• Intan Muliana Rhamdhani Sekolah Tinggi Ilmu Ekonomi Putra Bangsa
Keywords: Intention, usefulness, ease of use, online service, convenience motivation


Online food delivery (OFD) is an innovative and simple way of purchasing food online. This study aims to examine consumer purchase intentions to use OFD Go-food services during the Covid-19 Pandemic. This study uses a survey of 100 consumers who have the Go-jek application in Kebumen to fill out the questionnaire. The sample technique was taken by using purposive sampling technique, then the data were processed using SPSS version 25.0 and analyzed using path analysis. The findings of this study indicate that the convenience motivation and perceived ease of use are proven unable to directly influence consumer intention to use OFD. Meanwhile, convenience motivation and perceived ease of used have an effect on perceived usefulness. Other results indicate that perceived usefulness is able to act as a mediating variable between convenience motivation, perceived ease of use on consumer purchase intentions using OFD




Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ perceived ease of use (PEOU) and perceived usefulness (PU) of e-portfolios. Computers in Human Behavior, 63, 75–90.

Ajzen, I. (2015). Consumer attitudes and behavior: the theory of planned behavior applied to food consumption decisions. Rivista di economia agraria, 70(2), 121–138.

Annaraud, K., & Berezina, K. (2020). Predicting satisfaction and intentions to use online food delivery: What really makes a difference? Journal of Foodservice Business Research, 23(4), 305–323.

Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 66(3), 1–17.

Chawla, D., & Joshi, H. (2019). Consumer attitude and intention to adopt mobile wallet in india - an empirical study. International Journal of Bank Marketing, 37(7), 1590–1618.

Chiu, C., Wang, E. T. G., Fang, Y., & Huang, H. (2014). Understanding customers’ repeat purchase intentions in B2C e-commerce: the roles of utilitarian value, hedonic value and perceived risk. Information System Journal, 24(1), 85–114.

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(Vol. 77, pp. 108–116), 0–1.

Choon Ling, K., Bin Daud, D., Hoi Piew, T., Keoy, K. H., & Hassan, P. (2011). Perceived risk, perceived technology, online trust for the online purchase intention in Malaysia. International Journal of Business and Management, 6(6).

Colwell, S. R., Aung, M., Kanetkar, V., & Holden, A. L. (2008). Toward a measure of service convenience: Multiple-item scale development and empirical test. Journal of Services Marketing, 22(2), 160–169.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quartely, 13(3), 319–340.

Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption : a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474.

Izquierdo-yusta, A., & Schultz, R. J. (2011). Understanding the effect of internet convenience on intention to purchase via the internet. Journal of Marketing Development and Competitiveness, 5(4), 32–50.

Jeng, S. P. (2016). The influences of airline brand credibility on consumer purchase intentions. Journal of Air Transport Management, 55, 1–8.

Jiang, L. (Alice), Yang, Z., & Jun, M. (2013). Measuring consumer perceptions of online shopping convenience. Journal of Service Management, 24(2), 191–214.

Jih, W. J. (2007). Effects of consumer-perceived convenience on shopping intention in mobile commerce: an empirical study. International Journal of E-Business Research (IJEBR), 3(4), 33–48.

Keeble, M., Adams, J., Sacks, G., Vanderlee, L., White, C. M., Hammond, D., & Burgoine, T. (2020). Use of online food delivery services to order food prepared away-from-home and associated sociodemographic characteristics: A cross-sectional, multi-country analysis. International Journal of Environmental Research and Public Health, 17(14), 1–17.

Koufaris, M., & Hampton-sosa, W. (2004). The development of initial trust in an online company by new customers. Information & Management, 41(3), 377–397.

Lee, E. Y., Lee, S. B., & Jeon, Y. J. J. (2017). Factors influencing the behavioral intention to use food delivery apps. Social Behavior and Personality, 45(9), 1461–1474.

Mohammadi, H. (2015). A study of mobile banking loyalty in Iran. Computers in Human Behavior, 44, 35–47.

Moslehpour, M., Pham, V. K., Wong, W. K., & Bilgiçli, I. (2018). E-purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use. Sustainability (Switzerland), 10(1).

Mujahidin, A. (2020). Pengaruh fintech e-wallet terhadap perilaku konsumtif pada generasi millennial. Inovbiz: Jurnal Inovasi Bisnis, 8(2), 143.

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61(2016), 404–414.

Prabowo, G. T., & Nugroho, A. (2019). Factors that Influence the Attitude and Behavioral Intention of Indonesian Users toward Online Food Delivery Service by the Go-Food Application. Advances in Economics, Business and Management Research, 72(12th Icbmr 2018), 204–210.

Purvis, B., Mao, Y., & Robinson, D. (2019). Three pillars of sustainability : in search of conceptual origins. Sustainability Science, 14(3), 681–695.

Riptiono, S. (2020). Pengaruh Allocentris dan Animosity terhadap Niat Beli Konsumen pada Produk Makanan Lokal dengan Ethnocentrism sebagai Intervening Variabel. Jurnal Aplikasi Manajemen Dan Bisnis, 6(2), 379–388.

Shin, D. H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343–1354.

Singh, S., & Srivastava, R. . (2018). Predicting the Intention to Use Mobile Banking in India Introduction. International Journal of Bank Marketing, 36(2), 357–378.

Statista. (2019). Online food delivery report 2019. Available Online: Https://Www.Statista.Com/Study/40457/Food- Delivery.

Troise, C., O’Driscoll, A., Tani, M., & Prisco, A. (2020). Online food delivery services and behavioural intention – a test of an integrated TAM and TPB framework. British Food Journal.

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(December 2016), 150–162.

How to Cite
Rhamdhani, I. (2021). ANALISIS NIAT BELI KONSUMEN MELALUI ONLINE FOOD DELIVERY DI ERA PANDEMIC COVID-19. Kajian Bisnis Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha, 29(2), 18-28.