Factors affecting consumer intentions and actual behavior: A case of food delivery applications
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DOIhttp://dx.doi.org/10.21511/im.20(2).2024.03
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Article InfoVolume 20 2024, Issue #2, pp. 29-39
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Creative Commons Attribution 4.0 International License
Customers and food vendors communicate directly through mobile devices. Consumers easily purchase pre-prepared meals via food delivery applications, no matter where they are, even at the convenience of their residences. Therefore, this paper aims to analyze the determinants that affect customers’ propensity to purchase and their actual behavior in the setting of food delivery applications. The impact that subjective norms have on consumers’ attitudes toward food ordering via food delivery applications is also examined. The theory of reasoned action and prospect theory are the two basic theories that this study draws on. A convenience sample approach was used to gather data from 288 consumers in Vietnam who placed meal orders using food delivery applications. The data collection was conducted using Google Forms. The results indicated that consumers’ attitude toward purchasing food via food delivery applications positively influenced their buying propensity (β = 0.191, p = 0.001). Similarly, the findings also highlighted that consumers’ subjective norm positively affected both their attitude (β = 0.417, p = 0.000) and their inclination to purchase (β = 0.258, p = 0.000). Likewise, discount framing emerged as the most influential factor affecting purchase intentions (β = 0.262, p = 0.000). Furthermore, customers’ intentions significantly contributed to their actual behavior in acquiring pre-prepared meals through food delivery applications (β = 0.556, p = 0.000). Ultimately, the study offered suggestions for executives, identified limits, and proposed avenues for future research.
Acknowledgment
The author acknowledges Industrial University of Ho Chi Minh City that supported this study.
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JEL Classification (Paper profile tab)M10, M30, M31
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References46
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Tables4
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Figures2
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- Figure 1. Research model
- Figure 2. PLS results
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- Table 1. Respondent demographics
- Table 2. Measurement scales results
- Table 3. Cross loadings
- Table 4. Results of hypotheses testing
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- Agmeka, F., Wathoni, R. N., & Santoso, A. S. (2019). The influence of discount framing towards brand reputation and brand image on purchase intention and actual behaviour in e-commerce. Procedia Computer Science, 161, 851-858.
- Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.
- 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, 50, 28-44.
- Anesbury, Z., Nenycz-Thiel, M., Dawes, J., & Kennedy, R. (2016). How do shoppers behave online? An observational study of online grocery shopping. Journal of Consumer Behaviour, 15(3), 261-270.
- 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), Article 10177.
- Chen, A., & Peng, N. (2012). Green hotel knowledge and tourists’ staying behavior. Annals of Tourism Research, 39(4), 2211-2216.
- 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.
- Choo, H. J., Chung, J. E., & Thorndike Pysarchik, D. (2004). Antecedents to new food product purchasing behavior among innovator groups in India. European Journal of Marketing, 38(5-6), 608-625.
- Chowdhury, R. (2023). Impact of perceived convenience, service quality and security on consumers’ behavioural intention towards online food delivery services: The role of attitude as mediator. SN Business & Economics, 3(1), 1-23.
- Chung, J. E., & Thorndike Pysarchik, D. (2000). A model of behavioral intention to buy domestic versus imported products in a Confucian culture. Marketing Intelligence & Planning, 18(5), 281-291.
- Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley Publishing.
- Gendall, P., Hoek, J., Pope, T., & Young, K. (2006). Message framing effects on price discounting. Journal of Product and Brand Management, 15(7), 458-465.
- Hair, J., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage Publications.
- Janiszewski, C., & Cunha, M. (2004). The influence of price discount framing on the evaluation of a product bundle. Journal of Consumer Research, 30(4), 534-546.
- 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), Article 64.
- Jusoh, Z. M., Saworo, S. N. W., Rahiman, N., & Zainudin, N. (2022). Determinants of consumer’s purchasing behavior towards online food delivery services. International Journal of Academic Research in Business and Social Sciences, 12(12), 2094-2113.
- Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-292.
- 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.
- 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.
- Khan, U., & Dhar, R. (2010). Price-framing effects on the purchase of hedonic and utilitarian bundles. Journal of Marketing Research, 47(6), 1090-1099.
