• Abstract

    WHAT REALLY MATTERS? FACTORS INFLUENCING PERCEIVED VALUE ON FOOD DELIVERY APPLICATIONS

    Published date: 11/12/2024

    Purpose – This article intends to analyze the user’s perceived value of food delivery applications (FDAs). The study aims to investigate the dimensions of convenience, usability, trustworthiness, price, and various food choices on user-perceived value in the context of food delivery applications so that the industry can adopt scientifically-founded strategies to increase its reach.

    Design/methodology – A survey was conducted with a sample of 348 users of food delivery applications. A Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis was implemented to analyze the dimensions influencing the user’s perceived value.

    Findings – The results suggested that convenience, trustworthiness, and price positively correlate with the perceived value of food delivery apps. Moreover, it highlights the price dimension by showing a counterintuitive result compared with previous literature. 

    Research limitations -  The characteristics of the sample of participants and the cross-sectional data collection period are limitations of the study. The study focused on the perceived value dimension and did not cover relations with other dimensions of technology’s use.

    Practical implications – Identifying factors that influence the users’ perceived value is essential to developing marketing strategies and expanding technology adoption. Companies may consider it to establish prices, digital marketing content, and sales. Also, the results support product designers' and user experience (UX) researchers' decision-making when prototyping FDAs.

    Originality - The study contributes to conceptualizing the perceived value of FDAs, increasing knowledge of the true nature of consumers’ perceived value in an emerging market context. Moreover, this study covers the theories developed about the use of m-commerce, extending it as a part of consumer behavior and service marketing. 

  • References

    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. https://doi.org/10.1016/j.ijhm.2018.02.020

    Ahn, S. J., & Lee, S. H. (2019). The effect of consumers' perceived value on acceptance of an internet-only bank service. Sustainability, 11(17), 1–9. https://doi.org/10.3390/su11174599

    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

    ANR. (2021). Food in pandemics: Foodservice owners view. Retrieved October 11, 2022, from https://materiais.cndl.org.br/pesquisa-consumo-online-no-brasil

    Aslam, W., Ham, M., & Arif, I. (2021). Technology at the dining table: Linking perceived value, service recovery, and continuous intention to use food delivery applications. Revista Brasileira de Gestão de Negócios, 23, 600–618. https://doi.org/10.7819/rbgn.v23i4.4135

    Azizul, J., Albattat, A., Ahmad, I. S., & Irfan, K. F. (2019). The relationship between food delivery apps attributes towards customer perceived value among young working adults in Shah Alam. International Journal of Scientific & Technology Research, 8(11), 2478–2482.

    Bevan, N., Carter, J., & Harker, S. (2015). ISO 9241-11 revised: What have we learnt about usability since 1998? In International Conference on Human-Computer Interaction (pp. 143–151). Springer, Cham.

    Cai, R., & Leung, X. Y. (2020). Mindset matters in purchasing online food deliveries during the pandemic: The application of construal level and regulatory focus theories. International Journal of Hospitality Management, 91. https://doi.org/10.1016/j.ijhm.2020.102677

    Chen, Y., & Chi, T. (2021). How does channel integration affect consumers’ selection of omni-channel shopping methods? An empirical study of US consumers. Sustainability, 13(16), 8983.

    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. https://doi.org/10.1016/j.ijhm.2018.06.019

    Cho, M., Bonn, M. A., Moon, S., & Chang, H. S. (2020). Home chef meal kits: Product attributes, perceived value and repurchasing intentions the moderating effects of household configuration. Journal of Hospitality and Tourism Management, 45, 192–202.

    Christodoulides, G., & Michaelidou, N. (2010). Shopping motives as antecedents of e-satisfaction and e-loyalty. Journal of Marketing Management, 27(1–2), 181–197. https://doi.org/10.1080/0267257X.2010.489815

    Cohen, J. (1992). Quantitative methods in psychology: A power primer. Psychol. Bull., 112, 1155-1159.

    Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).

