Intention to Use and Over-Ordering in Online Food Delivery Services: An Extension of the Theory of Planned Behavior

Desta Permasih, Arif Imam Suroso, Nur Hasanah

Abstract

Online food delivery (OFD) services can shape consumer habits through regular use. Although promotions attract consumers, they may also encourage food waste. This study analyzes factors influencing the intention to use OFD services and over-ordering behaviors by extending the Theory of Planned Behavior (TPB) with variables such as sales promotion and leftover reuse. The study used purposive sampling and collected data from an online survey of 253 OFD service users in Jabodetabek. Descriptive analysis and Partial Least Squares-Structural Equation Modeling (PLS-SEM) were applied. Results showed that most of the OFD users in this study were female residents of Bogor and Jakarta, aged 25 - 35 years old, single, holding a bachelor's degree, employed, with monthly incomes of IDR5,000,000 and IDR10,000,000, and spending IDR1,000,000 - IDR2,000,000 per month on food. Intention to use was influenced by attitude and subjective norms, while over-ordering was influenced by sales promotion and intention to use. The leftover reuse variable did not significantly influence the intention to use or over-ordering. Implications include encouraging continued OFD use through targeted advertising and features to help users manage consumption behavior, such as setting order reminders, providing nutritional information, and offering personalized portion recommendations. This study’s novelty lies in introducing a new variable and demonstrating that sales promotions can encourage over-ordering.

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195

Aloysius, N., Ananda, J., Mitsis, A., & Pearson, D. (2023). Why people are bad at leftover food management? A systematic literature review and a framework to analyze household leftover food waste generation behavior. Appetite, 186, 1–15. https://doi.org/10.1016/j.appet.2023.106577

Arora, S., & Sahney, S. (2018). Consumer’s webrooming conduct: an explanation using the theory of planned behavior. Asia Pacific Journal of Marketing and Logistics, 30(4), 1040–1063. https://doi.org/10.1108/APJML-08-2017-0185

Aryanti, A., & Andarini, S. (2023). Pengaruh promosi penjualan dan konformitas melalui kepercayaan pelanggan terhadap perilaku impulse buying (Studi pada Generasi Z pengguna platform online food delivery Gofood di Surabaya). Journal of Management & Business, 6(1), 693–703. https://doi.org/10.37531/sejaman.v6i1.3993

Ayatinha, S. Y., Alimudin, A., & Saputri, R. A. (2022). Promotion effect, quality of service driver, discount prices and shipping discounts on food purchase decision using services Shopeefood to students in Surabaya. World Journal of Business Research and Project Management, 2(2), 52–61. http://world.journal.or.id/index.php/brpm

Baker, S. R., Farrokhnia, R. A., Meyer, S., Pagel, M., & Yannelis, C. (2020). How does household spending respond to an epidemic? consumption during the 2020 COVID-19 pandemic. Review of Asset Pricing Studies, 10(4), 834–862. https://doi.org/10.1093/rapstu/raaa009

[BAPPENAS] National Development Planning Agency. (2021, May 10). Food loos and waste di Indonesia. lcdi.indonesia. https://lcdi-indonesia.id/wp-content/uploads/2021/06/Report-Kajian-FLW-FINAL-4.pdf

Barone, A. M., Grappi, S., & Romani, S. (2019). The road to food waste is paved with good intentions: When consumers’ goals inhibit the minimization of household food waste. Resources, Conservation and Recycling, 149, 97–105. https://doi.org/10.1016/j.resconrec.2019.05.037

Baskara, I. B. (2015). Pengaruh potongan harga (discount) terhadap pembelian tidak terencana (impulse buying)(Studi pada pengunjung Matahari Department Store Johar Plaza Jember). Manajemen Dan Bisnis, 5(2), 67–96. https://doi.org/10.22219/jmb.v5i2.5382

Belanche, D., Flavián, M., & Pérez-Rueda, A. (2020). Mobile apps use and WOM in the food delivery sector: The role of planned behavior, perceived security and customer lifestyle compatibility. Sustainability (Switzerland), 12(10). https://doi.org/10.3390/su12104275

Chai, L. T., & Yat, D. N. C. (2019). Online food delivery services: Making food delivery the new normal. Journal of Marketing Advance and Practices, 1(1), 62–77.