- Khandelwal, U., & Singh, T. P. (2022). An empirical study of consumer attitude toward adoption of online food ordering app. International Journal of E-Services and Mobile Applications, 14(1), 1-18.
- Kotler, P., & Armstrong, G. (2018). Principles of marketing (17th ed.). Pearson Education Limited.
- Liu, M. W., Wei, C., Yang, L., & Keh, H. T. (2022). Feeling lucky: How framing the target product as a free gift enhances purchase intention. International Journal of Research in Marketing, 39(2), 349-363.
- McKechnie, S., Devlin, J., Ennew, C., & Smith, A. (2012). Effects of discount framing in comparative price advertising. European Journal of Marketing, 46(11/12), 1501-1522.
- Michalikova, K. F., Blazek, R., & Rydell, L. (2022). Delivery apps use during the COVID-19 pandemic: Consumer satisfaction judgments, behavioral intentions, and purchase decisions. Economics, Management & Financial Markets, 17(1), 72-83.
- Miniard, P. W., & Cohen, J. B. (1983). Modeling personal and normative influences on behavior. Journal of Consumer Research, 10(2), 169-180.
- Narintorn, W., & Chaipoopirutana, S. (2019). A study of factors influencing intention to purchase food online towards a mobile application in Bangkok, Thailand. Proceedings of the Burapha University International Conference 2019 (pp. 247-260).
- Novanda, R. R. (2021). Study theory of reasoned action (TRA) on the intention of consuming organic vegetables (Study case in the Bengkulu Province, Indonesia). Natural Volatiles & Essential Oils, 8(6), 3425-3436.
- Núñez-Fernández, M., Pérez-Villarreal, H. H., & Mayett-Moreno, Y. (2021). Comparing models with positive anticipated emotions, food values, attitudes and subjective norms as influential factors in fast-food purchase intention during the COVID-19 pandemic in two channels: Restaurants and mobile apps. Sustainability, 13(22), Article 12857.
- Pasek, G. W., & Kasih, N. L. S. (2021). Price discount framing: How it can increase the purchase intention? International Journal of Social Science and Business, 5(1), 133-139.
- Paul, J., Modi, A., & Patel, J. (2016). Predicting green product consumption using theory of planned behavior and reasoned action. Journal of Retailing and Consumer Services, 29, 123-134.
- Piroth, P., Ritter, M. S., & Rueger-Muck, E. (2020). Online grocery shopping adoption: Do personality traits matter? British Food Journal, 122(3), 957-975.
- 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), Article 76.
- Putri, A. N., Nurmalina, R., & Suprehatin, S. (2023). Factors influencing ready-to-eat meal consumer’s intention to use food delivery apps during the Covid-19 pandemic. Jurnal Manajemen & Agribisnis, 20(1), 1-11.
- Ramayah, T., Lee, J. W. C., & Mohamad, O. (2010). Green product purchase intention: Some insights from a developing country. Resources, Conservation and Recycling, 54(12), 1419-1427.
- 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.
- Ryan, M. J. (1982). Behavioral intention formation: The interdependency of attitudinal and social influence variables. Journal of Consumer Research, 9(3), 263-278.
- Sari, N. P., Bahri, & Ardhi. (2022). Buying behavior in online food delivery applications during the Covid-19 pandemic. Jurnal Riset Akuntansi Dan Bisnis Airlangga, 7(1), 1211-1231.
- Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology and Marketing, 39(5), 1035-1064.
- Schiffman, L., & Wisenblit, J. (2019). Consumer behavior (12th ed.). Pearson.
- Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15(3), 325-343.
- Thaler, R. (1985). Mental accounting and consumer choice. Marketing Science, 4(3), 199-214.
- Tobias-Mamina, R. J., & Maziriri, E. T. (2023). Millennial street food consumption: An integrated theory of reasoned action approach. International Review of Management and Marketing, 13(1), 11-18.
- 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.
- Weisstein, F. L., Asgari, M., & Siew, S. W. (2014). Price presentation effects on green purchase intentions. Journal of Product and Brand Management, 23(3), 230-239.
- 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.