. Recuperado em 20/06/2022 de https://app.premioibest.com/resultados/2021.
IBGE. (2022). CNAE, 2022 Recuperado em 20/06/2022 de https://cnae.ibge.gov.br.
Jiao, J. X., Ma, Q. H., & Tseng, M. M. (2003). Towards high value-added products and services: mass customization and beyond. Technovation, 23(10), 809-821.
Katta, R. M. R., & Patro, C. S. (2020). Consumers’ perceived value in internet shopping: An empirical study. International Journal of Customer Relationship Marketing and Management, 11(2),17-36. http://www.doi.org/10.4018/IJCRMM.2020040102.
Kaur, P., Dhir, S., Talwar, A, & Ghuman, K. (2021). The value proposition of food delivery apps from the perspective of theory of consumption value, Int. J. Contemp. Hospit. Manag., 33(4), 1129-1159. http://www.doi.org/10.1108/IJCHM-05-2020-0477.
Khan, H., Talib, F., & Faisal, M. N. (2015). An analysis of the barriers to the proliferation of M-commerce in Qatar: A relationship modeling approach. Journal of Systems and Information Technology, 17(1), 54-81. https://doi.org/10.1108/JSIT-12-2014-0073.
Kim, Y. (2011). A study in effect of mobile properties, IT properties and involvement on satisfaction of smartphone application: Focused on fashion application. The e-Business Studies, 12(2), 49-77. http://www.doi.org/10.5805/KSCI.2012.14.6.941.
Koller, S. H., De Paula Couto, M. C. P., & Von Hohendorff, J. (2014). Manual de produção científica. Penso Editora.
Konradt, U., Hartmut, W., Balazs, B., & Christophersen, T. (2003). Usability in online shops: scale construction, validation and the influence on the buyers’ intention and decision. Behaviour & Information Technology, 22(3), 165-174. http://www.doi.org/10.1080/0144929031000107072.
Kwon, O. B., & Sadeh, N. (2004). Applying case-based reasoning and multi-agent intelligent system to context-aware comparative shopping. Decision Support Systems, 37, 199-213. http://www.doi.org/10.1016/S0167-9236(03)00007-1.
Lan, H., Yanan, L. and Shuhua, W. (2016). Improvement of online food delivery service based on consumers’ negative comments, Canadian Social Science, 12(5), 84-88. http://www.doi.org/10.3968/8464.
Lee, S. A. (2018). M-servicescape: Effects of the hotel mobile app servicescape preferences on customer response. Journal of Hospitality and Tourism Technology, 9(2), 172–187. http://www.doi.org/10.1108/JHTT-08-2017-0066.
Lee, W. K. (2020). Ghost kitchens: reasons to adopt this type of food delivery model. Forbes Business Concil, 2020. Recuperado em 21/06/2022 de https://www.forbes.com/sites/forbesbusinesscouncil/2020/12/11/ghost-kitchens-reasons-to-adopt-this-type-of-food-delivery-model/?sh=43bde6ca5e54.
Leite, I. M. S., & Freitas, F. F. T. (2012). Análise comparativa dos Métodos de apoio multicritério a decisão: AHP, Electre e Promethee. Anais do 32º Encontro Nacional de Engenharia e Produção. Bento Gonçalves, RS, Brasil.
Li, C., Mirosa, M., & Bremer, P. (2020). Review of Online Food Delivery Platforms and their Impacts on Sustainability. Sustainability 12(14), 5528. http://www.doi.org/10.3390/su12145528.
Liébana-Cabanillas, F., Marinkovic, V., & Kalinic, Z. (2017). A SEM-neural network approach for predicting antecedents of m-commerce acceptance. International Journal of Information Management, 37, 14–24. http://www,doi.org/10.1016/j.ijinfomgt.2016.10.008
Liu, W., Batra, R., & Wang, H. (2017). Product touch and consumers’ online and offline buying: the role of mental representation, Journal of Retailing, 93(3), 369-381. https://doi.org/10.1016/j.jretai.2017.06.003.
Lynch, J. G., & Ariely, D. (2000). Wine online: Search costs affect competition on price, quality, and distribution. Marketing science, 19(1), 83-103. https://doi.org/10.1287/mksc.19.1.83.15183.
Machado, T. P. S. O., Ensslin, L., & Ensslin, S. R. (2015). Desenvolvimento de produtos usando a abordagem MCDA-C, Production, 25(3), 542-559. http://www.doi.org/10.1590/0103-6513.625AO.
Nejati, M., & Moghaddam, P. P. (2013). The effect of hedonic and utilitarian values on satisfaction and behavioural intentions for dining in fast-casual restaurants in Iran. British Food Journal, 115(11), 1583-1596. http://www.doi.org/10.1108/BFJ-10-2011-0257.
Nielsen, J., & Budiu, R. (2014). Usabilidade móvel. Rio de Janeiro: Elsevier.
Nilashi, M., Jannach, D., Ibrahima, O., Ithnin, N., (2015). Clustering-and regression-based multi-criteria collaborative filtering with incremental updates. Information Sciences, 293, 235-250.