Chen, H. S., Liang, C. H., Liao, S. Y., & Kuo, H. Y. (2020). Consumer attitudes and purchase intentions toward food delivery platform services. Sustainability, 12(23), 1–18. https://doi.org/10.3390/su122310177

Das, J. (2018). Consumer perception towards online food ordering and delivery services: An empirical study. Journal of Management, 5(5), 155–163. http://www.iaeme.com/IJCIET/index.asp155http://www.iaeme.com/JOM/issues.asp?JType=JOM&VType=5&IType=5http://www.iaeme.com/JOM/issues.asp?JType=JOM&VType=5&IType=5

Di Talia, E., Simeone, M., & Scarpato, D. (2019). Consumer behaviour types in household food waste. Journal of Cleaner Production, 214, 166–172. https://doi.org/10.1016/j.jclepro.2018.12.216

[EIU] The Economist Intelligence Unit. (2017). Fixing food towadrs a more sustainable food system. impact.economist.com. https://impact.economist.com/perspectives/sites/default/files/FIXING-FOOD-TOWARDS-A-MORE-SUSTAINABLE-FOOD-SYSTEM.pdf

Graham-Rowe, E., Jessop, D. C., & Sparks, P. (2014). Identifying motivations and barriers to minimising household food waste. Resources, Conservation and Recycling, 84, 15–23. https://doi.org/10.1016/j.resconrec.2013.12.005

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (Second Edition). SAGE Publication, Inc.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Hasbi, I., Syahputra, S., Syarifuddin, S., Wijaksana, T. I., & Farías, P. (2022). The impact of discount appeal of food ordering application on consumer satisfaction in Southeast Asia. Journal of Eastern European and Central Asian Research, 9(6), 978–991. https://doi.org/10.15549/jeecar.v9i6.956

Hung, Y., de Kok, T. M., & Verbeke, W. (2016). Consumer attitude and purchase intention towards processed meat products with natural compounds and a reduced level of nitrite. Meat Science, 121, 119–126. https://doi.org/10.1016/j.meatsci.2016.06.002

Inthong, C., Champahom, T., Jomnonkwao, S., Chatpattananan, V., & Ratanavaraha, V. (2022). Exploring factors affecting consumer behavioral intentions toward online food ordering in Thailand. Sustainability, 14(14), 2–17. https://doi.org/10.3390/su14148493

Jiang, Y., Liu, F., & Lim, A. (2021). Digital coupon promotion and platform selection in the presence of delivery effort. Journal of Retailing and Consumer Services, 62, 1–11. https://doi.org/10.1016/j.jretconser.2021.102612

Jun, K., Yoon, B., Lee, S., & Lee, D. S. (2022). Factors influencing customer decisions to use online food delivery service during the covid-19 pandemic. Foods, 11(1), 1–15. https://doi.org/10.3390/foods11010064

Kapoor, A. P., & Vij, M. (2018). Technology at the dinner table: Ordering food online through mobile apps. Journal of Retailing and Consumer Services, 43, 342–351. https://doi.org/10.1016/j.jretconser.2018.04.001

Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130–141. https://doi.org/10.1016/j.elerap.2008.11.006

Liu, C., Bunditsakulchai, P., & Zhuo, Q. (2021). Impact of covid-19 on food and plastic waste generated by consumers in bangkok. Sustainability, 13(16), 1–21. https://doi.org/10.3390/su13168988

Loeb, S., Dynarski, S., Mcfarland, D., Morris, P., Reardon, S., & Reber, S. (2017). Descriptive analysis in education: A guide for researchers. http://ies.ed.gov/ncee/.

