Attitude and the Mediating Role in Online Food Delivery Continuance Intention

Authors

DOI:

https://doi.org/10.29244/jcs.10.3.577-600

Keywords:

attitude, continuance intention, food safety risk perception, online food delivery, price saving, social influence, time saving

Abstract

Background: The online food delivery (OFD) sector has grown rapidly in Indonesia, necessitating scholarly examination of consumer behavior beyond initial adoption to understand continuance patterns in technology-enabled consumption.

Purpose: This research aims to analyze the effects of food safety risk perception, social influence, price savings, and time savings on consumers' continuance intention toward OFD services, with attitude as a mediating variable.

Method: A quantitative survey of 384 OFD users in Batam City, Indonesia, who had used the services three times in three months was conducted, and the data were analyzed using PLS-SEM.

Findings: Social influence, price savings, time savings, and food safety risk perception significantly affect attitude and continuance intention through the mediation of attitude. Food safety risk exhibits dual effects of direct negative and indirect positive effects through attitude.

Conclusions: Attitude serves as a critical mediator consistent with the Theory of Planned Behavior. OFD providers should strengthen food safety assurances, leverage social influence, emphasize efficiency benefits, and enhance positive attitudes to sustain consumer loyalty and long-term engagement.

Research implication: OFD service suppliers should strengthen consumer confidence by addressing food safety concerns, leveraging social influence, and emphasizing time and cost efficiency. Marketing and operations also improve positive consumer attitudes to support long-term engagement.

References

Alauddin, M., & Akther, S. (2023). Consumers’ Food Delivery Apps (FDAs) Continuance Intention: An Empirical Investigation using the Extended UTAUT2 Model. Global Journal of Management and Business Research, 23(2), 1–20. https://doi.org/10.34257/gjmbrevol23is2pg1

Pitchay, 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

Amin, M. Al, Arefin, M. S., Alam, M. R., Ahammad, T., & Hoque, M. R. (2021). Using Mobile Food Delivery Applications during COVID-19 Pandemic: An Extended Model of Planned Behavior. Journal of Food Products Marketing, 27(2), 105–126. https://doi.org/10.1080/10454446.2021.1906817

Asyrafi, F. H., & Anas Hidayat. (2023). The Influence of Subjective Norms and Perception of Food Safety Toward Behavioral Intention to Use and Continuance Behavior: a Study Case on Mobile Food Delivery Applications During Covid-19 Pandemic in Indonesia. In International Journal of Research in Business and Social Science (Vol. 12, Issue 3, pp. 207–215).

Ayhün, S. E., Köse, B. Ç., & Aydin, E. (2024). Determinants of Customers’ Intention to Use Online Food Delivery Services: A Study of Generation Z. Wseas Transactions on Business and Economics, 21, 1642–1656. https://doi.org/10.37394/23207.2024.21.134

Belanche, D., Flavián, M., & Pérez-Rueda, A. (2020). Mobile apps use and WOM in 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. Sustainability, 12(10), 1–21.

Chakraborty, S., Azam, M. K., & Sana. (2022). Factors Affecting the Behavioural Intentions of Indian Millennials. International Journal of Online Marketing, 12(1), 1–16. https://doi.org/10.4018/ijom.306975

Elverda, E., Nahdah, T. A., & Hamali, S. (2025). Analysis of Factors Affecting Consumer Decision-Making in Choosing Online Food Delivery in Indonesia. Journal of Consumer Sciences, 10(1), 118–144. https://doi.org/10.29244/jcs.10.1.118-144

Eugine Tafadzwa Maziriri, Tinashe Chuchu, & Tarisai Fritz Rukuni. (2023). An Empirical Appraisal of Electronic Service Quality, Customer Satisfaction and Behavioral Intentions within Online Shopping in South Africa. Journal of Consumer Sciences, 8(3), 234–256. https://doi.org/10.29244/jcs.8.3.234-256

Guangsheng, Y. (2022). Online Food Delivery, Behaviour Intention - What Can Be Influence? Journal of Digitainability, Realism & Mastery (DREAM), 1(06), 77–92. https://doi.org/10.56982/dream.v1i06.59

Gupta, V., & Duggal, S. (2021). How the consumer’s attitude and behavioural intentions are influenced: A case of online food delivery applications in India. International Journal of Culture, Tourism, and Hospitality Research, 15(1), 77–93. https://doi.org/10.1108/IJCTHR-01-2020-0013

Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027. https://doi.org/10.1016/j.rmal.2022.100027

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). The Results of PLS-SEM Article information. European Business Review, 31(1), 2–24.

