Factors Influencing Consumer Behavioral Intention to Use Food Delivery Services: A Study of Foodpanda

Dwi Nita Aryani; Padmalini Singh; Yun Xuan Khor; Daisy Mui Hung Kee; Kornelia Selvia; Cui Wen Lee; Yee Hsien Lee; Levisha Anantharavoo

doi:10.32535/jcda.v5i1.1386

Factors Influencing Consumer Behavioral Intention to Use Food Delivery Services: A Study of Foodpanda

Dwi Nita Aryani, Padmalini Singh, Yun Xuan Khor, Daisy Mui Hung Kee, Kornelia Selvia, Cui Wen Lee, Yee Hsien Lee, Levisha Anantharavoo

Abstract

With the advancement of technology in this 21st century, food delivery services have emerged as a new wave in the food and beverage industry. People can now order the food with a simple click of a button. This study analyzes the factors influencing consumersâ€™ behavioral intention to use the food delivery apps-Foodpanda. Both primary and secondary data were collected through various sources. An online survey form was prepared to collect information from 100 respondents. The results indicated that factors including price, information quality and the perceived usefulness of the Foodpanda application have significant influences toward the consumer behavioral intention to use the food delivery service.

Full Text:

PDF

References

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, 28â€“44.

Ajzen, I., Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs: Prentice Hall.

Arghya, R., Amandeep, D., Pradeep, K., & Puneet, K. (2019). Why do people use food delivery apps (FDA)? A uses and gratification theory perspective. Journal of Retailing and Consumer Services, 51, 221-230.

Bagozzi, R. P. (1992). The self-regulations of attitudes, intentions, and behaviour. Journal of Social Psychology Quarterly, 55(22), 178-204.

Bansal, H. S., & Voyer, P. A. (2000). Word-of-mouth processes within a services purchase decision context. Journal of Service Research, 3, 166-177.

Boulding, W., Kalra, A., & Staelin, R. (1993). A dynamic process model of service quality: from expectations to behavioural intentions. Journal of Marketing Research, 30, 7-27.

Cakici, A. C., Akgunduz, Y., & Yildirim, O. (2019). The impact of perceived price justice and satisfaction on loyalty: The mediating effect of revisit intention. Journal of Tourism Review, 74(3), 443â€“462.

Chen, Y. M., Hsu, T. H., & Lu, Y. J. (2018). Impact of flow on mobile shopping intention. Journal of Retailing and Consumer Services, 41, 281â€“287.

Cronin, J. J., & Taylor, A. S. (1992). Measuring service quality: A re-examination and extension. Journal of Marketing, 56, 55-68.

Day, G. S. (1969). A two-dimensional concept of brand loyalty. Journal of Advertising Research, 9(3), 29-35.

Delivery, H. (2021). Delivery hero annual report 2020. Retrieved from https://ir.deliveryhero.com/download/companies/delivery/Annual%20Reports/DE000A2E4K43-JA-2020-EQ-E-00.pdf

Foodpanda. (2021a) About us. Retrieve from: https://www.foodpanda.com/about/

Foodpanda. (2021b) Backgrounder: Foodpanda APAC. Retrieved from: https://drive.google.com/file/d/1GHdXYk8ReRtPRn903LZ_WND-TGvnZSpc/view.

Frost, J. (2017, April 12). How to interpret P-values and coefficients in regression analysis. Retrieved from https://statisticsbyjim.com/regression/interpret-coefficients-p-values-regression/

Gentry, L., & Calantone, R. (2002). A comparison of three models to explain shop-bot use on the web. Psychology and Marketing Journal, 19(11), 945-956.

Huang, L., Bai, L., Zhang, X., & Gong, S. (2019). Re-understanding the antecedents of functional foods purchase: Mediating effect of purchase attitude and moderating effect of food neophobia. Food Quality and Preference, 73(4), 266â€“275.

Kamilah, N., Kee, D. M. H., Syafiq, M., Aina, S., Yap, H. S., Alqallaf, A. A., & Quttainah, M. A. (2020). Factors affecting organizational success: A case study of Foodpanda. Journal of the Community Development in Asia, 3(3), 58-69.

Kotler, P., & Armstrong, G. (2010). Principles of marketing. New Jersey: Pearson Prentice Hall.