Novita, D., & Husna, N. (2020). The influence factors of consumer behavioral intention towards online food delivery services. International Journal of Business, 3(2), 40–42. https://doi.org/10.1016/j.jretconser.2016.12.013

Peemanee, J., & Wongsahai, E. (2021). Technology acceptance and service convenience on repeat purchase decision of food delivery business in Thailand. IOP Conference Series: Earth and Environmental Science, 756(1), 1–6. https://doi.org/10.1088/1755-1315/756/1/012029

Pitchay, A. A., Ganesan, Y., Zulkifli, N. S., & Khaliq, A. (2022). Determinants of customers’ intention to use online food delivery application through smartphone in Malaysia. British Food Journal, 124(3), 732–753. https://doi.org/10.1108/BFJ-01-2021-0075

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. 12th International Conference on Business and Management Research (ICBMR), 72, 204–210.

Prasetyo, Y. T., Tanto, H., Mariyanto, M., Hanjaya, C., Young, M. N., Persada, S. F., Miraja, B. A., & Redi, A. A. N. P. (2021). Factors affecting customer satisfaction and loyalty in online food delivery service during the COVID-19 pandemic: Its relation with open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 1–17. https://doi.org/10.3390/joitmc7010076

Ray, A., Dhir, A., Bala, P. K., & Kaur, P. (2019). Why do people use food delivery apps (FDA)? A uses and gratification theory perspective. Journal of Retailing and Consumer Services, 51, 221–230. https://doi.org/10.1016/j.jretconser.2019.05.025

Roh, M., & 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, 47, 262–273. https://doi.org/10.1016/j.ijinfomgt.2018.09.017

Sari, D. I., Hermandi, I., & Hasanah, N. (2023). Behavior analysis and clustering of consumers towards halal awareness. Journal of Consumer Sciences, 8(3), 277–295. https://doi.org/10.29244/jcs.8.3.277-295

Secondi, L., Principato, L., & Laureti, T. (2015). Household food waste behaviour in EU-27 countries: A multilevel analysis. Food Policy, 56, 25–40. https://doi.org/10.1016/j.foodpol.2015.07.007

Shankar, A., Dhir, A., Talwar, S., Islam, N., & Sharma, P. (2022). Balancing food waste and sustainability goals in online food delivery: Towards a comprehensive conceptual framework. Technovation, 117, 1–12. https://doi.org/10.1016/j.technovation.2022.102606

Sharma, R., Dhir, A., Talwar, S., & Kaur, P. (2021). Over-ordering and food waste: The use of food delivery apps during a pandemic. International Journal of Hospitality Management, 96, 1–13. https://doi.org/10.1016/j.ijhm.2021.102977

Stancu, V., Haugaard, P., & Lähteenmäki, L. (2016). Determinants of consumer food waste behaviour: Two routes to food waste. Appetite, 96, 7–17. https://doi.org/10.1016/j.appet.2015.08.025

Statista. (2023, April 30). Frequency of ordering food on food delivery apps in Indonesia as of April 2023. Statista. https://www.statista.com/statistics/1140708/indonesia-ordering-food-from-food-delivery-apps-frequency/

Stefan, V., van Herpen, E., Tudoran, A. A., & Lähteenmäki, L. (2013). Avoiding food waste by Romanian consumers: The importance of planning and shopping routines. Food Quality and Preference, 28(1), 375–381. https://doi.org/10.1016/j.foodqual.2012.11.001

Talwar, S., Kaur, P., Ahmed, U., Bilgihan, A., & Dhir, A. (2022). The dark side of convenience: how to reduce food waste induced by food delivery apps. British Food Journal, 125(1), 205–225. https://doi.org/10.1108/BFJ-02-2021-0204

Tran, V. D. (2021). Using mobile food delivery applications during the covid‐19 pandemic: Applying the theory of planned behavior to examine continuance behavior. Sustainability, 13(21), 1–20. https://doi.org/10.3390/su132112066

Troise, C., O’Driscoll, A., Tani, M., & Prisco, A. (2021). Online food delivery services and behavioural intention – a test of an integrated TAM and TPB framework. British Food Journal, 123(2), 664–683. https://doi.org/10.1108/BFJ-05-2020-0418