Hoang, H., Chau, N. T., & Tan, T. Le. (2023). Dataset of food delivery app users at a public university: Insights into digital transformation. Data in Brief, 48, 109161. https://doi.org/10.1016/j.dib.2023.109161

Hong, C., Choi, E. K. (Cindy), & Joung, H. W. (David). (2023). Determinants of customer purchase intention toward online food delivery services: The moderating role of usage frequency. Journal of Hospitality and Tourism Management, 54(December 2022), 76–87. https://doi.org/10.1016/j.jhtm.2022.12.005

Huang, H. L. (2023). Challenges for contactless online food delivery services during the COVID-19 pandemic in Taiwan: Moderating effects of perceived government response. Evaluation and Program Planning, 97(November 2022), 102249. https://doi.org/10.1016/j.evalprogplan.2023.102249

Hwang, J., Kim, J. J., & Lee, K. W. (2021). Investigating consumer innovativeness in the context of drone food delivery services: Its impact on attitude and behavioral intentions. Technological Forecasting and Social Change, 163(October), 120433. https://doi.org/10.1016/j.techfore.2020.120433

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

Kautsar, F. F. K., Siallagan, M., & Palumian, Y. (2023). Customer Decisions to Use Online Food Delivery Services During The COVID-19 Pandemic. Journal of Business and Management Review, 4(1), 017–035. https://doi.org/10.47153/jbmr41.5702023

Khan, S. K., Muhammad, A. A., & Ali, A. (2022). Determinants of Customer Attitude and Behavioral Intention for Online Food Delivery: A Study from Karachi. Market Forces, 17(2), 137–156. https://doi.org/10.51153/mf.v17i2.592

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610.

Koay, L. K., Sanderan, P. A., Pong, H. L., Poon, Z. Y., Marimuthu, S. A., Gisca, A. P., Gupta, M., Saxena, M., & Kee, D. M. H. (2023). AI-assisted Food Ordering and Delivery Management System for KFC: Insights from Malaysia, Indonesia and India. Journal of the Community Development in Asia, 6(3), 331–345. https://doi.org/10.32535/jcda.v6i3.2540

Kumar, S., Jain, A., & Hsieh, J. K. (2021). Impact of apps aesthetics on revisit intentions of food delivery apps: The mediating role of pleasure and arousal. Journal of Retailing and Consumer Services, 63(January), 102686. https://doi.org/10.1016/j.jretconser.2021.102686

Kurniawan, A. C., Rachmawati, N. L., Ayu, M. M., Ong, A. K. S., & Redi, A. A. N. P. (2024). Determinants of satisfaction and continuance intention towards online food delivery service users in Indonesia post the COVID-19 pandemic. Heliyon, 10(1), e23298. https://doi.org/10.1016/j.heliyon.2023.e23298

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

Liébana-Cabanillas, F., Alcántara-Pilar, J. M., Singh, N., & Pavluković, V. (2024). Overview of the Adoption of Online Food Ordering Services in Spain and India. An Analytical Approach Based on the Stimulus-Organism-Response Model. International Journal of Human-Computer Interaction, 40(14), 3748–3762. https://doi.org/10.1080/10447318.2023.2201550

Madiawati, P. N., & Wijaksana, T. I. (2023). How Consumer Attitude Mediates Risk Perception and Trust in Using Food Delivery Application. Asia Pacific Management and Business Application, 011(03), 293–302. https://doi.org/10.21776/ub.apmba.2023.011.03.3

Maimaiti, M., Zhao, X., Jia, M., Ru, Y., & Zhu, S. (2018). How we eat determines what we become: opportunities and challenges brought by food delivery industry in a changing world in China. European Journal of Clinical Nutrition, 72(9), 1282–1286. https://doi.org/10.1038/s41430-018-0191-1

Muangmee, C., Kot, S., Meekaewkunchorn, N., Kassakorn, N., & Khalid, B. (2021). Factors determining the behavioral intention of using food delivery apps during covid-19 pandemics. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1297–1310. https://doi.org/10.3390/jtaer16050073

Nadlifatin, R., Rahmanqa, A., Razif, M., & Persada, S. F. (2023). Consumer Insight During Covid-19: Understanding the Influence of Price Saving Benefits, Time Saving Benefits, and Food Safety Risk Perception To Consumer Intention On Online Food Delivery. Jurnal Manajemen Teknologi, 22(3), 218–228. https://doi.org/10.12695/jmt.2023.22.3.1