    Borba, E. H., & Tezza, R. (2021). Analysis of users’ perceptions on mobile electronic commerce of fashion. Revista Alcance, 28(2), 197–211. https://doi.org/10.14210/alcance.v28n2(mai/ago).p197-211

    Fisher, R., & Chu, S. Z. (2009). Initial online trust formation: The role of company location and web assurance. Managerial Auditing Journal, 24, 542–563. https://doi.org/10.1108/02686900910966521

    Galante, S. (2021). Food service: O novo universo do delivery. Revista Bares & Restaurantes. Retrieved October 11, 2022, from https://abrasel.com.br/revista/artigos-de-opiniao/simone-galante-food-service-o-novo-universo-do-delivery-e-do-consumo-negocios-fora-do-salao/

    Handayani, P. W., Azzizah, S. F., & Annisa, A. (2022). The impact of user emotions on intentions to continue using online food delivery applications: the influence of application quality attributes. Cogent Business & Management, 9(1), 2133797.

    Hirschberg, C., Rajko, A., Schumacher, T., & Wrulich, M. (2016). The changing market for food delivery. McKinsey & Company. Retrieved August 8, 2022, from https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-changing-market-for-food-delivery

    Hsu, C., & Lin, J. C. (2018). Exploring factors affecting the adoption of internet of things services. Journal of Computer Information Systems, 58(1), 49–57. https://doi.org/10.1080/08874417.2016.1186524

    Huang, S. L., & Chang, Y. C. (2019). Cross-border e-commerce: Consumers’ intention to shop on foreign websites. Internet Research, 29(6), 1256–1279. https://doi.org/10.1108/INTR-11-2017-0428

    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.

    Ibest. (2022). Conheça os vencedores nas categorias do Prêmio iBest 2021. Retrieved August 12, 2022, from https://app.premioibest.com/resultados/2021

    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. https://doi.org/10.4018/IJCRMM.2020040102

    Khasawneh, M. H. A., & Haddad, N. (2020). Analysis of the effects of ease of use, enjoyment, perceived risk on perceived value and subsequent satisfaction created in the context of C2C online exchanges. International Journal of Electronic Marketing and Retailing, 11(3), 217–238.

    Kieling, A. P., Tezza, R., & Vargas, G. L. (2023). Website stage model for Brazilian wineries: An analysis of presence in digital and mobile media. International Journal of Wine Business Research, 35(1), 45–65. https://doi.org/10.1108/IJWBR-05-2021-0032

    Kotler, P. (2021). Marketing para o século XXI. Editora Alta Books.

    Kulviwat, S., Thaku, R., & Guo, C. (2006). An exploratory study of consumer adoption of online shipping: Mediating effect of online purchase intention. International Journal of E-Business Research, 2(2), 68–82. https://doi.org/10.4018/978-1-59904-978-6.ch015

    Lee, S. W., Sung, H. J., & Jeon, H. M. (2019). Determinants of continuous intention on food delivery apps: Extending UTAUT2 with information quality. Sustainability, 11(11), 3141. https://doi.org/10.3390/su11113141

    Li, X., Liao, Q., Luo, X., & Wang, Y. (2020). Juxtaposing impacts of social media interaction experiences on e-commerce reputation. Journal of Electronic Commerce Research, 21(2), 75–95.

    Liébana-Cabanillas, F., Marinković, V., & Kalinić, Z. (2017). A SEM-neural network approach for predicting antecedents of m-commerce acceptance. International Journal of Information Management, 37(2), 14–24. https://doi.org/10.1016/j.ijinfomgt.2016.10.008

    Lin, K., Wang, Y., & Huang, T. K. (2018). What drives continued intention for mobile payment? An expectation cost benefit theory with habit. Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.179

    Natesan, V., & Venkatesalu, S. (2020). Food purchase using food delivery app and gender influence: Study of a small sample in Coimbatore City. International Journal of Online Marketing, 10(4), 57–73.

    Nguyen, T., Huang, E., & Nguyen, D. M. (2023). Food delivery app continuance: A dual model and segmentation approach. International Journal of Retail & Distribution Management, 51(5), 569–589. https://doi.org/10.1108/IJRDM-06-2022-0217

    Nielsen, J., & Budiu, R. (2013). Mobile usability. Pearson Education.

    Osaili, T. M., Al-Nabulsi, A. A., Taybeh, A. O., Cheikh Ismail, L., & Saleh, S. T. (2023). Healthy food and determinants of food choice on online food delivery applications. Plos one, 18(10), e0293004.

    Pourrahmani, E., Jaller, M., & Fitch-Polse, D. T. (2023). Modeling the online food delivery pricing and waiting time: Evidence from Davis, Sacramento, and San Francisco. Transportation Research Interdisciplinary Perspectives, 21, 100891.