[UNEP] United Nations Environment Programme. (2021). Food Waste Index Report 2021. Retrieved from https://www.unep.org/resources/report/unep-food-waste-index-report-2021

Visschers, V. H. M., Wickli, N., & Siegrist, M. (2016). Sorting out food waste behaviour: A survey on the motivators and barriers of self-reported amounts of food waste in households. Journal of Environmental Psychology, 45, 66–78. https://doi.org/10.1016/j.jenvp.2015.11.007

Wang, M., Rasoolimanesh, S. M., Kunasekaran, P., & Zhao, Y. (2022). Understanding over-ordering behaviour in social dining: integrating mass media exposure and sense of ‘Mianzi’ into the Norm Activation Model. Service Industries Journal, 1–20. https://doi.org/10.1080/02642069.2022.2138356

We Are Social. (2021, 27 Jan). Digital 2021: the latest insights into the ‘state of digital’. Retrieved from https://wearesocial.com/uk/blog/2021/01/digital-2021-the-latest-insights-into-the-state-of-digital/

Widanengsih, E., Kurniadi, W., & Destiana, H. (2022). Adopsi penggunaan aplikasi mobile food ordering dengan model unified theory of acceptance and use of technology 2. Journal of Industrial Engineering & Management Research, 3(1), 63–79. https://doi.org/10.7777/jiemar.v2i3

Widyastuti, W., & Sulistyowati, R. (2021). Pengaruh e-service quality dan sales promotion terhadap keputusan menggunakan fitur Go-Food (Studi pada pengguna Gojek di Surabaya). Jurnal Pendidikan Tata Niaga (JPTN), 9(2), 1272–1278. https://doi.org/https://doi.org/10.26740/jptn.v9n2.p1272-1278

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. https://doi.org/10.1016/j.jretconser.2016.12.013

Yoopetch, C., Siriphan, P., & Chirapanda, S. (2022). Effects of application satisfaction, promotions, ease of payment and convenience on intention to repurchase food online. Journal of Hunan University (Natural Sciences), 49(5), 71–79. https://doi.org/10.55463/issn.1674-2974.49.5.9

Yu, Z., Ju, X., Bai, L., & Gong, S. (2021). Consumer’s over-ordering behavior at restaurant: Understanding the important roles of interventions from waiter and ordering habits. Appetite, 160, 1–10. https://doi.org/10.1016/j.appet.2020.105092

Zhang, H., Xue, L., Jiang, Y., Song, M., Wei, D., & Liu, G. (2022). Food delivery waste in Wuhan, China: Patterns, drivers, and implications. Resources, Conservation and Recycling, 177, 1–11. https://doi.org/10.1016/j.resconrec.2021.105960

Zheng, F., Zhao, C., Ajina, A. S., & Poulova, P. (2023). Decoding the dilemma of consumer food over-ordering in Restaurants: An augmented Theory of Planned Behavior model investigation. Sustainability, 15(11), 8735. https://doi.org/10.3390/su15118735

Authors

Desta Permasih
Arif Imam Suroso
Nur Hasanah
nur.hasanah@apps.ipb.ac.id (Primary Contact)
PermasihD., SurosoA. I., & HasanahN. (2024). Intention to Use and Over-Ordering in Online Food Delivery Services: An Extension of the Theory of Planned Behavior. Journal of Consumer Sciences, 9(3), 315-337. https://doi.org/10.29244/jcs.9.3.315-337

Article Details

“Go Healthy”: Diet Catering for Obese Consumers with a Consumer Discovery Approach

Nadya Yona Eka Putri, Retnaningsih Retnaningsih, Asep Taryana
Abstract View : 470
Download :447

The Role of Service and Product Quality on Customer Loyalty

Agus Taufik, Sugeng Santoso, Muhamad Irfan Fahmi, Faqih Restuanto, Steven Yamin
Abstract View : 9249
Download :7187