Pilihan Konsumen Dalam Menggunakan Fitur Go-Food: Variabel Kegunaan Sebagai Moderator

Luh Erynayati; Made Ayu Desy Geriadi; Ni Putu Yuliana Ria Sawitri

doi:10.24912/je.v26i1.715

Authors

Luh Erynayati Fakultas Ekonomi dan Bisnis Universitas Ngurah Rai, Bali, Indonesia
Made Ayu Desy Geriadi Fakultas Ekonomi dan Bisnis Universitas Ngurah Rai, Bali, Indonesia
Ni Putu Yuliana Ria Sawitri Fakultas Ekonomi dan Bisnis Universitas Ngurah Rai, Bali, Indonesia

DOI:

https://doi.org/10.24912/je.v26i1.715

Keywords: various food choices, perceived usefulness, behavioural intention to use.

Abstract

The purpose of this study was to see the useful role in mediating the effect of choice on intention to use. This research was conducted at the Faculty of Economics and Business, Ngurah Rai University, located on Jalan Padma Penatih, Denpasar, Bali Province. The sample used in this study used a random sampling technique, where the respondents were students. The number of samples used was 100 people. The analysis technique used is the structural equation modelling (Structural Equation Modeling - SEM) based on the variant known as the Partial Least Square (PLS). The results showed that choice has a positive and significant effect on perceived benefits. The perceived usefulness has a positive and significant influence on the intention to use the Go-Food feature on the Gojek application. The choice of food variations has a positive and significant effect on the intention to use the Go-Food feature on the Gojek application. The perceived usefulness is able to mediate a positive and significant influence on the intention to use the Go-Food feature on the Gojek application.

Author Biographies

Luh Erynayati, Fakultas Ekonomi dan Bisnis Universitas Ngurah Rai, Bali, Indonesia

luh-erynayati@gmail.com

Made Ayu Desy Geriadi, Fakultas Ekonomi dan Bisnis Universitas Ngurah Rai, Bali, Indonesia

madeayudesi@gmail.com

Ni Putu Yuliana Ria Sawitri, Fakultas Ekonomi dan Bisnis Universitas Ngurah Rai, Bali, Indonesia

ria.sawitri@unr.ac.id

References

Ajibade, O., Ibietan, J. dan Ayelabola, O. (2017). E -Governance Implementation dan Public Service Delivery in Nigeria: The Technology Acceptance Model TAM Application. Journal of Public Administration dan Governance. Vol. 7. No. 4, pp. 165-174.

Alagoz and Hekimoglu. (2012). A Study on Tam: Analysis of Customer Attitudes in Online Food Ordering System. Procedia - Social and Behavioral Sciences, 62, 1138–1143. https://doi.org/10.1016/j.sbspro.2012.09.195.

Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2019.04.008.

Algharabat, R., Alalwan, A. A., Rana, N. P., and Dwivedi,Y. K. (2017). The dimensional product presentation quality antecedents and their consequences for online retailers: The moderating role of virtual product experience. Journal of Retailing and Consumer Services. Vol.36 pp. 203–217.

Amir, H. and Rizvi, W. (2017). Influence of perceived risk and familiarity on willingness to transact in online food shopping in developing economies: an (extended) abstract”, in Stieler, M. (Ed.), Creating Marketing Magic and Innovative Future Marketing Trends, Springer, Cham, pp. 891-895.

Awa, Hart O., Ojiabo Ukoha Ojiabo, dan Bartholomew Chinweuba Emecheta. (2015). Integrating TAM, TPB and TOE frameworks and expanding their characteristic constructs for e-commerce adoption by SMEs’. Journal of Science dan Technology Policy Management, Vol. 6. No. 1 pp. 76 - 94.

Bezerra, I.N., De Moura Souza, A., Pereira, R.A. and Sichieri, R. (2013). Consumo de alimentos fora do domicılio no Brasil”, Revista de Saude Publica, Vol. 47 No. 1, pp. 200-211.

Bigliardi, B., and Galati, F. (2013). Models of adoption of open innovation within the food industry. Trends in Food Science & Technology. Vol.30 No.1 pp. 16-26.

Brammer, S., Branicki, L., and Linnenluecke, M. (2020). COVID-19, Societalization and the Future of Business in Society. Academy of Management Perspectives. https://doi.org/10.5465/amp.2019.0053.

Bresciani, S. (2017). Open, networked and dynamic innovation in the food and beverage industry. In British Food Journal. https://doi.org/10.1108/BFJ-08-2017-0458.