Kee, D. M. H., Al-Anesi, M., Chandran, S., Elanggovan, H., Nagendran, B., & Mariappan, S. (2021). COVID-19 as a double-edged sword: The perfect opportunity for GrabFood to optimize its performance. Journal of the Community Development in Asia, 4(1), 53-65.

Kim, H., & Niehm, L. S. (2009). The impact of website quality on information quality, value, and loyalty intentions in apparel retailing. Journal of Interactive Marketing, 3, 221-233.

Lee, E. Y., Lee, S. B., & Jeon, Y. J. J. (2017). Factors influencing the behavioral intention to use food delivery apps. Social Behaviour and Personality International Journal, 45(9), 1461â€“1473.

Lee, S., Illia, A., & Lawson-Body, A. (2010). Perceived price fairness of dynamic pricing. Journal of Industrial Management & Data Systems, 111(4), 531- 550.

Lee, S. W. (2019). Determinants of continuous intention on food delivery apps: Extending UTAUT2 with information quality. Retrieved from https://www.mdpi.com/2071-1050/11/11/3141

Lutz, R. J., & Reilly, P. J. (1973). An exploration of the effects of perceived social and performance risk on consumer information acquisition. Advances in Consumer Research, 1, 393-405.

Malle, B. F., & Knobe, J. (1997). The folk concept of intentionality. Journal of Experimental Social Psychology, 33(2), 101â€“121.

Maneechot, P., & Chirapanda, S. (2013). Factors affecting behavioural intention to purchase low-cost airline E-ticket in Thailand. International Journal Business and Economics, 6(1), 41-57.

Mukaka, M. M. (2012). Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi Medical Journal: The Journal of Medical Association of Malawi, 24(3), 69â€“71.

Muangmee, C. (2021). Factors determining the behavioral intention of using food delivery apps during COVID-19 pandemics. Retrieved from https://www.mdpi.com/0718-1876/16/5/73

Nilsson, O. N., & Olsen, J. K. (1995). Measuring consumer retail store loyalty. European Advances in Consumer Research, 289-297.

,Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10), e02690. doi:10.1016/j.heliyon.2019.e02690.

Pham, T. S. H., & Ahammad, M. F. (2017). Antecedents and consequences of online customer satisfaction: A holistic process perspective. Journal of Technological Forecasting and Social Change,124, 332â€“342.

Salisbury, W. D., Pearson, R. A., Pearson, R. W., & Miller, D. W. (2001). Perceived security and world wide web purchase intention. Journal of Global Business and Social Entrepreneurship, 2, 130â€“140.

Slater, S. F. & Narver, J. C. (2000). The positive effect of a market orientation on business profitability: A balanced replication. Journal of Marketing, 54, 20-35.

Song, J. H., & Zinkhan, G.M. (2003). Features of web site design, perceptions of web site quality, and patronage behaviour. Proccedings of Association of Collegiate Marketing Educators Conference, 106-114.

Taber, K. S. (2018). The use of Cronbachâ€™s Alpha when developing and reporting research instruments in science education. Research in Science Education, 48, 1-24. doi:10.1007/s11165-016-9602-2.

Thaler, R. H. (2008). Mental accounting and consumer choice: Anatomy of a failure. Marketing Science, 27(1), 15-25. doi:10.1287/mksc.1070.0330.

Van Noort G., Kerkhof, P., & Fennis, B. M. (2008). The persuasiveness of online safety cues: The impact of prevention focus compatibility of web content on consumersâ€™ risk perception, attitudes, and intentions. Journal of Interactive Marketing, 22(4), 58-72.

Venkatesh, V., Brown, S., Maruping, L., & Bala, H. (2008). Predicting different conceptualizations of system use: The competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS Quarterly, 32(3), 483-502.

Vivek, S., Jeevandas, M. S., & Nair, L. D. (2019). Factors affecting consumer purchase intention toward green electrical product. International Journal of Innovative Technology and Exploring Engineering, 9(2), 4654â€“4659.

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, 150â€“162.

Zeithaml, V. B., Benny, L. L., & Parasuraman, A. (1993). The nature and determinants of customer expectations of service. Journal of the Academy of Marketing Science, 21(1), 1â€“12.

Zhao, Y. (2019). A hybrid IT framework for identifying high-quality physicians using big data analytics. International Journal of Information Management, 47, 65-75.

DOI: https://doi.org/10.32535/jcda.v5i1.1386