    PWC. (2021). Four fault lines show a fracturing among global consumers. 2021 Global Consumer Insights Survey. Retrieved October 11, 2022, from https://www.pwc.com/gx/en/consumer-markets/consumer-insights-survey/2021/gcis-2021.pdf

    RFB. (2022). Painel Mapa de Empresas. Retrieved December 4, 2022, from https://www.gov.br/governodigital/pt-br/mapa-de-empresas/painel-mapa-de-empresas

    Revelle, W. (2022). psych: Procedures for personality and psychological research (Version 2.2.3) [Software]. Northwestern University, Evanston, Illinois, USA. Retrieved from https://CRAN.R-project.org/package=psych

    Rubin, J., & Chisnell, D. (2008). Handbook of usability testing (Kindle ed.). Wiley.

    Sanchez, G., Trinchera, L., & Russolillo, G. (2015). plspm: Tools for Partial Least Squares Path Modeling (PLS-PM) (Version 0.4.9) [Software]. Retrieved from https://github.com/gastonstat/plspm

    Schneider, W. A., Tezza, R., Salles, L. O., & Dias, J. S. (2018). Adoção do m-commerce: Uma análise da percepção de usuários e não usuários. Revista ADM. MADE, 21(3), 60–77.

    Schneider, W. A., & Tezza, R. (2021). Online shopping: Antecedents of attitude, intention, and use. Journal of Management Science & Engineering Research, 3, 11–25.

    Silva, C. J., de Brito Silva, M. J., & de Melo Barros, J. E. (2024). Antecedentes da percepção de valor dos usuários de aplicativos de entrega de comida em um contexto de crise sanitária [Antecedents of value perception of users of food delivery applications in a health crisis context]. Revista BASE, 21(3), julho/setembro 2024.

    Verma, P. (2020). The effect of presentation, product availability and ease upon transaction reliability for online food delivery aggregator applications–Moderated mediated model. Journal of Foodservice Business Research, 23(4), 285–304. https://doi.org/10.1080/15378020.2020.1761586

    Wang, B. (2016). A study of factors influencing mobile internet user behavior based on the business scenario of mobile entertainment applications. International Journal of Simulation--Systems, Science & Technology, 17(14), 1–7. https://doi.org/10.5013/IJSSST.a.17.14.19

    Wirtz, J., Lovelock, C., & Hemzo, M. Â. (2021). Marketing de serviços: Pessoas, tecnologia, estratégia. Editora Saraiva.

    Yan, C., Siddik, A. B., & Akter, N. (2021). Factors influencing the adoption intention of using mobile financial service during the COVID-19 pandemic: The role of FinTech. Environmental Science and Pollution Research, 1–19. https://doi.org/10.1007/s11356-021-17437-y

    Yang, F., Tang, J., Men, J., & Zheng, X. (2021). Consumer perceived value and impulse buying behavior on mobile commerce: The moderating effect of social influence. Journal of Retailing and Consumer Services, 63, 102683. https://doi.org/10.1016/j.jretconser.2021.102683

    Yeo, V. C. S., Goh, S. K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Journal of Retailing and Consumer Services, 35, 150–162.

    Zanquet, M. A., Kieling, A. P., & Tezza, R. (2024). Let’s get some food! The influence of marital status on the attributes’ perception of food delivery applications. Revista de Administração da UFSM, 17(1), e5–e5.

    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. https://doi.org/10.1177/1094670520948134

    Zhang, C., Yi-na, L., Wu, B., & Li, D. (2017). How WeChat can retain users: Roles of network externalities, social interaction ties, and perceived values in building continuance intention. Computers in Human Behavior, 69, 284–293. https://doi.org/10.1016/j.chb.2016.11.069

    Zhang, L., Long, L., Xu, Y., & Tan, W. (2013). Influences of perceived factors on consumer purchasing behavior: In the perspective of online shopping capability of consumers. Research Journal of Applied Sciences, Engineering and Technology, 5(24), 8632–8638.

    Zhao, Y., & Bacao, F. (2020). What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? International Journal of Hospitality Management, 91. https://doi.org/10.1016/j.ijhm.2020.102683

Revista Alcance

Revista Alcance is a Brazilian free access journal, published every four months, linked to the Graduate Program in Administration and the Professional Master’s degree in Administration, Internationalization and Logistics Program of the University of Vale do Itajaí – Univali. We seek to publish theoretical-empirical and technological articles in the areas of Business Administration. Different theoretical and methodological perspectives are welcome, as long as they are consistent with and relevant to the development of the area.

Access journal