Bresciani, S., Ferraris, A., Santoro, G., and Nilsen, H. R. (2016). Wine Sector: Companies’ Performance and Green Economy as a Means of Societal Marketing. Journal of Promotion Management. Vol.22 No.2 pp. 251-267. https://doi.org/10.1080/10496491.2016.1121753.

Bressolles, G., Durrieu, F., andSenecal, S., (2014). A consumer typology based on e-service quality and e-satisfaction. J. Retail. Consum. Serv. Vol. 21 No.6 pp.889–896.

Castellano, S., and Khelladi, I. (2016). How French wine producers use open innovation to gain and manage their legitimacy. Journal of the Knowledge Economy. Vol.7 No.1 pp. 155-171.

Chai, L.T. and Yat, D.N.C. (2019). Online food delivery services: making food delivery the new normal”, Journal of Marketing Advances and Practices, Vol. 1 No. 1, pp. 62-77.

Chang, S.-C., Chou, P.-Y., and Lo, W.-C. (2014). Evaluation of satisfaction and repurchase intention in online food group-buying, using Taiwan as an example. British Food Journal. Vol. 116 No.1 pp. 44–61. https://doi.org/10.1108/BFJ-03-2012-0058.

Chen, S. Y. (2016). Using the sustainable modified TAM dan TPB to analyze the effects of perceived green value on loyalty to a public bike system’. Transportation Research Part A: Policy dan Practice. Elsevier Ltd, Part. A 88 pp. 58–72.

Chen, H. and Hsieh, Y. (2017), “The driving success factors of the online food ordering system – empirical evidence from the UTAUT model”.

Cho, M., Bonn, M. A., and Li, J. (Justin). (2019). Differences in perceptions about food delivery apps between single-person and multi-person households. International Journal of Hospitality Management. https://doi.org/10.1016/j.ijhm.2018.06.019.

Das, S. and Ghose, D. (2019). Influence of online food delivery apps on the operations of the restaurant business. International Journal of Scientific and Technology Research, Vol. 8 No. 12, pp. 1372-1377.

Faqih, K.M.S., and 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. J. Retail. Consum. Serv. Vol.22 pp. 37–52.

Gössling, S., Scott, D., and Hall, C. M. (2020). Pandemics, tourism and global change: a rapid assessment of COVID-19. Journal of Sustainable Tourism. https://doi.org/10.1080/09669582.2020.1758708.

Grönroos, C. and Gummerus, J. (2014). The service revolution and its marketing implications: service logic vs service-dominant logic”, Managing Service Quality, Vol. 24 No. 3, pp. 206-229. http://dx.doi.org/10.1108/MSQ-03-2014-0042.

Hassan, T. A., Hollander, S., van Lent, L., and Tahoun, A. (2020). Firm-Level Exposure To Epidemic Diseases. In NBER Working Paper Series.

He, Z., Han, G., Cheng, T. C. E., Fan, B., and Dong, J. (2019). Evolutionary food quality and location strategies for restaurants in competitive online-to-offline food ordering and delivery markets: An agent-based approach. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2018.05.008.

Hoffman, K.D., Bateson, J.E.G. and Ikeda, A.A. (2010). Princıpios de Marketing de Serviços, 3rd ed., CengageS~ao Paulo, p. 599.

Jiang, L.A., Yang, Z., and Jun, M. (2013). Measuring consumer perceptions of online shopping convenience. J. Serv. Manag. Vol.24 No.2 pp.191–214.

Jokar, N. K., Noorhoseini S,A., and Allahyari, M. S. Damalas Cristos, A. (2017). Consumers’ acceptance of medicinal herbs: An application of the technology acceptance model TAM. Journal of Ethnopharmacology. Elsevier Ireland Ltd, Vol. 20. No. 7, pp. 203–210.

Kapoor, A.P. and Vij, M. (2018). Technology at the dinner table: ordering food online through mobile apps. Journal of Retailing and Consumer Services. Vol. 43, pp. 342-351.

Landers, R.N., Brusso, R.C., Cavanaugh, K.J., Collmus, A.B. (2016). A primer on theory- driven web scraping: automatic extraction of big data from the internet for use in psychological research. Psychol. Methods Vol.21 No.4 pp.475–492.

Lefebvre, V. M., De Steur, H., and Gellynck, X. (2015). External sources for innovation in food SMEs. British Food Journal. Vol.117 No.1 pp. 412-430.

Lu, Y., and Rastrick, K. (2014). Impacts of website design on the adoption intention of mobile commerce: Gender as a moderator. New Zealand Journal of Applied Business Research. Vol.12 No.2 pp. 51–68.