Ofori, K.S., Boakye, K. and Narteh, B. (2018). Factors influencing consumer loyalty towards 3G mobile data service providers: evidence from Ghana, Total Quality Management & Business Excellence, 29(5), 580-598. https://doi.org/10.1080/14783363.2016.1219654.
Pizoni, R., & Paladini, E. P. (2018). Economia Compartilhada: gestão da qualidade aplicado a uma empresa do ramo de delivery de comida, Pretexto, 19(2), 66-75. https://doi.org/10.21714/pretexto.v19i2.5299.
Qu, Y., Rong, W., Chen, H., Ouyang, Y., & Xiong, Z. (2018). Influencing Factors Analysis for a Social Network Web Based Payment Service in China. Journal of theoretical and applied electronic commerce research, 13(3), 99-113. http://www.doi.org/10.4067/S0718-18762018000300106.
Rachad, T., & Idri, A. (2020). Intelligent Mobile Applications: A Systematic Mapping Study. Mobile Information Systems, 2020, 1-17. https://doi.org/10.1155/2020/6715363.
Rezaei, S., Shahijan, M. K., Amin, M., & Ismail, W. K. W. (2016). Determinants of App Stores Continuance Behavior: A PLS Path Modelling Approach, Journal of International Commerce, 15(4), 408-440. https://doi.org/10.1080/15332861.2016.1256749.
Saad, A.T. (2021). Factors affecting online food delivery service in Bangladesh: an empirical study, British Food Journal, 123(2), 535-550. https://doi.org/10.1108/BFJ-05-2020-0449.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process, International Journal of Services Sciences, 1(1), 83-98.
Sarkar, S., Chauhan, S., & Khare, A. (2020). A meta-analysis of antecedents and consequences of trust in mobile commerce. International Journal of Information Management, 50, 286-301. https://doi.org/10.1016/j.ijinfomgt.2019.08.008.
Schneider, W. A., & Tezza, R. (2021). Online shopping: antecedents of attitude, intention, and use. Journal of Management Science & Engineering Research, 3, 11-25. http://www.doi.org/10.30564/jmser.v3i2.2613.
Soares, A. C. N., & Lima, M. R. S. (2020). Serviços de delivery alimentício e suas precauções em tempos da pandemia de SARS-COV2 (Covid-19). Brazilian Journal of Health Review, 3(3), 4217-4226. https://doi.org/10.34119/bjhrv3n3-025
Statista. (2022). Mobile retail e-commerce sales worldwide from 2016 to 2021. Recuperado em 25/06/2022 de https://www.statista.com/statistics/806323/mobile-retail-commerce-revenue-worldwide/#statisticContainer.
Stephens J., Miller, H., & Militello, L. (2020) Food Delivery Apps and the Negative Health Impacts for Americans. Front. Nutr., 7-14. http://www.doi.org/10.3389/fnut.2020.00014
Tandon, A., Kaur, P., Bhatt, Y., Mäntymäki, M., & Dhir, A. (2021). Why do people purchase from food delivery apps? A consumer value perspective, Journal of Retailing and Consumer Services, 63, 1-14. https://doi.org/10.1016/j.jretconser.2021.102667
Valaei, N., Nikhashemi, S.R., Bressolles, G., & Jin, H.H. (2019). A(n) (a)symmetric perspective towards task-technology-performance fit in mobile app industry, Journal of Enterprise Information Management, 32(5), 887-912. https://doi.org/10.1108/JEIM-07-2018-0157.
Verleye, K. (2015). The co-creation experience from the customer perspective: its measurement and determinants. Journal of Service Management, 26(2), 321 – 342. https://doi.org/10.1108/JOSM-09-2014-0254
Wan, X., Wang, T., Zhang, W., & Cao, J. (2017). Perceived value of online customization experience in China: Concept, measurement, and consequences. The Journal of High Technology Management Research, 28(1), 17-28. https://doi.org/10.1016/j.hitech.2017.04.002
Wu, Y.L., & Li, E.Y. (2018). Marketing mix, customer value and customer loyalty in social commerce: A stimulus organism-response perspective. Internet Research, 28(1), 74-104. https://doi.org/10.1108/IntR-08-2016-0250
Yeo, V. C. S., Goh, S., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services, Journal of Retailing and Consumer Services, 35(1), 150-162. https://doi.org/10.1016/j.jretconser.2016.12.013
Yuen, K. F., Wang, X. Q., Ma, F., & Wong, Y. D. (2019). The determinants of customers' intention to use smart lockers for last-mile deliveries. Journal of Retailing and Consumer Services, 49, 316-326. https://doi.org/10.1016/j.jretconser.2019.03.022
Zboja, J.J., Laird, M.D., & Bouchet, A. (2016). The moderating role of consumer entitlement on the relationship of value with customer satisfaction. Journal of Consumer Behaviour, 15(3), 216-224. http://www,doi.org/10.1002/cb.1534.
Zeithaml, V. A., Verleye, K., Hatak, I., Koller, M., & Zauner, A. (2020). Three decades of customer value research: paradigmatic roots and future research avenues. Journal of Service Research, 23(4) 409-432. http://www.doi.org/10.1177/1094670520948134.
Zeithaml, V.A. (1988). Consumer perceptions of price, quality and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22.
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