Ngo, T. T. A., An, G. K., Dao, D. K., Nguyen, N. Q. N., Phong, B. H., & Nguyen, N. Y. V. (2025). Unveiling the nexus between logistics service quality and customer repurchase intentions in E-commerce sector. Research in Transportation Business and Management, 63(July), 101474. https://doi.org/10.1016/j.rtbm.2025.101474

Nguyen, T. T. H., Nguyen, N., Nguyen, T. B. L., Phan, T. T. H., Bui, L. P., & Moon, H. C. (2019). Investigating consumer attitude and intention towards online food purchasing in an emerging economy: An extended TAM approach. Foods, 8(11), 1–15. https://doi.org/10.3390/foods8110576

Permasih, D., Suroso, A. I., & Hasanah, N. (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

Pokhrel, L., & Shah, R. (2022). Factors Affecting Behavioural Intention of Online Food Delivery Service Consumers in Kathmandu Valley. Journal of Business and Social Sciences Research, 7(2), 79–94. https://doi.org/10.3126/jbssr.v7i2.51494

Pramezwary, A., Yulius, K. G., Viensa, V. P., & Pujangga, J. F. (2023). Factors Driving Generation Z’S Use of Online Food Delivery Service At the End of Pandemic. Jurnal Manajemen Perhotelan, 9(2), 101–112. https://doi.org/10.9744/jmp.9.2.101-112

Purwianti, L., Nurjanah, L., Aqmi, A. L. Z., & Yulianto, E. (2025). Integrating TAM, TPB, and Time-Saving Orientation to Predict Continued Use of Online Food Delivery: Customer Experience in Distribution Services. Journal of Distribution Science, 23(3), 79–90. https://doi.org/10.15722/jds.23.03.202503.79

Purwianti, L., Nurjanah, L., Katherine, K., & Chen, R. (2024). The Impact of TAM, Social Influence, and Information Quality on Purchase Intention in E-commerce. Jurnal Organisasi Dan Manajemen, 20(2), 187–206. https://doi.org/10.33830/jom.v20i2.9123.2024

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(March), 221–230. https://doi.org/10.1016/j.jretconser.2019.05.025

Sin, L. G., Goh, W. Z., Goh, C. C., Kumaresan, H. A., & Goh, P. K. (2022). Will You Continue to Use Food Delivery Services During the Transition to the Endemic Phase of the Covid-19 Pandemic? International Journal of Tourism & Hospitality in Asia Pasific, 5(3), 26–37. https://doi.org/10.32535/ijthap.v5i3.1877

Statista. (2025). Changes in consumer dining preferences due to the COVID-19 pandemic in Indonesia as of July 2020. Hanadian Nurhayati-Wolff.

Tan, S. Y., Lim, S. Y., & Yeo, S. F. (2024). Online food delivery services: cross-sectional study of consumers’ attitude in Malaysia during and after the COVID-19 pandemic. F1000Research, 10, 972. https://doi.org/10.12688/f1000research.73014.2

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

Weiler, A. S., & Gilitwala, B. (2024). Why Bangkokians use online food delivery services after COVID-19 restrictions have been lifted. Rajagiri Management Journal, 18(2), 151–166. https://doi.org/10.1108/ramj-08-2023-0244

Zanetta, L. D. A., Hakim, M. P., Gastaldi, G. B., Seabra, L. M. A. J., Rolim, P. M., Nascimento, L. G. P., Medeiros, C. O., & da Cunha, D. T. (2021). The use of food delivery apps during the COVID-19 pandemic in Brazil: The role of solidarity, perceived risk, and regional aspects. Food Research International, 149(April). https://doi.org/10.1016/j.foodres.2021.110671

Zhai, X., Wang, M., & Ghani, U. (2020). The SOR (stimulus-organism-response) paradigm in online learning: an empirical study of students’ knowledge hiding perceptions. Interactive Learning Environments, 28(5), 586–601. https://doi.org/10.1080/10494820.2019.1696841

Zhang, L., Yin, Y., Liu, L., & Yang, S. (2025). Exploring the effects of AR presence and personal norms on museum visitor pro-environmental behaviour intentions. Scientific Reports, 15(1), 1–13. https://doi.org/10.1038/s41598-025-11119-2

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(May), 102683. https://doi.org/10.1016/j.ijhm.2020.102683

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Published

2025-12-31

How to Cite

Attitude and the Mediating Role in Online Food Delivery Continuance Intention. (2025). Journal of Consumer Sciences, 10(3), 577-600. https://doi.org/10.29244/jcs.10.3.577-600