Machado, J.G.C.F. and Pigatto, G. (2015), “Inovaç~ao de marketing para serviços de alimentaç~ao”, in Zuin, L.F.S. and Queiroz, T.R. (Eds), Agronegocios, Gest~ao, Inovaç~ao e Sustentabilidade, Saraiva, S~ao Paulo, pp. 199-228.

Marriott, H. R., Williams, M. D., and Dwivedi, Y. K. (2017). What do we know about consumer m-shopping behaviour? International Journal of Retail and Distribution Management. Vol.45 No.6 pp. 568–586.

McKibbin, W., and Fernando, R. (2020). The Global Macroeconomic Impacts of COVID-19: Seven Scenarios. Asian Economic Papers. https://doi.org/10.1162/asep_a_00796.

Ng, S.-R., Wong, S.-Y., and Chong, L. (2017). Outsourcing to online food delivery services: Perspective of F&B business owners. Journal of Internet Banking and Commerce. Vol.22 No.2 pp. 1–13.

Nilashi, M., Ibrahim, O., Reza Mirabi, V., Ebrahimi, L., and Zare, M. (2015). The role of security, design and content factors on customer trust in mobile commerce. J. Retail. Consum. Serv. Vol.26 pp. 57–69.

OECD. (2020). OECD Economic Outlook, Interim Report March 2020 - Coronavirus: the world economy at risk. Organisation for Economic Co-Operation and Development.

Papanikolaou, D., and Schmidt, L. (2020). Working Remotely and the Supply-Side Impact of COVID-19. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3615334.

Pee, L., Jiang, J., and Klein, G. (2018). E-store loyalty: Longitudinal comparison of website usefulness and satisfaction. International Journal of Market Research. January, 12 pp. 1–17. https://doi.org/10.1177/1470785317752045.

Pigatto, G., Machado, J. G. de C. F., Negreti, A. dos S., and Machado, L. M. (2017). Have you chosen your request? Analysis of online food delivery companies in Brazil. British Food Journal. Vol. 119 No. 3, pp. 639-657. https://doi.org/10.1108/BFJ-05-2016-0207.

Reuver, M., Ongena, G. and Bouwman, H. (2013). Should mobile internet be an extension to the fixed web? Fixed-mobile reinforcement as mediator between context of use and future use. Telematics and Informatics. Vol. 30 No. 2, pp. 111-120.

Rezaei, S., Shahijan, M.K., Amin, M., and Ismail, W.K.W. (2016). Determinants of app stores continuance behavior: a PLS path modelling approach. J. Internet Commer. Vol. 15 No.4 pp. 408–440.

Roh, M., and Park, K. (2019). Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2018.09.017.

Schiffman, L.G and Kanuk, L.K,. (2010). Consumer Behavior, 10th edition. New Jersey, Pearson Prentice Hall.

Statista. (2018). Food Delivery Worldwide Retrieved January 20th, 2018. https://www.statista.com/outlook/374/100/food-delivery/worldwide.

Sumerta, I. K., Widyagoca, I. G. P. A., Adiandari, A. M., and Herlambang, P. G. D. (2019). Analysis of technology acceptance model (TAM) to use E-money in Bali Province. International Journal of Advanced Trends in Computer Science and Engineering. https://doi.org/10.30534/ijatcse/2019/3881.52019.

Sumerta, I. K., Widyagoca, I. G. P. A., and Meryawan, I. W. (2019). Online consumer behavior on using social media on E-commerce, based on the AISAS model approach. Case study; Bukalapak, Tokopedia and Blili.com. International Journal of Advanced Trends in Computer Science and Engineering. https://doi.org/10.30534/ijatcse/2019/4281.52019.

Vrontis, D., Bresciani, S., and Giacosa, E. (2016). Tradition and innovation in Italian wine family businesses. British Food Journal. https://doi.org/10.1108/BFJ-05-2016-0192.

Wei, Qijun Xie, Song Xiaobao Peng, and Muhammad Shabbir. (2017). Predictors for e-government adoption: integrating TAM, TPB, trust dan perceived risk. The Electronic Library, Vol. 35. No. 1. pp. 2–20.

Ye, S., Ying, T., Zhou, L. and Wang, T. (2019). Enhancing customer trust in peer-to-peer accommodation: a ‘soft’ strategy via social presence. International Journal of Hospitality Management. Vol. 79, pp. 1-10.

Yeo, V. C. S., Goh, S. K., and Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2016.12.013.